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The beauty of data visualization - David McCandless
 
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View full lesson: http://ed.ted.com/lessons/david-mccandless-the-beauty-of-data-visualization David McCandless turns complex data sets, like worldwide military spending, media buzz, and Facebook status updates, into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world. Talk by David McCandless.
Views: 527643 TED-Ed
Visual Data Representation Techniques: Combining Art and Design
 
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Representing data visually is the way to design and market your content. People are using images, videos and infographics to display information in an interactive way. How can people "see" your data and not simply read it? Here are data visualization techniques to uplift your dreary content. For more on data visualization, visit our blog: http://blog.logodesignguru.com/data-v... Want design updates? Visit our social media pages: Google: https://plus.google.com/+Logodesigngu... Twitter: https://twitter.com/LogoDesignGuru Facebook: https://www.facebook.com/LogoDesignGuru/ LinkedIn: https://www.linkedin.com/company/logodesignguru Enjoy Watching!
Views: 1508 Logo Design Guru
Data Mining and Visualization Paradata Project
 
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This is my final project for my Data mining class. Links to my information, github, and my powerpoint for research purposes: Infographic: https://infogr.am/video_games_and_viewing_them Github: https://github.com/jonlouiscool/Final-Project/tree/master Powerpoint: https://docs.google.com/presentation/d/1daRLP6r0Cw6PPKStIBwucYn2Jv8uBGnYgdWyy2YN8iI/edit?usp=sharing Sorry if the quality is low, this is due to the converter. All sources are found in the powerpoint. Hope you enjoy, and remember gaming is the future.
Views: 220 Jonlou Czajka
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 804829 David Langer
How to explain Data Science Using Presentation Diagrams
 
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Download: https://www.infodiagram.com/diagrams/data_science_analytics_icons_ppt_flat.html?cp=camp5 What's Data Science? How it related to Big Data? And Data Mining? Example of simple visual explanation of areas that compose Data Science - A. data sources including Big Data, B. algorithm for processing data e.g. as statistics and machine learning algorithms C. business use. Illustration of data analysis process. See inspiration how you can present these popular data related concepts visually. Using simple charts and symbols. Adapt the presentation to your context. And let me know in comments how you did it :). I'd love to hear your opinion. All this is Do It Yourself graphics using Powerpoint. Read visualization tips on IT technology slide design on my https://blog.infodiagram.com Comments are welcome!
"Edward Tufte Principles" lecture
 
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Find the full course - over 5 hours of lectures and detailed Excel walk-through examples at: http://www.udemy.com/dataessentials
Views: 18385 Erik B
Visualizing Data Using t-SNE
 
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Google Tech Talk June 24, 2013 (more info below) Presented by Laurens van der Maaten, Delft University of Technology, The Netherlands ABSTRACT Visualization techniques are essential tools for every data scientist. Unfortunately, the majority of visualization techniques can only be used to inspect a limited number of variables of interest simultaneously. As a result, these techniques are not suitable for big data that is very high-dimensional. An effective way to visualize high-dimensional data is to represent each data object by a two-dimensional point in such a way that similar objects are represented by nearby points, and that dissimilar objects are represented by distant points. The resulting two-dimensional points can be visualized in a scatter plot. This leads to a map of the data that reveals the underlying structure of the objects, such as the presence of clusters. We present a new technique to embed high-dimensional objects in a two-dimensional map, called t-Distributed Stochastic Neighbor Embedding (t-SNE), that produces substantially better results than alternative techniques. We demonstrate the value of t-SNE in domains such as computer vision and bioinformatics. In addition, we show how to scale up t-SNE to big data sets with millions of objects, and we present an approach to visualize objects of which the similarities are non-metric (such as semantic similarities). This talk describes joint work with Geoffrey Hinton.
Views: 109939 GoogleTechTalks
Lecture - 34 Data Mining and Knowledge Discovery
 
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Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 132592 nptelhrd
Cyberbit SCADAShield Use Case: Data Visualization
 
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This use case shows SCADAshield dynamic dashboards and data visualization capabilities
Views: 488 Cyberbit Ltd.
Data Visualization Lessons
 
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This video serves as a portal to 10 other curated videos on YouTube which cover the topic of "Data Visualization" and other related topics such as "Infographics". Videos: _________________________________________ 1: The value of data visualization - http://www.youtube.com/watch?v=xekEXM0Vonc Additional Reading: - Column Five (video creator) blog: http://columnfivemedia.com/news/ - Visua.ly blog post about why data visualization is so hot: http://blog.visual.ly/why-is-data-visualization-so-hot/ - Article titled "Data visualization Past,Present, and Future": http://www.perceptualedge.com/articles/Whitepapers/Data_Visualization.pdf _________________________________________ 2: What Are Infographics? - http://www.youtube.com/watch?v=x3RTS1JfMy8 Additional Reading: - Wikipedia: http://en.wikipedia.org/wiki/Infographic - An infographic explaining what infographics are: http://www.customermagnetism.com/infographics/what-is-an-infographic/ _________________________________________ 3: Big Data Week Data Visualization London - Francesco D'Orazio "10 reasons why we visualize data" - http://www.youtube.com/watch?v=npEKPZxQuns Additional Reading: - Slides used in the video: http://www.slideshare.net/Facegroup/10-reasons-why-we-visualise-data - Blog post on why we should visualize data: http://seeingcomplexity.wordpress.com/2011/03/13/why-visualize-data-we-dont-know-yet/ - Using Data Visualization to Find Insights in Data: http://datajournalismhandbook.org/1.0/en/understanding_data_7.html _________________________________________ 4: David McCandless: The beauty of data visualization - http://www.youtube.com/watch?v=pLqjQ55tz-U Additional Reading: - David McCandless website: http://www.informationisbeautiful.net/ - The Information is Beautiful Awards website: http://www.informationisbeautifulawards.com/ - Beautiful Data blog: http://beautifuldata.net/ _________________________________________ 5: I Like Pretty Graphs: Best Practices for Data Visualization Assignments - http://www.youtube.com/watch?v=pD_OvRtH0aY Additional Reading: - Eight Principles of Data Visualization blog post: http://www.information-management.com/news/Eight-Principles-of-Data-Visualization-10023032-1.html - Design principles slides: http://www.slideshare.net/gelvan/design-principles _________________________________________ 6: How to Create Infographics Part I - http://www.youtube.com/watch?v=X4-_e8zliqg Additional Reading: - Interactive tutorial on creating an infographic: http://www.asmallbrightidea.com/pages/tutorial.html - Blog post with 5 infographics to teach you how to create infographics in powerpoint: http://blog.hubspot.com/blog/tabid/6307/bid/34223/5-Infographics-to-Teach-You-How-to-Easily-Create-Infographics-in-PowerPoint-TEMPLATES.aspx _________________________________________ 7: EFFECTIVE INFORMATION VISUALIZATION by Matthias Shapiro - EP 31 - http://www.youtube.com/watch?v=_l-Dby7-JG4 Additional Reading: - Blog post on creating effective data visualizations: http://online-behavior.com/analytics/effective-data-visualization _________________________________________ 8: Data, Design, Meaning - http://www.youtube.com/watch?v=vfYul2E56fo Additional Reading: - Idan Gazit personal website: http://gazit.me/ - Collection of Idan Gazit's slides including the ones used in the videos: https://speakerdeck.com/idangazit _________________________________________ 9: Data Viz: You're Doing it Wrong - http://www.youtube.com/watch?v=i93iWza8sG8 Additional Reading: - Common Mistakes in Data visualization slides: http://www.slideshare.net/amedeevangasse/common-mistakes-in-data-visualization - Visua.ly blog post about 4 easy visualization mistakes to avoid: http://blog.visual.ly/data-visualization-mistakes-to-avoid/ _________________________________________ 10: Designing Data Visualizations with Noah Iliinsky - http://www.youtube.com/watch?v=R-oiKt7bUU8 Additional Reading: - Noah Iliinsky books published and profile: http://www.oreillynet.com/pub/au/4419 - Noah Iliinsky virtual seminar on "Telling the Right Story With Data Visualizations": http://www.uie.com/brainsparks/2012/03/16/noah-iliinsky-telling-the-right-story/ - Noah Iliinsky podcast on "The Power of Data Visualizations": http://www.uie.com/brainsparks/2012/01/27/noah-iliinsky-the-power-of-data-visualizations/ _________________________________________
Views: 1790 JohnLio07
ggplot2 Tutorial | ggplot2 In R Tutorial | Data Visualization In R | R Training | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This "ggplot2 Tutorial" by Edureka is a comprehensive session on the ggplot2 in R. This tutorial will not only get you started with the ggplot2 package, but also make you an expert in visualizing data with the help of this package. This tutorial will comprise of these topics: 1) Base R Graphics 2) Grammar of Graphics 3) GGPLOT2 package Check out our R Playlist: https://goo.gl/huUh7Y Subscribe to our channel to get video updates. Hit the subscribe button above. #R #Rtutorial #Ronlinetraining #ggplot2 #ggplotinr How it Works? 1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you: 1. Understand concepts around Business Intelligence and Business Analytics 2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others 3. Apply various supervised machine learning techniques 4. Perform Analysis of Variance (ANOVA) 5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc 6. Use various packages in R to create fancy plots 7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics. - - - - - - - - - - - - - - - - Why learn Data Analytics with R? The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists. Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course For more information, please write back to us at [email protected] Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 20579 edureka!
INTRODUCTION TO CLASSIFICATION - DATA MINING
 
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Classification consists of predicting a certain outcome based on a given input. In order to predict the outcome, the algorithm processes a training set containing a set of attributes and the respective outcome, usually called goal or prediction attribute. The algorithm tries to discover relationships between the attributes that would make it possible to predict the outcome. Next the algorithm is given a data set not seen before, called prediction set, which contains the same set of attributes, except for the prediction attribute – not yet known. The algorithm analyses the input and produces a prediction.
Views: 31006 Nina Canares
Data Mining Presentation
 
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Data Mining Presentation
Views: 760 Suyun Wang
Data Visualization Essentials: Choosing the Type of Visualization for the Data
 
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This video is a sample from Skillsoft's video course catalog. After watching it, you will be able to distinguish between the different types of visualization techniques. Joe Khoury is a Professional Engineer, IT Consultant, and Entrepreneur. As a professional engineer, he has logged over 8000 hours managing projects. Driven by entrepreneurial motivation, Mr. Khoury has founded and sold two IT-based businesses and has been involved in the elearning market for the better part of 12 years. Mr. Khoury writes for an IT-based elearning blog and is a published author for the IEEE. He often speaks at IT conferences on technology-based subjects globally. Skillsoft is a pioneer in the field of learning with a long history of innovation. Skillsoft provides cloud-based learning solutions for our customers worldwide, who range from global enterprises, government and education customers to mid-sized and small businesses. Learn more at http://www.skillsoft.com. https://www.linkedin.com/company/skillsoft http://www.twitter.com/skillsoft https://www.facebook.com/skillsoft
Views: 9134 Skillsoft YouTube
Data Visualization, Dashboards, & Analytical Design for Everyone
 
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Watch the full webinar here: smartbridge.com/digtranseveryone Bigger data and decentralized analytics are influencing the number of people building analytical content. Regardless of how much data is behind a question, prediction, optimization, or process, it still needs to be presented in a succinct and intuitive way. In this topic we will cover data visualization and dashboard design, starting with some background and ending with tips & tricks for applying good design principles in MicroStrategy. SPEAKERS: +Ryan Campanile, Director of Business Intelligence and Analytics, Smartbridge
Views: 352 Smartbridge
Data Mining Presentation
 
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Presentation by Naveed Hussain and Ben Newman. COMP3776 - Data Mining and Text Analytics. Coursework 2.
Views: 53 Naveed Hussain
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 98249 LearnEveryone
Online Course - Advanced Data Visualization and Analysis
 
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00:59 Display the image with stretch tool 06:57 Create chart map 15:29 Chart in symbology 20:20 Use spatial join to solve point, line and polygon location problems 29:23 Create topological analysis map, density map, data interpolation 42:09 Tools for specific data process and analysis Several display techniques can help you view the data more sharply and clearly, such as image stretching and re-sampling. This course collects the practical topics about image display, geometry location analysis, data interpolation and other advanced features in SuperGIS Desktop. ● Use spatial join to solve point, line and polygon location problems ● Create topological analysis map, density map, data interpolation ● Create chart map ● Introduce the tools for specific data process and analysis
Views: 723 Supergeo TV
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 415465 Brandon Weinberg
Data Mining : Visualization with Tableau
 
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Home Assignment, the 1st video.
Views: 112 Ahram Kang
Real Estate Data - Presentation
 
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Published as an example of Excel and PowerPoint data analysis and presentation.
Views: 122 Dan Morris
Visualizing Multivariate Data: Turning Information Into Understanding
 
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Agustin Calatroni gives a presentation on data visualization as it relates to clinical trials using real world examples from his experiences working on clinical trials related to asthma and allergy.
Views: 790 RhoInc1984
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
 
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The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 744924 Dr Nic's Maths and Stats
Educational Data Mining (EDM): Turning Big Data into Big Gains for Students
 
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From making travel plans, to online purchases, to watching videos, each day we generate vast amounts of data that contribute to the world of big data. We have already seen big data play a significant role in areas like marketing and science. Now, education has joined the big data movement. In the past, education data was sparse and disparate. Collected across individual gradebooks and housed within multiple platforms, data was inaccessible, laborious, and difficult to analyze. Thankfully, this has changed. Now, educators and researchers can access incredibly rich and meaningful logs about student learning behavior on educational software, and by employing EDM (education data mining), discover a great deal about how students learn. By connecting this powerful data and asking the right questions, there is potential to change the future of education. Learn about the ability to leverage meaningful data with EDM and learning analytics, and find out how to turn big data into big gains for students. Attend this webinar to discover how: Learning analytics and EDM are already transforming education EDM advancements can assess students’ knowledge as they are learning Specific EDM methods are proving useful in understanding and predicting which students are likely to succeed in 21st century careers Learning analytics can provide insight into the effectiveness of educational technology programs and the conditions under which these programs have the greatest return on learning
Views: 692 eschoolnews
Data Visualization: Seeing the Story in the Data and  Learning to Effectively Communicate
 
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A presentation based, on the works of Stephen Few, presented at the Center for Literacy and Research Instruction's 50th Anniversary Conference. The presentation focuses on designing graphs that are in tune with the brain/eye perceptual subsystem, thus maximizing graph effectiveness.
Views: 8834 Tyler Rinker
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
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***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - Please write back to us at [email protected] or call us at +91 90660 20866 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 152746 edureka!
Visualizing Unstructured Data with Tableau, Featuring Bill Inmon
 
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How do you turn unstructured data into a visualization? Over 80% of the data in a corporation is textual, including emails, contracts, chat sessions, social media, account notes and much more. In this session, Bill Inmon--known as the Father of Data Warehousing--will discuss "textual disambiguation," a new approach for transforming unstructured data into a database that can be used in Tableau visualizations. Textual disambiguation leverages several advanced techniques to create a state-of-the-art method for leveraging and understanding an organization's unstructured data.
Views: 4970 Tableau Software
Data Mining and Predictive Analytics Final Project
 
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Modeling Analysis (Education Dataset) in SPSS
Views: 64 gong wen
What Is Data Science? Data Science Course - Data Science Tutorial For Beginners | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Edureka Data Science course video (Data Science Blog Series: https://goo.gl/yGjZfs) will take you through the need of data science, what is data science, data science use cases for business, BI vs data science, data analytics tools, data science lifecycle along with a demo. This Data Science tutorial video is ideal for beginners to learn data science and machine learning basics. You can read the blog here: https://goo.gl/lYb5Lb Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 166386 edureka!
Sentiment Analysis in R | Sentiment Analysis of Twitter Data | Data Science Training | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Sentiment Analysis Tutorial shall give you a clear understanding as to how a Sentiment Analysis machine learning algorithm works in R. Towards the end, we will be streaming data from Twitter and will do a comparison between two football teams - Barcelona and Real Madrid (El Clasico Sentiment Analysis) Below are the topics covered in this tutorial: 1) What is Machine Learning? 2) Why Sentiment Analysis? 3) What is Sentiment Analysis? 4) How Sentiment Analysis works? 5) Sentiment Analysis - El Clasico Demo 6) Sentiment Analysis - Use Cases Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #SentimentAnalysis #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 23815 edureka!
Data Visualization Techniques
 
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Hear Jami Wolbers of Market Street Solutions share her insights on some basic data visualization best practices.
Views: 1330 Tennessee Analytics
Data Visualisation: A Handbook for Data Driven Design
 
00:30
New book, printed, published and available to order now!
Views: 1963 Andy Kirk
Power BI Desktop: Build Data Model, Get Data, DAX Formulas, Visualizations, Publish 2 Web (EMT 1366)
 
01:12:07
Download File: http://people.highline.edu/mgirvin/excelisfun.htm Excel Magic Trick 1366 Full Lesson on Power BI Desktop to build Product Analysis for Gross Profit with Average, Standard Deviation, Coefficient of Variation and Histogram Calculations and Visualizations: 1. (00:04) Files to download 2. (00:12) Introduction 3. (04:42) Import Related Tables from Access 4. (05:42) Edit automatic Relationships Bi-directional Filtering to Single-directional Filtering 5. (07:22) Import Text Files From Folder 6. (08:36) Filter out file extensions that are NOT Text .txt 7. (09:38) Use “Combine Binary” Icon to combine Text Files into one table 8. (10:40) Look at “Combine Binary”: Query Creation Steps, including M Code and Power Query Function that is automatically created 9. (12:23) Change Data Types in fSales (Fact Sales) Table 10. (13:23) edit Relationship between fSales Product Table 11. (14:14) Create Calendar Table in Excel 12. (18:33) Create Frequency Distribution Category Table in Excel using Text Formula 13. (21:39) Import tables from Excel File 14. (22:52) Manually Create Relationships Between Tables 15. (23:40) Create DAX Calculated Column for Net Revenue using the RELATED function (works like VLOOKUP Exact Match in Excel) & ROUND function. Net Revenue values are stored in the “In RAM Memory” Data Model 16. (25:40) Discuss Convention for using Columns in formulas: ALWAYS USE TABLE NAME AND COLUMN/FIELD NAME IN SQUARE BRACKETS 17. (26:24) Look at How REALTED works across relationships 18. (27:07) Discussion of Row Context 19. (29:25) Create Measure for Total Revenue. This Measure is a Measure that is based on values in a Calculated Column 20. (31:15) Add Number Format to Measure so that every time the Measure is used the Number Format will appear 21. (31:53) Learn about Measures that are not dependent on Calculated Columns. See how to create Measure that does not use a Calculated Column as a source for values. UseSUMX function 22. (34:59) and (36:40) Compare creating: 1) Measures based on Calculated Columns and or Measures not based on Calculated 23. (35:39) and (42:40) Discussion of Filter Context and how it helps DAX formulas calculate Quickly on Big Data. Filter Context: When a Conditions or Criteria are selected from the Lookup Tables (Dimension Tables) they flow across the Relationships from the One-Side to the Many-Side to Filter the Fact Table down to a smaller size so that the formulas have to work over a smaller data set 24. (36:52) and (37:52) Discussion of how values created in Calculated Colum are stored in the Data Model Columnar Database and this uses RAM Memory 25. (38:54) When you must use a Calculated Column: When you need to extend the data set and add a column that has Conditions or Criteria that you want to use to Filter the Data Set 26. (40:06) Create Calculated Column For COGS using ROUND and RELATED Functions 27. (41:50) Create Calculated Column for Gross Profit 28. (43:35) Create Calculated Column on fSales Table that will create the Sales Categories “Retail” or “Wholesale” using IF & OR functions. Because it creates Criteria that will use as Filters for our Measures, This DAX formula can only be created using a Calculated Column, not a Measure 29. (46:00) Measure for Total COGS 30. (46:36) Measure for Total Gross Profit 31. (47:20) Measure for Gross Profit Percentage. This is a Ratio of two numbers. This is an example of a Measure that can ONLY be created as a Measure. It cannot be created as a Measure based on a Calculated Column 32. (48:35) Discuss Convention for using Measures in other Measures: USE SQUARE BRACKETS ONLY around the Measure name 33. (49:52) Measure for Average (Mean) Gross Profit 34. (50:20) Measure for Standard Deviation of the Gross Profit 35. (51:09) Measure for Coefficient of Variation of the Gross Profit 36. (52:43) Hide Unnecessary Columns from Report View 37. (53:01) Sort Month Name Column by Month Number 38. (54:19) Sort Category Column By Lower Limit 39. (55:25) Add Data Category Image URL for Image File Paths 40. (57:10) Create DAX Column to simulate Approximate Match Lookup using the FLOOR function 41. (59:54) Manually Create Relationship For Category Table 42. (01:00:18) Update Excel Table and Test to see if Power BI Report Updates when we Refresh 43. (01:01:57) Create Product Analysis Visualization with the first visualization: Create Table with Product Pictures and Metrics. This is Page one of our Power BI Report. 44. (01:03:13) Create Bar Chart For Mean and Standard Deviation of Gross Profit 45. (01:03:39) Create Slicers to Filter Visualizations 46. (01:04:11) Create Frequency Distribution Table & Measure to Count Transactions 47. (01:05:35) Format Table, Chart and Slicers 48. (01:07:45) Create second Page in Power BI Report with Product Revenue and COGS by Year & Month 49. (01:09:05) Publish Power BI Report online 50. (01:10:37) Generate Embed code for e-mailing Report and for embedding in web sites 51. (01:11:38) Summary
Views: 162092 ExcelIsFun
Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Tutorial
 
01:27:18
Data Analytics for Beginners -Introduction to Data Analytics https://acadgild.com/big-data/data-analytics-training-certification?utm_campaign=enrol-data-analytics-beginners-THODdNXOjRw&utm_medium=VM&utm_source=youtube Hello and Welcome to data analytics tutorial conducted by ACADGILD. It’s an interactive online tutorial. Here are the topics covered in this training video: • Data Analysis and Interpretation • Why do I need an Analysis Plan? • Key components of a Data Analysis Plan • Analyzing and Interpreting Quantitative Data • Analyzing Survey Data • What is Business Analytics? • Application and Industry facts • Importance of Business analytics • Types of Analytics & examples • Data for Business Analytics • Understanding Data Types • Categorical Variables • Data Coding • Coding Systems • Coding, coding tip • Data Cleaning • Univariate Data Analysis • Statistics Describing a continuous variable distribution • Standard deviation • Distribution and percentiles • Analysis of categorical data • Observed Vs Expected Distribution • Identifying and solving business use cases • Recognizing, defining, structuring and analyzing the problem • Interpreting results and making the decision • Case Study Get started with Data Analytics with this tutorial. Happy Learning For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 181483 ACADGILD
Episode 3: How to Visualize Your Linkedin Contact Data
 
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Ever wonder how you might create map of all your LinkedIn contacts? Check out episode 3 of our new TechChange video series--Data Day-- in which Nick and Samhir piece through Nick's LinkedIn network data using a powerful data visualization tool called kumu to reveal key relationships. https://kumu.io/ Stay tuned for future episodes and don't forget to subscribe! Follow TechChange on Twitter at @TechChange and see our latest course listings here: https://www.techchange.org/online-courses/
Views: 1233 TechChange
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a dataset for model creation and validation and how you can create a model using any machine learning algorithm! In this Machine Learning Algorithms Tutorial video you will understand: 1) What is an Algorithm? 2) What is Machine Learning? 3) How is a problem solved using Machine Learning? 4) Types of Machine Learning 5) Machine Learning Algorithms 6) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 128260 edureka!
Visualization Process for Effective Presentations & eLearning
 
13:40
Most presentations are dreadful blocks of text and bullet points. This details a process to get away from that and create fully visual slides and other content that engages your audience and helps people understand and remember your ideas, so that your presentations are more effective. Follow this six step process for great results every time. Check out https://www.brightcarbon.com for more, and to see what sales, market, and training presentation support we offer, and our eLearning solutions.
Views: 2556 BrightCarbon
data mining technology
 
01:07
Make an animated explainer video for free at: http://www.rawshorts.com Now you create your own explainer videos and animated presentations for free. Raw Shorts is a free cloud based video builder that allows you to make awesome explanation videos for your business, website, startup video, pitch video, product launch, video resume, landing page video or anything else you could use an animated explainer video. Our free video templates and explainer video software will help you create presentation videos in an instant! It's never been easier to make an animated explainer video with outstanding production value and without the cost or hassle of hiring an expensive production company or animation studio. Wait no more! Our animation software is free to use. You can make an animated video today for your landing page, website, kickstarter video, indiegogo video, pitch video and more. Simply log on and select from thousands of animated icons, animated characters and free video templates for business to make the perfect web video for your business.
Views: 435 jojo20
Principal Components Analysis - Georgia Tech - Machine Learning
 
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Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud262/l-649069103/m-661438544 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud262 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 233609 Udacity
Statistical Aspects of Data Mining (Stats 202) Day 1
 
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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 212354 GoogleTechTalks
Exporting To PowerPoint
 
03:48
In this tutorial, we explain how to setup a workbook to support exporting to a PowerPoint file.
Views: 154 XLCubed
How to Make Data Visualization with Dataiku
 
22:19
Data Science Studio Free Training 04, with Joachim Zentici (Dataiku's Research Engineer). This Free Training was recorded on August 5th, 2015. You can try Data Science Studio here http://www.dataiku.com/dss/trynow/`` Find more information about Dataiku here : http://www.dataiku.com/ And don't forget to follow us on Twitter to find out about upcoming Free Trainings here: https://twitter.com/dataiku
Views: 3049 Dataiku
WORD CLOUD TABLEAU TUTORIAL
 
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Become a cutting-edge TABLEAU expert in as little as 8 HOURS with our newest data science online course — now 95% off. Dive into all that Tableau 2018 has to offer and take your data science career to whole new heights with “Tableau 2018: Hands-On Tableau Training For Data Science” — currently rated 4.6/5 on Udemy. Learn by doing with step-by-step lectures, real-life data analytics exercises and quizzes. ================================================= 95% OFF — A limited time, YouTube ONLY offer! Enroll today ==&gt https://www.udemy.com/tableau-2018/?couponCode=YOUTUBE95 ================================================= Here’s what some of our bright students have to say about the course! “I took almost every course from [instructor] Kirill and his team. This is one of the best ones so far. Examples and pace of the course are perfect in my opinion.” — Philipp S. “Intuitive guidance about how to interpret data and present it in a way that is easily comprehensible.” — Khushwinder B. Join over 523,000 data science lovers and professionals in taking your skills to the next level. Leverage opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. Master everything there is to know about Tableau in 2018 ======================================== - Getting started - Tableau basics - Time series, aggregation and filters - Maps, scatterplots and launching your first dashboard - Joining and blending data - Creating dual axis charts - Table calculations, advanced dashboards, storytelling - Advanced data preparation - Clusters, custom territories, design features - What’s new in Tableau 2018 Learn on-the-go and at your convenience — via mobile, desktop, and TV — in a 70-lecture course that breaks down topics into fun and engaging videos while covering all the Tableau 2018 functions you’ll ever need. And don’t hesitate to start from the beginning, or skip ahead with our independent modules. Learn how to make Word Cloud in Tableau through this amazing tutorial! Get the dataset and completed Tableau workbook here: https://www.superdatascience.com/yt-tableau-custom-charts-series/ A visualisation method that displays how frequently words appear in a given body of text, by making the size of each word proportional to its frequency. All the words are then arranged in a cluster or cloud of words. Alternatively, the words can also be arranged in any format: horizontal lines, columns or within a shape. Word Clouds can also be used to display words that have meta-data assigned to them. For example, in a Word Cloud of all the World's countries, population could be assigned to each country's name to determine its size. Colour used on Word Clouds is usually meaningless and is primarily aesthetic, but it can be used to categorise words or to display another data variable. Typically, Word Clouds are used on websites or blogs to depict keyword or tag usage. Word Clouds can also be used to compare two different bodies of text together. To stay up to date with our latest videos make sure to subscribe to SuperDataScience YouTube channel!
Views: 10669 SuperDataScience
R Tutorial For Beginners | R Programming Tutorial l R Language For Beginners | R Training | Edureka
 
01:33:00
( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial: 1. Why do we need Analytics ? 2. What is Business Analytics ? 3. Why R ? 4. Variables in R 5. Data Operator 6. Data Types 7. Flow Control 8. Plotting a graph in R Check out our R Playlist: https://goo.gl/huUh7Y Subscribe to our channel to get video updates. Hit the subscribe button above. #R #Rtutorial #Ronlinetraining #Rforbeginners #Rprogramming How it Works? 1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you: 1. Understand concepts around Business Intelligence and Business Analytics 2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others 3. Apply various supervised machine learning techniques 4. Perform Analysis of Variance (ANOVA) 5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc 6. Use various packages in R to create fancy plots 7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics. - - - - - - - - - - - - - - - - Why learn Data Analytics with R? The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists. Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course For more information, please write back to us at [email protected] Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 323682 edureka!
Essential Data Visualization Tools
 
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Here are the 10 Best Data Visualization Tools for a Real Data Savvy. Creating charts and infographics can be time consuming, but these tools makes it easier.
Views: 135 Suraj Pipariya
Getting Started with Orange 02: Data Workflows
 
02:35
Creating a data analysis workflow in Orange data mining software. License: GNU GPL + CC Music by: http://www.bensound.com/ Website: http://orange.biolab.si/ Created by: Laboratory for Bioinformatics, Faculty of Computer and Information Science, University of Ljubljana
Views: 67198 Orange Data Mining