Notes from Coursera's Tableau specialization
Course 1:Fundamentals of Visualization
Week 1: Getting started and introduction to data visualization
Designing Great Visualizations: https://www.tableau.com/sites/default/files/media/designing-great-visualizations.pdf
Why do we visualize quantitative data: https://www.perceptualedge.com/blog/?p=1897
Roles associated with data analytics in larger organizations: https://www.datacamp.com/community/tutorials/data-science-industry-infographic#gs.1sLCdPo
Business Analytics Defined: https://hbr.org/video/2386816175001/business-analytics-defined
What data visualization tools do /r/DataIsBeautiful OC creators use? http://www.randalolson.com/2016/03/11/what-data-visualization-tools-do-rdataisbeautiful-oc-creators-use/
Visualizations: Comparing Tableau, SPSS, R, Excel, Matlab, JS, Python, SAS: http://www.datasciencecentral.com/profiles/blogs/visualizations-comparing-tableau-spss-r-excel-matlab
Gartner Magic Quadrant: http://www.gartner.com/technology/research/methodologies/research_mq.jsp
Why data visualization isn't optional:Anscombe's Quartet: https://d18ky98rnyall9.cloudfront.net/_3cee863558a8783e73f1a7b39c67a223_Anscombe_s-Quartet.pdf?Expires=1490832000&Signature=AYaHV~4I3dJF1TNiQY~3vUdFHVlAZXAo8w-KBVbnNhcDxta-c5OcxG6RnvHKutrPtHaY63B7pXyfnLp2ql1p-GKXROA36vaDUGxdOBKANUlfeL7C7w4zTqbNEKXfXIez96tjnp8gmspkGTF1ZdhsJ30H7BjxVr1KD87crJiNDVo_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A
Week 2: Exploring and Navigating Tableau
To optimize or to satisfice in data visualization? http://dataremixed.com/2016/01/optimize-or-satisfice-in-dataviz/
Why data visualization matters? http://www.mulinblog.com/data-visualization-matters/
Week 3: Making data Connections
Connecting to Microsoft OData: https://blogs.msdn.microsoft.com/mcsuksoldev/2011/02/03/understanding-and-using-odata-1-of-4/
Connecting to OData: http://onlinehelp.tableau.com/current/pro/desktop/en-us/examples_odata.html
Web Data Connector: https://community.tableau.com/community/developers/web-data-connectors
5 things to know about Web data Connectors:https://www.theinformationlab.co.uk/2015/07/27/5-things-to-know-about-the-tableau-9-1-web-data-connector/
Web Data Connectors Advanced: http://onlinehelp.tableau.com/v9.2/public/online/windows/en-us/help.html#examples_web_data_connector.html
When to use Tableau Data Extracts:http://drawingwithnumbers.artisart.org/tde-or-live-when-to-use-tableau-data-extracts/
Tableau Data Extracts-What/Why/How?: https://www.theinformationlab.co.uk/2011/01/20/tableau-extracts-what-why-how-etc/
Tableau - Join vs Relationship: http://onlinehelp.tableau.com/current/pro/desktop/en-us/help.htm#multiple_connections.html
How to join data in tableau: http://www.tutorialgateway.org/how-to-join-data-in-tableau/
Extract your data: https://www.coursera.org/learn/data-visualization-tableau/supplement/BdMsk/tableau-extract-your-data
Week 4: Context of Data Visualization
Who , What and When of the data: http://resonate.duarte.com/#!page0
Course 2: Essential Design principles
Week 1: Effective and Ineffective visuals
Visualization is growing up: https://eagereyes.org/blog/2011/visualization-is-growing-up
Types of Visualizations: Text/Number Visualization, 2x2 Table, Heatmap, Scatter plots (continuos variables), Line Graphs(time), Bar Graph(Horiontal, vertical, stacked, waterfall graphs), and maps for spatial analysis.
Visual Analytics Best Practices: https://www.tableau.com/learn/whitepapers/tableau-visual-guidebook
Data Visualization Best Practices - Part 1: https://www.cardinalsolutions.com/blog/2016/04/data-visualization-best-practices-part-one-the-three-cardinal-rules
Data Visualization Best Practices- Part 2: https://www.cardinalsolutions.com/blog/2016/05/data-visualization-best-practices-part-two-mistakes-to-avoid
Ethics of Visualization: http://chrisalensula.org/the-ethics-of-visualization/
To optimize or satisfice in Data visualization: http://dataremixed.com/2016/01/optimize-or-satisfice-in-dataviz/
Good Data Visualization should be boring: http://www.everydayanalytics.ca/search?updated-max=2015-11-25T16:04:00-05:00&max-results=1&start=3&by-date=false
Stacked Area Graphs aren't very useful: http://www.everydayanalytics.ca/2014/08/stacked-area-graphs-are-not-your-friend.html
Week 2: Visual Perception and Cognitive load
Cognitive Design Guidelines: https://uxmag.com/articles/four-cognitive-design-guidelines-for-effective-information-dashbo
Gestalt Principles: http://vanseodesign.com/web-design/gestalt-principles-of-perception/
Tapping the power of visual perception: https://d18ky98rnyall9.cloudfront.net/_3fffb4dcdf9df7e584870027c6324dee_Stephen-Few-article.pdf?Expires=1490918400&Signature=R3Uu3StbHRHwmC7I55N20PfIxP1g-3u4cxt4T2449tL61e~-eNuOseFyZLwO~E-TN3TCGk-Nq-lF5alCpthAWMEVJOAOnpKtpA62VIbyq6rDfQ-2jZZV5lKSQHxGn0OLkK0DIQJ~j41qMj2Wms3BqStb1BocedVkq9ST75IH1iE_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A
Preattentive visual properties: https://www.interaction-design.org/literature/article/preattentive-visual-properties-and-how-to-use-them-in-information-visualization
Declutter your data visualizations: http://www.storytellingwithdata.com/blog/2016/3/1/declutter-your-data-visualizations
Week 3: Design Best practices and Exploratory Analysis
Gestalt Priinciples: Proximity, Similarity, Enclosure, Closure, Continuity, Connection
Making Data Visualizaions- Guide: https://www.slideshare.net/vis4/making-data-visualizations-a-survival-guide
History of data visualization: http://www.dashboardinsight.com/news/news-articles/the-history-of-data-visualization.aspx
Design Examples: http://www.perceptualedge.com/example5.php
The Right Colors: http://www.perceptualedge.com/example5.php
Missed Opportunities : http://euclid.psych.yorku.ca/SCS/Gallery/missed.html and http://www.datavis.ca/gallery/missed.php
Visual Business Intelligence: https://www.perceptualedge.com/blog/?p=2475
Challenger Disaster: http://www.asktog.com/books/challengerExerpt.html
Data Exploration and Visualization: https://www.tableau.com/whitepaper/visual-analysis-for-everyone
Anscombe's quartet: https://www.geogebra.org/m/tbwXxySn
Week 4: Design for Understanding
Brain Pickings https://www.brainpickings.org/index.php/tag/data-visualization/
Data Visualization for Human Perception https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/data-visualization-for-human-perception
Data Visualization Gallery https://www.census.gov/dataviz/
Flowing Data http://flowingdata.com/
National Geographic Channel: Brain Games - Fun Facts About Perception http://channel.nationalgeographic.com/brain-games/articles/brain-games-watch-this-perception-facts/
Junk Charts http://junkcharts.typepad.com/junk_charts/
Taking Data Visualization From Eye Candy to Efficiency http://news.nationalgeographic.com/2015/09/150922-data-points-visualization-eye-candy-efficiency/
The Surprising History of the Infographic http://www.smithsonianmag.com/history/surprising-history-infographic-180959563/?no-ist UX Magazine (I’ve written a series of articles about data visualization for the publication which can be found here): https://uxmag.com/contributors/hunter-whitney
Course 3: Visual Analytics with Tableau
Charting Types: Bar Graphs, Line Graphs, Pie Charts, Maps, Scatter Plots, Gantt Charts, Bubble Charts, Histograms, Bulet Charts, Heat Maps, Highlight Tables, Treemaps, and Box-Plots
Dates, Table Calculations and Mapping
Course 4: Creating Dashboards and storytelling using Tableau
A Message From Psychologists to Economists: Mere Predictability Doesn’t Matter Like it Should (Without a Good Story Appended to it), http://pages.ucsd.edu/~aronatas/project/academic/dawes%20on%20narratives.pdf
Luhn, Matthew, How to Put More Emotion in Storytelling: Digital Advertisers Have Forgotten How to Make People Feel Something, Advertising Age, 2016 (http://adage.com/article/digitalnext/put-emotion-storytelling/304463/)
Data Storytelling: Using Visualization to Share the Human Impact of Numbers:https://www.tableau.com/learn/whitepapers/data-storytelling-using-visualization-share-human-impact-numbers
How to tell a story with data :https://hbr.org/2013/04/how-to-tell-a-story-with-data
A Guide to Creating Dashboards People Love to Use, http://www.cpoc.org/assets/Data/guide_to_dashboard_design1.pdf
Top 5 Best Practices for creating effective dashboards, https://www.tableau.com/sites/default/files/whitepapers/dashboards-for-financial-services.pdf
Dashboard Design Principles, http://www.bethkanter.org/dashboard-design/
5 Principles of Great Dashboard Design, http://blog.sumall.com/journal/5-principles-great-dashboard-design.html
5 Best Practices for Telling Great Stories with Data. https://www.tableau.com/sites/default/files/whitepapers/whitepaper_best-practices_telling_great_stories.pdf
Nuzzo, Regina, How scientists fool themselves – and how they can stop: Nature News and Comment, Nature 526, 182–185 2015 (http://www.nature.com/news/how-scientists-fool-themselves-and-how-they-can-stop-1.18517)
Paul, Annie M., Your Brain on Fiction, The New York Times Sunday Review Opinion 2012 (http://www.nytimes.com/2012/03/18/opinion/sunday/the-neuroscience-of-your-brain-on-fiction.html)
McMinn, Randa, Merlob, Aaron, Where Data and Story Meet: The Modern Marketer and Modern Data Scientist The CMO Club (Hunter Whitney is one of the interviewees for this white paper.) (http://thecmoclub.com/wp-content/uploads/2017/01/Where_Data_and_Story_Meet.pdf)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent