TOPICS

About The Course
LearnChase’s Data Visualization course will cover different concepts of data visualization like conditional formatting, scripting, linking charts, dashboard integration, Tableau integration with R,etc. You will also get to implement one project towards the end of the course.
Course Objectives
After the completion of Data Visualization with Tableau course at LearnChase, you will be able to:
1. Understand the need for visualization
2. Make advance insightful visuals
3. Perform scripting
4. Create dashboards
5. Connect with multiple sources
6. Integrate tableau with R
Who should go for this course?
The following professionals can go for this course :

1. Data Scientists
2. Business Analysts
3. Statisticians and Analysts
4. Project Managers
This course is a foundation to anyone who aspires to get into analytics and present it in a more sensible manner.
Pre-requisites
There are no prerequisites for this course. Knowledge of R language would be an advantage.
Project Work
Towards the end of the course, you would be asked to create a dashboard on a dataset of your choice after approval from the trainer. The dashboard should have all the functionality and should be self-explanatory.‎ The dashboard should be comprehensive and analytical and specifically cater to the audience you choose as a part of the project.
Why learn Data Visualization with Tableau?
Data Visualization using Tableau will allow one to gain an edge over the other analysts and let you present the data in a much better and insightful manner. It would be easier for the learners to immediately implement it in their workplace and create a real-time dashboard for their management using one of the most sought-after tools.

1. Introduction to Data Visualization with Tableau
Learning Objectives – In this module, you will learn about Data Visualization and Introduction to Tableau.

Topics – Why is Data Visualization needed, How to make sense out of numbers, Uses of Tableau, Installation, Architecture, and Features of Tableau.
2. Basic Visualization Design
Learning Objectives – In this module, you will learn to connect to the databases and make basic charts and graphs.

Topics – Exporting Data, Connecting Sheets, Loading into Tableau visualization engine. Basic visualizations like Text Tables, Bar, Line, Pie charts, basic maps and interpreting the same.
3. Visualizations Deep Dive
Learning Objectives – In this module, you will learn to make Advance Charts and Graphs.

Topics – Highlight Tables, Heat Maps, Circle Plots, Side by Side Bars, Continues Lines, Scatter Plots, Dual Charts, Area Charts, Tree Maps.
4. Data Organization and Scripting
Learning Objectives – In this module, you will learn scripting functionality and organizing data for effective results.

Topics – Calculated Metrics, Sorting, Filtering, Totals and Sub Totals, Various Aggregated Measures, Percentages, Data Spotlighting, Summary Card. Date and time functions, String Functions and logical functions, Data Items, Data behind your views, Hierarchies, Sets, Groups, Bins.
5. The World is Your Visualization
Learning Objectives – In this module, you will learn about more advanced visualizations for various analytical requirements

Topics – Dual Charts, Dual Axis, Combination charts, Gantt Charts for activity tracking, Motion Charts, Box and Whisker Plots, Reference Lines, Reference Bands, Pareto Analysis, Water Fall Charts, Market Basket Analysis.
6. Playing with Time Dimension
Learning Objectives – In this module, you will learn to create Time based calculations.

Topics – Quick Table Calculations, Custom Table Calculations, YTD, Parallel Period, Moving Averages, Running totals, Window Averages, Trend Lines and Predictive Models.
7. What is Your Location?
Learning Objectives – In this module, you will learn about location analytics capabilities to put geographic And other spatial context to your analysis.

Topics – Filled Maps, Symbol Maps, Geo Coding, Online Maps, Sorting in Maps, Background Maps.
8. Incremental Loading and Blending
Learning Objectives – In this module, you will be learn how to blend and arrange your data from multiple source systems for effective analysis.

Topics – Data Blending from multiple source systems, Custom SQL Queries, Creating Incremental Loads, Creating File Extractions, Parameters.
9. Integrating Tableau with R and Hadoop
Learning Objectives – In this module, you will learn Integration of Tableau with R and Hadoop, Statistical Analytics, and social media analytics.

Topics – Connect to Hadoop Systems from Tableau, Integrating Tableau with R, Connecting to R Serve Parameterized R calls, Mean, Median, Mode, Standard Deviation, Forecasting Models, Adding YouTube videos.
10. Sharing Insights with Enterprise Dashboards
Learning Objectives – In this module, you will learn how to work in real time environment for Tableau Projects. One mini project will be provided with business scenarios. Understand the requirement and creating various dashboards, story boards, deploying your dashboards for the project.

Topics – Mini end-end project with Business case study. Interactive Dashboards, Action Filters, Story Boards, Best Practices, Cover Pages, Annotations, Tool Tips, keyboard short cuts, Legends, Sharing your work, Deploying to server, Tableau Online, Tableau Reader, Tableau Public.