Tableau 2018 Essential Training

Tableau is the widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories. Tableau 2018: Essential Training explains everything you need to know to analyze and display data using Tableau Desktop—and make better, more data-driven decisions for your company. After completing the course, you'll be able to install Tableau, connect to data sources, summarize data, and create, manipulate, and share data visualizations, including highlight tables, charts, scatter plots, histograms, maps, dashboards, and more.
 
Topics include:
Introduction
Managing data sources and visualizations
Managing Tableau worksheets and workbooks
Creating custom calculations and fields
Analyzing data using statistical tools
Sorting and filtering Tableau data
Defining groups and sets
Creating and pivoting crosstabs
Formatting Tableau visualizations
Creating basic charts
Annotating and formatting charts
Mapping geographic data
Creating dashboard and actions
 
DETAIL COURSE OUTLINE:
Discover how to visualize your data using Tableau Desktop—and make better, more data-driven decisions
 
Introduction
Welcome
What you need to know
 
Introduction to Tableau
Download Tableau
Install Tableau Drivers
Tableau File Types
Help in Tableau
What's new in Tableau 2018
 
Managing data sources and visualizations
Connect a Data Source
Join related Sources
Clean up source data
Visualization using Show me
Change the Order of the field in a visualization
Change the Summary Operation
Split Text into multiple columns
Present Data using Storyline
 
Managing Tableau worksheets and workbooks
Display Data underlying a workbook
Add, duplicate and rename worksheets
Reorder, Clear, and Delete Worksheet
Change a worksheet Tab color
Show or hide worksheet element
Save Changes
Create a packaged workbook
Export to CSV File
 
Creating custom calculations and fields
Tableau operators and build-in functions
Create a calculated Field
Create a Calculated Field on a shelf
Add a Table Calculation
Use Level-of-detail expression
Create Calculations in Dialog boxes
 
Analyzing data using statistical tools
Calculate averages, medians, minimums and maximums
Count Occurrences and distinct items
Display the Summary Card
Calculate percentage table total
Forecast future values
 
Sorting and filtering Tableau data
Sort based on a field’s values
Combine fields to sort by more than one criteria
Create a selection filter
Create a wildcard filter
Creating a condition filter
Creating a top filter
Edit, clear, and delete filters
Filter data using parameters
Edit and delete parameters
 
Defining groups and sets
Define a group
Define a group for “other” values
Find members of a group
Edit and delete groups
Define a set
Create summaries using sets
Combine sets
Edit and delete sets
 
Creating and pivoting crosstabs
Create a crosstab
Unpivot a crosstab
Add totals and subtotals to a crosstab
 
 
Formatting Tableau visualizations
Change the visual summary type
Change the appearance of your data
Resize a visualization
Display a visualization in Presentation mode
Create a highlight table
Display a viz in a tooltip
 
Creating basic charts
Create column and stacked column charts
Create line charts and area fill charts
Create pie charts
Create scatter plots
Identify data clusters
Create histograms
Summarize data using a smart histogram
Create a tree map
 
Annotating and formatting charts
Add an annotation to a chart
Format chart elements
Change the color sequence in charts
Add a trend line to a chart
Add reference lines, distributions, and boxes
 
Mapping geographic data
Create a basic map
Set map options
Enhance map analysis using distance measurement tools
Disable pan and zoom in maps
Define custom regions
 
Creating dashboard and actions
Create a dashboard
Arrange and format dashboard elements
Define a filter action
Define a highlight action
Define a URL action
 
Conclusion
 
Lesson Outcomes
On completion of this course you will develop an ability to independently analyze and treat data, plan and carry out new research work based on your research interest. The course encompasses most of the major type of research techniques employed in academic and professional research in most comprehensive, in-depth and stepwise manner.
 
Pre-requisite
A love for data analysis and statistics, research aptitude and motivation to do great research work.
 
Who this course is for:
Professionals looking for a career in analytics in corporate sector
Faculty members looking to master Tableau and advance their data analysis skills
 
Number of days:
Introduction and intermediate: 5 Days
Advanced: 3 extra days