Tableau Certification (Data Analysis) - eLearning
450,00 EUR
- 15 hours
The Tableau Certification course teaches you how to build visualizations, organize data, and design charts and dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of Data Visualization, different combo charts, and stories, working with filters, parameters, and sets, and building interactive dashboards.
Course timeline
Getting Started with Tabeau
Lesson 01
- Getting Started with Excel
- Download and Install Tableau Public
- Load Data from Excel
- User Interface of Tableau
- Key Takeaways
Core Tableau in Topics
Lesson 02
- Core Topics in Tableau
- Dimensions vs. Measures
- Discrete vs Continuous
- Application of Discrete and Continuous Fields
- Aggregation in Tableau
- Key Takeaways
Creating Charts in Tableau
Lesson 03
- Creating Charts in Tableau
- Bar Chart
- Stacked Bar Chart
- Line Chart
- Scatter Plot
- Dual-Axis Charts
- Combined-Axis Charts
- Funnel Chart
- Cross Tabs
- Highlight Tables
- Maps Measure Names and Measure Values
- Key Takeaways
- Hands-on project: Customer Analysis
Working with Metadata
Lesson 04
- Working with Metadata
- Data Types
- Rename, Hide, Unhide and Sort Columns
- Default Properties of Fields
- Key Takeaways
Filters in Tableau
Lesson 05
- Filters in Tableau
- Dimension Filter
- Date Filter
- Measure Filter
- Visual filter
- Interactive Filter
- Data Source Filter
- Context Filter
- Key Takeaways
- Hands-on project Product Analysis
Applying Analytics to the worksheet
Lesson 06
- Applying Analytics to the Worksheet
- Sets
- Parameters Group
- Calculated Fields
- Date Functions
- Text Functions
- Bins and Histogram
- Sort
- Reference and Trend Lines
- Table Calculations
- Pareto Chart
- Waterfall Chart
- Key Takeaways
Dashboard in Tableau
Lesson 07
- Dashboards in Tableau
- Dashboard Working with Layout
- Objects in Dashboard
- Making Dashboards Interactive
- Actions in Dashboard
- Best Practices for Dashboard Creation
- Dashboard for Mobile
- Story
- Case Study
- Key Takeaways
- Hands-on project Sales Dashboard
Modifications to Data Connections
Lesson 08
- Modifications to Data Connections
- Edit Data Source
- Unions
- Joins
- Data blending
- Key Takeaways
Introduction to Level of Details in Tableau (LODS)
Lesson 09
- Level of Details
- Introduction to Level of Detail (LODs)
- Fixed LOD
- Include LOD
- Exclude LOD
- Publish to Tableau Public
- Key Takeaways
Comparative Study of Countries
End Project 01
Build a dashboard to do a comparative study on various parameters of different countries, using the sample insurance and world development indicators dataset.
Sales Performance Analysis
End Project 02
Build a dashboard to present monthly sales performance by product segment and product category for the purposes of identifying the areas that have met or exceeded their sales targets.
Costumer Analysis
End Project 03
Build a dashboard that presents customer statistics, ranking them by profit ratio and sales. Also, include statistics regarding profit performance by region.
Product Analysis
End Project 04
Build a dashboard that presents sales by product category over time, with the ability to drill down to the product and regional level to check if the products are correctly priced.
Sales Dashboard
End Project 05
Build a dashboard that presents metrics about products (e.g. sales, profits, profit ratio) and the trends of statistics over a given period of time, filtering down to a number of geographic regions.
Learning Outcomes
At the end of this Tableau Certification eLearning Course, you will be able to:
Expert on techniques
Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
Metadata & Usage
Understand metadata and its usage
Creating & using parameters
Work with Filter, Parameters, and Sets Master special field types and Tableau-generated fields and the process of creating and using parameters.
Data analysis tools
Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
Concepts regarding Tableau
Master the concepts of data blending, create data extracts and organize and format data
Arithmetic & diverse calculation methods
Master arithmetic, logical, table, and LOD calculations
Who Should Enroll in This Program?
There are no prerequisites for taking this training
Analytics professonal
Data Scientist
Data Analysts
Business Intelligent
Project Managers
IT developers and testers
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