Tableau 2024 A-Z: Hands-On Tableau Training for Data Science

Learn Tableau for data science step by step. Real-life data analytics exercises & quizzes included. Learn by doing!

Created by: Kirill Eremenko
DS & AI Instructor

Created by: SuperDataScience Team
Helping Data Scientists Succeed

Created by: Ligency Team
Helping Data Scientists Succeed

What Will I Learn?

• Install Tableau Desktop
• Connect Tableau to various Datasets: Excel and CSV files
• Create Barcharts
• Create Area Charts
• Create Maps
• Create Scatterplots
• Create Piecharts
• Create Treemaps
• Create Interactive Dashboards
• Create Storylines
• Understand Types of Joins and how they work
• Work with Data Blending in Tableau
• Create Table Calculations
• Work with Parameters
• Create Dual Axis Charts
• Create Calculated Fields
• Create Calculated Fields in a Blend
• Export Results from Tableau into Powerpoint, Word, and other software
• Work with Timeseries Data (two methods)
• Creating Data Extracts in Tableau
• Understand Aggregation, Granularity, and Level of Detail
• Adding Filters and Quick Filters
• Create Data Hierarchies
• Adding Actions to Dashboards (filters & highlighting)
• Assigning Geographical Roles to Data Elements
• Advanced Data Preparation (including latest updates in Tableau)

Requirements

• Basic knowledge of computers

Target audience

• You should take this course if want to learn Tableau completely from scratch
• You should take this course if you know some Tableau skills but want to get better
• You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau