Tableau 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!

4.60 (104279 reviews)

Udemy

platform

English

language

Data & Analytics

What you will 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)

Course Gallery

Tableau A-Z: Hands-On Tableau Training for Data Science – Screenshot 1 — Screenshot 1 – Tableau A-Z: Hands-On Tableau Training for Data Science

Tableau A-Z: Hands-On Tableau Training for Data Science – Screenshot 2 — Screenshot 2 – Tableau A-Z: Hands-On Tableau Training for Data Science

Tableau A-Z: Hands-On Tableau Training for Data Science – Screenshot 3 — Screenshot 3 – Tableau A-Z: Hands-On Tableau Training for Data Science

Tableau A-Z: Hands-On Tableau Training for Data Science – Screenshot 4 — Screenshot 4 – Tableau A-Z: Hands-On Tableau Training for Data Science

Loading charts...

Comidoc Review

Our Verdict

Rated 4.62 out of 5 with over 400,000 subscribers, this hands-on Tableau course teaches data science step by step. It caters well to beginners, offering a solid understanding of the fundamentals and various types of charts. Although some areas lack clear instructions or challenge you enough to become a certified professional, the engaging teaching style, updated content, and valuable real-life examples make this course an excellent starting point for diving into data visualization.

What We Liked

Covers all the basics of Tableau in a no-nonsense, effective manner with clear explanations and engaging teaching style.
Hands-on exercises and real-world examples provide valuable practical experience for data visualization beginners.
Organic and well-explained lessons allow learners to grasp complex topics easily, making them feel capable of becoming technical data analysts.
Updated course content with the latest Tableau features ensures students stay current on data preparation techniques.

Potential Drawbacks

Section 9 might be unclear for some students as it lacks detailed explanations compared to other sections.
Case studies and challenges are missing from most sections, which would help learners understand the final goal in creating visualizations.
A few lessons show actions too quickly for learners to fully comprehend particular selections in certain exercises.