Tableau A-Z: Hands-On Tableau Training for Data Science
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!
Created by Kirill Eremenko, SuperDataScience Team, Ligency Team | 8.5 hours on-demand video course
This Tableau A-Z: Hands-On Tableau Training for Data Science course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.
To be able to find trends in your data and make accurate forecasts, you’ll learn how to work with data extracts and timeseries. Also, to make data easier to digest, you’ll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.
In order to begin visualizing data, you’ll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects. You’ll even learn when it’s best to join or blend data in order to work with and present information from multiple sources.
Finally, you’ll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines. By the time you complete this course, you’ll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.
What you’ll 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)
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Who this course is for:
- 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
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