Tableau 2025 A-Z: Hands-On Tableau Training for Data Science
Tableau 2025 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!
Product Brand: Udemy
4.6
Udemy Coupon Code for Tableau 2025 A-Z: Hands-On Tableau Training for Data Science Course. 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
Tableau Course Overview
Tableau 2025 A-Z: Hands-On Tableau Training for Data Science
Learn data visualization through Tableau and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
You’ll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly
- Connect Tableau to a Variety of Datasets
- Analyze, Blend, Join, and Calculate Data
- Visualize Data in the Form of Various Charts, Plots, and Maps
Convert Raw Data Into Compelling Data Visualizations Using Tableau
Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.
Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you’re learning.
Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.
Contents and Overview
This 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.
You’ll be fully prepared to collect, examine, and present data for any purpose, whether you’re working with scientific data or you want to make forecasts about buying trends to increase profits.
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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Tableau 2025 Course Reviews
Everything You Need to Know About Tableau 2025 A-Z: Hands-On Tableau Training for Data Science
This course is a comprehensive and well-structured introduction to Tableau 2025 A-Z: Hands-On Tableau Training for Data Science. The instructor, Kirill Eremenko, is a leading expert in the field with a wealth of experience in Business to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Tableau. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Tableau 2025 A-Z: Hands-On Tableau Training for Data Science. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
