As a Data Science professional, you should know at least one data visualization tool. There are many more data visualization tools besides Tableau and Power BI, but if you know how to work with Tableau or Power BI, you can easily work with their alternatives as well (including the in-house visualization tools of companies). So, in this article, I’ll take you through a step-by-step roadmap to learn Tableau and Power BI with learning resources.
Roadmap to Learn Tableau and Power BI
Here’s a step-by-step roadmap to learn Tableau and Power BI for Data Science:
- Understand Data Visualization Fundamentals
- Get Started with Tableau/Power BI
- Learn Tableau/Power BI in detail
- Learn Advanced Concepts
- Work on Projects
Let’s go through this roadmap to learn Tableau and Power BI in detail.
Understand Data Visualization Fundamentals
The first step is to understand the fundamental concepts of data visualization. Start by exploring the essential principles and techniques that transform raw data into meaningful visual representations.
Below are some resources you can follow to understand the fundamentals of data visualization:
- Fundamentals of Data Visualization by Claus O. Wilke
- Data Visualization Rules
- Storytelling with data
Getting Started with Tableau/Power BI
The next step is to choose between Tableau or Power BI. Both tools are equally valuable. You can go with any of these to get started. If you ask me, I’ll recommend getting started with Tableau as it is a more complex tool and you can learn and work with any tool by yourself if you know a complex tool like Tableau.
Below are the resources you can follow to get started with Tableau/Power BI:
Learn Tableau/Power BI in Detail
The next step is to learn Tableau and Power BI in detail. In this step, you have to learn the functionalities of Tableau/Power BI for which these tools are used in the industry.
Below are the resources you can follow to learn Tableau/Power BI in detail:
Learn Advanced Concepts
There are some advanced concepts where both these tools are different from each other. So, the next step is to learn the advanced concepts of working with these tools.
Below are the resources you can follow to learn the advanced concepts of working with Tableau/Power BI:
- Tableau Prep
- Tableau Server
- Tableau Integration with Python and R
- Power BI Service
- Advanced DAX in Power BI
- Power BI Integration with Python and R
Work on Projects
The next step is to work on projects to improve your skills in working with real-time problems using Tableau/Power BI. There are not many resources you can follow that can help you work on projects. But you can take inspiration from the work of other developers in the community. You can find some inspiration to work on projects here:
Summary
So, follow these steps to learn Tableau/Power BI for Data Science:
- Understand Data Visualization Fundamentals
- Get Started with Tableau/Power BI
- Learn Tableau/Power BI in detail
- Learn Advanced Concepts
- Work on Projects
I hope you liked this article on a roadmap to learn Tableau and Power BI with learning resources. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.
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