Data Visualization

learning Tableau:

1. Introduction to Tableau: Understanding the interface, main sections, and purpose of Tableau.

2. Connecting to Data: Learning how to connect Tableau to various types of data sources.

3. Creating Basic Visualizations: Understanding how to create basic charts and graphs.

4. Data Organization and Scripting: Learning how to organize and manipulate data in Tableau using calculated fields and parameters.

5. Creating Dashboards and Stories: Combining multiple visualizations into dashboards and using stories to present data.

6. Advanced Chart Types: Learning how to create more complex visualizations such as heat maps, treemaps, and bubble charts.

7. Performing Data Analysis: Using statistical tools in Tableau for forecasting and trend analyses.

8. Publishing and Sharing: Learning how to publish dashboards and share insights with others.

9. Best Practices in Data Visualization: Understanding the principles of effective data visualization and how to apply them in Tableau.

10. Tableau for Big Data: Overview of how Tableau can be used for analyzing large datasets.

Sure, here are some topics you need to master for using Power BI:

1. Understanding Power BI Concepts1: This includes understanding Microsoft Power BI desktop layouts, BI reports, dashboards, and Power BI DAX commands and functions1.

2. Data Modeling2: This is the principle of any data analysis system. Without proper data modeling, your Power BI report will become slow, hard to maintain, not flexible to changes, and results in failure of the BI project2.

3. Data Transformation and ETL2: ETL stands for Extract, Transform and Load. It means extracting data from the source system, transforming it to the desired shape, and loading it into the destination2.

4. Power Query (M)3: This is a data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources3.

5. DAX3: This is a formula language for Power BI that allows you to create custom calculations3.

6. Data Visualization3: This is a key skill for presenting your data in a way that’s easy to understand3.

7. Relational Databases3: Understanding how relational databases work will help you when you’re pulling in data from different sources3.

8. SQL3: Many data sources that you’ll connect with are SQL databases, so understanding SQL can be very helpful3.

9. Real Life Case Studies and Projects2: Understanding how things are done in the real world helps you to apply what you learn2.

10. Power BI Mobile Applications3: Discover the capabilities of Power BI mobile applications3.

Remember, mastering Power BI is not a goal, it is a journey. Being in touch with the Power BI community helps you to stay on the right path2. Happy learning! 😊