There are a few ways in which you can obtain and install Microsoft Power BI Desktop on your computer. Fortunately for you, in this tutorial, you’ll use Microsoft Power BI Desktop, which is completely free of charge, doesn’t require a Microsoft account, and can work offline just like a traditional office suite. Microsoft Power BI is a collection of various tools and services, some of which require a Microsoft account, a subscription plan, and an Internet connection.

Remove ads Install Microsoft Power BI Desktop Click the link below to download a sample dataset and the Python scripts that you’ll be using in this tutorial: While Power BI has potential across the world of business, in this tutorial, you’ll focus on sales data. But don’t worry if you don’t know them, as you’ll learn everything you need on the job. Additionally, familiarity with the pandas and Matplotlib libraries would be a plus. However, it would help if you knew some Python basics and SQL to benefit fully from this tutorial.

Whether you’re new to Power BI, Python, or both, you’ll learn how to use them together.

Understand the limitations of using Python in Power BI.

Make custom visualizations using Python.

Use Python to import and transform data.

Install and configure the Python and Power BI environment.

In addition, you’ll be able to bring complex algorithms shipped with Python’s numerous data science and machine learning libraries to Power BI.

By combining these two technologies, you can extend Power BI’s data ingestion, transformation, augmentation, and visualization capabilities. Microsoft Power BI is an interactive data analysis and visualization tool that’s used for business intelligence (BI) and that you can now script with Python.

Microsoft power tools for data analysis