

Introduction to Python in Power BI
- Offered byDataCamp
Introduction to Python in Power BI at DataCamp Overview
Duration | 3 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Official Website | Explore Free Course |
Credential | Certificate |
Introduction to Python in Power BI at DataCamp Highlights
- Learn from 9 Videos and 25 Exercises
Introduction to Python in Power BI at DataCamp Course details
- In this introduction to Python in Power BI course, you’ll use data from an overfishing study and an online retailer to learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients
- Specifically for building custom Python-based visuals, you will be utilizing the Seaborn package
- By the end, you should feel a little more comfortable using Python in (and outside of) Power BI
- This course will demonstrate that, by using the two together, you can leverage the benefits of each, choosing the best one for the task at hand
Introduction to Python in Power BI at DataCamp Curriculum
Getting Started with Python in Power BI
Learning the basics of Python in Power BI
Pros and cons of Python in Power BI
Set up, import, and transform data
Set up Power BI for Python
Power BI: import, join, and filter
Python: import, join, and filter
Missing Data and Imputation
Missing data and imputation
Data missing not at random
Finding missing data
Finding missing data in Power BI
Now, finding missing data with Python
Addressing missing values with imputation
Visualizations with Seaborn in Power BI
Building visualizations with Seaborn
Ordering the steps for a ridge plot
Building Python-based visualizations
Generate a joint plot
Produce a pair plot
Reconstruct a ridge plot
Correlation Coefficients and Heatmaps
Calculating correlation coefficients
Classifying correlation
How to calculate in Power BI and Python
Correlation coefficient in Power BI
Correlation coefficient in Python
Correlation heatmap with seaborn
Wrap Up Video