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Introduction to Python in Power BI 

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Introduction to Python in Power BI
 at 
DataCamp 
Overview

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients

Duration

3 hours

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Official Website

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Credential

Certificate

Introduction to Python in Power BI
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty

Introduction to Python in Power BI
 at 
DataCamp 
Highlights

  • Learn from 9 Videos and 25 Exercises
Details Icon

Introduction to Python in Power BI
 at 
DataCamp 
Course details

Skills you will learn
More about this course
  • 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

Faculty Icon

Introduction to Python in Power BI
 at 
DataCamp 
Faculty details

Jacob Marquez
Jacob H. Marquez is an insatiable learner and lifelong builder. He is a data scientist by day, answering audacious questions to support customer experience and company goals.

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Introduction to Python in Power BI
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