Python for Data Analytics

Python for Data Analytics

Video Training

According to the latest O’Reilly Data Science Salary Survey, Python is one of the tools that contribute most to a data scientist's salary. If you want to take your Python skills to the next level and perform data analysis, this practical, hands-on learning path will show you how to do vital tasks such as: choosing the correct analytic model for your analytics job; parsing, cleaning and analyzing data using the Python Pandas library; and basic techniques to visualize and present complex data with confidence.

Below are the video training courses included in this Learning Path.

1

Data Exploration in Python

Presented by Allen Downey 3 hours 30 minutes

Learn the common pitfalls of exploratory data analysis so you can manage, analyze, and present data with confidence. This video covers a range of topics, from the ETL process and data validation to statistical inference and hypothesis testing.

2

Data Visualization Basics with Python

Presented by Randy Olson 1 hour

This video covers the basics of data visualization, including types of charts, common pitfalls and good practices in data visualization. You’ll also learn how to use matplotlib in the Jupyter Notebook.

3

Data Wrangling and Analysis with Python

Presented by Katharine Jarmul 3 hours 17 minutes

In this video, you’ll learn the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data in the Python Pandas software library.