Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data—from ingest, to querying, to extracting and visualizing.
Click here to enroll in Python for Data Science Tips, Tricks, & Techniques, the best course out there for beginners by the top instructors of LinkedIn Learning.
This course highlights twelve tips and tricks you can put into practice to improve your skills in Python. These techniques are readily applied and in common data management tasks and include the following: how to ingest data using CSV, JSON, and TXT files; how to explore data using libraries like Pandas; how to organize and join data using DataFrames; how to create charts and graphic representations of data using ggplot in Python; and more.
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
- Showcase on your LinkedIn profile under “Licenses and Certificate” section
- Download or print out as PDF to share with others
- Share as image online to demonstrate your skill
Start your free trial month at LinkedIn Learning (if you haven’t already), and enroll in Python for Data Science Tips, Tricks, & Techniques.