Python Data Science Toolbox (Part 2)
Course Report
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Course to be completed : Python Data Science Toolbox (Part 1)
What You Will Learn
First, you'll learn about iterators, objects you have already encountered in the context of for loops
In this second Python Data Science Toolbox course, you'll continue to build your Python data science skills
You'll end the course by working through a case study in which you'll apply all the techniques you learned in both parts of this course
You'll then learn about list comprehensions, which are extremely handy tools for all data scientists working in Python
Course Instructors
Hugo Bowne-Anderson
Data Scientist at DataCamp