Python Data Science Toolbox (Part 2)
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
Careervira Take
DataCamp offers this intermediate-level certification program to help learners build Python data science skills. It helps freshers and professionals to advance their career trajectories. It helps them gain industry-relevant skills such as Python scripting, Python programming, Data Science and Data Visualization. They learn about iterators & list comprehensions which are extremely handy tools for all data scientists working in Python. The curriculum is curated to industry standards. The prerequisite to enroll in the course is first to know python and course completion of Python Data Science Toolbox (Part 1). The course USPs are hands-on training and international faculty.
Course Credibility
Pedagogy
Hands-on training
Career impact
Pricing
Assessment
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
In this second Python Data Science Toolbox course, you'll continue to build your Python data science skills
First, you'll learn about iterators, objects you have already encountered in the context of for loops
You'll then learn about list comprehensions, which are extremely handy tools for all data scientists working in Python
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
Course Instructors
Hugo Bowne-Anderson
Data Scientist at DataCamp
Course Reviews
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