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Python Data Science Toolbox (Part 2)

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Certification

Python Data Science Toolbox (Part 2)

Learn more about Data Science iterators and List comprehensions to continue your Data Science education.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

Python ProgrammingData ScienceData Analysis

Learning Goals

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 Content

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Prerequisites/Requirements

Course to be completed : Python Data Science Toolbox (Part 1)

Instructors

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Hugo Bowne-Anderson

Data Scientist at DataCamp

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Course Overview

Case Studies, Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

Case-Based Learning

International faculty

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Course Cover

₹1,093

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