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Python Data Science Toolbox (Part 2)

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Course Report - Python Data Science Toolbox (Part 2)

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

You will learn Python data science skills through the second Python Data Science Toolbox course. Your first lesson will be about iterators. These are objects that you may have seen within the context of loops. Next you'll learn about list comprehensions. These are very useful tools for Python data scientists. A case study will help you apply the techniques learned in this course.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 20 Percentile

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Parameters

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Hands on training

This course stands out as one of the top 20 percentile options in Python Programming for Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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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

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Hugo Bowne-Anderson

Data Scientist at DataCamp

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing am...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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