Python Data Science Toolbox (Part 1)

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5

(3)

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Course Features

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Duration

3 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

3 hours

Course Description

It's time to learn Python. There are many great functions in Python. There are many more functions in the library ecosystem. Data scientists need to be able create their own functions in order to solve data-driven problems. This course will teach you how to create functions using Python Data Science Toolbox. This course will teach you how to create custom functions with multiple parameters, multiple return values, default arguments and variable-length arguments. This course will teach you how to use Python scoping and handle errors when writing functions. You will be able to use your new skills in each chapter to create functions that analyze Twitter DataFrames.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Course to be completed : Intermediate Python

What You Will Learn

You will learn the art of function writing in this first Python Data Science Toolbox course

You'll come out of this course being able to write your very own custom functions, complete with multiple parameters and multiple return values, along with default arguments and variable-length arguments

You'll gain insight into scoping in Python and be able to write lambda functions and handle errors in your function writing practice

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

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