Software Engineering for Data Scientists in Python

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5

(3)

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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

Data scientists can benefit greatly from learning concepts from software engineering. This will enable them to reuse code more efficiently and share it easily with others. This course will cover modularity, documentation, as well as automated testing. These concepts will help you solve Data Science problems quicker and more efficiently. You'll also be able use your skills as a software engineer to create your Python package for performing text analytics.

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

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Python Data Science Toolbox (Part 1)

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Introduction to Shell

What You Will Learn

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Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably

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In this course, you'll learn all about the important ideas of modularity, documentation, & automated testing, and you'll see how they can help you solve Data Science problems quicker and in a way that will make future you happy

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You'll even get to use your acquired software engineering chops to write your very own Python package for performing text analytics

Course Instructors

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Adam Spannbauer

Machine Learning Engineer at Eastman

Adam is a machine learning engineer at Eastman Chemical Company. His work history has had a focus on NLP projects using open source data science tools such as Python, R, and Shiny. He stays active in...

Course Reviews

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