Software Engineering for Data Scientists in Python

via

DataCamp

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

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

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Shell

Python Data Science Toolbox (Part 1)

What You Will Learn

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

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

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

Course Content

Expand all sections

Module 1: Software Engineering Data Science

Module 2: Writing a Python Module

Module 3: Utilizing Classes

Module 4: Maintainability

Course Instructors

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...