Hands On Training

Unit Testing for Data Science in Python

Name: Unit Testing for Data Science in Python
Brand: Careervira
Price: 73 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

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Course Report

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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

Unit testing is a must for every data science project. Unit testing has many benefits. It can reduce development and maintenance times, improve documentation, and increase trust from end-users. It decreases downtime for productive systems. Nearly all companies use unit testing as a standard skill. This course will teach you how to use Python's most popular testing framework, pytest. This course will show you how to create a data science project testing suite. This course will show you how to create unit tests for data models, preprocessors and visualizations. It also teaches you how to interpret the results. Advanced concepts such as TDD, test organization and fixtures, mocking, and how to properly test data science projects will be covered.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Course to be completed : Intermediate Python

What You Will Learn

Learn how to write unit tests for your Data Science projects in Python using pytest

This course teaches unit testing in Python using the most popular testing framework pytest

By the end of this course, you will have written a complete test suite for a data science project

You will also learn advanced concepts like TDD, test organization, fixtures and mocking so that you can test your own data science projects properly

Course Content

Expand all sections

Module 1: Unit testing basics

Module 2: Intermediate unit testing

Module 3: Test Organization and Execution

Module 4: Testing Models, Plots and Much More

Course Instructors

Dibya Chakravorty

Senior Python Developer, TECH-5

Dibya is currently developing a test automation framework for a leading German car manufacturer. He thinks that high-quality, well-tested code is far more valuable than code that only seems to work. ...

Course Reviews

Average Rating Based on 3 reviews

5.0

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