Unit Testing for Data Science in Python
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
Careervira Take
DataCamp offers this intermediate-level certification program to help professionals learn unit testing in Python using the most popular testing framework, pytest. It helps freshers and professionals to advance their career trajectories. Further, it helps gain Unit Testing, Data Science and Python skills. Also, they learn advanced concepts like TDD, test organization, fixtures, and mocking to test data science projects properly. The curriculum is curated to industry standards, and the prerequisite to enroll in this course is to complete an Intermediate Python course. The course USPs are hands-on training and international faculty.
Course Credibility
Pedagogy
Hands-on training
Career impact
Pricing
Assessment
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 Instructors
Course Reviews
Average Rating Based on 3 reviews
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