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Unit Testing for Data Science in Python

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$12

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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

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.

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.

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Course Credibility

DataCamp is one of the best e-learning websites to learn to program in data analytics and science. It excels ...
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Pedagogy

This Datacamp short-duration course utilizes a self-paced online learning approach that facilitates working p...
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Hands-on training

This Datacamp short-duration course utilizes a self-paced online learning approach that facilitates working p...
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Career impact

This self-paced course offers no job assistance, placement guarantee, or internship opportunities. It helps t...
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Pricing

The intermediate-level course is available on a subscription basis and is priced for ₹927, which is quite aff...
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Assessment

Assessments are a crucial part of this self-paced short-duration program. It is a sort of theoretical trainin...

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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Course to be completed : Intermediate Python

What You Will Learn

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

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

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

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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

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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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Course Cover

$12

$6

49% OFF

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