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Data Science

Statistics for Data Science and Business Analysis: is it worth it?

by 365 Careers · All Levels · Development

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

Worth it on sale — 61/100

Good, but with a weak spot (see the breakdown). Only buy at a discounted sale price. Not updated for 32 months — check whether the tools it teaches have changed.

Rating4.5 / 5adjusted 4.5
Reviews50,363
Students236,121
Video4h 52m92 lectures, 18 sections
Avg lecture3.2 min
Last updatedFeb 2024

Score breakdown

Adjusted rating (4.5; raw 4.5 from 50,363 reviews)35 / 50
Review volume (social proof)24 / 25
Freshness (last updated Feb 2024)3 / 25
Total61 / 100

How it compares in Data Science

Ranks #8 of 10 popular Data Science courses we track by score. Its rating of 4.5 is equal to the Data Science median.

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SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL
Kirill Eremenko, Ilya Eremenko, SuperDataScience Team, Ligency ​
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Power BI A-Z: Hands-On Power BI Training For Data Science!
Kirill Eremenko, SuperDataScience Team, Ligency ​
4.524,3204h 22mJan 2025 67
Statistics for Business Analytics and Data Science A-Z™
Kirill Eremenko, SuperDataScience Team, Ligency ​
4.512,9116h 5mJan 2025 65
Python for Data Science and Machine Learning Bootcamp
Jose Portilla, Pierian Training
4.5161,00624h 54mMay 2020 63
Data Science and Machine Learning using Python - A Bootcamp
Dr. Junaid Qazi, PhD
4.456124h 56mFeb 2020 47

When to buy

Udemy runs storewide sales frequently and list prices are rarely what buyers pay, so the usual advice is to wait for a sale price instead of paying list price. Prices differ by country and account, so we do not show them; check the current price on Udemy.

Tracked history

DateRatingReviewsStudentsVideoUpdated
2026-10-104.550,363236,1214h 52mFeb 2024

Tracking since 2026-10-10. Snapshots are taken every few days.

View this course on Udemy