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Learner Reviews & Feedback for Introduction to Data Analytics by Meta

4.8
stars
1,050 ratings

About the Course

This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making. By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and their applications across different scenarios • Identify data gaps and articulate the strengths and weaknesses of collected data You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation in this program....

Top reviews

UU

May 15, 2024

The course is made easy to understand with practice exercises and Anke made it so fascinating.

SA

Jan 5, 2024

The course is a great stepping stone for subsequent courses in Data Analytics. The OSEMN framework is promising to be applicable in both industrial and academic research. Thank you

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201 - 205 of 205 Reviews for Introduction to Data Analytics

By Vinz E

Sep 22, 2025

Wh is a Facebook account required? Unenrolled.

By MURAT T

Apr 28, 2024

Türkçe alt yazı desteği bulunmuyor

By Andres C

Oct 20, 2025

Basuras devuelvanme mi dinero

By Ahmed E

Jul 21, 2024

Better to be shorten

By Andrii L

Apr 23, 2025

very basic