Chevron Left
Back to Introduction to Data Analytics

Learner Reviews & Feedback for Introduction to Data Analytics by Meta

4.8
stars
48 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

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

MK

Mar 10, 2024

Ii a great opportunity for me to complete this course successfully

Filter by:

1 - 10 of 10 Reviews for Introduction to Data Analytics

By Tabitha C

•

Jan 30, 2024

Right now, this is the best course so far. It is well organized, succinct, yet rich with values especially for a beginner like me. Kudos to Meta for developing this amazing course. The course instructor did justice to the delivery of the topics in a clear and understanding manner. I definitely recommend for anyone who wants to step into the data world.

By Samod A

•

Jan 6, 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

By Lindsay M

•

Mar 1, 2024

Very informative and well laid out for easy learning.

By Raphael V S

•

Feb 13, 2024

The course is very good. However, there is a problem that occurs in most courses with peer assessment: there is a chain of cheating where people upload any rubbish as an assessment and ask in the forum for their work to be corrected, and they give 100% of the correction as an answer. Some of my work has been corrected within minutes, proving that the person didn't read it and just applied the points. This undermines the credibility of Coursera courses.

By Cinthya T

•

Jan 19, 2024

Buenísimo para empezar y recordar aspectos básicos en el proceso de analísis de datos :)

By musa k

•

Mar 11, 2024

Ii a great opportunity for me to complete this course successfully

By Victoria N

•

Oct 19, 2023

I love it

By AKASH K R

•

Nov 1, 2023

super

By Andrew W

•

Jan 17, 2024

My assignment download was different from everything I reviewed.

By Mohammed A

•

Jan 22, 2024

Peer assessment should not be made mandatory