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Learner Reviews & Feedback for Introduction to Data Analytics by Meta
707 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 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
JL
Aug 15, 2024
I really liked the instructor, the materials and the examples used to cement the concepts explained in the videos and reads. Plus the in-video quizzes are great for staying alert!
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126 - 128 of 128 Reviews for Introduction to Data Analytics
By Ryan K D
•Dec 8, 2024
Too much repetition
By MURAT T
•Apr 28, 2024
Türkçe alt yazı desteği bulunmuyor
By Ahmed E
•Jul 21, 2024
Better to be shorten