Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

19,627 ratings

About the Course

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience....

Top reviews

Jul 20, 2023

All content was related and helpful, the only issue I see is the final assessment, peer graded. It looks like some students who want to get feedback on others', do not read the answers at all !

Oct 16, 2021

Pretty good course. In my opinion the reading material was a bit brief and did not really cover the quiz questions. Other than that though it was pretty clear and relatively easy to understand.

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By JAYAGAAYATHRI P

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Jul 6, 2025

Super

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Apr 9, 2025

Great

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Feb 11, 2025

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Feb 10, 2025

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Jan 18, 2025

bagus

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Jan 2, 2025

*****

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Nov 22, 2024

GREAT

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Oct 28, 2024

Класс

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Oct 7, 2024

great

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Jul 25, 2024

Ótimo

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May 28, 2024

Good!

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Jan 12, 2024

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Jan 7, 2024

GREAT

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Nov 22, 2023

Maram

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Nov 18, 2023

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Nov 14, 2023

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Aug 9, 2023

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Jul 21, 2023

great

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Jun 14, 2023

Great

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May 29, 2023

great

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May 8, 2023

great

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Apr 28, 2023

great

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Apr 24, 2023

great

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Mar 27, 2023

great