Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

19,761 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

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.

Oct 21, 2020

A great Introductory course by IBM and Coursera to start your career in Data analytics. Learned a lot from this course like what are the skills that are needed in order to become a good data analyst.

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Jan 31, 2025

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Jan 31, 2025

good

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Jan 29, 2025

nice

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Jan 25, 2025

nice

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Jan 18, 2025

well

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Jan 18, 2025

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Dec 8, 2024

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Nov 24, 2024

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Nov 18, 2024

nice

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Nov 16, 2024

GOOD

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Nov 14, 2024

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Nov 14, 2024

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Oct 24, 2024

Good

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Oct 24, 2024

good

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Oct 22, 2024

good

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Oct 19, 2024

Good

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Sep 10, 2024

good

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Sep 7, 2024

good

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Sep 3, 2024

nice

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Aug 25, 2024

good

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Aug 20, 2024

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Aug 4, 2024

good