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

Jul 21, 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 !

Mar 10, 2022

This is an insightful and educative pathway for me to become a data analyst as it stands. Great thanks to both IBM and our promising Coursera for this opportunity.I see this course as excellent

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By Hrithik S N

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Dec 23, 2023

good

By Ndubuisi B

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Dec 7, 2023

Good

By Olaojo F

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Nov 23, 2023

Good

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Oct 31, 2023

Good

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Oct 16, 2023

best

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Sep 28, 2023

good

By Hamza A

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Sep 1, 2023

well

By FANUEL F F

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Aug 29, 2023

good

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Aug 17, 2023

Nice

By Reem N

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Aug 16, 2023

good

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Jul 24, 2023

good

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Jul 9, 2023

best

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Jun 15, 2023

Good

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Jun 13, 2023

best

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Jun 12, 2023

good

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Jun 8, 2023

Good

By 21IT114 P M Y

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Mar 5, 2023

GOOD

By Ramprasad D

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Mar 5, 2023

good

By Ferdinand A M J

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Feb 1, 2023

nice

By DIMPLE G

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Jan 5, 2023

good

By nitin v

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Dec 12, 2022

Good

By Andri P

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Nov 15, 2022

good

By NOUHAILA A

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Nov 7, 2022

toop

By TT J

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Sep 2, 2022

good

By Abdulla S A

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Aug 16, 2022

Good