Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

17,124 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

Nov 15, 2020

Course is really helped me understand the concept of Data Analytics. The viewer's points explained What, Why, and how Data Analytics. And the final assignment gives an exact idea about Data analysis.

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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By Sumant S

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Jul 9, 2022

Nice

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Jun 23, 2022

good

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Jun 23, 2022

good

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Jun 18, 2022

Good

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Jun 8, 2022

nice

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May 14, 2022

Good

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Apr 19, 2022

Good

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Apr 6, 2022

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good

By Ruhani S

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Jan 25, 2022

best

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Dec 22, 2021

GOOD

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Dec 10, 2021

Good

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good

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Aug 9, 2021

GOOD

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Jun 26, 2021

good

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Apr 7, 2021

good

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Feb 16, 2021

nice

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Feb 2, 2021

good

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Jan 2, 2021

good

By Avik C

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Dec 11, 2020

good

By Deepak J

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Oct 19, 2020

good

By Shahood P

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Jul 18, 2024

IBM

By Raghad A

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Jul 1, 2024

جيد

By Oxaky S

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Mar 25, 2024

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