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Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8
stars
16,892 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

MB

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.

BS

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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3326 - 3350 of 3,517 Reviews for Introduction to Data Analytics

By Vadym B

Sep 27, 2024

Useful

By Amani A

Oct 31, 2021

thanks

By Wilson E

Sep 8, 2023

great

By Taiwo O

Jul 19, 2023

Great

By Pallavi K

Jan 30, 2023

HUIBH

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Jan 27, 2023

good!

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Nov 24, 2022

Good!

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Oct 29, 2022

good

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Nov 14, 2024

good

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Nov 12, 2024

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Nov 11, 2024

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Nov 11, 2024

good

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Sep 10, 2024

Good

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Sep 5, 2024

Nice

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Aug 25, 2024

good

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Nice

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GOOD

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Nice

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Jan 30, 2024

good

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Jan 27, 2024

good

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Dec 13, 2023

good