Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

16,809 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

May 3, 2023

A very structured course to give basic and useful insight to the world of data analysis. From zero, one absorbs the possible levels of details and requirements to get into the world of data analysis.

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.

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2701 - 2725 of 3,500 Reviews for Introduction to Data Analytics

By Husan S

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May 7, 2024

GOOD

By Aaron V M

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Apr 8, 2024

Bien

By ZARIFAXON B R

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Feb 22, 2024

zo'r

By SHAXOBIDDIN B S O

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Feb 19, 2024

Nice

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Jan 31, 2024

good

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good

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Jan 19, 2024

Good

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Jan 18, 2024

good

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Dec 23, 2023

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Dec 6, 2023

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Nov 23, 2023

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Oct 31, 2023

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Oct 16, 2023

best

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Sep 27, 2023

good

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Sep 1, 2023

well

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Aug 28, 2023

good

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Aug 16, 2023

Nice

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Aug 16, 2023

good

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good

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Jul 9, 2023

best

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Jun 14, 2023

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Jun 13, 2023

best

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Jun 11, 2023

good

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Jun 8, 2023

Good

By 21IT114 P M Y

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Mar 5, 2023

GOOD