Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

19,655 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

Sep 17, 2024

Thank you for creating this course. As a beginner trying to become mor analytically sound using data analytics, it was a great start to see the extent of tools that we can in subsequent courses.

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 Ranjan P

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Jan 31, 2024

good

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Jan 22, 2024

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Jan 19, 2024

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Oct 31, 2023

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Oct 16, 2023

best

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Sep 27, 2023

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Sep 1, 2023

well

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Aug 28, 2023

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Aug 16, 2023

Nice

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Aug 16, 2023

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Jul 9, 2023

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Mar 5, 2023

GOOD

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Mar 5, 2023

good

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Feb 1, 2023

nice

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Jan 4, 2023

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By nitin v

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Dec 12, 2022

Good