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Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8
stars
15,948 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

CB

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The experience was awesome I got to learn many new things along with the skill and expertise and it was fun I started loving data more and understand it it even better. Thank you Coursera. ❤️

MJ

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Very beginner friendly course. Which enables one to take decisions on whether or not to pursue Data Analytics and also helps in deciding which career track in Data Analytics is right for you.

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By ZARIFAXON B R

Feb 22, 2024

zo'r

By SHAXOBIDDIN B S O

Feb 19, 2024

Nice

By Ranjan P

Jan 31, 2024

good

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Jan 22, 2024

good

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Jan 19, 2024

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Jan 18, 2024

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Dec 23, 2023

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Dec 6, 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

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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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Jun 11, 2023

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Jun 8, 2023

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Mar 5, 2023

GOOD

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Mar 5, 2023

good

By Ferdinand A M J

Feb 1, 2023

nice