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Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8
stars
17,903 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

MS

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.

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.

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Jan 10, 2024

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Feb 22, 2022

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By Daniel H

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Aug 29, 2023

This is my first course in Coursera. I appreciated the high level views of data analytics and review of many of the processes and tools used therein. I found a couple of the quiz questions to be a bit subjective, referencing specific speakers' views on the topic. But, this is not enough to not recommend this course. The final exam is a guided exercise in data analysis that offers a great balance of giving the student a challenge while also making it attainable. This exam is also peer reviewed. I did not like that one of my responses was marked down because it did not exactly match the key of "some of" the possible correct answers, when I believe I either fully met or exceeded the requirements for full credit on that question. Again, the course is still worth taking.