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Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8
stars
16,917 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

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.

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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2926 - 2950 of 3,524 Reviews for Introduction to Data Analytics

By Golriz D

Mar 16, 2021

It was great and I enjoyed it ,but the narrator speaks too fast and the course needs more practices.

But totally it was very useful.

Thank you from all of you

By LAU Y T

Aug 25, 2021

It is a good course as a beginner, but may be a bit too basic for someone who already has experiences in the field. But interesting and useful nonetheless!

By Pablo E

Jul 21, 2021

some times the course become robotic and boring, the content is really good, it could be a good idea to provide documents for proper follow of the videos.

By Jenifer F

Feb 18, 2023

This course helped in providing basic understanding of Data Analysis process, role of data analysts and different tools used in the data analysis process.

By Wendy P

Mar 14, 2022

a lot of information and facts about data analytics. because it is split into smaller bits and the explenation is very good. It feels like easy learning.

By Siwa B

Aug 6, 2022

Too much theory and information on Week 1-3

Week4-5 was so great, especially Week 5 : Career opportunity provide a very useful, tips & trick information.

By yusif a

Jun 6, 2022

this course is very insightful and thanks to the videos which made it all concise and i recommend it to all who wants to ses themselves as data analysts

By masrikul h

Sep 13, 2021

amazing sources of knowledge, easy to learn & grow according to time step by step, easy to understand the stage values which design for. Thanks coursera

By Roktim c

Apr 30, 2021

It was a very good course for you if you area beginner it will work for you as a stepping stone for you to move forward into the world of data analysis.

By Carla-marie H

Mar 22, 2023

Learned so much and really enjoy the course.. It was a good introduction for beginners, not to overwhelmed with new information but still informative.

By Eric T

Dec 16, 2021

A lot of definitions that are probably more relevant to those early or pre-career. But I can see the value to those without any corporate experience.

By Deleted A

Jun 23, 2021

Very good for birds eye understanding of key concepts and terms. Not enough practical/visual demonstrations, guides or explanations alongside though.

By S A N

Mar 22, 2021

Great start to a fun-filled learning journey. The basics of data analytics are well expounded, giving the learner a curiosity to see what comes next.

By Mahali F

Dec 12, 2023

I thoroughly enjoyed this course, it entailed everything I needed to know about data Analytics as a beginner and it made it easier for me to learn.

By Frank R

Jan 4, 2023

The course adequately introduces learners to the field of Data Analytics. What could be improved is the quality of questions employed in Quizzes.

By Sruthi A

May 28, 2023

Very theoretical with few use case studies. Yet was very informative and was like a wholesome beginner capsule (short yet thorough foundation)!

By Benjamin D

Sep 11, 2024

Good intro module but needs more interaction throughout. Engage during the learning rather than just a mini test at the end of some videos.

By Andrew B

Jan 1, 2024

The final exam questions 1 and 2 were confusing. Instead of asking for data points, the test should have asked for attributes or fields.

By Enrique

Nov 21, 2024

algunos proyectos no se entienden. tambien algunos test estan en ingles y no español. algunas preguntas de alternativas son discutibles.

By Elena A

Aug 25, 2024

It's a good intro to Data Analytics, however there are a lot of materials which are very very broad and which don't bring so much value.

By Brandon F

Aug 22, 2023

From just a listening perspective this course was great. maybe a few hands on portions or references would help in better understanding.

By Sumeet R

Jul 7, 2023

This course covers almost every aspect which a beginner should know before entering the field of data analysis. Course is quite helpful.

By Adewale A

May 10, 2022

The course really opened me up to the knowledge o data analytics and the role of a data analyst. It is quite instructive and informative

By Ofiwe V

Sep 24, 2022

Good detailed explanation of data and analysis and types of analysis. Good motivation from the extra people view from top data analyst.

By John S S R

Dec 14, 2022

There is good info, but some parts could be more exciting and valuable. I am referring to some of the segments where the experts talk.