Learner Reviews & Feedback for Introduction to Data Analytics by IBM
About the Course
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 Spa...
Top reviews
MS
May 4, 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 16, 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.
876 - 900 of 3,815 Reviews for Introduction to Data Analytics
By tolgonai k
•Mar 4, 2021
The course is very informative. Perfect to gain a bird's eye view of what data analytics is.
By Rodney J C
•Apr 29, 2025
This course has been helpful for my transition into this field from retail sales management
By Trần H
•Sep 20, 2023
This course gave me an overview of Data analytics, before I dive in to data analysis major.
By Talha
•Sep 9, 2023
my experience is more than my expectations. want to learn more and polish my skills as well
By Francesca D
•Jun 15, 2023
The course was very interesting. Especially with the testimonials and the various exercises
By Nicholas M
•Apr 6, 2023
Highly recommend for those wanting to learn data analytics but have no idea where to begin!
By Rita M
•Feb 20, 2023
Super informative and gives you an overview of what you're getting into for Data Analytics.
By Paul S
•Feb 8, 2023
Excellent and engaging. The peer-graded assignment was so informative.
Thank you so much :-)
By Taha A E k
•Jan 1, 2023
light but informative course giving an introduction to the basic concepts of Data analytics
By Joseph E
•Sep 11, 2022
This is an excellent course that brings a lot of light and understanding of the data field
By Zainab B
•Aug 30, 2022
I learned alot from this course. Introduction to Data Analytics by coursera is just amazing
By Gabriel R Q
•May 26, 2022
Is an excelent choice, for someone that would like to grasp data analytics basics concepts.
By PRANIT S
•Dec 18, 2021
well arranged topics along with Very good PPT presentation making learning more attractive.
By Michael H
•Nov 8, 2021
It's good. I wish they would just give us the notes in text form, it would make it easier.
By Ayodeji A
•Oct 4, 2021
This is a great course. it offers a rich information about various aspect of data analytics
By Reymon D C
•Jul 12, 2021
The course is comprehensive and well made. The explanations in the videos were quite clear.
By Eduardo F
•Mar 11, 2021
Very informative and great for understanding the fundamentals of data analytics. Thank you!
By Monish B
•Dec 19, 2024
It gave me a really good introduction about data analytics and an idea for my career path.
By Davide A
•Oct 1, 2024
This course was so awesome! It's really made me want to keep learning about data science."
By Mateen R
•Dec 7, 2023
This course covers basics of Data Analytics by providing birds eye view of Data Ecosystem.
By Hadassah E
•Nov 16, 2023
Easy to learn, and understand. The course is well structured. I really did enjoy learning.
By RAGHUVEER K
•Oct 6, 2023
This course gives you all the basics you need for the data analytics journey best of luck.
By ThangND8
•Jun 22, 2023
The course will bring you to all fundamental things you need to start with Data Analytics.
By Saleem K
•Nov 17, 2022
very informative and up to the mark thank you so much to provide such good platform to us.
By Vladimir M
•Jun 21, 2022
Ótimo curso, abrange de forma ampla a área estudada dando um norte ao futuro profissional.