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.
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.
By Julia R
•Dec 27, 2022
Overall I found this course very informative and easy to use. It helped me to understand whay data analytics is and if it is something I wish to pursure further. I found the discussions helpful and my questions were answered quickly.
By Samuel K N
•Jan 2, 2021
Although a necessary base to begin the certificate, or a broad understanding of the tasks, skills and software that will be used, I found some sections repetitive or too simple.
Must be done though. And it is well prepared and explained.
By Ritchie R
•Feb 11, 2022
Excellent course. Very motivating to get a hang of Data Analytics/Data Analysis for Business decisions if one gets hooked to making something meanigful from available data. All for the good of people connected for the common good.
By Russell G
•Feb 15, 2021
Good course on the introduction to data analytics and covers relevant content. The peer assignment checking process is broken and has no way of checking that the peer reviewer is making the correct judgement, this needs fixing.
By Molly H
•Jun 19, 2024
The Course provides basics of data analytics. It is for beginners to learn about a big picture of the industry and skills needed for data analysts. The course is helpful for me to learn about where to start with data analysis.
By Patricia M
•Jun 1, 2023
Como introducción es muy bueno, ya que explica las bases y el significado de conceptos relacionados con el análisis de datos. Sin embargo, esperaba por lo menos 1 u 2 ejemplos de alguien haciendo un análisis de datos sencillo.
By Lucia M
•Jun 22, 2022
I liked it. Very complete! What I would like to have seen was more visual examples of some tools (how they are, how is their interface) like R, excel, or other visualization tools, in order to get acquainted with them.
By Zulfiqar A
•Apr 7, 2022
Introduction to Data Analytics is a very thorough in troduction to data analytics. This course is designed to be beginner friendly. So, it is highly recommended for people entering the field of data science/analytics.
By Muhammad S
•Feb 13, 2022
It would be better to explain things gradually and take more time in each part as I felt I was being introduced to a lot of information that made things a little difficult to tell differentiate between certain things.
By Renato C A
•Mar 28, 2022
Considero que los ejemplos en los videos deben hacerse con las herramientas adecuadas, por ejemplo, cuando se habla de data wrangling, hacer el proceso con Power Query y subirlo como ejemplo mientras corre el video.
By Maria M
•Jan 31, 2022
The only disadvantage of this course was having to review peers' assignments to move forward to the next courses. It took a long time for an ungraded assignment to appear so that I couldg grade it and move on.
By m a
•Feb 27, 2021
Was a quick overview of the types of tools, software and approach needed in the field of data analytics. not so much a "hands on physically teaching skills" course as an "awareness of what is out there" course.
By Igor P
•May 13, 2021
Overall it was great for me as a complete beginner. I liked the method. However some questions in the final tests were really bad (in Module 1 remember which example MrX give about data analytics?) So stupid!
By Phillip P
•Sep 29, 2022
The information and terminology is good, but the limited interaction in this course makes it hard to stay focused. It might help if there was a midpoint activity or something to help keep students engaged.
By Mohamed E
•Nov 26, 2020
The course was very useful and ease to learn it would much better if there were more practical examples (real life examples) that explore all the process of Data analysis till the visitation and publishing
By Shantanu K
•Sep 25, 2024
This is a good course for those students who don't have any knowledge about data analytics , and ya 25%-30% course is really indepth knowledge about DA which you will get only by reading multiple books .
By Jaymie C
•Mar 13, 2023
Good starting point, however this is not so much an intro course as there is limited information such as terminology. Without the experience I have, I would not have been able to do this as a "newbie."
By Diego J A S
•Sep 28, 2024
I don't know if it would be complicated legal wise, but it would be helpful to see examples of how the data can ve visualized or organized in the different softwares mentioned. But pretty solid course.
By Fizza A
•Aug 19, 2024
when I try to submit my weekly quiz they ask me to upgrade to submit my assignment even though I am currently enrolled. Is there someone who faced the same issue? If yes how were you able to fix it?
By Aritra G
•Dec 7, 2021
As a introduction course that is a wonderful course where we deal with basics of analytics. I expected lot more from this course . But then also it is wonderful course as a basic introduction.
By Kathleen C
•Sep 15, 2022
In addition to the text file of the video transcript, I would be good to have a powerpoint of the slides in the video. This would capture the visual organization of the informtion provided.
By Benedict M
•Sep 3, 2022
Good informative course, could be a little more interactive. While each section had quick test at the end, it would've been nice to have had more engaging questions and activities throughout.
By Mathew J
•May 8, 2021
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.
By Maniraho F
•Nov 2, 2022
This course is really a great start and the experts give amazing motivations. However, I suggest you include examples during the teaching so that we can relate well to what we have learned.
By Carlos d S
•Jul 27, 2022
En un video el audio era muy malo y en la transcripción de la presentación aparecía una leyenda que decía algo como "inaudible" en lugar de lo que mencionó la persona que daba su opinión.