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 Etson R
•Jul 20, 2024
La traducción al español es deficiente, a la hora de pedir evaluar a otros usuarios deberían enlazar a usuarios del mismo idioma.
By Nkem A
•Feb 26, 2021
Enjoyed the course. Only wish I could save notes from the video while using the App on my phone and not only on my laptop/desktop
By Nazira M
•Aug 11, 2022
somewhar repetitive information but does drive home the point. Covers basic introduction to about what to expect in this field.
By Carlos A B
•Feb 10, 2024
Hay mucho contenido teórico que amerita verlo en un contexto más prácatico de lo contrario es un ejercicio de memoria nada más.
By Ankur G
•Sep 19, 2022
Its a Good Course to begin and Understand the DATA / ANALYSTICS and the SCOPE / TOOLS / WAYS OF Getting Insights from the Data
By Nakka p R
•Jan 5, 2021
great learning and also the introduction is pretty good and the suggestions from the real-world data analysts are pretty good.
By Shaheryar A
•Jun 25, 2023
Amazing course in terms of setting all the basic indepth knowledge for a person who doesn't knows nothing in Data Analytics !
By Gavin H
•Aug 22, 2022
Gives basic background information into many different aspects of data that you need to know before becoming a data analyst.
By Matton X
•Aug 5, 2021
Decent for a first Introduction. I have to say the "viewpoints" and stories from people who have worked with Data was helpful
By Fawzia A
•Jun 20, 2022
A great way to get an insight into data analytics. One will have to take additional courses, as this is exactly what it says
By Tran N N P
•May 18, 2021
It's a great course but the information is a little bit too overwhelming. Should have more hands-on exercise for memorizing.
By jonathan a
•Jan 3, 2021
decent introduction tho it feels like some stuff are just not important or boring.
also the exams were not challenging at all
By Kennet s
•Aug 2, 2024
It is a good course for beginners and at first we will struggle to catch the wave if we do so then it leads to a great path
By Anuj B
•Apr 7, 2023
Very theoretical and hard to follow, a lot of information is thrown at you with not sufficient time to process information.
By KAYENGA K C
•Sep 29, 2022
Un cours tres interressants qui t'introduit dans le domaine d'analyse des donnees et te preapre à etre un bon Data Analyst
By Craig R
•Sep 6, 2022
Informative and enjoyed the individual videos from data employees across the spectrum. Ready to dig in to the nitty gritty
By Silke G
•Jan 21, 2024
It would be 5, if the peer review wouldn't be set up for such grave failures and demonstrate a clear opportunity for bias.
By Somya P
•Jul 4, 2023
Great Course to join and to understand the basics of Data Analytics. This course take you to the journey to world of Data.
By Ajith B
•Apr 22, 2021
The course was really fantastic but I felt if the instructor was present physically it would have been even more effective
By vincent N
•Apr 6, 2024
Génial. Le contenu est bon et surtout, l'aide financière est très intéressante car elle aide les moins nantis d'apprendre
By chukwubuikem a
•Jul 4, 2022
The course was a great one , i really learnt a lot range from technical to soft skills and the importance of information.
By kiwans k
•Mar 24, 2021
Overall the course design was good and very good examples are provided for each of the topics as well as their subtopics.
By J H
•Apr 15, 2024
The lady talks too fast and I had to slow it down to be able to follow it. Other than that, it was an excellent course.
By Myvizhi P
•Nov 2, 2022
Overall course presentation is good. But, more real-time examples and scenarios can be added for better understanding.
By Juan M O
•Oct 19, 2023
Muy bueno pero muy básico, sin entrar en detalles en los lenguajes de programación ni en como utilizar los softwares