RP
Apr 19, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
SC
May 5, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
By Germán G
•Mar 17, 2022
so so
By Sakhumzi D
•Sep 8, 2021
Decent
By KIRTAN K
•Oct 13, 2022
good
By moh a
•Sep 29, 2022
very
By Arpita D
•Nov 19, 2024
good
By LOKESH F
•Sep 11, 2024
nice
By SACHIN.S
•Apr 1, 2024
nice
By Dheeraj D
•Mar 29, 2024
good
By Sweeti S
•Feb 2, 2023
good
By Hesham M R
•Nov 10, 2022
easy
By Motlatsi M
•Dec 23, 2020
BEST
By Landyn C O
•Oct 6, 2020
good
By David H
•Mar 7, 2020
good
By Oseyi K
•Jul 12, 2019
good
By Abhi 0
•Apr 23, 2019
good
By Vigneshwaran P
•Mar 13, 2019
good
By Ayo S
•Oct 23, 2018
Good
By Sandesh L
•Sep 13, 2022
wow
By Momin P
•May 22, 2022
na
By vic l
•Oct 17, 2021
no
By Shubham S
•Mar 9, 2022
.
By Isaac S
•Jul 5, 2020
.
By MAHESH K W
•Jan 21, 2020
M
By Christopher L
•Feb 5, 2020
The course itself is good. But the amount of material covered is staggering large compared to the previous 5 classes. Why cram so much into this one class! The material is broad enough that it should be covered in 2 classes not 1. And as I've found in all the classes in this certificate program, there are not enough problems given to help students exercise all they are learning. There should be problem sets (with answer keys) given after each week that helps to drive home the important concepts. These could be optional, but I think it is imperative that students have an opportunity to work through more problems to help lock all of this important information in. There should also be links to places to go to learn more about each presented topic.
And the amount of errors in both the videos and labs is really bad. The class preparers (IBM) have done a horrendous job of catching and fixing the multitude of errors in the videos & labs that simply lead students astray. They have to find some method to get all the material correctly updated quickly and I suggested they should keep an ERRATA PAGE that lists all of the known errors that haven't been fixed yet. This would help them to keep an active punch-list of what has to be corrected and allow students to more easily check if a problem they are seeing is related to incorrect materials without having to scrub the forums to try to find answers. And the forums are not run very well. It generally takes a day to get any answers and the answers are not very thorough and in many cases just wrong. Students need a better way to ask questions when they get confused and the answers should be completely explained and relevant.
By Piyush G
•Jan 3, 2019
Although the labs were pretty solid and helpful, the assignments were equally terrible, lacking depth. it seems like the course developers didn't give much thought to the level of problems being asked in the assignments. Most of the assignments contained 2-3 problems that too with absolute basics. The last few modules felt a bit rushed without proper explanation of some concepts as in why it is being used. Moreover some topics were taught erroneously as one can see from the respective forum discussion of the particular week.
could have been thorough with the assignments with problems solving emphasis like we see in the real world scenario. something like a dataset is provided and some relevant questions are asked based on the data. would have been much more helpful for aspiring data analysts. 3 stars just for the quality of labs.
Good for some one just wanting to dip their toes in the know how of the data science. could have been much better with proper formalization of assignments.