GK
Aug 31, 2021
This course has great potential for future Data Scientists and it gives a breif explination of what we are dealing in the companies by giving us real life problems and making us solve those problems.
AH
Jun 3, 2020
I love this course as it gives me the foundations of learning the Python coding program and relevant statistical methods that used for data analysis. It's really interesting course to attend to.
By Ngo L M
•Dec 7, 2022
Worth every penny!
By Saami S
•Jul 24, 2022
excellent course!
By Paul L
•Jul 13, 2020
Very good quality.
By Rania Y
•Feb 21, 2024
It's great course
By pritee k
•Jun 23, 2021
very informative
By Harsh P
•Mar 29, 2020
Amazing Course!
By Miguel H
•Aug 7, 2022
Great course!!
By Naeema T
•Jul 22, 2020
amazing course
By WANG Y J
•May 8, 2021
useful course
By Gerald D
•Nov 27, 2020
Great course!
By NHẤT Đ M
•Nov 11, 2024
greatttttttt
By Silvia M R
•Feb 14, 2023
Excellent!!!
By Jocerose G
•Jun 23, 2024
Thank u all
By hongsu
•Jun 17, 2022
good course
By Josabet A A G
•Jul 2, 2021
Good Course
By Lina J
•Oct 26, 2023
Excellent!
By Victor C
•Oct 11, 2023
Excellent
By Amin
•Jan 14, 2020
Thank you
By Emma R
•Oct 26, 2023
MUY UTIL
By Ardiansyah R
•Sep 18, 2022
Best
By Полина К
•Apr 22, 2023
It's perfect course, so precise videos and transcription! I express my gratitude to all the tutors and other members of a team who took part in course creation. You did really great job!
Note the course is not for the very beginner - you should understand smth in math, statistic and coding
What I didn't like at all in the course - a huge gap between detailed lessons and unexpectedly blurry explanations about how to write the final report. It seemed to me that I'd lost a week of lessons about doing the project somewhere
At least some examples or practise should be provided. I write marketing reports due to my current occupation but I got no idea whether my skills are appropriate in this case
By Harini B
•Aug 19, 2023
Basic concepts were explained in a systematic manner. Understanding was very easy with all those hands on exercises. End of course project was a struggle, needed some more ideas regarding the prediction of the model. Some more material regarding that would be of help. On the whole enjoyed the course, discussions were interesting and peer reviews helped understand other ways of answering the questions. Thank to the entire team of University of London and Coursera for this course.
By vijaya r
•May 25, 2020
This course starts from fundamental level. The instructors clearly explains statistical methods such as mean, variance, standard deviation, variance etc with python source code on a simple data set. Then they have explained plotting with labels and finally how to apply k-means clustering on bank note authentication dataset.
By Milica C
•Aug 10, 2023
Peer assessment is not my cup of tea. On the other hand, automatic code assessment has its pitfalls as well. I am not sure what the appropriate set-up should be for MOOCs.
Also, a different data set could have been more appropriate for the last week of classes in this course, in my humble opinion.
By Justin M J
•May 11, 2020
I would highly recommend this course for any beginners. it simply suits both the first timers and people who wish to further existing knowledge and understanding of Python and data science to another level. enjoyable homebased learning.