课程概述
热门审阅
MB
Sep 18, 2020
It is self paced giving a good grounding on the subject provided you are an inquisitive & enthusiastic learner. It does not provide a deep dive but gives a road map for self learning.
JG
Nov 29, 2019
This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).
1751 - Data Science Methodology 的 1775 个评论（共 2,665 个）
创建者 pawan s
•Apr 11, 2020
....
创建者 Camilo Q
•Apr 4, 2020
Nice
创建者 Pankaj S
•Mar 11, 2020
good
创建者 Priyanka R
•Mar 10, 2020
Good
创建者 Priyansh P
•Feb 26, 2020
good
创建者 KOPPARTHI H H
•Feb 24, 2020
good
创建者 Rushikesh J
•Nov 30, 2019
Best
创建者 Yuliana K
•Sep 7, 2019
exce
创建者 Deleted A
•Sep 4, 2019
good
创建者 Prabhu M
•Aug 31, 2019
good
创建者 Inggriani W
•Jul 17, 2019
none
创建者 SAURABH P
•Jul 1, 2019
Nice
创建者 Senthil R B
•Jun 24, 2019
Good
创建者 Miriam R
•Mar 27, 2019
good
创建者 Moulay A E T
•Dec 15, 2023
ok
创建者 Talha A
•Sep 1, 2019
<3
创建者 Ritwik G
•Feb 20, 2019
NA
创建者 Lobsang A B R
•Oct 1, 2025
.
创建者 Bryan D A F
•Sep 22, 2025
,
创建者 Jhonny A M T
•Dec 9, 2024
.
创建者 Nithyasri S
•Apr 15, 2022
创建者 Manoj N
•Aug 31, 2021
创建者 Pradeep K S
•May 25, 2020
5
创建者 James Y
•Jan 28, 2020
P
创建者 Samuel W J
•Apr 24, 2021
First, I would like to thank everyone at IBM for putting this course together. It’s like ordering a meal at a famous, beautiful, expensive restaurant. The customer orders the food and then they get what they ordered. However, they didn’t see and hear Gordon Ramsey in the kitchen and the fight it took to bring the best dish to you. When we as students come to the course, everything is already prepared. We don’t see the hours of hard work and extreme attention to details that go into it. So thank you all for what you do behind the scenes. I’ve learned a lot so far and I really can’t wait to keep going. In this course I really like the simple approach it took in the beginning and the illustrations and comparisons to cooking. It made it really easy because who can’t identify with wanting to have a good meal? Hopefully I can add a small touch about what I’ve observed to the vast knowledge of IBM. In the course, it was explained well what the data methodology is and then how that knowledge was applied in the case study. However, it was difficult to understand why that knowledge was applied the way it was. It felt like a math equation was shown on the board and then right after that, the answer was shown, but what was missing was the steps in between of why that was the answer. Another part that made it difficult to fully comprehend was the labs. I was looking forward to actually working with data, but everything was already there and it felt like the answers were shown to me without helping me understand why this conclusion had been reached. It’s easy to pick out things to work on because nobody is 100% free from flaws and really who am I to attempt to suggest anything to an industry that doesn’t need my viewpoint? I do hope that this was received well. This course still was a very hearty meal and left me wanting more. I look forward to the next course! Thank you again for all of your hard work!