ZS
Jan 13, 2021
The contents of this course are really practical and to the point. The examples and notebooks are also up to date and are very useful. i really recommend this course if you want to start with Spark.
EH
Jul 21, 2021
Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory
By Stavros T
•Sep 23, 2021
Interesting material, but i don"t feel i"ve learned how to actually use spark on my own. Most of the code was already in place during the assignments and i just had to add some minor easy parts. Kept some nice noted though and will revisit this in the future.
By Tiago S
•Oct 12, 2021
Not recommended course for an intermediate level of Statistics and ML. I had the impression it will be focus on pyspark and apache, but it turned out to be on ML topics.
By Erik A
•Aug 31, 2020
The videos are fuzzy, extremely outdated, and don't match up with the actual projects. I couldn't pay much attention to them. Projects were good though.
By Nancy P
•Apr 16, 2022
The material was outdated, and the programming assignments were more appropriate for novice learners, rather than professionals is the field.
By Markus W
•Sep 22, 2019
Romeo does a very good job of explaining things!
However, the programming assignments are too easy to learn anything from.
By Brendan A
•Dec 27, 2021
Meh. Not the best one. Videos are hard to watch and not very clean instructions. I'm going to try a different course.
By Zhao Q D
•Mar 9, 2020
Both exercises and programming tests are too easy. It should be real programming instead of filling in the blanks.
By Jason M
•May 14, 2020
very simple. homework not challenging enough - just repeating the demos almost exactly.
By Brian A P
•May 1, 2020
The course content is not well structured and at times very confusing.
By Paulo R C D S
•May 4, 2020
Very basic and Spark exercises are too easy to learn useful skills
By Yew C L
•Oct 15, 2020
Not really fundamental. Beginner will have difficulty to learn.
By Nima
•Jun 4, 2020
Big data materials are less discussed specially coding sections
By RAHUL C
•Aug 21, 2020
The course feels old now. Not much interactive.
By Hossein A
•Jun 17, 2020
Very good topics very not very good instructors
By Joe O
•Mar 20, 2024
Very outdated, but good information.
By Smriti C
•Jun 8, 2020
Not a recommended course
By Darragh K
•May 30, 2022
The whole course seems to be mainly an advertisment for IBM Watson Studio. However, there are caveats in using the IBM service: Firstly, the instructions given in the course are outdated, and setting up the environment is quite cumbersome. Secondly, the free IBM cloud lite licence allows the usage of 10 Capacity Unit Hours (CUHs) per month. However, the environment that can be used for this course uses 1.5 Capacity Unit Hours (CUH) per hour. This is just not enough to provide a proper learning environment. All in all I found this course to be a bit of an embarrassement for IBM.
By Georgia C
•Sep 1, 2021
An introduction into incredibly basic data science concepts and the assignments are very simple. Would like a more in depth coverage of Apache Spark, including how to use it outside of the Watson Studio set up. I found the material on parallel computing quite complex and hard to follow. Some material has been removed from the course which makes the videos in week 2 seem a bit incongruous.
By Felipe M
•Sep 18, 2019
Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.
By Gerardo M
•Jun 10, 2020
A lot of the code explained in the video doesn't work with Python 3. The course is missing real examples with updated code working with the latest versions. If I have to go on the internet to learn how to pass each programming assignment of this course because the videos are outdated then I can do this for free, no need to pay the 40 euros/month. Thanks
By Polina B
•Feb 20, 2022
The course does not correspond to the name "Advanced" Data Science at all. Instead of watching the videos about what mean and standard deviation are, I expected to get a more structured and detail view on what Spark is and how it works. Also, there are some typos and mistakes and creators do not put much effort on keeping the materials up to date.
By Joshua C
•May 17, 2024
Would give 0 stars if I could. Ran into unsolvable error for the first assignment just like many, many others as indicated via countless user's posts with the same error listed in the assignment's discussion tab. "Professor" tells me to keep deleting a file and restarting the kernel in response to me stating that I had already done that 3 times.
By Nadin B
•May 6, 2024
Unstructured. Week two refers to an exercise in week one which was never asked for. I do not recommend that course. It feels like several lessons are missing. Noone ever explained how to use Bluemix - not to mention that bluemix is out of date and now is IBM Cloud.
By Deleted A
•Nov 12, 2020
Course materials is not up to the with the latest state of the IBM Cloud environment. IBM Cloud environment is super buggy. Need to transform this training to make the user use its own environment and not push the IBM Cloud infrastructure.
By James N
•Aug 1, 2022
Covers about 30 seconds worth of actual content. If you know anything about Python/stat, this course doesn't give you anything about *scalable* with exception to a super high level presentation of the idea behind Spark.