Sep 10, 2017
A perfect course to pace off with exploration towards sensor-data analytics using Apache Spark and python libraries.\n\nKudos man.
Feb 08, 2019
Good course content, however, some of the material especially the IBM cloud environment setup sometimes confusing
par Mike D•
Nov 29, 2018
Currently, it is not advisable to take this course.
I have finished the excellent IBM Data Science Professional Certificate series on Coursera and wanted to improve my knowledge of scalable Data Science with this series. Unfortunately, the videos and advice are extensively outdated. Python 2 is used through this course and the instructions of how to set up Node-RED and Cloudant do not work. I have been trying to work myself around that but then again, I wouldn't need this course in the first place and it only leads to confusion. Also, instead of the Cloudant application UI, Kibana seems to be used now, which there is no introduction to. I have noticed that Romeo Kienzler, the course lead, is very active and dedicated in the discussion forums. I am afraid, I have to give this course 0 stars for content (for now) and 5 stars for course lead dedication.
par David-Leigh B•
Dec 18, 2018
IBM cloud environment is buggy and inconsistent with lectures.
When deploying services it sometimes fails and you are unable to remove them, rendering the account inoperable (as you have limits on free tier)
par Robert M•
Jun 12, 2019
Training Videos are pretty good for a beginner but to consider this an advanced course is incorrect. Intermediate at most. In addition the application of lessons to assignments were minimal as the answers needed for the assignment were not related to the content that was discussed, just very simple fill in the blank.
par Marcin S•
Apr 14, 2019
not enough additional materials
par Dmitry B•
Jan 11, 2019
This course is teaching how to work with data in a distributed environment. While getting used to IBM Cloud takes time, it is definitely a friendlier environment for data scientists and it removes the burden of setting up the infrastructure.
par Zhihao Z•
Jan 04, 2019
I couldn't find most relevant IBM web pages only with the instructions; I spotted typos and bugs in exercises; the most disappointing part is the autograder which malfunctions OFTEN on unclear grounds, I had to submit my assignment multiple times and to test the autograder.
I could have spent less time learning more.
par Vuong B A•
Nov 30, 2018
Setup process is tedious
par Gabor K•
Nov 10, 2018
I will un-enroll after 7 days in the course as the basic cloud environment setup did not work as written in the course handouts and videos. Which could be okay, however noone replied to my questions for 4 days on that, and the reply tips did not work either. Updating with screenshots, explanations no answer till today so what would have been a 15 minute job takes 7+ days here. At other coursera and competition platforms all my questions got answered in hours vs weeks as in this course.
par Vincenzo M•
Apr 13, 2018
I'm really disapointed with the "Fundamentals of Scalable Data Science" course from IBM. The videos are referring to an outdated software releases, with really different screenshots from the ones existing on IBM platform. The discussions refers to code samples different from the ones available for download (flow2.js) and to applications present on the IBM Bluemix platform, without explaining where to found or how to create them. All these discrepancies make really difficult to follow the course. LBNL, the speaker is one of the most boring ever encountered in a webinar, barely able to read in english language. Being a course organized by IBM for such an important topic as Watson, I expected a much higher level of quality. I hope that the IBM staff will be able to perform a deep review of this series of course.
par Dipro M•
Jul 18, 2019
Nice for a basic introduction. I really got to know a lot about the basics of 'data' and spark applications. However, the exercises and assignments seemed a bit too simple. Also could do with a few more extra readings.
par ujjwal k g•
Jul 16, 2019
good one to start
par Ted H•
Jul 15, 2019
A really good introduction to Apache Spark. The course has been changed around a lot to conform with the latest syntax and to make it easier to get to work with data. Many of the videos still refer to the old syntax but the examples have all been brought up to date. Students no longer need to generate their own data (with node-Red) but can immediately get to work on pre-generated data. All this change has made some parts of the course a little confusing, but a little perseverance will overcome these problems.
par Mario E R T•
Jul 14, 2019
Need more exercises related to wrangling data and manipulating SQL's with apache spark
par Jan C•
Jul 10, 2019
Simply not on the same level as other ML Courses on Coursera. Programming assignments don't require you to do much by yourself. The bits you have to write, you have to guess from function names (no task description or anything is given).
par Qian L•
Jul 06, 2019
If there was negative score, I wouldn't even hesitate to give that to this course. I understand coursera is actually trying to do good to the society and change the way education works in the past. But bad UI won't get you any further. About this course, I don't know why this Romeo guy is allowed to teach here. Extremely unusable tutorials, extremely bad organization of the the materials, extremely bad accent, extremely unusable IBM cloud service, extremely outdated tutorial for environment setup, and you name it. This guy can't even articulate himself. Please stop doing this to the user since now coursera started charging subscription fees. If there is even no quality control and this kinda of bad actor is allowed here, what is the difference between coursera and traditional college? Just go to the forum and discussion session of this course and look at the complaints over there. You don't even need to search for complaints since they are there on the surface. Shame on you.
par Cesar R•
Jul 06, 2019
Very basic lessons. Definitely what you would expect from an Advanced course.
par shubham k g•
Jul 04, 2019
Nice but details are not discussed properly only taking names wasnt enough
par yu m c•
Jul 04, 2019
Corrupted assignment, you will never pass assignment 2 as the assignment checker was corrupted. so disappointed. in fact nice lecture and tutor and videos.
par Prasad N•
Jun 28, 2019
worse guidance and pathetic support - shame on COURSERA and instructors for this horrible situation. Have wasted enormous productive time on this
par Yue B•
Jun 28, 2019
comprehensive and basic
par Ozge Y•
Jun 23, 2019
I find it unacceptable that the grader still had the same old problems from months ago. Adding notes directly to the python notebooks is not that difficult. #Return 4 significant digits, etc.
Plus, the grader output is not always useful. I execute the function in the python notebook, for whatever reason it does not fail, it works. The grader is more sensitive as it should be but it would be more meaningful at least it mentioned which line it has failed or which cell or which function.
The quizes during the videos seems a bit too random. I expect, if you are interrupting a video, you would be asking a question whose answer would be relevant for the later part of the video. Those pop-ups feels like unannounced midterm exams. There is already a full quiz section for this.
Perhaps my expectations were too high for this course.
par Nhan T N•
Jun 21, 2019
The instruction is not so clear. Many mistake launch and grader does not run to score your submission.
par Roozbeh G•
Jun 20, 2019
Well-taught course in an extremely important and sought-after data science field.
par Christian M•
Jun 20, 2019
It's an excellent course for anybody who wants to learn the basic of Spark, Watson Studio, and data analysis. It's also a good reminder for anybody well acquainted to the subject and want to know how to deal with it in Watson Studio
par Dmytro T•
Jun 18, 2019
Cool as for first benchmark. But a bit a lot of IBM tools)