May 17, 2020
The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.
Nov 18, 2019
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
por Andrea M•
Sep 07, 2019
Lot's of good content. But the labs are very superficial and they just repeat what shown in the videos. The quizzes are too easy and they do not push you to actually apply what you learned. The final assignment was ridiculous. Just using Pandas to import some data, nothing more, no loops, no if statements, no analysis of the data. Continuing being quite dissatisfied with this certificate.
por Yuval S•
Aug 01, 2019
This course was not well designed. It needs intensive editing and rewriting.
The author emphasize the use of IBM cloud products, but the course needs to elaborate in this area if this is the desired target.
Not enough explanations were dedicated to the Python language itself. To succeed you must know some Python before you learn the course, or learn during the course from other sources.
por Ahmed A•
Jul 28, 2020
Bad videos.. Many methods and functions in the lab are not explained in the videos
To complete this course I spent most of my time reading documentations and searching to understand what is said as there is no enough explanation or even resources to read from.
(Maybe this method suits you but I didn't like it)
por Jacob M•
Jun 09, 2019
This course is awful. The information is pretty basic and really doesn't teach you python at all. At the end of the course they hand you an assignment with coding that is way over your head and when it error's out you don't know how to solve the issue.
por Shamoon T•
Apr 28, 2019
so many issues with Watson STudio and IBM storage. No help from the instructors or Coursera! wasted so much time on finding solutions . Please go to threads and you would get to know every student was facing the same issue
por Yaniv R•
Apr 25, 2020
The exercises were few and mainly required copy-paste instead of understanding. Also, the course was full of ads for IBM. Finally, there were spelling mistakes throughout the text, which is just unprofessional.
por Jan D•
Oct 05, 2018
Don't take it. No Course Instructors, no help. Not worth the money...
Even the Working Platform is always timing out or has a gateway error.
por ronald w•
May 14, 2020
Week 5 final project SUCKED .. searching forums for 3 days with a URL that works ubtil it gets to 99% and fails. Really poor
por Alessandra C•
Apr 21, 2019
Too fast paced, not very in-depth. Final project is full of spelling mistakes and not coherent with the course. Terrible.
por Sean G•
Apr 24, 2019
This course is terrible - multiple typos, no support. Final project makes no sense. A total waste of time and money
por Brendan J M•
Nov 05, 2018
The final project should have had more guidance and instructions in order to complete in a timely manner.
por Mark C•
Feb 04, 2020
The final assignment is impossible to do due to lack of information. Where is the database?
por Charles O•
Apr 23, 2019
Not very good, course materials do not match final project deliverables.
por piyush g•
Dec 17, 2018
lacks rigor and the assignments were way tooo easy....!! thumbs down!!
por Lee R•
Jul 12, 2020
I just paid money to let IBM market their cloud services to me.
por Raaj M•
Nov 05, 2018
the last test to pass course nothing is taught about it
por Harshit D•
Jan 26, 2019
Vague assignments- almost everyone gets stuck.
por Ines H R•
Apr 27, 2019
The last assignment is very bad explain
May 09, 2019
Final Assignment is very confusing
por Anthony N G•
Oct 04, 2019
This course was a perfect introduction to python for data science. I already have a B.S. in political science which required a few semesters of statistics. We mainly used Excel and SPSS. I wish I had taken a course like this because I’ll say that I much prefer Python to SPSS and Excel. I find Python more functional but far less user friendly. What helped a lot here was that I have a background in windows and pc hardware. I also have a little experience with Linux and .bash scripting. I’ll admit, this course would have been much more difficult without the computer knowledge I already had.
I’m currently working full-time trouble shooting large 3D printers 40 hours a week. I’ve been pondering what to go to graduate school for. This course has helped with that decision. I’m leaning toward a masters in the applied data science.
I plan on taking the other data science and applied data science courses on Coursera as well. Any and all continued learning I can get will be valuable.
What was most challenging? Learning the syntax and structure of the python language. I’m still learning it and it’s going to take quite a lot of effort to master it. Attention to detail is an absolute must in programming or coding—albeit a short script or manipulating a data set.
Also, I found that the Anaconda suite was the best choice to complete the course. It was a little more user friendly than the bare-bones IDLE/Python combination.
por Courtney B•
Dec 04, 2018
I was a complete newbie to Python, and coding in general, and this course made it easy for even a beginner like me to understand. I would honestly love to take an extended version of this course. That said, I have recommendations for improvement:
1) the labs didn't really make you think terribly hard about how to solve the questions, and I would have loved more complex lab work, especially because of the next point...
2) The complexity of the final project basically skyrockets from the rest of the course work. I feel like an extra week or two of going over the additional knowledge necessary to really succeed in the final project without major struggle would help tremendously. Conceptually, it seemed like it should be REALLY easy... if only I had a little more applicable practice work under my belt before hand. (I finished it successfully, but it was a bigger struggle than it perhaps should have been. I think many other people are in the same boat.)
por Whea L•
Aug 24, 2020
This action-pack course is exactly what I am looking for. It's down-to-earth and practical. Instructors explain with videos once, then you get walk through in the labs, like a step by step guide.
The videos are of bitesize length so it's easier to concentrate on the concepts., and followed by quizzes that ask only the essentials. i love the part that i can experiment with the code myself after researching the concepts further on the internet.
It may be pretty demanding for complete beginners because each concept is introduced very succinctly, so if you have no clue with python at all, i think you need to research extra a lot in order to understand the concept. There are also a few minor typos which may affect the understanding, just really minor ones like a becomes b while b becomes a, or some general english typos.
Perfect for those who want to get a taste immediately what data science looks like, like myself.
por Paul A•
Sep 24, 2020
The courses on the Applied Data Science specialization will spoil Coursera for you. I tried the Applied Data Science specialization out of curiosity; and quite frankly, I was happily surprised by quality. I really enjoyed the narrator and the amount of work put into the slides. They are effective at getting the point across and the course content gives you exactly what you need to succeed on the tasks at the end; granted, you have to put in some work, but overall is quite manageable to an "advanced beginner" like me. I felt challenged but not overpowered by the content. I really can't say enough good things about the this specialization and this course.
por Daniyal A•
Oct 27, 2019
A highly recommended course for students/professionals who want to learn about Python Programming and its fundamentals. Your journey in this course starts by familiarizing yourself with Python Basics (Data Types, Expressions, Variables & Operations) in Module 1 and learning about Python Data Structures (Lists, Tuples, Sets & Dictionaries) in Module 2. Module 3 focuses on Programming Fundamentals (Conditions, Branching, Functions, Objects & Classes), whereas Module 4 gives you a hands-on experience of working with Data in Python. As you reach the end, Module 5 tests your knowledge and skills through a Final Project.
por Wesley E B•
May 09, 2019
Great overview of Python. It's quite a useful quick brief explanation of how touples, lists, sets, dictionaries, classes, defining a function, file reading/writing, logic statements, data frames, single and two dimensional arrays and a few packages work. Honestly, most of it would probably be gibberish/hard to follow if one didn't already have a computer programming I and possibly computer programming II course from a college or university under their belt. I feel like these could have been way more graded assignments/quizzes applicable and easily-made.