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.
By 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.
By 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
By 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.
By 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.
By 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
By Brendan J M•
Nov 05, 2018
The final project should have had more guidance and instructions in order to complete in a timely manner.
By Mark C•
Feb 04, 2020
The final assignment is impossible to do due to lack of information. Where is the database?
By Charles O•
Apr 23, 2019
Not very good, course materials do not match final project deliverables.
By piyush g•
Dec 17, 2018
lacks rigor and the assignments were way tooo easy....!! thumbs down!!
By Raaj M•
Nov 05, 2018
the last test to pass course nothing is taught about it
By Harshit D•
Jan 26, 2019
Vague assignments- almost everyone gets stuck.
By Ines H R•
Apr 27, 2019
The last assignment is very bad explain
May 09, 2019
Final Assignment is very confusing
By 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.
By 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.)
By 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.
By 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.
By Rounak K•
Jun 22, 2020
This is a good module for beginners in Python like myself. Great amount of examples and functions in the module which if practiced a few times will help understand them completely. I felt there would be no use in just rushing through the entire module and took time as scheduled and practiced the functions every now and then to get a better grasp.
May be the last bit on APIs was a difficult and the "nba_api" by Swar Patel was a bit sudden and I got lost.
But the final assignment was just perfect to understand my knowledge on the module.
By Xiaowei Z•
Apr 30, 2020
The course is systematically developed and clearly delivered. Through this course, I enriched my knowledge on the basic grammar of Python and acquired a new skills, just running towards my goal to be an outstanding Data Analyst. I will continue with the rest 3 courses included in the program Applied Data Science powered by IBM , with a strong belief that more values and competences could be added on myself after the completion of this program. Keep on moving forward!
By Renee W•
Jun 27, 2019
This is the first time programming has made sense to me. The format and explanations simplified the material into understandable chunks. There were times a lot of concepts were reviewed at once without a lot of background (when and why would one use a list versus a dictionary versus etc., what on earth are 1 and 2 dimensional numpys for), but the final assignment did much to combine most of the material into a practical use example. Looking forward to learning more.
By Kumar S•
Sep 16, 2019
This course was very helpful for me to understand all the basic concepts in python. I learned how to code in Python programming language. It covered the portions of the course content very well. Now i can analyze the data, can make a dashboard any many more things I learned here in this courses and thanks again to COURSERA for accepting my financial aid application. I was unable to pay. But now with support I've completed my course and learned a lot.
By Rohit B•
Apr 09, 2020
This is an excellent introductory course to Python and key libraries. Just what I was looking for! I found the exercises to be fun and helpful in revising my learnings.
Compared to the first 4 courses in the IBM data sciene certification, there is definitely a lot more meat to the bone here. So be prepared for a steep learning curve if you decide to complete the course in a single stretch, even if you have a prior programming background.
By Robinson P P•
Apr 28, 2020
Excellent Course. The lab session helps to understand the concept in details. Jupyter Notebook knowledge will help in a practical session. Speech to Text example through IBM Watson indeed gives the basic understanding of cloud computing and API. Much more examples can be added. Introduction to data writing/saving through pandas' library and analysis, help to dive in the Data Science world.
thank you for such a wonderful course.
Apr 16, 2020
My heartfelt thanks to the course era team & IBM team by providing such huge opportunity to learn the Python by simple video explanation and continued with practice method. definitely this learnings will take me into next level of my career. After completing this course i completely admired about your team efforts by the way of syllabus framing and simple video learning cum quiz approach, Cloud practices.
By Kostyantyn B•
May 05, 2019
Very intensive course with lots of new and essential information for newbies in Python. Gives if not enough knowledge to start (which is hardly achievable within short course) but gives enough understanding of direction where to search and how to do things. Final assignment appeared not to be clean and straightforward but all my questions were answered in forum (hence I suppose it was not unclear not for me only). Good luck!