Feb 6, 2023
The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.
Sep 28, 2021
This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
By Trianggoro W•
May 1, 2020
This course equips someone who knows programming with an into to data science, however you need to have experience in programming, otherwise take a more introductory course on Python programming before enrolling to this class.
By Ben F•
Dec 2, 2017
Requires a lot of independent learning and additional research to really be able to complete the assignments, but if you're willing to put in the work, it really accelerates your knowledge of the language and data manipulation
By Arnaud S•
Apr 12, 2019
Good course that gives you some basics of python while still forcing you to look up for answers online. However, course instructors really need to fix the few assignment issues that can make them very lengthy for no reason...
By Andrej K•
Feb 21, 2021
Really helpful. the course material is excellent and the assignments are just right for testing the material. although you could use a bit of a more straight forward communications in terms of how to bets tackle assignments.
By Manikant R•
May 4, 2020
Data science is itself a very broad topic, In this course, they have tried to get in touch with all basics of data science, TO BE HONEST, you will not get everything thought in this, you have to put your own hard work in it.
By Bhavya S•
Apr 26, 2020
Tougher than expected. Definitely requires one to have advanced programming skills. Assignments are a level higher than what is taught in the video. Not recommended for beginners but overall one of the better MOOCs out there
By Viraj M•
Apr 4, 2020
There is less focus on syntaxes which slows down the learning process as most people are still struggling with that. Other than that the course material and the instructor are very helpful. The grading system has some flaws.
By Toby P•
Nov 30, 2016
Completed the course and found it pretty good for the first run. Mostly focused on the Pandas library - you'll be ok if you know a bit of Python, or have experience in another language.
Looking forward to subsequent courses.
By Gregório P d O•
Jul 24, 2020
The course it's very good and I'm not giving 5 stars only because I think it is very fast paced. This could complicate the process of joining the pieces together and it's kind of a big leap from the videos to the exercises.
By suman k•
May 25, 2020
This is a good course for practical hands on data in python. Good learning on map, apply, groupby, merge, data slicing, subsetting data, datetime, bin. creation
Should include datatime & cut in the assignments.
By Massimiliano D H•
May 6, 2019
Great application of Python (really more about Pandas than Python) to data science applications. Course materials and instructors were helpful, though I do wish that the assignments were a bit clearer in their instructions.
By Leo S•
Sep 1, 2017
An extremely demanding course, especially on the coding exercises. Expect long stretch of time on Stack Overflow to look up codes and examples....
I almost give up on this one, but still managed to get through after 5 days!
By Jesús C•
Jun 3, 2017
Excellent introductory course to Pandas. Four stars because the pace of the videos are too fast and the assignments requires, sometimes, excesive individual learning. Hopefully the info found in the forums is very helpfull.
By Derek B•
Sep 1, 2022
Overall a very good course. Unfortunately, the instructions to some of the assignments are often confusing or simply wrong. Be sure to check out the discussion forums for clarification about what you are being asked to do.
By Shruti M•
Jun 6, 2018
You may need to brush up on some Stats concepts if you havent used them before. The assignments are sufficiently challenging, even if you have a programming background. Overall a good course to get started on Data Science.
By Jaswant G•
May 24, 2020
Theory covered is minimal compared to the level of assisgnments, but i feel assignments are the best part of the course. To complete the asignments you need to explore a lot on your own and learn a lot too in the process.
By DHAVAL H R•
May 23, 2020
Very good course to start with data science with python. Only thing you need is statistics background knowledge to better understand week-4 contents. But author has provided with reference to a free pdf book for the same.
By Aria B•
Jun 20, 2019
The course is useful and I learned interesting techniques. It was just a bit too short in my opinion. I also think there could be more examples to show the best practices of using Numpy, SciPy, and Python in data science.
By Yash B P•
May 29, 2020
This course provides a brief overview of what data science has to offer. Professor Brooks has a great command of the concept of data science. I found the course assistant a little difficult to follow with and comprehend.
By Mark H•
Jan 11, 2018
The interactive python notebooks and the programming assignments are excellent. The course loses a star for the incredibly fast pacing of the lectures, and the off topic data science assignments.
Still highly recommended.
By Ben G•
Aug 12, 2022
The content is excellent (useful material and instructive assignments). I would have given it a 5 if I hadn't wasted a lot of time on mistakes/ambiguities in the assignment instructions, autograder rounding errors, etc.
By VICTOR A•
Mar 18, 2021
pretty tough even though i've been playing with Pandas in the past. But learnt many new techniques. assignments are challenging. It takes more time than what is written. I spent between 16 to 24h on each assignement...!
Feb 28, 2020
The staffs are very good at making difficult key points clear and this is a very good course for data science starters. But the auto grader is not good, sometimes I have to debug not for my code but for the auto grader.
By Martin J•
Aug 27, 2017
Good base material on data science. Not the best python course. Directions were lax during the programming and I stumbled around until I found the formulas they were looking for. Not the best direction on assignments.
By Jiao G•
Jan 28, 2021
Assignments are too difficult，cause if you don't use some special functions like extract（），you will have to stack lots of iterations···but some skills and functions used in assignments are not mentioned in the lecture.