May 10, 2020
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
Mar 16, 2018
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
von Melissa C•
Feb 27, 2017
Very good introduction to Pandas Series and DataFrames for Data Science. Fast paced course with good supplementary materials. The homework is progressively challenging. Sophie the Teaching Assistant is particularly helpful in the forums. I don't recommend this course for those without programming or python scripting experience. Also, the homework exercises took me significantly longer than the estimates projected, but I budgeted about double the time and was able to complete the course on time.
von Alan E•
Nov 21, 2017
I love all the features that pandas and numpy have to make routine data cleaning tasks easy. They are so much easier to use than core python, require less code, and work faster. I love these methods (e.g. list comprehension, mapping lambda expressions across data frames, pandas datetime functions, read_csv, merge etc... the list goes on...). Thanks for the great tools. I've learned a lot of valuable techniques from this course, and have started using them at work already, to great benefit.
von Pieter J S M•
Jun 09, 2019
This course was very much helpful to understand Pandas as a Data Science tool. I started to understand the way you need to think, whenever you use Pandas. Especially the assignments were very good. A very small exception is the assignment in week 3, in which you have to clean your data frame. That was a bit too extensive, I think. I rather used that time and efforts to learn to apply more statistical methods.
But overall: this course exceeded my expectation and I am very much helped by it!
von Ajit S•
May 28, 2017
This is a very helpful course. The main advantage is that you will learn a lot of new ways to do operations over data. And this is an intermediary course that assumes that you already know about statistics, mathematics behind data. From my experience I want to tell that if you are taking this course don't just rely on the video this course provide (however videos gives you full context on the work that has to be done), you have to do your own research and reading from external sources too.
von Bala G•
Nov 21, 2016
This course was excellent...I first found the course odd since the instructor went through the material quite quickly in the lectures. It took me a while to figure out that the material was available as a course download. Once I found that it was easy to follow along with the instructor...need two monitors ideally for this to work. If you cannot step through the Jupyter notebook as the instructor goes through the material, you will be lost...and you will not get the most out of the class.
Feb 16, 2019
Awesome course for anyone looking to venture into the field of Data Science. The instructor puts forth various concepts lucidly and concisely without any irrelevant extraneous details. Beware though, if you are pursuing this for the sake of learning statistics, you might be disapppointed. The instructor adopts more of a tool-based approach teaching you pandas to solve your problems the way you want to. That said, kudos to Coursera and U Michigan for putting this course together.
von Kevin B•
Jun 16, 2019
Great course overall. I feel like the final output for run_ttest is incorrect though. There are two regions that belong in the university town buckets, but are missed due to capitalization differences, Illinois -DeKalb and Florida-DeLand. I made the region lowercase before merging and got (False, 0.011132653194002319, 'university town') as the output. When my grade came back as 5/10 I knew if I removed the cast to lowercase it would be correct. Thank you for everything!
von Derrick G•
Aug 13, 2019
There are plenty of how-to videos and tutorials on YouTube to get caught up on the basics, and there are lots of Data Science classes on coursera and other platforms that go deep into theory and stats. This is the first Data Science in Python class that I have found to strike a balance of practical and theoretical at an intro level.
The video and audio quality is great as well. Start here. Then move on to the deeper and more specific courses on stats or machine learning.
von Mastaneh r b•
Feb 06, 2020
I like this course!
If you have little experience in using python commands to work with data, go for this course!
Actually, it has assignments within which you learn a lot more that the videos. It has notebooks of the commands thaught in videos, that you can follow and return to when necessary.
There is a discussion forum that lets you see what answers are available for your questions.
Overall! I'm quiet happy I finished the first course!
Can't wait to start the next ^_^
von Paresh D•
Jun 11, 2019
Fantastic course.I have learned a lot.I really enjoyed playing with various data frames in the assignment.Discussion Forums were very useful.Special Thanx to Yusuf,who used to help me in clearing my doubts.The only thing with which I am dissatisfied is the teaching instructor.He has enough knowledge and is a genius,but his teaching style is mundane.I wish this course was taught by Dr.Chuck.I really like the way Dr.Chuck taught Python for Everybody specialization
von Abdul S•
Aug 21, 2017
One of the best courses I've attended in the Coursera. The programming assignments were tough. But I think in some assignments instructions were not clear or were not available at single place. Ideally all the instructions/hints etc should be placed inside the notebook for assignments.
Overall the course challenged my learning. And I needed to do lots of googling to look into stackoverflow, pandas documentation etc to reach the correct answers. Awesome course.
von Silvia P•
Apr 22, 2020
Wow! I've been looking for a solid course teaching me how to use Python applied to Data Science and not giving me only theoretical notions. I've struggled at times, but it's this struggle that let me master all the commands. When I felt stuck on a problem I would go in the Discussion section and read the post of my fellow course mates and I found helpful insights to apply in my code. I can't wait to go on with the whole Specialization! Keep up the good work!
von Yarema M•
May 26, 2020
This course has been excellent for helping me understand the core functionality of the NumPy and Pandas modules. The lectures are very detailed and implore you to delve deeper into the subject on your own. My favorites, though, were the end-of-week assignments. These let me assume the role of a real data scientist, digging in huge amounts of data to uncover the important details. Overall, this course is a great introduction to the study of Data Science.
von Shreyashi G•
Feb 12, 2019
This course is a high level and precise introduction to the python programming skills necessary for any data analysis exercise. It is adequately paced which is great for anyone who has some prior knowledge of python. The assignments are particularly challenging which I thoroughly enjoyed. The lectures would effectively introduce a concept and the assignment to follow would test the understanding thoroughly - a structure which in my opinion worked great!
von Zhao J•
Feb 25, 2017
It's a great course! The assignment is amazing! It takes me several hours or even one or two days to finish it. I have to say the assignment is really valuable. Professor Brook is also great and the video is greatly filmed. It's worth taking if you have already learned some of python and want to know more about python in data analysis. I have already learned the book Learn Python the Hard Way and played with python for a while before I take this course.
von Gustavo W•
Nov 19, 2016
Really good course BUT be prepared for a very fast pace of the lectures. I'd placed in the "advance beginner" or "intermediate low" level, therefore, you need to have previous knowledge of Python. As in College, lectures and assignments are somewhat related, but you will spend some additional time investigating by yourself to get the appropriate responses. Again, just like College where Lectures are level 2-3 but assignments are level 7-8 (out of 10).
von Jianjun Z•
Apr 12, 2020
The course is very good, but the assignment is a challenge for me. It took me a long time to finish my homework, but I learned a lot from it. Basically, the professor talked about the most important knowledge points, and the rest learned independently by extensively searching for information. I have learned a lot, but I am a bit worried about whether to choose the next course. After all, the time I can allocate to my studies is not that sufficient.
von Chirag R•
Jun 27, 2019
The course was pretty exhaustive and I felt like I learnt everything that this course intended to teach me. The assignments were pretty tough, given that I had no experience of Python before this, but that's down to me for not taking the "Python for Everyone" course, as recommended by our professor. A few more interactive and intermediate level problems could go a long way in making the course takers better skilled and equipped with Python.
von Joshua T C X•
Jun 11, 2019
This course is NOT for the those with zero experience in programming as it assumes some familiarity with concepts like object attributes, functions etc and requires you to spend some time reading up python/pandas documentation on your own. While I think that the professor could use simpler English to communicate more complicated concepts, overall it is a good course with good assignments that cover the key concepts required in data science.
von Zhenwei Z•
Feb 09, 2019
It's a great Course, covers a lot of stuff. It seems that the content allocation between lectures and homework is not well balanced. The lectures are quite short and fast, and the homework are heavy.
It would be great if the lectures can cover more details, especially the techniques that are used in homework. Also the if the homework can provide more instructions and descriptions and maybe some self-checking hints, it would be very helpful.
von Shabeeh B S•
Apr 15, 2020
Being a newbie to data science field and introduction to new libraries and logic this lab was indeed the most difficult that I have attended . To be honest I took more than the time required to complete the lab since I had to attend other classes on numpy and pandas distribution to get an baseline and now I still haven't perfected but have basic understanding but I believe I can put effort and bring out the best ! Thanks a lot Professor !
von Eunjae J•
Apr 23, 2017
Much harder than I thought. Very in-depth introductory learning of python.
Preferably better if you allow scripting in .py because notebook is rather heavy and hard to
debug while assignments..
Hope you cover a bit more in detail with language structure, as well as give hints for solving assignments, since many parts were pretty above course level.
I would say the assignments were hard even for an R practitioner learning python like myself.
von Mukesh K•
Nov 05, 2019
This is an excellent for those who want to learn python pandas. The course content is really good. The assignments are really helpful and they truly covers what is taught in the lectures. Had fun going through the video lectures and solving assignment. Though, in the last assignment 4, if a little bit of data description was added, it would have been good. Thanks for making the course and helping providing the content through Coursera.
Feb 05, 2017
This is very helpful course, my skills horned after undergoing through this sessions. My expertise and style of using python for data analysis changed. Articles and group discussions about P-hacking made me to realize the pitfalls, I may enter once I get addicted to proving my hypothesis correct. I got an idea, what better I can understand; when data speaks.
I am waiting for next module of this course. Please start it as possible.
May 02, 2020
Loved almost every bit about the course: the material, the learning pace, the instructor. One thing I would request is to update the python libraries in the assignment. In doing the assignments I came up with solutions which works on current library version but not for their old version. Had to explore old apis to complete those assignment which was kind of stressful especially for setting up the older python libraries locally.