I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
교육 기관: Jess M•
Covers a lot of content very quickly with not enough opportunities to practice using and applying the code. Having lots of quizzes is good for testing passive knowledge, but more active hands-on application in labs would be most welcome. Useful content, but I am going to go take an intro to Python course so that I can actually follow and use what is presented here.
교육 기관: Sanjay R•
The course videos were excellent! The final project did a good job in covering the course material. However, the support to the course was unacceptable. I never got a response to any of my questions after posting them twice and waiting for a day. I then just decided to submit my project without waiting for a response since I felt my wait will be in vain.
교육 기관: Jeremiah T•
This is a well organized class and consistent with the rest of the course series so far. One improvement could be to reinforce the concepts more such that we can create our own projects and decide what we need to do. At this point we're just performing methods for the class, but I don't yet feel comfortable starting my own project using these methods.
교육 기관: Benyaphorn P•
The overall modules were great. But a few comments, I think I am supposed to get more score for my final assignment. The reviewer did not grade me fairly, even though my answers were correct and matched the rubric. I do not seriously mind the issue. But to be honest, this is kinda annoying and your team should care about how to handle it.
교육 기관: Jaime A G P•
Es un curso introductorio, realmente no es complejo, solo se trata de entender las bases del análisis de datos. Sí, es cierto que los videos y los laboratorios tiene algunos errores (que si has pagado por el curso no serían aceptables en ningún momento). Es básicamente una introducción para saber como se trabajan en el análisis de datos.
교육 기관: Eugene T B•
Some of the course skates over pretty difficult information really quick and then gives you challenges that haven't really been that well explained, so some self-research is required. The assignments are also pretty copy/paste + modify a couple of variable names so you have to put in the effort to really get good value out of the course.
교육 기관: Anuradha B O•
The course is very interesting and concise, it has a very logical flow. The best parts about the course are quiz embedded in the lectures and detailed lab assignments. However, there are few errors in the lab and assignments, which need to be rectified. Otherwise, it would have been 5star from me. Thank You for desiging this course.
교육 기관: Megan•
Easy to understand and grasp for a beginner. Good refresher for those who have some basics of programming down. Typos in the reference codes here and there but no major problems. Other than that the Watson interface is alright to work with however there will be some lagging some times. I enjoyed the process of learning this course.
교육 기관: Ning C•
Clear structure and message delivering. I have learnt a lot from this course within a short time. Teaching assistants answer questions in each weeke's forum also with good clarity and patience. Although some mistakes, cannnot obscure the splendor of the jade. :) Looking forward to a better version after the improvement on typos.
교육 기관: Mats B F•
You can consider some more explanations on how the training and testing codes are linked together and what explicitly the Python codes does. This was the elements I struggled to understand. But this was the only part that also was new to me. All in all, the material was well explained and the course was very interesting.
교육 기관: José F M V•
I just have an issue with some minor bugs with the Coursera web app. I don't know if they are specific of this course or as a whole. For example, when clicking in next assignment sometimes it jumps two assignments. Or when you type too fast the system just writes the last letter. Other than that is pretty ok.
교육 기관: Jeff L•
great lectures and projects. on data analysis topic, IBM has chopped contents into many small courses, which make student confused and hard to find which one to take. IBM should consolidate them into 4 or 5 courses that are focused, heavy weighted, so that students can build rock solid knowledge and skills.
교육 기관: Roy v E•
The courses are very good to get familiar with Data Science and what it essentially is. I would have like practise examples with answers after each chapter to practise it in but that is just how I learn. Overall I learned a lot about new resources and how to do certain things in the Data Science world.
교육 기관: Ranjeeta R•
I liked the course. Highly recommended for someone who is looking for coding experience for data Analysis using python. Please practice the lab that will make you confident. Only thing which bothered me is the final assignment review. It was not correctly reviewed. I lost 4 marks. Hope this helps!
교육 기관: Joseph O•
a few discrepancies here and there, please see the comments in the discussions. Other than that, very good! This course was more difficult than the others, and so i guess this is why employers prefer potential employees hold a PhD, or at least maintain a high algebraic/calculus/statistical aptitude
교육 기관: sumit c•
The underlying basics of Data Analysis with Python were deeply conveyed. Simple examples and easy to operate commands were greatly described. I would suggest everyone take this course whether or not they know to code. It is always great fun to learn new concepts and Coursera makes it possible.
교육 기관: Susan A•
Some of the Regression-model and Plotting topics that were tested on the Peer-Graded Assignment should have gotten a little more time in the videos. The best solution to this would be to put the "Data Visualization with Python" course BEFORE this one, as it devotes more time to these topics.
교육 기관: John B•
Contained some simple grammatical errors, as well as some syntax typos in some of the modules. The most relevant thing I would criticize is the lack of depth with describing certain topics ion the modules as they can be very complex. I recommend studying the section notebooks thoroughly.
교육 기관: Michael K•
There is a lot to unpack in this course. If you have a statistics background, this may seem kind of trivial, but for the rest of us it is loaded with ways to view data. My only criticism would be that it sometimes skims across an advanced topic without really giving a general overview.
교육 기관: Irving B•
This course gives a very clear view of the tools used to find the best way to analyze data when looking for the best model to predict target values. The use of Jupyter Notebooks to run code for the data analysis is very useful and enables the student to experiment on his own for options.
교육 기관: yimingguo•
I have start this course without knowing any Python code. I made it through but with a lot of rock with all the code. like a For loop or simple Python code. I suggest to study basic Python code then start this course but this course did push me a lot on Python code learning with Youtube
교육 기관: Jurriaan A M•
Only 1 thing i miss in this course : some extra reading material because especially the last subjects here are a bit tricky to comprehend in full. Presentation overall is great, the labs are really helpfull as they are packed with excercises AND extra info. So yeah : take this course!
교육 기관: Lauren J•
This was a good course, but didn't have as much labwork as I would have liked. There were a lot of labs, but they were mostly already completed by the instructors - more of a read-along than actually doing work yourself. That said, it was a valuable course and don't regret taking it.
교육 기관: Nicole L•
This was a very challenging course. i don’t think I had any business choosing an intermediate level course because I have no experience in Data Analytics so I am a beginner. It was very interesting to see how statistics and math concepts were applied though and I did learn a lot.
교육 기관: Leandro P•
Great course to help us understand more about Python libraries. Just marked as 4 stars because I wish we had a better conclusion, showing us how to explain the charts and values to a meaningful insight for decision making. There could also be more dataset examples for training.