Apr 19, 2019
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.
May 5, 2020
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.
By Nicole L•
Oct 4, 2020
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.
By Leandro P•
Oct 9, 2020
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.
By Eduardo N d S S•
Oct 4, 2022
This module required a lot of effort and dedication in studies. It was very gratifying to complete it. Particularly, I will have to study the topic of this module a lot. I can say that this module deserves a separate course. Thank you to everyone who helped me along this path.
By Benjamin S•
Jan 17, 2020
The course teaches an incredible amount of information in a relatively short time. The downside to this is that users don't get enough practice within the course on the data analysis methods and functions taught. Additionally, there are a lot of typos that need to be fixed.
By Sarkis S•
Jun 20, 2022
Course was very useful and helpful. However, there are so much new and complex information being introduced in just one 4-6 minute videos, which can be difficult to understand, and may require to watch the same videos over and over, as well as alot of practice to be done.
By Brett H•
Aug 3, 2020
I think the breadth of content in the course was a bit too wide. More modules, and Python content, focused on exploratory data analysis could've been expounded upon, instead of so quickly moving into predictive analytics. Nonetheless, I did gain value from the course.
By Mukul B•
Nov 9, 2018
This module is loaded with concepts. Even though they are introduced in a logical sequence, it gets a little overbearing and tend to lose the relevance in the context of car price prediction. At least, now I am aware of the techniques, methods and python's capability.
By Luis O L E F•
Nov 14, 2019
Good introductory course. Even though it is an introduction, the course would benefit a lot from including a bit more of theory, even as optional material. For example, including theory about ridge regression, instead of just mentioning how to implement it in Python.
By Miguel C V•
Jun 21, 2020
It is a great course. The one thing I believe could be better, is to deepen the scope of the mathematical concepts. Indeed, it is a course that assumes knowledge in that area, but it would be great to include links to papers or articles that explain those concepts.
By Venkata S S G•
Jan 28, 2020
Content was decent. Do ungraded labs provided as practice exercises if you want much exposure and and free flow of code while using the data analysis libraries. Overall, the course is helpful for an intro and intermediate level. Will definitely work as a refresher.
By Juan V P•
Apr 16, 2019
I think that you missed more detailed explanations on how to analyze the results, especially for those of us who are not mathematicians or with advanced knowledge of statistics. But, is a fact that In the end it was the course i've enjoyed the most. This is awesome
By Beylard P•
Mar 25, 2020
Great notebooks and clear content except two points :
1 - polynomial regression and pipelines have not been enough thorough and detailed. Quite complicated to aprehend
2 - final assignment question 8 - nothing to do. answers were already in the downloaded notebook
By Vera C•
Sep 11, 2019
The course is quite challenging for me as a beginner of using python to perform linear/non-linear model development. It is good in terms of the plenty of content for people to learn but it is quite hard also as it would be better to have more practice / examples.
By Piyush J•
Jan 27, 2020
This course teaches you important python liabraries like pandas, scikit-learn. It also provides information about regression and helps us to build a model for a given case. Overall its very nice course for getting idea about how to do Data Analysis using Python
By Anton V•
Jan 15, 2019
I think this is a decent course that introduces data analysis on a basic level. The first 3 weeks were really well written, the last 2 weeks have some faults in them though, like values referred in the text which does not match with values written in the code
By Jessie J•
Mar 6, 2020
Very good introductory course on data analysis using Python! It is best for people who already had some level of analytics experiences before as it sometimes goes a little bit fast. But very good in general, covers a wide range of topic, with good exercises.
By Avish J•
Dec 15, 2019
Good to start with, this course provide you with the step involved in Data analytics but no logic behind these steps are provided. If you are new to python library this course will be helpful for you as it involve use of pandas, Scikit, Scipy and matplotlib.
By Bernardo N B C F•
Jul 2, 2019
Really enjoyed the Labs, specially the last ones that were long and covered a lot of material in depth. I think the course would have a better user experience if it wasn't for the many spelling mistakes and small bugs, specially in the Jupyter notebook Labs.
By Zayani M•
Dec 11, 2018
Toughest course so far. I liked being able to visually see the statistics behind data analysis, which was much more helpful than the textbooks I had to use to earn my math degree! However, the final week was still a challenge to get through and understand.
By Tracey C•
Feb 11, 2021
I liked the structure and pace of this course. The videos and exercises were helpful and the final project was a very good measure of what we had done in the course. I took off a star because there were more typos in this course than some of the others.
By Lakshmi h•
Jul 9, 2020
There should be an Handicap assistance in the course as some of the visually impaired people are finding it difficult to read the assignment codes with their screen reader nvda.
The assignment notebooks code settings need to be modified to support this.
By Dean E B•
May 28, 2021
Covers lots of materials. Lab is at end of each week, but I did better following along with coding during each lesson, A good framework, but with a lot of jumps and not much depth. With additional studying from other sources, I got a lot of knowledge.
By Whale M J•
Sep 2, 2020
A lot of concepts are packed into this little course. The course materials are a bit too concise for the concepts to be elaborated properly, so I need to search a lot extra online for concepts behind. But in general, they can be used a starting point.
By Antas J•
Jan 8, 2020
the course was great and informative, however the pace and information in this course is not sufficient for a person who is new to the python libraries and analytical features, if i may add MSE and R^2 and plots are still not so much understood by me.
By Aylin G•
Jan 2, 2020
Some questions in the peer-graded assignment are not clear and answer box of some questions are not visible so I could not get any point from them. You should better check the contents of the tutorial and make sure that there is no technical issues.