2026 Python Data Analysis & Visualization Masterclass (Udemy.com)

Very good course. there's something really great about the way Colt teaches. It doesn't feels like you're in a pre-recorded video course, it literally feels like the teacher is talking to you and the course is specially made for you. Definitely a 5 star course! Just one suggestion, it would be great if the course contains one more section with a capstone project which solves a real world problem using data analysis. I guess it can still be added in the future.

Colt is a great teacher. His videos are short and straight to the point with some of his humor thrown in. This course is best for anyone who wants to use their python knowledge in the world of Data Science and Data Analysis. His first 15 sections are really good. The exercises are very helpful to hammer home the concepts taught in the videos. After section 16, we are on our own on practicing what was taught. His final section should have had a conclusion video where he could shared his parting thoughts or advice to people on what to do next any suggestions would have been helpful. Overall good course.

Colt is a phenomenal teacher and presents the material in this course very effectively. However, as others have said the course appears to be incomplete, as some sections are missing quizzes and the end of the course appears to be missing at least one lesson. However, even with these drawbacks it remains a great course.

I don't know what is expected from the student as the examples are being executed during the pre-recorded videos. Should students be fully focused on the lecture and observe the lecturer as the examples are being executed, or following along and attempting to replicate each example. Also, and more importantly, I found the exercises provided in each section very useful, however, post-section 15, there were none provided. That was very disappointing.

The course is very good as all Colt's courses. If you want to learn fast and grasp understanding of this subject I definitely recommend this course as starting one. Unfortunately there are serious cons that is why 4 stars. Cons: No support and I mean zero support. Unlike other Colt's courses in this one no one answering questions some from year ago. Needless to say any of my questions were answered from Colt or his stuff. Unfulfilled promises. Like promised numpy section year ago still not there. And more that I won't write here, but you can find out in a comments. Last third of the course is rushed, incomplete and with no exercises. No final exercise. Conclusion: I expected from Colt the same support and quality as in his other courses but this one didn't deliver. Overall the course is very good but it is not final product. Last third needs some work. But I would still buy it as a starter course.

Great course overall! Learned some very valuable concepts that were otherwise difficult to understand. I've enrolled in a lot of online python courses and experienced different teaching methods but Colt's approach to tutoring is by far one of the best so far. His methods are engaging and comprehensive so that even the least experienced programmer is able to keep up. I will definitely be enrolling into more of his online courses in the foreseeable future. Cheers to you, Colt. You truly are an amazing teacher.

Typical awesome Colt-style class. Clear, short lesson, with funny, superficial applications. Few recommendations: 1. Projects. I would really appreciate this for skills/resume-building. 2.The last 6 or 7 sections had no assignments. This was a let-down for me. Usually Colt has a quick lesson, with an immediate assignment to make sure you have the concept down. It was hard to cement my learning. 3. The overlap graphing between matplotlib and pandas was terribly boring. Not sure if there is room for improvement here. 4. A cheatsheet of types of plots for seaborn, based on datatypes (categorical/numeric), (range, density). This would have been a winner. I am too lazy to make it myself. 5. Updates-- Plotly/Dash/Chatgpt. Also, I would appreciate if Colt would move introduce a machine learning class. Numpy, scilearn,pytorch,tensor.

This is a great course to learn how to use Jupyter notebook, pandas, matplotlib and seaborn. There is enough content to get you started with looking at data from csv formats, which is what I needed to do. This is just a data visualisation course, so there are no stats or data science topics in it. Also it does not cover numpy. In summary, this course does teach the basics of data visualisation using pandas/jupyter notebook very well.

This course is one of the best experiences I had at the Udemy. The course is very well-structured. The idea of combining each data frame manipulation syntax introduction and plotting as early as possible is genius! The way it's organized helps me to understand the concept of image plotting from the given library. Following the lecture completion, I have a clear understanding of how each library (pandas, matplotlib, seaborn) works, how to use each library's strength to serve my purpose and how to manipulate pandas data frame in unlimited ways to feed the library. The only regret I had after completing the course is for not finding this course much, much earlier. I hope this course gets a justice rating, becoming a best seller so that many students come to this (right) place. I am not a bot, I am a real person, I don't know Mr. Colt in person. The only way I can offer my help to other fellow students and express my gratitude to the instructor; is by offering my honest review. Do not repeat my mistake, I should have submitted to this course earlier! =D

Just finished the course and as always, the course presented by Colt Steele are excellent. Colt Steele is simply one of the best instructors on the Internet for this type of subject material. The course was well structured, well organized and well presented - very professional. I would just add one comment which was discussed within the course, perhaps add a view lessons to introduce 'numby.' Not a critical necessity but it would be been complimentary to the course material. Thank you Colt Steels for another wonderful course. Regards.