Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2026] (Udemy.com)

The in person (not cartoon) Is excellent Add perhaps video for public.tableau.com, doesn't match the desktop version. I didn't want to install desktop app due to trial version. Did Sandbox to not influence my machine, eventually, but Tableau updated doesn't match video. Same with gretl - Has Odds Ratio build in, in newer version. Excel in Spanish was interesting :-P Some of the Stats, I remember from 20 years back in university, perhaps have refresher course with many examples, not terms more maths. The terms were excellent but can't remember all the mathematics.

The course gave me a good idea of Data Science. I think the course outlines the different components of Data Science and I can say now that I am more clear as what pathway I want to go. I would say the course is too long for someone who is not committed to stick around for long tutorials.

Overall, it is a great course to warm-up in the world of data science. The course is very well structured - ETL, model, visualization and presentation. The instruction have great practical knowledge on the material. Maybe I had higher expectation of the course since it is named "A-Z", although I felt that "Applied data science" or "Practical data science foundations" would be a better suited title. In summary, good introductory course into data science. P.S I am taking A-Z Machine learning next from Krill, so hopefully it will cover the gaps!

An intensive hands-on data science course that teaches you all real-world scenario in data cleaning, mining, wrangling, visualization as well handling various errors that can be occurred during your data preparation. The instructor is definitely knowledgeable and willing to go an extra mile to show his generous understanding and experience in data science field. The hands-on exercises are extremely intensive that will bring us to the sufficient confidence level you can use for your data science career and journey. Two thumbs up for SuperDataScience team and Kirill. Keep going in providing excellent teaching courses and materials in analytics field. Thanks!

Instructor is excellent, material looks completely relevant to my current problem. the material continues to grow in technique and importance. The logistic regression section is particularly useful for my work, and provided techniques I was looking for. The extensive concentration on ETL using tricks and methods in Excel, VS, & SQL was a terrific tour of ways to add precision to the data wrangling problem. Thanks for all the help.

Good variety of topics and example/homework problems to practice one's self. A bit slow at times and could benefit from referencing other data analysis approaches, software packages etc. to give us better understanding of overall field and programming learning to pursue afterwards.

Good course ! Will give you a good understanding of various components involved in data science and help you connect the dots between these components - data preparation, analysis, visualization & communication. Bonus presentation at the end will give you a quick glimpse on the value that data science can impart in real-life scenarios. Suggestion : To include more real-life examples like the bonus lecture in end. It will help to comprehend how data science can help to better real-world problems.

Probably the best $10 I have ever spent from an educational standpoint. I feel more confident about how/what data science truly is. I really enjoyed the content and I will pursue more classes with hopes of building stronger data science skills. Diving into R or Python head first initially just made me dislike the topic since it was hard for me to grasp the concepts...I should have started with this first back in 2015.

It has been a great learning curve. I understood most things Kirill taught ( the question is do I remember them? hahaha!) Jokes apart, I honestly think he did a very good job at explaning all concepts particularly the tough mathematical/statistical contents. Well done! Kirill. I will be rewatching some of the videos again to refresh my memory. Overall it's great value for money! Thanks Kirill for sharing your knowledge.

An absolutely great course. I'm new to learning about Data Science and Kirill's explanation really is step-by-step and makes no assumptions about what you should know. He explains why each action is done and how it applies to the real world. By the time you finish this course, you'll really feel much more capable in analyzing data.