NumPy Masterclass: Python on Data Science & Machine Learning (Udemy.com)

I still have some more sections left, I will be editing the comments once done ; as of now things got little slower as I reached linear algebra; I just realised I was hovering over topic without doing review of earlier topics; I Think reviewing the earlier section will confidence to complete the exercise. I have learned new things, and even though the number of hours of the course is not that much but the exercise completion takes some time. I will be revisiting the review later

I spent far more time than the course hours required to complete this course. The course is well-designed, covering commonly used NumPy functions and precautions. The quizzes and exercises are interesting and closely related to real-world data processing applications. However, the explanations weren't in-depth. I followed the videos and entered the functions, but I had no idea what they were for and had to stop and search for them. Also, the two instructors had different coding styles and constantly switched, forcing me to adapt to their styles.

Very thoughtfully presented overview of NumPy (with a nice balance of depth vs. breadth), and great overall organization and execution. Excellent work, Eirik and Stine!

I have taken other Udemy classes that mentioned Numpy, but I needed a course to go into more detail on matrices, broadcasting, and the breadth of functions available in Numpy. Some of the other classes touch on Numpy on the way to Pandas. I completed this course over a weekend and found that it was just what I needed to better understand Numpy. Thank you!

Awesome experience! The course focused on teach math concepts that can be achieved using NumPy library without making assumptions on the students familiarity with either programming languages or mathematics in general. Everything was done on Jupyter notebooks so following along was very easy. Highly recommend!

I hoped it would be more in depth later in the course. Numpy has tons of methods that were not discussed in this course. In general, this course gives a good base, but I had just higher expectations.

Very good course, well organized and explained. Great content and helpful way of breaking down complex concepts into logical and simple to understand steps. Thank you!

The material was presented clearly with many good examples and exercises, and I appreciated the technique of alternating presenters during the course. HOWEVER: The course exercises should be revised with another data set to replace the Boston housing data set. The use of this data set has adverse ethical implications. In Python, it will be removed from scikit-learn for that reason. (See https://twitter.com/ogrisel/status/1442894248488046595).

I have only one expectation from a video course. Helping me reach my goal as soon as possible without struggling with documents or being sink into books, and doing it in a fun way without boring me. This course does just that. Thank you, you both very much deserve 5 stars.

It is well designed and easy to follow. Provides a lot of basic numpy functionality. The small projects at the end of each section are a nice way to practice the concepts. Highly recommended!