Complete Python & Data Science Course for Absolute Beginners (Udemy.com)

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I was looking for a beginners course, and this seems to the right place to begin.

It's scary to think that by following these instructional videos I can be equipped with the skills to program Python.

very self explanatory as I am taking up a career in data science and i have to run programs in python.

So far so good. Although I have some fundamental knowledge of Python I did learn something new about Google Colab with this lecture.

Good pace and I like the quizzes at the end of the sections. The projects really help develop an understanding of what you are working on without reading the descriptions of the reserved words.

Thank you for very interesting course. I think section of numpy should be added. Some sections should be updated. They are over four years old and use Python version 2. It will be nice to add reference with sort introduction of libraries used in the course.

This course does a great job of introducing Python and Data Science concepts; thus--giving enough understanding to propel one to learn more detailed theory to apply practical application toward Data Science application

Give real world and visual examples upfront at the very beginning. Examples of the code at work not just a named example in a bullet list. Say what is being typed: is it print left paren or print space left paren - this is probably only necessary for a one or two lessons

This course is described as being for "complete beginners". It is supposed to be designed for students who are completely new to Python and even programming in general. The instructor clearly has a great deal of knowledge in Python as well as other languages. Unfortunately, this seems to work against him in some cases, as he speeds through some topics that really need more discussion, almost seeming to forget that the student may not have ANY prior knowledge. For example, right from the start, I found myself wondering... - What is Google Colab? Never heard of it. Can you explain what it is and why you are choosing this environment? What other choices are there, or can I just use something like a general text editor? - How does Google Colab work? Can you describe the interface on at least a basic level? - Commenting? What does this do? I personally am familiar with commenting because I have been programming in HTML/CSS for years, but for those who are not, they just wasted a few seconds trying to figure out what you are doing and why. By the way, it looks like you are using a keyboard shortcut to comment quickly. Can you tell us what that shortcut is? - I got an error message when you didn't. Can you explain the anatomy of an error message so we know how to interpret it, especially when you have one appear on the screen. Since the content used to teach the fundamentals is being typed as part of the video (which is a good choice for a course like this), mistakes are going to happen, and that's a good thing because it illustrates what is going on, and a chance to re-emphasize why the code didn't work (whether intentional or not). However, please don't gloss over them, but rather explain why. We are typing with you and that first impression from an example that is actually incorrect needs to be addressed quickly. The instructor does give a lot of examples, but unfortunately they are not always consistent. Game references are good since we can likely relate to them, but pick an environment and stick with it so we can build on it. I realize licensing and copyright may present an issue to using a direct reference to something most of us know (Nintendo Mario games), but it would be easier to follow if the fundamentals of the game example were established early in the course and then consistently referenced from there on.