MediaFanatic
Thank you for the reply and the feedback.
I have started with learning Python, almost finished the book Starting Out with Python 5th Edition by Tony Gaddis, It has 14 chapters, and I think I have finished chapter 10.
I took a break, will return to finish it soon, I'm also waiting for the book "Introduction to Python Programming and Data Structures Global Edition" by Daniel Liang which will be released on may, although one book might seems enough, but Daniel Liang is one of the best authors in programming languages field.
And I'm one of those who like the style of College Textbooks, doing lots of exercises is the best part to master the topic.
My main goal right now to master math for data science, although I know tow very well written books about the topic, one by Manning Publication
[Login to see the link]
And the other one is buy O'Reilly which is on the early release stage
[Login to see the link]
I prefer reading College textbook specified in specific topic each.
For Calculus I have chosen Calculus Early Transcendentals by James Stewart
[Login to see the link]
For Linear Algebra I have chosen Linear Algebra and its Applications 6th Edition
[Login to see the link]
For database I have chosen Learning SQL: Generate, Manipulate, and Retrieve Data, 3rd Edition
[Login to see the link]
and Database System Concepts, 7th Edition
[Login to see the link]
Not to forget for R language the choice is always R for Data Science
[Login to see the link]
After I'm done with these books there are long list starting with Data Science from Scratch: First Principles with Python, 2nd Edition
[Login to see the link]
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
[Login to see the link]
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition
[Login to see the link]
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2nd Edition is available, 3rd Edition is on the Early release stage
[Login to see the link]
Python Data Science Handbook, 2nd Edition
[Login to see the link]
And there are really lots of excellent books about Machine Learning and Deep learning or Data Science in general, I don't want to overflow my shelf 🙂
That is why my plan right now to focus on Statistics, then Linear Algebra, and Calculus.
I have studied those maths at college, but need a refresh and learn them the right way.
After maths will return to Python, then R, and Database.
Finally will start to look at books for Data Science, Machine Learning, and Deep Learning.