data-science VS PythonDataScienceHandbook

Look into MIT opencourseware — eg https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/. Or try a Google search "site:github.com data analysis full course"; this from OSSU seems good https://github.com/ossu/data-science. There are tons of free CS/data courses out there and there's no need to pay. You can go through the whole undergrad CS curriculum online free. Of all high paying industries, tech is by far the easiest to self-teach for free. You DM if you're not able to find something that works for you and we can discuss.

I would recommend you to check out the Data Scientist study plan made by OSSU (https://github.com/ossu/data-science), it is literally the Data Science career but with free resources, including Coursera courses.

Path to a free self-taught education in Data Science

I'm a CS student from a third world country and I'm really interested in Data Science. Biggest issue is that my univeristy is bullshit. Zero serious work. I'm still taking classes only because of that degree that I can put one day on my CV. Exams are on middle school level and with just a tiny bit of knoweledge you can pass easily. I started learning some coding online from CS50 and I became really interested in Data Science/ML. I was looking for roadmaps and this one looks really good to me to go with. OSSU - DATA SCIENCE

Not a tutor but here’s a good resource to aid you in your journey, best of luck

She can run through this to see if data is the right field for her, before sinking money into it: https://github.com/ossu/data-science

Just to add a resource na u might want to look into. Kumpleto na. https://github.com/ossu/data-science or https://github.com/ossu/computer-science

Python Data Science Handbook

Python Data Science Handbook — learn to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools to effectively store, manipulate, and gain insight from data

I don't know what tools you will be using but if you will be using Python you can start with Python Data Science Handbook by Jake VanderPlas and Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataData Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data which gives a very good outlook on the data science and big data frame work. PS: Jake's book is also available as jupyter notebooks so you can read and run the code at the same time.

Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)

Otherwise you can work through courses on Datacamp, Coursera, Udemy, etc, or check out this book for a more general non-spatial perspective.

7. Data Science Handbook Are you looking for a comprehensive guide to data science with Python? Look no further than the Data Science Handbook by Jake VanderPlas. This repository contains the entire book, which introduces essential tools and techniques used in data science, including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It’s a fantastic resource for anyone looking to deepen their understanding of data science concepts and best practices.

I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/