10 Weeks, 20 Lessons, Data Science for All!

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, explore these resources to deepen your knowledge and skills.

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

Set of 📝 with 🔗 to help those who are Data Science beginners 🤖

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Data Science Learning Path - A complete guide to learn data science for beginners

Data Science Questions and Answers (General) for beginner

Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.

Machine learning for beginner(Data Science enthusiast)

A full crash course on Python for beginners with a focus on Data Science

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

A delightful collection of free resources and tutorials for Python, data science, and machine learning. Dive into the world of coding, uncover the secrets of data analysis, and unleash the power of machine learning with our beginner-friendly materials. Join our community of learners and let's spoon-feed your curiosity together! 🥄🐍📊🤖

Pytest for Data Science Beginners

RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

Slides, notebooks, references etc for Data Science for Beginners sessions

This is the official repository for the Towards Data Science Article, "WTH am I doing here? The absolute beginner's guide to Git and GitHub"

A collection of exercise from pandas, numpy and sklearn for data science beginners

This repository is dedicated to providing structured and detailed learning paths for a variety of subjects, guiding learners from beginner to master levels. Whether you're starting your journey in web development, exploring data science, or diving into any other field, these roadmaps are designed to help you navigate your learning effectively.

Code Repository for Machine Learning and Data Science with Python: A Complete Beginners Guide, published by Packt

Python Data Science Bootcamp NYC Affordable Cost-Effective Best Weekend Classes Python SQL 101 Class Bootcamp Big Data Sciene Tutor NYC, New York Developed various passive course for bootcamps in Data Analytics, took classes at USA (New York) and India. Training theme centered around projects, for example, your portfolio or even themes you are doing at work in Manhattan, New York City. Very different from the repetitive courses given by other tutors with a fixed syllabus. The outcome of such engagement is a product you can use. And am focused to build your github portfolio. Also worked at New York Python SQL Bootcamp Coding Classes (Affordable & Cost-effective Machine Learning). Running the Best Free classes in NYC / India. Experience in creating and delivered for difference bootcamp: SQL 101 & Python 101 Classes, Big Data Science Classes for beginners in Analytics & Data Science, Weekend part time full time classes in Manhattan & Queens, 1 on 1 Tutoring, Free weekend 2hrs class, New York Python SQL Bootcamp for Non Programmers (Affordable Machine Learning).

Cheatsheets for data science and machine learning beginners

Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.

This repository provides a beginner-friendly introduction to statistical computing using the Julia programming language. It covers key statistical concepts, simulations, and implementations, an essential foundation for AI/ML. Ideal for students, researchers, and practitioners in data science and machine learning.

A 4 week program to get started with Data Science. Useful for beginners who want to get started by themselves.

A repository dedicated to maintaining resources about Data Science for beginners, intermediate as well as advanced practioners

[READ-ONLY MIRROR] An intro to data science for absolute beginners