Build your Data Science knowledge and skills with beginner friendly lessons in Probability, Python, SQL, Machine Learning, and more! Access clear and practical content anytime and anywhere, completely free for all learners!
Whether you are a beginner or an expert, DataDays is here for you. We have a structured course providing you with all the essentials of data science, but you are also free to choose whichever module pertains to your learning needs in the moment. You can choose from bite-sized daily lessons or go straight to testing your knowledge in our questions database. Alongside the questions and textbooks that we have created, we also offer walkthrough projects that simulate real-world uses of data science. And best of all, Everything is Free!
Find all of the unique courses that DataDays has to offer. We currently have robust courses and questions on Probability, Python, SQL, Regression, and Machine Learning.
Learn how to measure uncertainty, interpret data, and build probabilistic intuition for real-world analysis. Covers Outcome Spaces, Random Counts, Expectation, Variance, and Regression.
Explore Python for data analysis and visualization with pandas and matplotlib. Designed for beginners with no prior coding experience.
Master structured queries and data modeling. Learn joins, aggregations, subqueries, and NoSQL techniques for semi-structured data.
Learn to fit, interpret, and evaluate regression models. Understand linear modeling, residuals, and variable relationships.
Cover supervised and unsupervised learning, overfitting, model training, and neural networks in an intuitive way.
Apply your skills with guided projects and notebooks that simulate real-world data science challenges.
At DataDays our mission is to create an all-inclusive platform to help people learn data science. Our goal is to make the field of data science as accessible as possible regardless of prior education. Through our set of courses we hope to instill confidence into those excited to learn about Data Science, but don’t know where to start. We are here to assist you learn, build, and grow with data.