DataDays
What is Data Science?
Data Science is the intersection of statistics, computer science, and domain knowledge. It helps us draw insights from data, make predictions, and inform real-world decisions. From analyzing sports stats to building classifier systems, Data Science is everywhere in the world and now it is more accesible than ever!
Recommended Flow of Courses
If you're new to Data Science we recommend you begin with the probability section because understanding the underlying math behind the statistics is very important when it comes to applying Data Science. Once you are done with the probability section we recommend you either begin the Python or SQL section to help you understanding basic programming principles within Data Science. Finally we recommend you check out the regression or machine learning courses becuase those courses combine a mix of everything and focus on the application of everything you've learned in the previous courses. Finally we recommend you begin the projects section so that you can be guided through building your own projects!
Courses Section
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.
Probability
Learn how to measure uncertainty, interpret data, and build probabilistic intuition for real-world analysis. Covers Outcome Spaces, Random Counts, Expectation, Variance, and Regression.
Python for Data Science
Explore Python for data analysis and visualization with pandas and matplotlib. Designed for beginners with no prior coding experience.
SQL and Databases
Master structured queries and data modeling. Learn joins, aggregations, subqueries, and NoSQL techniques for semi-structured data.
Regression
Learn to fit, interpret, and evaluate regression models. Understand linear modeling, residuals, and variable relationships.
Machine Learning
Cover supervised and unsupervised learning, overfitting, model training, and neural networks in an intuitive way.
Projects (Coming Soon)
Apply your skills with guided projects and notebooks that simulate real-world data science challenges.