DataDays
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, understand randomness, and build probabilistic intuition for interpreting data. In this section we cover Outcome Spaces, Random Counts, Expectation, Variance, Standard Deviation, Central Limit Theorem, Density, Covariance, and Regression
Jump into the world of python for analysis, visualization, and exploration. No prior experience with python required, we will cover the basics of python and focus mainly on the pandas library for exploratory data analysis and visualizations. Making you prepared to take the next step in your data science journey.
Discover how to store, query, and manage data using SQL. In this section you will learn what databases are, how they work, and how to extract key business insights from structured and semi-structured data. We will cover SQL and all the various syntax that it offers, Data modeling, Data Preparation, and Semi-structured data.
In this section learn how to explore the foundations of predictive modeling using linear regression and beyond. Learn how to fit models, evaluate them, and find key relationships within your data.
Delve deeper into algorithms that allow computers to learn from the data that they are given. In this section we cover Supervised vs Unsupervised Learning, Optimization, Underfitting, Overfitting, Bias Variance tradeoff, Regularization, Model Training, Classification, Dimensionality Reduction, and Neural Network Basics
Apply the techniques that you have learned throughout the course by building your own projects. In this section we will share some project tutorials and Jupyter Notebooks to help you get started and comfortable building your own projects from scratch!
At DataDays our mission is to create an all inclusive platform to help people learn data science. It is our goal to make the field of data science as accessible as possible regardless prior education. We believe that data literacy is an important tool especially in the world we live in today as it will open many more opportunities for those in the future. We strive to achieve this through clear hands on lessons and questions that break down very complex topics into important practical skills that learners can apply immediately. Through this set of courses we hope to instill confidence into those excited to learn about Data Science, but don't know where to start helping them use their new tools for real world scenarios. By cultivating a supportive and welcoming community, we hope to lower the barriers to technical education in order to empower learners to become confident real world problem solvers. At DataDays, we are here to assist you learn, build, and grow with data.
