Data Science Resources for College & Adult

Data Science For Dummies

From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret d...

Introduction to Data Science - Codecademy

Explore data science fundamentals including data analysis, visualization, statistics, and Python tools through Codecademy's interactive platform.

Learn SQL - Codecademy

Learn to query and manage databases with SQL through interactive exercises covering SELECT, WHERE, JOIN, and aggregate functions.

Data Science for Everyone

An introduction to data science with no coding involved.

Data and AI Fundamentals (LFS115x)

This course is designed to give you an introduction to the amazing world of Artificial Intelligence. It offers a very pragmatic overview of AI fundamentals, accessible to both technical and non-technical audiences. This course provides an entrance to the amazing Linux Foundation AI & Data ecosystem, which will be very useful for people looking for relevant open source tools or areas to get involved to continue developing new data and AI skills.

Introduction to Data Analysis with Python

A beginner’s Python data analysis online course. Sign up and start learning Python today!

Advanced Linear Models for Data Science 1 : Linear Models

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: &#82...

Process Mining: Data science in Action

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and...

Regression Models

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This c...

Become a Data Scientist

IT help desk specialists need technical knowledge and strong customer service skills to be able to successfully resolve issues. Improve how you perform system administration and maintenance while also enhancing your skills in communication, time mana...

Data Science in Real Life

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analy...

Woz-U Data Science

The program includes training in Statistics, Computer Programming, Data Visualization, Data Modeling, Big Data and Machine Learning. Learn how to create big impact as a Data Scientist by analyzing data that impacts key business decisions. THIS IS NO...

Data Science Capstone

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and ac...

The Data Scientist’s Toolbox

The Data Scientist’s Toolbox is course 1 of 10 in the Data Science Specialization. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need t...

Developing Data Products

Developing Data Products is course 9 of 10 in the Data Science Specialization. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throu...

CS109 Data Science - Harvard

Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big d...

NVIDIA Deep Learning Institute