Learn to preprocess and engineer features from raw data using Python. This course will teach you to handle missing values, detect outliers, create relevant features, and optimize datasets for effective data science projects.

Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.

This course introduces classification and regression trees (CART), random forest, and XGBoost machine learning algorithms using the R programming language.

In this Executive Briefing, you will learn what data science is, why it is important for you and your business, and how to get started becoming a data-driven organization.

Data science is the practice of transforming raw data into actionable insight. This course will teach you about the tools, technologies, and trends driving the data science revolution.

Develop advanced data science skills including machine learning, statistics, and big data analysis.

Kickstart your career as a data scientist with this comprehensive guide. Prepare for interviews with expert tips on resume building, essential skills, and mock interviews to help you land a role in the booming field of data science.

Prepare for the data science interview process, from navigating job postings to passing the technical interview.

Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.

Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.

Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.

Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.