Data science courses

Master sampling to get more accurate statistics with less data.

Learn how to clean data with Apache Spark in Python.

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Learn to start developing deep learning models with Keras.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Using Python and NumPy, learn the most fundamental financial concepts.

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Learn to perform linear and logistic regression with multiple explanatory variables.

Prepare for your next coding interviews in Python.

Step right into the dynamic world of data modeling with Snowflake!

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.