Data science courses

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Build multiple-input and multiple-output deep learning models using Keras.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

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

Analyze text data in R using the tidy framework.

Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Learn about responsible AI data management practices. Discover strategies covering all stages of an AI project to help you develop AI responsibly.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

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

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

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

Learn to build recommendation engines in Python using machine learning techniques.

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Learn efficient techniques in pandas to optimize your Python code.

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

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

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

Learn the fundamentals of data visualization using Google Sheets.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Learn about ARIMA models in Python and become an expert in time series analysis.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

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

This course will show you how to integrate spatial data into your Python Data Science workflow.