Data science courses

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

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

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

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

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

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

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

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

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn how to approach and win competitions on Kaggle.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Analyze text data in R using the tidy framework.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.