Data science courses

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

In this course you will learn the basics of machine learning for classification.

Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Discover the different ways you can enhance your Power BI data importing skills.

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

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

This course dives deeper into the Azure's backbone by going into topics like containers, virtual machines and much more.

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

This course introduces dbt for data modeling, transformations, testing, and building documentation.

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

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.

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.