Data science courses

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

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

Learn to start developing deep learning models with Keras.

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

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

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

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

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

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

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

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

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

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

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

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

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

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

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

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

Unlock BigQuery's power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

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

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

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

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

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

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

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