Data science courses

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

Understand the fundamentals of Machine Learning and how it's applied in the business world.

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

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

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

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

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

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

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

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

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

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

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

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

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

Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

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

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

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

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

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.

This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.

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

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

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

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

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

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.