Data science courses

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

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

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

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

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Learn to process, transform, and manipulate images at your will.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

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

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

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

In this course youll learn the basics of working with time series data.

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.

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

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

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

Leverage the OpenAI API to get your AI applications ready for production.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

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

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Master AWS cloud technology with our course - ideal for hands-on learning and practical applications in the AWS ecosystem.

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

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.

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

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.