Data science courses

This course dives deeper into the Azures 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.

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

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

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

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

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.