Data science courses

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

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

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

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

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

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.

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

Understand the fundamentals of Machine Learning and how its applied in the business world.

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

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

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

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

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 the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

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

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

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

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

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

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

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

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

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

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

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

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