Data science courses

Learn how to manipulate and visualize categorical data using pandas and seaborn.

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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!

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

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

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.