Gain insights into big data concepts and the Hadoop ecosystem, focusing on data storage, processing, and analysis.

See how big data is used across different industries and learn how to work with big data using PySpark!

See how big data is used across different industries and learn how to work with big data using PySpark!

Unlock BigQuery's power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Explore the features of IBM Cognos Analytics, a powerful business intelligence tool. Learn how to create reports, dashboards, and visualizations to transform raw data into actionable insights that drive business decisions.

Explore complex network analysis techniques using Python, focusing on graph theory and practical applications in various domains.

Explore complex network analysis techniques using Python, focusing on graph theory, data visualization, and real-world applications.

We'll learn about different computer vision tasks and focus on image classification, learning how to use neural networks to classify handwritten digits, as well as some real-world images, such as photographs of cats and dogs. We'll be using one of the most popular deep learning frameworks, PyTorch!

Learn the fundamentals of data collection, analysis, and interpretation.

Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

Learn data analysis and visualization techniques using R, covering essential concepts, libraries, and practical applications for effective data storytelling.