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

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.

Learn to use Pandas and NumPy libraries for data manipulation and analysis in Python.

Get introduced to data analytics methods for extracting insights from data.

This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services.

Data is all around us, which makes data literacy an essential life skill.

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.