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.

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

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!

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 the fundamentals of data collection, analysis, and interpretation.

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

Gain insights into data analysis and visualization techniques using R, focusing on data exploration and effective presentation strategies.

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.