Data Science with Databricks for Data Analysts

In Module 1, participants will learn how to ingest, transform, and query data to extract valuable insights. By leveraging existing SQL skills, they will start working with Apache Spark, gaining the ability to process and analyze big data efficiently.

Module 2 focuses on applying foundational data science concepts and techniques to solve real-world problems. Participants will design, execute, assess, and communicate the results of their own data science projects, developing a practical understanding of data science fundamentals.

Module 3 delves into exploring data using unsupervised machine learning techniques and solving complex supervised learning problems using tree-based models. Participants will also apply hyperparameter tuning and cross-validation strategies to enhance model performance for business problem-solving.