Spring Transaction Management is one of the most important features of the Spring Framework. This course will teach you how to implement both declarative and programmatic topics like @Transactional, transaction propagation, and rollbacks.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

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

Learn about telling stories with data and visual best practices with Kate Strachnyi.

Data Visualization with Tableau with Dinushki De Livera at the 2019 Women in Analytics Conference.

Proper tools must be used to handle the vast amounts of data being processed in today's world. In this course, you will learn how to set up a Redshift cluster for your own organization.

Master data wrangling with Python. Learn essential techniques for cleaning, transforming, and manipulating raw data using libraries like Pandas, NumPy, and more, to prepare your data for analysis and machine learning in real-world scenarios.

In this course, Data Wrangling with Python 3, you'll learn about various functions and procedures that will help you get your data in order, providing a clean and well-constructed dataset for further data analysis and machine learning.

Learn how to analyze a SQL table and report insights to management.

Data-Driven Product Improvements with Amanda Gadrow at the 2019 Women in Analytics Conference.

This course will teach you the basics of accessing databases from Java. You will learn the key interfaces for how to connect, perform queries, and process results.

This course will teach you how to make the best use of Databricks assets such as notebooks, clusters, and repos to simplify the development and management of your big data applications.