This course equips you with the skills and knowledge needed to build regulated, compliant data platforms that respect user privacy and trust.

This course is a full walkthrough of how to include security and data privacy into your data governance program. You will explore how current standards, laws, and regulations apply and how to address risks.

Data normalization best practices are essential for organizing and standardizing data effectively. In this course, you will gain an understanding of data quality dimensions, roles and responsibilities, and best practices for ensuring data quality.

Learn how to build real-time data ingestion pipelines using Apache Kafka.

In this learning path, the students learn how to create and manage data pipelines in the cloud using Azure Data Factory.

Learn to manage and process data using Spark and Azure Databricks platforms.

Master the key concepts of data management, from life cycle stages to security and governance.

This course will teach you the skills needed to manage your data effectively and the hidden pitfalls to avoid.

This course will teach you some of the fundamental techniques to store, manage, and process data using the Databricks platform.

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

This course will introduce you to common functions in Alteryx that will help you to manipulate your data to enhance its effectiveness for further analysis.