Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Learn how to build effective data models for databases and business applications.

Master the concepts of data modeling and database design for efficient data management.

Designing an efficient data model is a mastery on its own. This course will teach you how to create and implement optimal, high-performing data models for different workloads.

Build scalable data pipelines using Microsoft Azure tools.

Learn how to prepare and model data for analysis and visualization.

Alteryx is a powerful tool to access your data and prepare it for analysis. This course will introduce you to common functions in Alteryx that will help you to cleanse your data to enhance its effectiveness for further analysis.

Understand data privacy principles and laws to protect sensitive information.

Learn to process sensitive information with privacy-preserving techniques.

Learn how to build scalable model pipelines for data science in production environments, focusing on best practices for deployment and management.

Prepare for the data science interview process, from navigating job postings to passing the technical interview.

Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.