This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

An introduction to databases using a language called SQL.

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Learn how to write recursive queries and query hierarchical data structures.

This course will teach you the techniques to manage, integrate, and visualize hierarchical data in SQL Server, transforming complex data relationships into actionable insights.

Learn how to use SQL to analyze your business metrics and key performance indicators (KPIs).

Practice more SQL in this course that covers how to manipulate and transform data.

This short course introduces you to the fundamentals of Data Engineering and Machine Learning with Apache Spark, including Spark Structured Streaming, ETL for Machine Learning (ML) Pipelines, and Spark ML. By the end of the course, you will have hands-on experience applying Spark skills to ETL and ML workflows.

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.

This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell/python scripts, Airflow and Kafka.

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.