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.

This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools.

This course introduces you to the basics of SQL, Django and Bootstrap. You will gain hands-on practical experience developing and deploying a full-stack Django web application on the cloud.

Quickly gain job-ready skills creating, populating, querying, and managing a cloud-based database using trusted IBM Cloudant.

Develop fundamental database skills, including table creation, loading data, and writing queries using IBM Db2 on Cloud. Explore Db2 on Cloud scalability, availability, and ease-of-use and gain job-ready skills with this hour-long, hands-on guided project.

Get started with MongoDB, an essential NoSQL database program. In an hour, beginners and new data scientists can learn the fundamentals of MongoDB.

In this one-hour of hands-on guided project, you can easily learn how to analyze data using pandas, a popular Python library used for data analysis. This project will teach you how to analyze credit risk on a client dataset using the pandas library.

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

This course introduces you to the fundamentals of NoSQL, including the four key non-relational database categories. By the end of the course you will have hands-on skills for working with MongoDB, Cassandra and IBM Cloudant NoSQL databases.