This credential earner has developed career-ready skills in data engineering and created a portfolio from labs and projects. They demonstrated abilities to perform key tasks in roles requiring skills in Python, NoSQL databases, relational databases (RDBMS), SQL, as well as familiarity with Hadoop and Spark, and creating data warehouses utilizing business intelligence tools. The learner brings together these skills to implement various data repositories and pipelines to create a data platform.

• Type Validation
• Level Advanced
• Time Months
• Cost Paid