Data Engineering Foundations Specialization

Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.

Instructors: Abhishek Gagneja +6 more

What you'll learn

  •   Working knowledge of Data Engineering Ecosystem and Lifecycle. Viewpoints and tips from Data professionals on starting a career in this domain.
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  •   Python programming basics including data structures, logic, working with files, invoking APIs, using libraries such as Pandas and Numpy, doing ETL.
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  •   Relational Database fundamentals including Database Design, Creating Schemas, Tables, Constraints, and working with MySQL, PostgreSQL & IBM Db2.
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  •   SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procs, working with multiple tables, JOINs, & transactions.

    • Skills you'll gain

  •   Extract, Transform, Load
  •   Relational Databases
  •   Data Governance
  •   Database Design
  •   Data Transformation
  •   Python Programming
  •   Data Warehousing
  •   Stored Procedure
  •   Web Scraping
  •   Jupyter
  •   Data Store
  •   Data Architecture

    • Specialization - 5 course series

    You will work hands-on with multiple real-world databases and tools including MySQL, PostgresSQL, IBM Db2, PhpMyAdmin, pgAdmin, IBM Cloud, Python, Jupyter notebooks, Watson Studio, etc.

    Python for Data Science, AI & Development

    Python Project for Data Engineering

    Introduction to Relational Databases (RDBMS)

    Databases and SQL for Data Science with Python

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