- Extraction, Transformation And Loading (ETL)
- Python Programming
- Relational Database Management System (RDBMS)
- Information Engineering
- SQL
June 11, 2022
Approximately 2 months at 10 hours a week to completeLUIS ANGEL MENDOZA VELASCO's account is verified. Coursera certifies their successful completion of IBM Data Engineering Foundations Specialization.
Course Certificates Completed
Introduction to Data Engineering
Python for Data Science, AI & Development
Introduction to Relational Databases (RDBMS)
Databases and SQL for Data Science with Python
Python Project for Data Engineering
Working knowledge of Data Engineering Ecosystem and Lifecycle. Viewpoints and tips from Data professionals on starting a career in this domain.
Python programming basics including data structures, logic, working with files, invoking APIs, using libraries such as Pandas and Numpy, doing ETL.
Relational Database fundamentals including Database Design, Creating Schemas, Tables, Constraints, and working with MySQL, PostgreSQL & IBM Db2.
SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procs, working with multiple tables, JOINs, & transactions.
Earned after completing each course in the Specialization
IBM
Taught by: Rav Ahuja & Priya Kapoor
Completed by: LUIS ANGEL MENDOZA VELASCO by June 5, 2022
IBM
Taught by: Joseph Santarcangelo
Completed by: LUIS ANGEL MENDOZA VELASCO by March 31, 2022
5 weeks of study, 3-6 hours per week
IBM
Taught by: Rav Ahuja & Sandip Saha Joy
Completed by: LUIS ANGEL MENDOZA VELASCO by June 11, 2022
4 weeks of study, 2-4 hours/week
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: LUIS ANGEL MENDOZA VELASCO by April 4, 2022
6 weeks of study, 2-4 hours/week.
IBM
Taught by: Ramesh Sannareddy, Joseph Santarcangelo & Abhishek Gagneja
Completed by: LUIS ANGEL MENDOZA VELASCO by June 8, 2022