January 19, 2022
Approximately 4 months at 10 hours a week to completeSHANSHAN WANG's account is verified. Coursera certifies their successful completion of IBM IBM Data Warehouse Engineer Specialization.
Course Certificates Completed
Introduction to Relational Databases (RDBMS)
Data Warehouse Fundamentals
Introduction to Data Engineering
ETL and Data Pipelines with Shell, Airflow and Kafka
Databases and SQL for Data Science with Python
Hands-on Introduction to Linux Commands and Shell Scripting
Compose and execute various types of SQL statements and queries to access and manipulate data in databases
Deploy, Manage, Secure, Operationalize, Monitor and Optimize relational database systems like MySQL, PostgreSQL, and DB2
Create Data Pipelines to extract, transform and load data repositories using shell scripts, and tools such as Apache Airflow & Kafka
Design and populate Data Warehouses and analyze their data with Business Intelligence (BI) tools like Cognos Analytics
Earned after completing each course in the Specialization
IBM
Taught by: Rav Ahuja & Sandip Saha Joy
Completed by: SHANSHAN WANG by January 9, 2022
4 weeks of study, 2-4 hours/week
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: SHANSHAN WANG by December 28, 2021
3 weeks of study, 2-4 hours/week
IBM
Taught by: Rav Ahuja & Priya Kapoor
Completed by: SHANSHAN WANG by January 3, 2022
IBM
Taught by: Jeff Grossman, Yan Luo, Lavanya Thiruvali Sunderarajan, Ramesh Sannareddy & Sabrina Spillner
Completed by: SHANSHAN WANG by December 20, 2021
5 weeks of study, 2-4 hours / week
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: SHANSHAN WANG by December 30, 2020
6 weeks of study, 2-4 hours/week.
IBM
Taught by: Rav Ahuja, Sam Prokopchuk & Ramesh Sannareddy
Completed by: SHANSHAN WANG by December 14, 2021
4 week of study, 2-3 hours / week