- Data Science
- Data Analysis
- Python Programming
- ETL & Data Pipelines
- NoSQL and Big Data
- SQL
- Apache Spark
- Database (DBMS)
- Relational Database Management Systems (RDBMS)
October 23, 2023
Approximately 5 months at 10 hours a week to completeChih-Wei Tung's account is verified. Coursera certifies their successful completion of IBM IBM Data Engineering Specialization.
Course Certificates Completed
Introduction to Data Engineering
Python Project for Data Engineering
Relational Database Administration (DBA)
Data Engineering Capstone Project
Machine Learning with Apache Spark
ETL and Data Pipelines with Shell, Airflow and Kafka
Introduction to NoSQL Databases
Python for Data Science, AI & Development
Introduction to Relational Databases (RDBMS)
Getting Started with Data Warehousing and BI Analytics
Databases and SQL for Data Science with Python
Hands-on Introduction to Linux Commands and Shell Scripting
Introduction to Big Data with Spark and Hadoop
Master the most up-to-date practical skills and knowledge data engineers use in their daily roles
Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2
Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming
Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards
Earned after completing each course in the Specialization
IBM
Taught by: Rav Ahuja & Priya Kapoor
Completed by: Chih-Wei Tung by September 23, 2023
IBM
Taught by: Ramesh Sannareddy, Joseph Santarcangelo & Abhishek Gagneja
Completed by: Chih-Wei Tung by September 24, 2023
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: Chih-Wei Tung by October 5, 2023
5 weeks of study, 2-4 hours / week
IBM
Taught by: Rav Ahuja & Ramesh Sannareddy
Completed by: Chih-Wei Tung by October 23, 2023
7 weeks of study, 2-4 hours / week
IBM
Taught by: IBM Skills Network Team & Ramesh Sannareddy
Completed by: Chih-Wei Tung by October 22, 2023
4 weeks of study, 2-4 hours/week
IBM
Taught by: Yan Luo, Jeff Grossman, Sabrina Spillner & Ramesh Sannareddy
Completed by: Chih-Wei Tung by October 8, 2023
5 weeks of study, 2-4 hours / week
IBM
Taught by: Rav Ahuja, Ramesh Sannareddy, Steve Ryan & Muhammad Yahya
Completed by: Chih-Wei Tung by October 17, 2023
5 weeks of study, 2-4 hours/week
IBM
Taught by: Joseph Santarcangelo
Completed by: Chih-Wei Tung by September 23, 2023
5 weeks of study, 3-6 hours per week
IBM
Taught by: Rav Ahuja & Sandip Saha Joy
Completed by: Chih-Wei Tung by September 28, 2023
4 weeks of study, 2-4 hours/week
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: Chih-Wei Tung by October 15, 2023
4 weeks of study, 2-4 hours / week
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: Chih-Wei Tung by October 1, 2023
6 weeks of study, 2-4 hours/week.
IBM
Taught by: Rav Ahuja, Sam Prokopchuk & Ramesh Sannareddy
Completed by: Chih-Wei Tung by October 3, 2023
4 week of study, 2-3 hours / week
IBM
Taught by: Aije Egwaikhide, Romeo Kienzler & Rav Ahuja
Completed by: Chih-Wei Tung by October 21, 2023
7 weeks of study, 2-4 hours / week