IBM Data Engineering
Completed by XIAOQI YU
October 23, 2022
Approximately 6 months at 10 hours a week to completeXIAOQI YU's account is verified. Coursera certifies their successful completion of IBM IBM Data Engineering Specialization.
Course Certificates Completed
Introduction to Big Data with Spark and Hadoop
ETL and Data Pipelines with Shell, Airflow and Kafka
Python for Data Science, AI & Development
Databases and SQL for Data Science with Python
Data Engineering and Machine Learning using Spark
Hands-on Introduction to Linux Commands and Shell Scripting
Data Engineering Capstone Project
Introduction to Data Engineering
Introduction to NoSQL Databases
Relational Database Administration (DBA)
Python Project for Data Engineering
Introduction to Relational Databases (RDBMS)
Data Warehouse Fundamentals
What you will learn
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
Course Certificates
Earned after completing each course in the Specialization
Introduction to Big Data with Spark and Hadoop
IBM
Taught by: Aije Egwaikhide, Romeo Kienzler & Rav Ahuja
Completed by: XIAOQI YU by October 15, 2022
7 weeks of study, 2-4 hours / week
ETL and Data Pipelines with Shell, Airflow and Kafka
IBM
Taught by: Jeff Grossman, Yan Luo, Lavanya Thiruvali Sunderarajan, Ramesh Sannareddy & Sabrina Spillner
Completed by: XIAOQI YU by October 9, 2022
5 weeks of study, 2-4 hours / week
Python for Data Science, AI & Development
IBM
Taught by: Joseph Santarcangelo
Completed by: XIAOQI YU by September 20, 2022
5 weeks of study, 3-6 hours per week
Databases and SQL for Data Science with Python
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: XIAOQI YU by September 30, 2022
6 weeks of study, 2-4 hours/week.
Data Engineering and Machine Learning using Spark
IBM
Taught by: Karthik Muthuraman & Romeo Kienzler
Completed by: XIAOQI YU by October 19, 2022
3 weeks of study, 1-2 hours/week
Hands-on Introduction to Linux Commands and Shell Scripting
IBM
Taught by: Rav Ahuja, Sam Prokopchuk & Ramesh Sannareddy
Completed by: XIAOQI YU by September 19, 2022
4 week of study, 2-3 hours / week
Data Engineering Capstone Project
IBM
Taught by: Rav Ahuja & Ramesh Sannareddy
Completed by: XIAOQI YU by October 23, 2022
7 weeks of study, 2-4 hours / week
Introduction to Data Engineering
IBM
Taught by: Rav Ahuja & Priya Kapoor
Completed by: XIAOQI YU by September 24, 2022
Introduction to NoSQL Databases
IBM
Taught by: Rav Ahuja, Ramesh Sannareddy, Steve Ryan & Muhammad Yahya
Completed by: XIAOQI YU by October 18, 2022
5 weeks of study, 2-4 hours/week
Relational Database Administration (DBA)
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: XIAOQI YU by October 4, 2022
5 weeks of study, 2-4 hours / week
Python Project for Data Engineering
IBM
Taught by: Ramesh Sannareddy, Joseph Santarcangelo & Abhishek Gagneja
Completed by: XIAOQI YU by September 26, 2022
Introduction to Relational Databases (RDBMS)
IBM
Taught by: Rav Ahuja & Sandip Saha Joy
Completed by: XIAOQI YU by September 30, 2022
4 weeks of study, 2-4 hours/week
Data Warehouse Fundamentals
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: XIAOQI YU by October 12, 2022
3 weeks of study, 2-4 hours/week