- Data Science
- Data Analysis
- Python Programming
- ETL & Data Pipelines
- NoSQL and Big Data
- SQL
- Apache Spark
- Database (DBMS)
- Relational Database Management Systems (RDBMS)
IBM Data Engineering
Completed by Sertan Kutlu
February 5, 2023
Approximately 5 months at 10 hours a week to completeSertan Kutlu's account is verified. Coursera certifies their successful completion of IBM IBM Data Engineering Specialization.
Course Certificates Completed
Getting Started with Data Warehousing and BI Analytics
Data Engineering and Machine Learning using Spark
Introduction to Relational Databases (RDBMS)
Data Engineering Capstone Project
ETL and Data Pipelines with Shell, Airflow and Kafka
Databases and SQL for Data Science with Python
Introduction to Big Data with Spark and Hadoop
Relational Database Administration (DBA)
Introduction to NoSQL Databases
Introduction to Data Engineering
Python Project for Data Engineering
Hands-on Introduction to Linux Commands and Shell Scripting
Python for Data Science, AI & Development
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
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Getting Started with Data Warehousing and BI Analytics
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: Sertan Kutlu by January 29, 2023
4 weeks of study, 2-4 hours / week
Data Engineering and Machine Learning using Spark
IBM
Taught by: Karthik Muthuraman & Romeo Kienzler
Completed by: Sertan Kutlu by January 31, 2023
3 weeks of study, 1-2 hours/week
Introduction to Relational Databases (RDBMS)
IBM
Taught by: Rav Ahuja & Sandip Saha Joy
Completed by: Sertan Kutlu by January 16, 2023
4 weeks of study, 2-4 hours/week
Data Engineering Capstone Project
IBM
Taught by: Rav Ahuja & Ramesh Sannareddy
Completed by: Sertan Kutlu by February 5, 2023
7 weeks of study, 2-4 hours / week
ETL and Data Pipelines with Shell, Airflow and Kafka
IBM
Taught by: Yan Luo, Jeff Grossman, Sabrina Spillner & Ramesh Sannareddy
Completed by: Sertan Kutlu by January 24, 2023
5 weeks of study, 2-4 hours / week
Databases and SQL for Data Science with Python
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: Sertan Kutlu by January 18, 2023
6 weeks of study, 2-4 hours/week.
Introduction to Big Data with Spark and Hadoop
IBM
Taught by: Aije Egwaikhide, Romeo Kienzler & Rav Ahuja
Completed by: Sertan Kutlu by January 24, 2023
7 weeks of study, 2-4 hours / week
Relational Database Administration (DBA)
IBM
Taught by: Ramesh Sannareddy & Rav Ahuja
Completed by: Sertan Kutlu by January 22, 2023
5 weeks of study, 2-4 hours / week
Introduction to NoSQL Databases
IBM
Taught by: Rav Ahuja, Ramesh Sannareddy, Steve Ryan & Muhammad Yahya
Completed by: Sertan Kutlu by January 13, 2023
5 weeks of study, 2-4 hours/week
Introduction to Data Engineering
IBM
Taught by: Rav Ahuja & Priya Kapoor
Completed by: Sertan Kutlu by December 17, 2022
Python Project for Data Engineering
IBM
Taught by: Ramesh Sannareddy, Joseph Santarcangelo & Abhishek Gagneja
Completed by: Sertan Kutlu by January 9, 2023
Hands-on Introduction to Linux Commands and Shell Scripting
IBM
Taught by: Rav Ahuja, Sam Prokopchuk & Ramesh Sannareddy
Completed by: Sertan Kutlu by January 19, 2023
4 week of study, 2-3 hours / week
Python for Data Science, AI & Development
IBM
Taught by: Joseph Santarcangelo
Completed by: Sertan Kutlu by December 17, 2022
5 weeks of study, 3-6 hours per week