IBM Data Engineering Professional Certificate

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• Learning materials, assignments, and helpful resources for professional certification. Expected Completion June 2023

About this Professional Certification

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Applied Learning Project

Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Python, SQL, relational databases, NoSQL databases, Apache Spark, building data pipelines, managing databases, and working with data warehouses.

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Projects:

Capstone

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Tools: python, github, Watson Studio MySQL, IBM Db2, PostgreSQL, MongoDB, Cassandra, Hadoop, Apache Spark, SparkSQL, SparkML, SQL, Bash, Apache Airflow, Apache Kafka, IBM Cloudant,

Libraries: pandas, numpy, matplotlib,

IBM Data Engineering Professional Certificate

Certification Overview

	Courses
1.	[Introduction to Data Engineering](create linked page)
2.	[Python for Data Science, AI & Development](create linked page)
3.	[Python Project for Data Engineering](create linked page)
4.	[Introduction to Relational Databases (RDBMS)](create linked page)
5.	[Databases and SQL for Data Science with Python](create linked page)
6.	[Hands-on Introduction to Linux Commands and Shell Scripting](create linked page)
7.	[Relational Database Administration (DBA)](create linked page)
8.	[ETL and Data Pipelines with Shell, Airflow and Kafka](create linked page)
9.	[Getting Started with Data Warehousing and BI Analytics](create linked page)
10.	[Introduction to NoSQL Databases](create linked page)
11.	[Introduction to Big Data with Spark and Hadoop](create linked page)
12.	[Data Engineering and Machine Learning using Spark](create linked page)
13.	[Data Engineering Capstone Project](create linked page)

Useful Resources

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Instructors

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