IBM Data Engineering Professional Certifcate

About the course

This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position.Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data.

By the end of this Professional Certificate, you will be able to explain, and perform the key tasks required in a data engineering role. You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use NoSQL databases and unstructured data. You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. You will gain experience with creating Data Warehouses and utilize Business Intelligence tools to analyze and extract insights.

More details and information about the professional certificate, you can accesses in the link below:

IBM Data Engineering Professional Certificate

Specialization Syllabus

This professional certicate contain 13 courses, as follows below:

Module	Access projects by Topics	Link of IBM courses
1	Introduction to Data Engineering	Introduction to Data Engineering
2	Python for Data Science, AI & Development	Python for Data Science, AI & Development
3	Python Project for Data Engineering	Python Project for Data Engineering
4	Introduction to Relational Databases (RDBMS)	Introduction to Relational Databases (RDBMS)
5	Databases and SQL for Data Science with Python	Databases and SQL for Data Science with Python
6	Hands-on Introduction to Linux Commands and Shell Scripting	Hands-on Introduction to Linux Commands and Shell Scripting
7	Relational Database Administration (DBA)	Relational Database Administration (DBA)
8	ETL and Data Pipelines with Shell, Airflow and Kafka	ETL and Data Pipelines with Shell, Airflow and Kafka
9	Getting Started with Data Warehousing and BI Analytics	Getting Started with Data Warehousing and BI Analytics
10	Introduction to NoSQL Databases	Introduction to NoSQL Databases
11	Introduction to Big Data with Spark and Hadoop	Introduction to Big Data with Spark and Hadoop
12	Data Engineering and Machine Learning using Spark	Data Engineering and Machine Learning using Spark
13	Data Engineering Capstone Project	Data Engineering Capstone Project