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  1. Home
  2. Learning Paths

IBM Data Engineering Professional Certificate Learning Path

IBM Data Engineering Professional Certificate is a Professional Certificate designed by Coursera. It consists of 13 courses and can be completed in 15 months with 3 hours of learning content .

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Description

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.

Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
IBM
1. Introduction to Data Engineering
Rav Ahuja and Priya Kapoor

12 hours

Beginner

31,806
Hadoop Hive NoSQL Python SQL
Coursera
IBM
2. Python for Data Science, AI & Development
Joseph Santarcangelo

21 hours

Beginner

388,374
NumPy Pandas Python
Coursera
IBM
3. Python Project for Data Engineering
Ramesh Sannareddy and Joseph Santarcangelo

6 hours

Intermediate

9,960
Jupyter Python Watson
Coursera
IBM
4. Introduction to Relational Databases (RDBMS)
Rav Ahuja

16 hours

Beginner

9,452
MySQL PostgreSQL SQL
Coursera
IBM
5. Databases and SQL for Data Science with Python
Rav Ahuja and Hima Vasudevan

36 hours

Beginner

241,246
Jupyter Python SQL
Coursera
IBM
6. Hands-on Introduction to Linux Commands and Shell Scripting
Rav Ahuja and Ramesh Sannareddy

9 hours

Beginner

11,654
Linux Shell Unix
Coursera
IBM
7. Relational Database Administration (DBA)
Ramesh Sannareddy and Rav Ahuja

18 hours

Beginner

2,597
Linux Shell Unix
Coursera
IBM
8. ETL and Data Pipelines with Shell, Airflow and Kafka

13 hours

Beginner

6,963
Kafka Linux Shell
Coursera
IBM
9. Getting Started with Data Warehousing and BI Analytics
Ramesh Sannareddy and Rav Ahuja

13 hours

Beginner

2,804
Cognos Snowflake
Coursera
IBM
10. Introduction to NoSQL Databases
Rav Ahuja and Ramesh Sannareddy

18 hours

Beginner

7,498
MongoDB NoSQL SQL Shell
Coursera
IBM
11. Introduction to Big Data with Spark and Hadoop
Karthik Muthuraman and Aije Egwaikhide

14 hours

Beginner

7,459
Apache Spark Docker Hadoop Hive Kubernetes
Coursera
IBM
12. Data Engineering Capstone Project
Rav Ahuja and Ramesh Sannareddy

13 hours

Beginner
Apache Spark MongoDB MySQL NoSQL Python
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