Skip to content

All of my individual learning materials, documents, and notes from the process of getting the Coursera IBM Data Engineer Professional Certificate specialization are stored in this repository.

Notifications You must be signed in to change notification settings

locnd-172/IBM-Data-Engineer-Specialization-Coursera-Personal-Note-Public

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

IBM Data Engineering Professional Certificate

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 about the professional certificate here: IBM Data Engineering Professional Certificate

Specialization Syllabus

This Professional Certificate contains 13 courses, as follows:

No. Course Status Certifications
01 Introduction to Data Engineering link
02 Python for Data Science, AI & Development link
03 Python Project for Data Engineering link
04 Introduction to Relational Databases (RDBMS) link
05 Databases and SQL for Data Science with Python link
06 Hands-on Introduction to Linux Commands and Shell Scripting link
07 Relational Database Administration (DBA) link
08 ETL and Data Pipelines with Shell, Airflow and Kafka link
09 Getting Started with Data Warehousing and BI Analytics link
10 Introduction to NoSQL Databases link
11 Introduction to Big Data with Spark and Hadoop link
12 Data Engineering and Machine Learning using Spark link
13 Data Engineering Capstone Project link

Certification

Loc Nguyen's Certification

Contact

Loc Nguyen Dang - [email protected] Linkedin: locnd172 Facebook: Lộc

About

All of my individual learning materials, documents, and notes from the process of getting the Coursera IBM Data Engineer Professional Certificate specialization are stored in this repository.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published