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IBM Data Engineering Professional Certificate [Online, 15 Months]: Enroll Now

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Registrations are open for 15 Months online IBM Data Engineering Professional Certificate.

About

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.

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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.   

Each course includes numerous hands-on labs & projects to apply the concepts and skills you learn. The program will culminate in a Capstone Project where you will bring together all of these skills to develop and implement an entire data platform with various data repositories and pipelines to address a real-world inspired data analytics problem.

Skills you will gain

  • Relational Database Management Syste (RDBMS)
  • ETL & Data Pipelines
  • NoSQL and Big Data
  • Apache Spark
  • SQL
  • Data Science
  • Database (DBMS)
  • NoSQL
  • Python Programming
  • Data Analysis
  • Pandas
  • Numpy

What you will learn?

  • Create, design, and manage relational databases and apply database administration (DBA) concepts to RDBMSes such as MySQL, PostgreSQL, and IBM Db2.
  • Develop and execute SQL queries using SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procedures, Nested Queries, and JOINs. 
  • Demonstrate working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, Spark Streaming. 
  • Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.​ 

Duration

15 Months (Suggested pace of 3 hours/week).

Syllabus

  • Introduction to Data Engineering
  • Python for Data Science, AI & Development
  • Python Project for Data Engineering
  • Introduction to Relational Databases (RDBMS)
  • Databases and SQL for Data Science with Python
  • Hands-on Introduction to Linux Commands and Shell Scripting
  • Relational Database Administration (DBA)
  • ETL and Data Pipelines with Shell, Airflow and Kafka
  • Getting Started with Data Warehousing and BI Analytics
  • Introduction to NoSQL Databases
  • Introduction to Big Data with Spark and Hadoop
  • Data Engineering and Machine Learning using Spark
  • Data Engineering Capstone Project

Click here to enroll for IBM Data Engineering Professional Certificate.

Note: NoticeBard is associated with Coursera through an affiliate programme.

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