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IBM Data Engineering Professional Certificate

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BeginnerProfessional Certificate

Begin your journey towards a career in data engineering. Master Python, SQL, Spark, Hadoop, and more with hands-on job-ready skills!

4.8 (28 Reviews)

Language

  • English

Topic

  • Database, Python, Data Analysis, Linux, Big Data, Artificial Intelligence

Industries

  • Information Technology

Skills You Will Learn

  • Big Data, Data Engineering, Data Warehousing, ETL, NoSQL, RDBMS, Data Science, Python, Application Programming Interface (API), Web Scraping, Database Design, MySQL, PostgreSQL, Relational Databases, SQL, Cloud Databases, Databases, ACID, JOIN, Querying Databases, Views, Bash, Linux Commands, Shell Scripting, Software Development, Text Processing, Unix Shell, Data Management, Database Administration (DBA), Database Security, Apache Airflow, Apache Kafka, Data Pipeline, Data Warehouse, Extract Transform Load (ETL), Business Intelligence, Cognos Analytics, Data Lakes, Data Warehouses, Star Schema, Agile, Apache Cassandra, Cloud Native, IBM Cloudant, MongoDB, Apache Hadoop, Apache Hive, Apache Spark, Spark Streaming, Batch Processing, Graph Theory, Machine Learning, Unsupervised Learning, BI Dashboards, Relational Database Management Systems (RDBMS)

Offered By

  • IBM

Platform

  • SkillsNetwork

Last Update

  • June 25, 2025
About this Professional Certificate
Organizations today have access to more data than ever before. The sheer volume of data, coupled with the need to derive meaningful insights, has created a high demand for Data Engineers.

Data Engineers are crucial in managing and optimizing data systems, enabling businesses to leverage data for informed decision-making. To succeed in this role, data engineers need a diverse skill set to build and streamline data systems, ensuring data is accessible for analysis. This Professional Certificate program equips you with the skills needed to start your career as an entry-level data engineer. 

By the end, you will have hands-on experience working with cloud-based relational databases (RDBMS), NoSQL data stores, Python, Bash, SQL, Big Data, and tools like Apache Hadoop and Spark for processing large datasets. You’ll also gain expertise in ETL processes, building data pipelines, using tools like Apache Kafka and Airflow, designing data warehouses, and using business intelligence tools. Throughout the program, you’ll engage in hands-on labs and projects, culminating in a Capstone project where you’ll demonstrate your practical abilities as a Data Engineer. 

After completing this professional certificate, you will be able to:

  • Explain the essential concepts, processes, tools, and technologies involved in data engineering.
  • Showcase your understanding of RDBMS fundamentals, including database design, schema creation, table management, administration, security, and working with MySQL, PostgreSQL, and IBM Db2.
  • Demonstrate proficiency in SQL, including the use of SELECT, INSERT, UPDATE, and DELETE statements, along with database functions, stored procedures, multi-table operations, JOINs, and transactions.
  • Illustrate your knowledge of NoSQL and big data technologies, and gain practical experience with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, and Spark Streaming.
  • Explain the use of ETL tools and data pipeline creation using Python, Linux shell scripts, Apache Airflow, and Apache Kafka.
  • Describe the structure and purpose of Data Lakes, Data Marts, and Enterprise Data Warehouses (EDW), and design them using Star and Snowflake schemas.
  • Design and populate Data Warehouses, then analyze the data using Business Intelligence (BI) tools such as Cognos Analytics.

No prior experience in data engineering or programming is required to join this program.

Courses and Projects in this Professional Certificate

Data Engineering Fundamentals
Premium
CourseBeginner
Data Engineering Fundamentals

Utilize the Data Engineering Fundamentals course to improve your data literacy. Familiarize yourself with NoSQL, Relational Databases, SQL, data lakes, data marts, data warehouses, ETL, big data tools, and discover different career opportunities!

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Python Fundamentals for Beginners
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CourseBeginner
Python Fundamentals for Beginners

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

4.7 (17 Reviews)

201 Enrolled

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Data Engineering Project with Python
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CourseIntermediate
Data Engineering Project with Python

Practice crucial data engineering skills by implementing an ETL pipeline with Python. Extract data from different sources, transform it for analysis, and load it into a database.

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Relational Database Management Systems [RDBMS]
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CourseIntermediate
Relational Database Management Systems [RDBMS]

This course teaches you the fundamental concepts of relational databases and Relational Database Management Systems (RDBMS), including MySQL and PostgreSQL. In this course you will design relational databases, create tables, and load data.

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SQL Fundamentals with Python
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CourseIntermediate
SQL Fundamentals with Python

Learn the power behind data manipulation for data sets stored in relational databases using SQL or structured query language – a fundamental skill for anyone in the data sciences.

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Advanced SQL for Data Engineers
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CourseIntermediate
Advanced SQL for Data Engineers

Learn key SQL concepts like views, stored procedures, transactions, and JOINs to help you work more efficiently with databases.

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Linux Overview, Shell Commands and Bash Scripting
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CourseIntermediate
Linux Overview, Shell Commands and Bash Scripting

This course provides an overview of the Linux operating system and covers commonly used shell commands. It teaches you how to write shell scripts in Bash for automating repetitive tasks.

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RDBMS Database Administration (DBA)
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CourseIntermediate
RDBMS Database Administration (DBA)

This course helps you develop the core skills for Database Administration (DBA), including designing, implementing, securing, maintaining, troubleshooting, and automating relational databases (RDBMS) such as MySQL, PostgreSQL, and Db2.

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ETL & Data Pipelines with Bash, Airflow and Kafka
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CourseIntermediate
ETL & Data Pipelines with Bash, Airflow and Kafka

This course equips you with practical skills to build and manage data pipelines and ETL & ELT processes using shell scripts, Airflow, and Kafka. Practice course concepts using hands-on labs and projects.

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Data Warehouses and BI Analytics
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CourseIntermediate
Data Warehouses and BI Analytics

This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools. This course also covers data repositories including data marts, data lakes, data reservoirs, and Cognos Analytics for visualization.

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NoSQL Databases
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CourseIntermediate
NoSQL Databases

This course introduces you to the fundamentals of NoSQL databases. You will develop hands-on skills for working with MongoDB, Cassandra, and IBM Cloudant databases.

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Spark and Hadoop for Big Data Analytics
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CourseIntermediate
Spark and Hadoop for Big Data Analytics

This course provides foundational knowledge and analytical skills for big data practitioners using popular big data tools, including Hadoop and Spark. You will learn and practice your big data skills through hands-on activities.

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Machine Learning with Apache Spark
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CourseIntermediate
Machine Learning with Apache Spark

This course introduces the fundamentals of Machine Learning (ML) with Apache Spark, covering Spark Structured Streaming, ETL for ML Pipelines, and Spark ML. By the end of the course, you’ll gain hands-on experience applying Spark skills to ETL and ML workflows.

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Capstone Project: Data Engineering
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CourseAdvanced
Capstone Project: Data Engineering

This Capstone Project is designed for you to apply and showcase your skills and knowledge in Data Engineering, including SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools, and Big Data.

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Generative AI Skills for Data Engineers
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CourseIntermediate
Generative AI Skills for Data Engineers

Boost your Data Engineering career with Generative AI! Use GenAI for ETL, Data Pipelines, Data Architecture, Database Querying, Maintenance & Administration.

71 Enrolled

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Data Engineering Job Guide: Resume & Interview Preparation
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CourseBeginner
Data Engineering Job Guide: Resume & Interview Preparation

Get interview-ready for your next data engineer job application and create an eye-catching resume and portfolio employers will love!

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