IBM
IBM Data Engineering Professional Certificate

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IBM

IBM Data Engineering Professional Certificate

Prepare for a career as a Data Engineer. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

IBM Skills Network Team
Muhammad Yahya
Abhishek Gagneja

Instructors: IBM Skills Network Team

97,440 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.6

(5,003 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.6

(5,003 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Master the most up-to-date practical skills and knowledge data engineers use in their daily roles

  • Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2 

  • Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 

  • Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards

Skills you'll gain

Details to know

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Taught in English
Recently updated!

June 2024

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Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
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$132,000+
median U.S. salary for Data Engineering
¹
59,000+
U.S. job openings in Data Engineering
¹

Get exclusive access to career resources upon completion

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  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

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Professional Certificate - 16 course series

Introduction to Data Engineering

Course 113 hours4.7 (2,766 ratings)

What you'll learn

  • List basic skills required for an entry-level data engineering role.

  • Discuss various stages and concepts in the data engineering lifecycle.

  • Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.

  • Summarize concepts in data security, governance, and compliance.

Skills you'll gain

Category: Shell Script
Category: Bash (Unix Shell)
Category: Extract Transform and Load (ETL)
Category: Linux
Category: Linux Commands

Python for Data Science, AI & Development

Course 225 hours4.6 (38,553 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you'll gain

Category: Cloud Database
Category: Mongodb
Category: Cassandra
Category: NoSQL
Category: Cloudant

Python Project for Data Engineering

Course 39 hours4.6 (678 ratings)

What you'll learn

  • Demonstrate your skills in Python for working with and manipulating data

  • Implement webscraping and use APIs to extract data with Python

  • Play the role of a Data Engineer working on a real project to extract, transform, and load data

  • Use Jupyter notebooks and IDEs to complete your project

Introduction to Relational Databases (RDBMS)

Course 415 hours4.6 (594 ratings)

What you'll learn

  • Describe data, databases, relational databases, and cloud databases.

  • Describe information and data models, relational databases, and relational model concepts (including schemas and tables). 

  • Explain an Entity Relationship Diagram and design a relational database for a specific use case.

  • Develop a working knowledge of popular DBMSes including MySQL, PostgreSQL, and IBM DB2

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Databases and SQL for Data Science with Python

Course 520 hours4.7 (20,571 ratings)

What you'll learn

  • Analyze data within a database using SQL and Python.

  • Create a relational database and work with multiple tables using DDL commands.

  • Construct basic to intermediate level SQL queries using DML commands.

  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

Skills you'll gain

Category: Machine Learning
Category: Machine Learning Pipelines
Category: Data Engineer
Category: SparkML
Category: Apache Spark

Hands-on Introduction to Linux Commands and Shell Scripting

Course 614 hours4.7 (1,347 ratings)

What you'll learn

  • Describe the Linux architecture and common Linux distributions and update and install software on a Linux system.

  • Perform common informational, file, content, navigational, compression, and networking commands in Bash shell.

  • Develop shell scripts using Linux commands, environment variables, pipes, and filters.

  • Schedule cron jobs in Linux with crontab and explain the cron syntax. 

Skills you'll gain

Category: Python Programming
Category: Relational Databases
Category: SQL
Category: NoSQL
Category: Data Pipelines

Relational Database Administration (DBA)

Course 721 hours4.4 (206 ratings)

What you'll learn

  • Create, query, and configure databases and access and build system objects such as tables.

  • Perform basic database management including backing up and restoring databases as well as managing user roles and permissions. 

  • Monitor and optimize important aspects of database performance. 

  • Troubleshoot database issues such as connectivity, login, and configuration and automate functions such as reports, notifications, and alerts. 

Skills you'll gain

Category: Python Programming
Category: Information Engineering
Category: Extract Transform and Load (ETL)
Category: Data Engineer
Category: Web Scraping

ETL and Data Pipelines with Shell, Airflow and Kafka

Course 817 hours4.5 (361 ratings)

What you'll learn

  • Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.

  • Explain batch vs concurrent modes of execution.

  • Implement ETL workflow through bash and Python functions.

  • Describe data pipeline components, processes, tools, and technologies.

Skills you'll gain

Category: Extract Transform and Load (ETL)
Category: Data Engineer
Category: Apache Kafka
Category: Apache Airflow
Category: Data Pipelines

Data Warehouse Fundamentals

Course 915 hours4.4 (187 ratings)

What you'll learn

  • Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.

  • Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.

  • Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.

  • How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.

Skills you'll gain

Category: Big Data
Category: SparkSQL
Category: SparkML
Category: Apache Hadoop
Category: Apache Spark

BI Dashboards with IBM Cognos Analytics and Google Looker

Course 1011 hours4.5 (12 ratings)

What you'll learn

  • Explore the purpose of analytics and Business Intelligence (BI) tools

  • Discover the capabilities of IBM Cognos Analytics and Google Looker Studio

  • Showcase your proficiency in analyzing DB2 data with IBM Cognos Analytics

  • Create and share interactive dashboards using IBM Cognos Analytics and Google Looker Studio

Skills you'll gain

Category: Python Programming
Category: Cloud Databases
Category: Relational Database Management System (RDBMS)
Category: SQL
Category: Jupyter notebooks

Introduction to NoSQL Databases

Course 1118 hours4.6 (302 ratings)

What you'll learn

  • Differentiate among the four main categories of NoSQL repositories.

  • Describe the characteristics, features, benefits, limitations, and applications of the more popular Big Data processing tools.

  • Perform common tasks using MongoDB tasks including create, read, update, and delete (CRUD) operations.

  • Execute keyspace, table, and CRUD operations in Cassandra.

Skills you'll gain

Category: Database Security
Category: Database (DBMS)
Category: Database Servers
Category: database administration
Category: Relational Database

Introduction to Big Data with Spark and Hadoop

Course 1219 hours4.4 (386 ratings)

What you'll learn

  • Explain the impact of big data, including use cases, tools, and processing methods.

  • Describe Apache Hadoop architecture, ecosystem, practices, and user-related applications, including Hive, HDFS, HBase, Spark, and MapReduce.

  • Apply Spark programming basics, including parallel programming basics for DataFrames, data sets, and Spark SQL.

  • Use Spark’s RDDs and data sets, optimize Spark SQL using Catalyst and Tungsten, and use Spark’s development and runtime environment options.

Skills you'll gain

Category: Data Science
Category: Database (DBMS)
Category: Information Engineering
Category: SQL
Category: NoSQL

Machine Learning with Apache Spark

Course 1315 hours4.5 (81 ratings)

What you'll learn

  • Describe ML, explain its role in data engineering, summarize generative AI, discuss Spark's uses, and analyze ML pipelines and model persistence.

  • Evaluate ML models, distinguish between regression, classification, and clustering models, and compare data engineering pipelines with ML pipelines.

  • Construct the data analysis processes using Spark SQL, and perform regression, classification, and clustering using SparkML.

  • Demonstrate connecting to Spark clusters, build ML pipelines, perform feature extraction and transformation, and model persistence.

Skills you'll gain

Category: Business Intelligence
Category: Data Visualization
Category: IBM Cognos Analytics
Category: Google Looker Studio
Category: Dashboards

Data Engineering Capstone Project

Course 1416 hours4.7 (108 ratings)

What you'll learn

  • Demonstrate proficiency in skills required for an entry-level data engineering role.

  • Design and implement various concepts and components in the data engineering lifecycle such as data repositories.

  • Showcase working knowledge with relational databases, NoSQL data stores, big data engines, data warehouses, and data pipelines.

  • Apply skills in Linux shell scripting, SQL, and Python programming languages to Data Engineering problems.

Skills you'll gain

Category: Convolutional Neural Network
Category: Information Engineering
Category: Querying Databases
Category: Data Generation
Category: Generative AI

Generative AI: Elevate your Data Engineering Career

Course 1512 hours4.9 (13 ratings)

What you'll learn

  • Leverage various generative AI tools and techniques in data engineering processes across industries

  • Implement various data engineering processes such as data generation, augmentation, and anonymization using generative AI tools

  • Practice generative AI skills in hands-on labs and projects for data warehouse schema design and infrastructure setup

  • Evaluate real-world case studies showcasing the successful application of Generative AI for ETL and data repositories

Skills you'll gain

Category: Database (DB) Design
Category: Postgresql
Category: Relational Database Management System (RDBMS)
Category: Database Architecture
Category: MySQL

Data Engineering Career Guide and Interview Preparation

Course 1611 hours4.7 (53 ratings)

What you'll learn

  • Describe the role of a data engineer and some career path options as well as the prospective opportunities in the field.

  • Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.

  • Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.

  • Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.

Skills you'll gain

Category: Cubes
Category: Data Warehousing
Category: Snowflake Schemas
Category: Data Lakes
Category: Rollups
Category: Data Marts
Category: Star Schemas

Instructors

IBM Skills Network Team
IBM
58 Courses988,198 learners
Muhammad Yahya
IBM
4 Courses64,962 learners
Abhishek Gagneja
IBM
5 Courses146,482 learners

Offered by

IBM

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

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Frequently asked questions

¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23. ²Based on program graduate survey responses, United States 2021.