IBM
IBM Data Warehouse Engineer Professional Certificate
IBM

IBM Data Warehouse Engineer Professional Certificate

Prepare for a career as a data warehouse engineer. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months. No prior experience required.

Taught in English

Some content may not be translated

Rav Ahuja
Sandip Saha Joy
Priya Kapoor

Instructors: Rav Ahuja

5,994 already enrolled

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Professional Certificate - 8 course series

Earn a career credential that demonstrates your expertise

4.7

(557 reviews)

Beginner level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

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

  • Learn how to deploy, manage, secure, operationalize, monitor and optimize relational database systems like MySQL, PostgreSQL, and BD2

  • Develop working knowledge of various types of SQL and queries to access and manipulate data in databases

  • Design and populate data warehouses and analyze the data with Business Intelligence (BI) tools like Cognos Analytics

Details to know

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Professional Certificate - 8 course series

Earn a career credential that demonstrates your expertise

4.7

(557 reviews)

Beginner level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Prepare for a career in Data Warehousing

  • Receive professional-level training from IBM
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from IBM
  • Qualify for in-demand job titles: Data Warehouse Developer, Data Warehouse Engineer, Data Warehouse Specialist
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$76,000+
median U.S. salary for Data Warehousing
¹
33,000+
U.S. job openings in Data Warehousing
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

    Plan your career move with Coursera's job search guide

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

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Professional Certificate - 8 course series

Introduction to Data Engineering

Course 112 hours4.7 (2,368 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

Introduction to Relational Databases (RDBMS)

Course 215 hours4.6 (518 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: Extract Transform and Load (ETL)
Category: Data Engineer
Category: Apache Kafka
Category: Apache Airflow
Category: Data Pipelines

SQL: A Practical Introduction for Querying Databases

Course 321 hours4.6 (249 ratings)

What you'll learn

  • Analyze data within a database using SQL.

  • Create a relational database on Cloud and work with tables.

  • Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.

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

Skills you'll gain

Category: Extraction, Transformation And Loading (ETL)
Category: Data Warehousing
Category: OLTP Databases
Category: Relational Database
Category: Data Pipelines

Hands-on Introduction to Linux Commands and Shell Scripting

Course 414 hours4.7 (1,104 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: Database Security
Category: Database (DBMS)
Category: Database Servers
Category: database administration
Category: Relational Database

Relational Database Administration (DBA)

Course 520 hours4.4 (168 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: Data Science
Category: Database (DBMS)
Category: Information Engineering
Category: SQL
Category: NoSQL

ETL and Data Pipelines with Shell, Airflow and Kafka

Course 616 hours4.5 (288 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 an ETL pipeline through shell scripting.

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

Skills you'll gain

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

Getting Started with Data Warehousing and BI Analytics

Course 716 hours4.4 (150 ratings)

What you'll learn

  • Explore the architecture, features, and benefits of data warehouses, data marts, and data lakes and identify popular data warehouse system vendors.

  • 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.

  • 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: Data Warehousing
Category: Business Intelligence (BI)
Category: cognos analytics
Category: Cube and Rollup
Category: Star and Snowflake Schema

What you'll learn

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

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

  • Showcase working knowledge with relational databases, data warehouses, and data pipelines.

  • You can use your expertise in Linux shell scripting, SQL, and business intelligence Cognos dashboard design, to tackle data warehousing problems.

Skills you'll gain

Category: Data Analysis
Category: Relational Database Management System (RDBMS)
Category: SQL
Category: Create, Read, Update And Delete
Category: MySQL

Instructors

Rav Ahuja
IBM
53 Courses2,371,495 learners
Sandip Saha Joy
IBM
5 Courses371,443 learners
Priya Kapoor
IBM
1 Course126,287 learners

Offered by

IBM

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