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Get job-ready for your first role in BI. Build the in-demand skills you need to get started in business intelligence (BI) in just 2 months. No degree or prior experience required.
Instructors: IBM Skills Network Team
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Sought-after business intelligence skills that will help you get your first job in BI
How to run frequently used SQL queries to work with RDBMS and automate ETL jobs and data pipelines using BASH scripts, Apache Airflow & Kafka
How to design data warehouses using STAR and snowflake schemas, load/verify data in staging areas, build cubes, rollups, & materialized views/tables
How to analyze data in warehouses for interactive reports and create dashboards using BI tools such as Cognos Analytics and Google Looker
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The job market for business intelligence (BI) analysts is expected to grow by23 percent from 2021 to 2031 (US Bureau of Labor Statistics). This IBM specialization gives you sought-after skills employers look for when recruiting for a BI analyst.
BI analysts gather, clean, and analyze key business data to find patterns and insights that aid business decision-making.
During this specialization, you’ll learn the basics of SQL, focusing on how to query relational databases using this popular and powerful language. You’ll use essential Linux commands to create basic shell scripts. Plus, you’ll learn how to build and automate ETL, ELT, and data pipelines using BASH scripts, Apache Airflow, and Apache Kafka.
You’ll discover why companies use data lakes and data marts, and work with adata warehouse. Plus, you’ll dive into the rewarding aspect of BI, creating interactive reports and dashboards so you can derive insights from data in your warehouse.
Additionally, you’ll gain valuable hands-on practice employing real-world tools used by data professionals. Each course has numerous hands-on labs and includes a project, which gives you plenty to talk about in interviews.
When you complete the full program, you’ll have a shareableportfolio of projects and a Specialization certificate for your resume and LinkedIn profile.
Get started on an in-demand business intelligence role. Enroll today.
Applied Learning Project
Using hands-on labs and course projects hosted in cloud-based environments, you’ll gain job-ready experience with the following real-world tools and tasks:
Writing SQL queries and creating joins using PostgreSQL, MySQL, and DB2 databases
Running Linux commands and pipes, creating shell scripts
Scheduling jobs using cron, building ETL and data pipelines, creating & monitoring Airflow DAGs, working with streaming data using Kafka
Designing data warehouses using star and snowflake schemas
Verifying data quality, loading staging, and production warehouses
Developing cubes, rollups, and materialized views/tables
Creating interactive reports and dashboards
Analyzing warehouse data using BI tools such as Cognos Analytics
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.
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.
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.
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.
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
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
The specialization is self-paced and requires 36-48 hours of effort to complete. Learners taking the course part-time e.g. 3-4 hours per week can complete in 3-4 months. Learners taking the courses full-time can complete considerably faster.
Basic computer literacy, some data literacy, and a passion to self-learn online are the only pre-requisites. No prior database or data warehouse skills required although some learners may benefit from a little programming experience.
It is highly recommended the courses be taken in the order they are listed as later courses build on concepts taught in previous ones.
No university credit is associated with this Specialization at this time.
Upon completing this specialization you will be able to:
List and execute commonly used Linux/Unix commands
Create pipes, shell scripts and schedule cron jobs
Query relational databases using SQL and perform CRUD operations
Filter, ORDER, aggregate and JOIN data in tables
Automate ETL and ELT tasks using BASH scripts
Build batch and streaming data pipelines with Apache Airflow and Kafka
Differentiate between Data Lakes, Data Marts and Enterprise Data Warehouses (EDW)
Design Data Warehouses, load staging areas, verify data quality
Create cubes, rollups and summary/materialized views/MQTs
Analyze warehouse data using reports and interactive dashboards
Work hands-on with real tools including Linux, Db2, MySQL, PostgreSQL, Airflow, Kafka, Cognos Analytics
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025)
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