BI Foundations with SQL, ETL and Data Warehousing Specialization

BI Foundations with SQL, ETL and Data Warehousing Specialization

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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5 course series

Get in-depth knowledge of a subject

4.6

(333 reviews)

Beginner level

No prior experience required

2 months

at 10 hours a week

Flexible schedule

Learn at your own pace

5 course series

Get in-depth knowledge of a subject

4.6

(333 reviews)

Beginner level

No prior experience required

2 months

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Advance your subject-matter expertise

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Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from IBM

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Specialization - 5 course series

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

Hands-on Introduction to Linux Commands and Shell Scripting

Course 114 hours4.7 (1,326 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: Shell Script

Category: Bash (Unix Shell)

Category: Extract Transform and Load (ETL)

Category: Linux

Category: Linux Commands

Databases and SQL for Data Science with Python

Course 220 hours4.7 (20,506 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: Extract Transform and Load (ETL)

Category: Data Engineer

Category: Apache Kafka

Category: Apache Airflow

Category: Data Pipelines

ETL and Data Pipelines with Shell, Airflow and Kafka

Course 317 hours4.5 (357 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: Python Programming

Category: Cloud Databases

Category: Relational Database Management System (RDBMS)

Category: SQL

Category: Jupyter notebooks

Data Warehouse Fundamentals

Course 415 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: Business Intelligence

Category: Data Visualization

Category: IBM Cognos Analytics

Category: Google Looker Studio

Category: Dashboards

BI Dashboards with IBM Cognos Analytics and Google Looker

Course 511 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: 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 Courses979,419 learners

Shubhra Das

5 Courses4,413 learners

Offered by

IBM

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Frequently asked questions

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.

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

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.

BI Foundations with SQL, ETL and Data Warehousing Specialization

What you'll learn

Skills you'll gain

Details to know

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

Advance your subject-matter expertise

Earn a career certificate

Specialization - 5 course series

Hands-on Introduction to Linux Commands and Shell Scripting

What you'll learn

Skills you'll gain

Databases and SQL for Data Science with Python

What you'll learn

Skills you'll gain

ETL and Data Pipelines with Shell, Airflow and Kafka

What you'll learn

Skills you'll gain

Data Warehouse Fundamentals

What you'll learn

Skills you'll gain

BI Dashboards with IBM Cognos Analytics and Google Looker

What you'll learn

Skills you'll gain

Instructors

Offered by

Why people choose Coursera for their career

New to Data Management? Start here.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

How long does it take to complete the Specialization?

What background knowledge is necessary?

Do I need to take the courses in a specific order?

More questions