IBM
BI Foundations with SQL, ETL and Data Warehousing Specialization
IBM

BI Foundations with SQL, ETL and Data Warehousing Specialization

Springboard for BI Analytics success. Develop hands-on skills for building data pipelines, warehouses, reports and dashboards.

Taught in English

Some content may not be translated

Rav Ahuja
Hima Vasudevan
Yan Luo

Instructors: Rav Ahuja

6,842 already enrolled

Specialization - 4 course series

Get in-depth knowledge of a subject

4.6

(278 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

  • Write SQL queries to work with relational databases including CREATE TABLE, SELECT, INSERT, UPDATE, DELETE, ORDER, JOIN, Functions, etc.

  • Execute commonly used Linux commands; Automate Extract, Transform and Load (ETL) jobs and data pipelines using BASH scripts, Apache Airflow & Kafka

  • Design Data Warehouses using star and snowflake schemas, loading and verify data in staging areas, build cubes, rollups and materialized views/tables

  • Analyze data in warehouses using interactive reports and dashboards using BI tools such as Cognos Analytics

Details to know

Shareable certificate

Add to your LinkedIn profile

Specialization - 4 course series

Get in-depth knowledge of a subject

4.6

(278 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 4 course series

Hands-on Introduction to Linux Commands and Shell Scripting

Course 114 hours4.7 (1,084 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 hours4.6 (19,229 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: Python Programming
Category: Cloud Databases
Category: Relational Database Management System (RDBMS)
Category: SQL
Category: Jupyter notebooks

ETL and Data Pipelines with Shell, Airflow and Kafka

Course 316 hours4.5 (285 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: Extract Transform and Load (ETL)
Category: Data Engineer
Category: Apache Kafka
Category: Apache Airflow
Category: Data Pipelines

Getting Started with Data Warehousing and BI Analytics

Course 416 hours4.4 (146 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

Instructors

Rav Ahuja
IBM
53 Courses2,330,473 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Management? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

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

Upskill your employees to excel in the digital economy

Frequently asked questions