IBM
BI Foundations with SQL, ETL and Data Warehousing Specialization

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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.

Rav Ahuja
Hima Vasudevan
Lavanya Thiruvali Sunderarajan

Instructors: Rav Ahuja

13,358 already enrolled

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Get in-depth knowledge of a subject
4.6

(416 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(416 reviews)

Beginner level
No prior experience required
2 months to complete
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

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Taught in English

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Specialization - 4 course series

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: Linux Commands
Category: Shell Script
Category: Linux
Category: Unix Commands
Category: File Systems
Category: File Management
Category: Scripting
Category: Unix
Category: Linux Administration
Category: Bash (Scripting Language)
Category: Command-Line Interface
Category: Software Installation
Category: Operating Systems
Category: Network Protocols
Category: OS Process Management
Category: Ubuntu
Category: Automation

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: SQL
Category: Pandas (Python Package)
Category: Jupyter
Category: Data Manipulation
Category: Relational Databases
Category: Databases
Category: Data Analysis
Category: Query Languages
Category: Transaction Processing
Category: Stored Procedure
Category: Python Programming

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, Load
Category: Data Pipelines
Category: Apache Airflow
Category: Apache Kafka
Category: Shell Script
Category: Web Scraping
Category: Data Integration
Category: Scalability
Category: Performance Tuning
Category: Data Warehousing
Category: Unix Shell
Category: Big Data
Category: Data Migration
Category: Data Processing
Category: Data Transformation
Category: Data Mart
Data Warehouse Fundamentals

Data Warehouse Fundamentals

Course 415 hours

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: Data Warehousing
Category: Data Lakes
Category: Data Mart
Category: Snowflake Schema
Category: Star Schema
Category: IBM DB2
Category: Extract, Transform, Load
Category: Data Integration
Category: Data Validation
Category: Data Quality
Category: Data Architecture
Category: PostgreSQL
Category: SQL
Category: Data Modeling
Category: Query Languages
Category: Database Systems
Category: Database Design
Category: Data Cleansing

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Instructors

Rav Ahuja
IBM
56 Courses4,609,205 learners

Offered by

IBM

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¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (1/1/2025 - 1/1/2026)