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

IBM Skills Network Team
Shubhra Das
Rav Ahuja

Instructors: IBM Skills Network Team

Included with Coursera Plus

Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(302 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

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Recently updated!

June 2024

Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(302 reviews)

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

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Specialization - 5 course series

Hands-on Introduction to Linux Commands and Shell Scripting

Course 114 hours4.7 (1,161 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 (19,595 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 316 hours4.5 (309 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 (158 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

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
57 Courses794,408 learners
Shubhra Das
3 Courses1,056 learners

Offered by

IBM

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