BI Foundations with SQL, ETL and Data Warehousing, Short Course | Part time online | Coursera | United States
2 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Springboard for BI Analytics success. Develop hands-on skills for building data pipelines, warehouses, reports and dashboards. This BI Foundations with SQL, ETL and Data Warehousing program course is offered by Coursera in partnership with IBM.

Visit the Visit programme website for more information

Overview

This BI Foundations with SQL, ETL and Data Warehousing program course is offered by Coursera in partnership with IBM.

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

Skills you'll gain

  • Python Programming
  • Cloud Databases
  • Relational Database Management System (RDBMS)
  • SQL
  • Jupyter notebooks
  • Data Warehousing
  • Business Intelligence (BI)
  • cognos analytics
  • Cube and Rollup
  • Star and Snowflake Schema
  • Shell Script
  • Bash (Unix Shell)
  • Extract Transform and Load (ETL)
  • Linux
  • Linux Commands
  • Data Engineer
  • Apache Kafka
  • Apache Airflow
  • Data Pipelines
  • View less skills

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access

Programme Structure

Courses included:

  • Hands-on Introduction to Linux Commands and Shell Scripting
  • Databases and SQL for Data Science with Python
  • ETL and Data Pipelines with Shell, Airflow and Kafka
  • Getting Started with Data Warehousing and BI Analytics

Key information

Duration

  • Part-time
    • 2 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No prior experience required

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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