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IBM

Data Warehousing Capstone Project

via Coursera

4.830 ratings at Coursera

Overview

In this course you will apply a variety of data warehouse engineering skills and techniques you have learned as part of the previous courses in the IBM Data Warehouse Engineer Professional Certificate. You will assume the role of a Junior Data Engineer who has recently joined the organization and be presented with a real-world use case that requires a data warehouse engineering solution.

Syllabus 5

  1. Data Platform Architecture and OLTP Database 2 hours

    In this module, you will design a data platform that uses MySQL as an OLTP database. You will be using MySQL to store the OLTP data.

  2. Build a Data Warehouse 5 hours

    In this module you will design and implement a data warehouse and you will then generate reports from the data in the data warehouse.

  3. Data Analytics 4.5 hours

    In this module, you will assume the role of a data engineer at an e-commerce company. Your company has finished setting up a data warehouse. Now you are assigned the responsibility to design a reporting dashboard that reflects the key metrics of the business.

  4. ETL & Data Pipelines 1.5 hours

    In this module, you will set up an ETL process using a Shell script to extract new transactional data for each day from the MySQL database and load it into the staging data warehouse in PostgreSQL. Later you will perform the transformation on the table in the staging warehouse to load the data in a…

  5. Final Submission 1.5 hours

    In this final module, you will submit the outcomes from your hands-on labs for evaluation. Your submission will be assessed either by an AI-based evaluation tool or through a peer-graded assessment,

Skills you'll practise

Data WarehousingExtract, Transform, Load

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From IBM, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (5 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Antonio CangianoEngineering Manager and AI Specialist, IBM Developer Skills Network

IBM is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (84/100).

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