About this course

In this Capstone you’ll demonstrate your ability to perform like a Data Engineer. Your mission is to design, implement, and manage a complete data and analytics platform consisting of relational and non-relational databases, data warehouses, data pipelines, big data processing engines, and Business Intelligence (BI) tools.
This Capstone project will require that you apply and sharpen the skills and knowledge you developed in the various courses in the IBM Data Engineering Professional Certificate and utilize multiple tools and technologies to design databases, collect data from multiple sources, extract, transform and load data into a data warehouse, and utilize a cloud-based BI tool to create analytic reports and visualizations. You will also implement predictive analytics and machine learning models using big data tools and techniques.
This capstone requires significant amount of hands-on lab effort throughout the course. You’ll exhibit your knowledge and proficiency working with Python, Bash scripts, SQL, NoSQL, RDBMSes, ETL, MySQL, PostgreSQL, Db2, MongoDB, Apache Airflow, Apache Spark, and Cognos Analytics.
Upon successfully completing this Capstone, you should have the confidence and portfolio to take on real-world data engineering projects and showcase your abilities to perform as an entry-level data engineer.

At a Glance:
Institution: IBM
Subject: Computer Science
Level: Introductory
Prerequisites:
None
Associated programs:
Professional Certificate in Data Engineering
Language: English
Video Transcript: English
Associated skills:Predictive Analytics, PostgreSQL, Relational Database Management Systems, MySQL, Relational Databases, Data Collection, Data Engineering, Bash (Scripting Language), Apache Spark, SQL (Programming Language), Data Warehousing, MongoDB, Business Intelligence, Extract Transform Load (ETL), Machine Learning, Big Data, NoSQL, Python (Programming Language), IBM DB2, Apache Airflow