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Rav Ahuja, Ramesh Sannareddy, Yan Luo, Lin Joyner, Jeff Grossman, and Rose Malcolm

Data Warehouse Engineers and Business Analysts are in high demand as organizations become increasingly dependent on data to support their operations.

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Data Warehouse Engineers and Business Analysts are in high demand as organizations become increasingly dependent on data to support their operations.

Data warehousing has transformed the way organizations perform business analysis and make strategic decisions. Massive amounts of data from multiple sources can be easily accessed using SQL and formatted for analysis, reporting and Business Intelligence for organizations to gain deeper business insights.

The Data Warehouse Engineer Professional Certificate provides you the skills and knowledge to design, deploy and manage Enterprise Data Warehouses (EDW) and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards.

Upon completing this program, you’ll gain practical experience to work with Relational Database Management Systems (RDBMS), query data using SQL statements, utilize Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines using Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You’ll also acquire the skills to build and operationalize Data Warehouses and conduct data analysis.

Within each course you’ll practice your skills with numerous hands-on labs and multiple projects to add to your portfolio for launching your career.

To get started, all you need is basic computer literacy and the desire to learn and practice new skills.

What you'll learn

  • Create shell scripts using common Linux/UNIX shell commands.
  • Describe relational database concepts, create a relational database on cloud, execute SQL statements, and access databases using SQL.
  • Build batch and streaming ETL and ELT Data Pipelines using Bash, Apache Airflow and Kafka.
  • Design, model, and implement a data warehouse and analyze its data using Business Intelligence tools like IBM Cognos.

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What's inside

Seven courses

SQL Concepts for Data Engineers

(4 hours)
This course builds on your existing SQL knowledge to learn about additional techniques that are key to Data Engineers. You will learn how to create and use views, create and execute stored procedures, work with ACID transactions, and query multiple tables using JOIN operators.

Relational Database Basics

(10 hours)
This course introduces relational databases and Relational Database Management Systems (RDBMS). You will explore relational database design, learn how to transform source data into tables, and apply relational database design principles to your own data. You’ll get an introduction to Structured Query Language (SQL) and use it to add keys and constraints. No prior knowledge of databases or programming is required.

Data Engineering Basics for Everyone

(38 hours)
Welcome to Data Engineering Basics. This course introduces data engineering concepts, ecosystem, lifecycle, processes, and tools. You'll learn about data platforms, data repositories, data integration platforms, data pipelines, and BI and reporting tools. Through hands-on labs, you'll provision a data store on IBM cloud, prepare and load data, and perform basic operations on data.

Linux Commands & Shell Scripting

(3 hours)
This mini-course provides a practical introduction to commonly used Linux / UNIX shell commands and teaches you basics of Bash shell scripting to automate tasks. The course includes video-based lectures and hands-on labs to practice what you learn. You will have access to a virtual Linux server through your web browser, so you don't need to download and install anything to perform the labs.

Building ETL and Data Pipelines with Bash, Airflow and Kafka

(15 hours)
Well-designed and automated data pipelines and ETL processes are the foundation of a successful Business Intelligence platform. This course provides the critical knowledge and skills needed by Data Engineers and Data Warehousing specialists to create and manage ETL, ELT, and data pipeline processes.

Relational Database Administration (DBA)

(20 hours)
Managing databases ensures data is reliable, protected, and accessible for organizations to make better decisions. This course provides the knowledge and hands-on experience to manage and maintain databases, understand database security, design and define database schemas, tables, views, and other database objects, describe storage, perform backups and recovery, troubleshoot errors, monitor and optimize performance and automate tasks.

Data Warehousing and BI Analytics

(15 hours)
Today's businesses are investing heavily in capabilities to harness the massive amounts of data that fuel Business Intelligence (BI). Working knowledge of Data Warehouses and BI Analytics tools are a crucial skill for Data Engineers, Data Warehousing Specialists and BI Analysts, making who are amongst, the most valued resources for organizations.

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