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Course Description

To make informed business decisions, modern organizations need data to be effectively integrated, manipulated, and analyzed on a colossal scale. While SQL is a relevant piece of this process, there are a variety of other tools that can be used to make that data actionable. Your ability to manage large datasets effectively may therefore require the incorporation of additional programming languages and platforms to provide specific analytics.

In this course, you will examine how to approach large datasets accurately and efficiently with a focus on scalability and automation. You will go from identifying how to efficiently manipulate and analyze large datasets to understanding how SQL relates to the infrastructure underlying all modern web services. Along the way, you will work with more complex joins, discover how to systematically debug, and understand how SQL can be integrated with other programming languages, supporting your skills in this crucial area of digital business operations.

The following courses are required to be completed before taking this course:

  • Exploring Data
  • Integrating Data From Multiple Tables
  • Extracting Insights From Data
  • Fundamentals of Database Design

Faculty Author

Vishal Gaur and Shawn Mankad

Benefits to the Learner

  • Create accurate reports using complex clauses
  • Verify that your code is accurate
  • Work with large datasets to address scalability and automation
  • Assess SQL as it compares with other programming languages and databases

Target Audience

  • Business analysts
  • Professionals who work with databases or data warehouses
  • Managers using data insights to make business decisions
  • Marketing analysts
  • Product analysts

Applies Towards the Following Certificates

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Cornell Johnson Graduate School of Management
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