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Course Description

The degree to which business decisions are informed is dependent on the accuracy of related analytics reports, which requires that you assess performance regularly using the latest data. Standardized SQL code is often implemented to ensure that summary reports are up to date for businesses, but this process can be a challenge for teams.

Instead, in this course, you will assess how to extract insights from data more efficiently using a variety of new tools. You will work with time-stamped data and explore how large, intricate queries can be simplified and more easily debugged. Along the way, you will discover how to approach queries using conditional logic and temporary tables, empowering you to resolve complex problems efficiently.

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

  • Exploring Data
  • Integrating Data From Multiple Tables

Faculty Author

Vishal Gaur

Benefits to the Learner

  • Create expressions to clean and manipulate dates and date calculations
  • Use conditional logic to clean messier types of data and distill useful information from raw data
  • Write complex, multi-step queries using temporary tables to answer more intractable business problems

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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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Jun 05, 2024 to Jun 18, 2024
Total Number of Hours
24.0
Course Fee(s)
Contract Fee $0.00
Section Notes

IMPORTANT COURSE INFORMATION

  • During this program, you will need to download SQLite from the course onto your computer. Once the course has become available, you can find installation instructions in the section labeled “Course Resources” in your module list. Please be prepared to install SQLite as indicated in the context of the first course.
  • Please note that the content in our “Data Management in SQL” course curriculum was developed to be completed in sequential order, as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed “Exploring the Data” prior to “Integrating Data From Multiple Tables,” “Integrating Data From Multiple Tables” prior to “Extracting Insights From the Data,” and so on.
Type
2 week
Dates
Aug 14, 2024 to Aug 27, 2024
Total Number of Hours
24.0
Course Fee(s)
Contract Fee $0.00
Section Notes

IMPORTANT COURSE INFORMATION

  • During this program, you will need to download SQLite from the course onto your computer. Once the course has become available, you can find installation instructions in the section labeled “Course Resources” in your module list. Please be prepared to install SQLite as indicated in the context of the first course.
  • Please note that the content in our “Data Management in SQL” course curriculum was developed to be completed in sequential order, as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed “Exploring the Data” prior to “Integrating Data From Multiple Tables,” “Integrating Data From Multiple Tables” prior to “Extracting Insights From the Data,” and so on.
Type
2 week
Dates
Oct 23, 2024 to Nov 05, 2024
Total Number of Hours
24.0
Course Fee(s)
Contract Fee $0.00
Section Notes

IMPORTANT COURSE INFORMATION

  • During this program, you will need to download SQLite from the course onto your computer. Once the course has become available, you can find installation instructions in the section labeled “Course Resources” in your module list. Please be prepared to install SQLite as indicated in the context of the first course.
  • Please note that the content in our “Data Management in SQL” course curriculum was developed to be completed in sequential order, as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed “Exploring the Data” prior to “Integrating Data From Multiple Tables,” “Integrating Data From Multiple Tables” prior to “Extracting Insights From the Data,” and so on.
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