SQL for Data Science - Window Functions

Learn the window functions of SQL for Data Science. Hands on Exercises. Covers theory and complete python code implementation.

  • Learn the window functions of SQL for Data Science
  • Hands on Exercises
  • Covers theory and complete python code implementation

Prabhakaran SPrincipal Data Scientist

Included in All-Access, one membership for every course.

Preview the first lesson · 21:16
Lessons
9, in 3 chapters
Video
1 h 6 min
Free to watch
1 lesson
Certificate
On completion

What you'll be able to do

  • Introduction to Window Functions
  • Winodw Functions types
  • Syntax and Usage
  • Advanced Examples
  • Best Practices

Course content

3 chapters · 9 lessons · 1 h 6 min · 1 free to preview

  1. 01SQL Window Functions7 lessons · 59 min
    1. Understanding Window FunctionsPreview21:16
    2. Download Resources1:00
    3. Window Functions – Type 1 Ranking11:03
    4. Window Functions - Type 2 Comparing boundaries with Offsets5:00
    5. Offset Functions – Example 28:08
    6. Window Functions - Type 3 Rolling Aggregates with ROWS BETWEEN clause11:36
    7. Course Review1:00
  2. 02Self Assessment Test1 lesson · 5 min
    1. Window Functions Assignments5:06
  3. 03Pivoting Data in SQL1 lesson · 4 min
    1. Pivoting Data in SQL3:52

What you need

  • Basics of Python
  • Foundational knowledge of Data Science
  • High school maths

Who this course is for

  • Data Science Aspirants
  • Data Science Professionals
  • Software/Data engineers interested in quantitative analysis
  • Professionals working with large datasets
  • Data analysts, economists, researchers

Your instructor

Prabhakaran S

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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Questions

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