SQL For Data Analysis > SQL FUNCTIONS

SQL Window Functions for Data Analysis

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A window function, also known as an analytic function in SQL, is a function that returns a result for each row using values from one or more rows.

Analytic functions use a group of rows to calculate an aggregate value. Analytic functions, unlike aggregate functions, can return numerous rows for each group. To compute moving averages, running totals, percentages, or top-N outcomes inside a group, use analytic functions.

Users can utilise window functions to do calculations on partitions (also known as subgroups or sections) of a result set, such as a table or the results of another query.

Because they work with a "window frame" — a collection of rows related to the current row that may be specified more precisely with the ROWS or RANGE keywords.

Two functions that you can nest as an argument of a window aggregate function are referred to as nested window functions. The nested row number function and the nested value of expression at row function are the two functions.

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Aman Kanaujia
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All good , but provide the data also for the assignment , Without data the interest is less day by day from the course. So, try to solve this problem as asap.

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Snehil
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Everything is good but keyboard sounds more harsh and overlap your voice whereas this course is best.

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FAROOK MOHAMMAD
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Hello sir, explaination is excellent. I have a request please send the db in excel or SQL file.

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Hari Prakash
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In SQL Join Function's 2nd video - Teacher's voice dose not match with background content that are plays

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Aakash Mavar
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Ashok Kumar Sonkar
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Super Duper Traning

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Harshit Chauhan
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Swati Patil
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Excellent

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Avinash Rawat
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Pravin Kashid
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excellent teaching technique...one of the best course content...

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  1. Getting Started
    18m 54s

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  3. What is DBMS
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  1. Aggregate Functions in SQL for Data Analysis
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  2. SQL Mathematical Functions for Data Analysis
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  4. SQL Date & Time Functions for Data Analysis
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  5. SQL Window Functions for Data Analysis
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  6. SQL Miscellaneous Functions
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  7. SQL Functions for Data Analytics - 1
    38m 28s
  8. SQL Functions for Data Analytics - 2
    40m 5s
  9. Rollup and NTile Function
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  10. Row Number Function
    8m 3s
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  12. How to use SQL Conditional Statements
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    23m 24s
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    22m 42s
  7. SQL Insert - Considerations and Best Practices
    9m 19s
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  11. Assignment : SQL Insert, Update & Delete
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  1. Course Summary
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  1. Interview Questions Part 1
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