SQL For Data Analysis > SQL FUNCTIONS

Aggregate Functions in SQL for Data Analysis

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In SQL, an aggregate function calculates numerous values and returns a single result. Avg, count, sum, min, max, and other aggregate methods are available in SQL. Except for the count function, an aggregate function ignores NULL values when performing calculations.

  • AVG – calculates the average of a set of values.
  • COUNT – counts rows in a specified table or view.
  • MIN – gets the minimum value in a set of values.
  • MAX – gets the maximum value in a set of values.
  • SUM – calculates the sum of values.

A majority of large corporations utilise SQL all across the world. A data analyst can use SQL to access, read, alter, and analyse data contained in a database in order to generate meaningful insights that will help them make better decisions.

To count the amount of rows in a column or table, use the term COUNT. To obtain the mean of a number column, use the phrase AVG. When all the values in a numerical column are added together, use the phrase SUM to find the total. To group data in a table by a column, use the term GROUP BY.

A mathematical computation employing a range of values that yields a single value indicating the significance of the accumulated data it is formed from is known as an aggregate function. Descriptive statistics are frequently derived using aggregate functions.

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Khushi Kumari Yadav
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how can i get pdf of this session

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Arvind Kumar
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very nice course for begginer to under stand

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hemant
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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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Juboraj Juboraj
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Explain details & easy to understand.

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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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Hello sir Mera Abhi graduation hu he Mene Mechanical Engineering BTech ki Hai me Data analysis me Apna career Bana skat ho Kya

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Ashok Kumar Sonkar
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Super Duper Traning

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Course Content

  1. Getting Started
    18m 54s

  1. SQL Datatypes
    10m 5s
  2. SQL Commands
    21m 59s
  3. What is DBMS
    27m 51s
  4. What is RDBMS
    5m 23s

  1. Database Relationships
    11m 35s
  2. Primary Key
    6m 50s
  3. Unique Key
    3m 34s
  4. Foreign Key
    4m 2s
  5. Difference between PK, UK and PK & FK
    6m 6s

  1. SQL Server Installation Step by Step
    8m 2s

  1. How to Create Database in SQL Server
    13m 2s
  2. Assignment : SQL Create Table
    5m 5s

  1. SQL Constraints
    29m 1s
  2. SQL Insert Statement and SQL Alias
    28m 12s

  1. Filtering Data using Selection Command
    31m 53s
  2. Filtering Data using Comparison Operator
    28m 52s
  3. SQL Order by Clause
    25m 56s
  4. Assignment : Ordering and Filtering
    26m 58s

  1. Aggregate Functions in SQL for Data Analysis
    22m 31s
  2. SQL Mathematical Functions for Data Analysis
    21m 31s
  3. SQL String Functions for Data Analysis
    15m 51s
  4. SQL Date & Time Functions for Data Analysis
    17m 20s
  5. SQL Window Functions for Data Analysis
    23m 34s
  6. SQL Miscellaneous Functions
    20m 10s
  7. SQL Functions for Data Analytics - 1
    38m 28s
  8. SQL Functions for Data Analytics - 2
    40m 5s
  9. Rollup and NTile Function
    26m 36s
  10. Row Number Function
    8m 3s
  11. DenseRank and Cumulative Distribution
    29m 12s
  12. How to use SQL Conditional Statements
    4m 22s
  13. How to use SQL Group by Clause
    4m 55s
  14. SQL Practical with Examples
    49m 46s
  15. Assignment : SQL Date and Time
    15m 16s

  1. Type of Joins in SQL - INNER, LEFT
    21m 24s
  2. Type of Joins in SQL - RIGHT,SELF,FULL, CARTESIAN
    15m 14s
  3. SQL Joins Practical Session 1
    22m 17s
  4. SQL Joins Practical Session 2
    23m 29s
  5. SQL Joins Practical Session 3
    27m 43s
  6. SQL Joins Practical Session 4
    22m 26s
  7. SQL Joins Practical Session 5
    29m 41s
  8. Assignment : SQL Joins
    15m 5s
  9. Assignment : SQL Functions 1
    13m 25s
  10. Assignment : SQL Functions 2
    9m 25s

  1. Practice: SQL Subqueries
    26m 41s
  2. Practice: SQL Subqueries & Unions
    22m 29s
  3. SQL Correlated Subqueries Part 1
    20m 21s
  4. SQL Correlated Subqueries Part 2
    30m 51s
  5. SQL Correlated Subqueries Part 3
    30m 45s
  6. SQL Correlated Subqueries Part 4
    25m 7s
  7. SQL Correlated Subqueries Part 5
    19m 42s
  8. Correlated Select, Update & Delete Queries
    33m 15s
  9. SQL Union
    18m 3s
  10. SQL EXCEPT & INTERSECT
    14m 33s
  11. Assignment : SQL SubQueries
    30m 7s

  1. SQL Pivot, UnPivot Practical Example - 1
    37m 28s
  2. SQL Pivot, UnPivot Practical Example - 2
    27m 40s

  1. What are Views?
    22m 19s
  2. Examples of SQL Views Part -1
    16m 41s
  3. Examples of SQL Views Part -2
    17m 47s
  4. Assignment : SQL Views
    10m 17s

  1. What is SQL Index?
    13m 29s
  2. SQL Index types
    24m 50s

  1. Create Tables using Select Statement
    41m 2s
  2. Using Correlated Sub Query, Group By with Select Statement
    40m 2s
  3. Using Group By and Having Clauses with Select Statement
    23m 32s
  4. Using Index Optimizer with Select Statement
    23m 24s
  5. Using Union with Select Statement
    35m 4s
  6. Adding Multiple Records with Insert Statement
    22m 42s
  7. SQL Insert - Considerations and Best Practices
    9m 19s
  8. Insertion from Multiple Tables
    22m 11s
  9. SQL Delete - Types of Delete Operation Part -1
    16m 41s
  10. SQL Delete - Types of Delete Operation Part -2
    11m 38s
  11. Assignment : SQL Insert, Update & Delete
    7m 24s

  1. Loading & Connecting Different Files in SQL
    11m 18s

  1. Course Summary
    9m 6s

  1. Interview Questions Part 1
    22m 2s
  2. Interview Questions Part 2
    20m 56s

  1. Career Guideline
    2m
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