Data Analysis With PostgreSQL: Analytic |Aggregate Functions

Data Analysis With PostgreSQL: Analytic |Aggregate Functions, available at $19.99, has an average rating of 3.65, with 27 lectures, based on 12 reviews, and has 879 subscribers.

You will learn about Install PostgreSQL Create and populate a table Load sample database Connect to database Analyse data with AVG aggregate function Analyse data with SUM aggregate function Analyse data with COUNT aggregate function Analyse data with MAX aggregate function Analyse data with MIN aggregate function Analyse data with FIRST VALUE analytic function Analyse data with RANK analytic function Analyse data with DENSE RANK analytic function Analyse data with LAST analytic function Analyse data with LAG analytic function This course is ideal for individuals who are Beginner DBA or Anyone who wants to learn something new. It is particularly useful for Beginner DBA or Anyone who wants to learn something new.

Enroll now: Data Analysis With PostgreSQL: Analytic |Aggregate Functions

Summary

Title: Data Analysis With PostgreSQL: Analytic |Aggregate Functions

Price: $19.99

Average Rating: 3.65

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Install PostgreSQL
Create and populate a table
Load sample database
Connect to database
Analyse data with AVG aggregate function
Analyse data with SUM aggregate function
Analyse data with COUNT aggregate function
Analyse data with MAX aggregate function
Analyse data with MIN aggregate function
Analyse data with FIRST VALUE analytic function
Analyse data with RANK analytic function
Analyse data with DENSE RANK analytic function
Analyse data with LAST analytic function
Analyse data with LAG analytic function

Who Should Attend

Beginner DBA
Anyone who wants to learn something new.

Target Audiences

Beginner DBA
Anyone who wants to learn something new.

Due to the ever increasing reliance and growth of data there is even a greater demand for professionals who can help analyse these large volume of data that is used daily in applications that we use and rely on daily like Facebook, Instagram,bank apps etc.

Aggregate functions perform a calculation on a set of values and return a single value. Analytic functions compute an aggregate value based on a set of values, and, unlike aggregate functions, can return multiple rows for each set of values.�

If you want to run a query using only aggregate functions, the query will return one row with a column for each field. If you want to run a query using an aggregate function in conjunction with the GROUP BY function, the query will return one row for each value found in the grouped field.

If you want to run a query using an analytic function, the query will return one row for each field in the defined range of fields used to perform the calculations.
If you use an aggregate function with any other function in a query, one field in the query must contain the GROUP BY function.�

Analytic functions are frequently used in fields such as finance and science to provide trend, outlier, and bucketed analysis for large data sets

Unlike traditional aggregation functions, which return only a single value for each group defined in the query, Analytic functions return a single value for each input row .They increase the efficiency and reduce the complexity of queries that analyse partitions (windows) of a data set.

This course will use aggregate and analytic functions to query and analyse data from a PostgreSQL database.

Course Curriculum

Chapter 1: Database Setup

Lecture 1: Introduction

Lecture 2: System Requirements

Lecture 3: Downloading PostgreSQL

Lecture 4: Installing PostgreSQL ( Windows)

Lecture 5: Verifying Installaton

Lecture 6: Installing PostgreSQL (MacOS)

Lecture 7: Connecting to PostgreSQL Database

Lecture 8: Loading sample Database

Lecture 9: Create a Table

Lecture 10: Populate the table

Lecture 11: Query the table

Chapter 2: Analysing Data Using Aggregate Functions

Lecture 1: What are Aggregate functions

Lecture 2: Using COUNT function

Lecture 3: Using SUM function

Lecture 4: Using AVG function

Lecture 5: Using MAX function

Lecture 6: Using MIN function

Chapter 3: Analysing Data Using Analytic Function

Lecture 1: What are Analytic functions

Lecture 2: Create Sample Tables

Lecture 3: Using AVG as Windows Function

Lecture 4: Using ROW Number functions

Lecture 5: Using RANK function

Lecture 6: Using DENSE RANK functions

Lecture 7: Using FIRST VALUE functions

Lecture 8: Using LAST function

Lecture 9: Using LAG function

Lecture 10: Thank You

Instructors

Bluelime Learning Solutions
Making Learning Simple

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1 stars: 1 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 2 votes
5 stars: 5 votes

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