SQL Data Analyst – SQL , Microsoft SQL, PostgreSQL, MySQL

SQL Data Analyst – SQL , Microsoft SQL, PostgreSQL, MySQL, available at $54.99, has an average rating of 4.35, with 109 lectures, based on 243 reviews, and has 15831 subscribers.

You will learn about Analyse and manipulate data Create Database and Tables Analyse data using aggregate functions Analyse data using analytic functions Analyse data using ranking functions Analyse data using various operators Analyse data using sub queries Analyse data using views This course is ideal for individuals who are Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Beginner Data Analyst or Beginner Data Scientist.

Enroll now: SQL Data Analyst – SQL , Microsoft SQL, PostgreSQL, MySQL

Summary

Title: SQL Data Analyst – SQL , Microsoft SQL, PostgreSQL, MySQL

Price: $54.99

Average Rating: 4.35

Number of Lectures: 109

Number of Published Lectures: 108

Number of Curriculum Items: 109

Number of Published Curriculum Objects: 108

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

Analyse and manipulate data
Create Database and Tables
Analyse data using aggregate functions
Analyse data using analytic functions
Analyse data using ranking functions
Analyse data using various operators
Analyse data using sub queries
Analyse data using views

Who Should Attend

Beginner Data Analyst
Beginner Data Scientist

Target Audiences

Beginner Data Analyst
Beginner Data Scientist

A SQL data analyst is a data scientist that uses the SQL language to interpret data.

This analysis is used to improve business information and provide new insights to managers.

SQL data analysts design scripts and programs to perform specific database functions and to analyse and maintain data.

Some SQL Data Analyst Duties and Responsibilities

Duties vary for SQL data analysts based on the specific needs of the hiring company and the amount of data being analysed. However, these core tasks are commonly associated with this job:

Integrate Data
SQL data analysts integrate data from multiple data sets into o:ne database system to streamline information.
Create Database Functions
SQL data analysts program specific database functions to create database triggers and design data tables.
Design Reports
After reviewing and analysing data, SQL data analysts design reports to show statistics and other information about specific database topics.
Clean Database
SQL data analysts remove dead data files and other irrelevant information to free up database space.
Write Scripts
SQL data analysts write scripts to analyse data and perform specific data queries.
Resolve Data Issues
SQL data analysts isolate and resolve issues with data and databases.
Add Data
SQL data analysts collect data from multiple sources and add it to the database.

We will be performing data analysis using SQL on relational databases like: MySQL, PostgreSQL and MS SQL Server.

A relational database is a type of database. It uses a structure that allows us to identify and access data in relation to another piece of data in the database. Often, data in a relational database is organized into tables. A relational database includes tables containing rows and columns. For example, a typical business order entry database would include a table that describes a customer with columns for name, address, phone number and so forth.

SQLor Structured Query Language is a critical tool for data professionals. It is undoubtedly the most important language for getting a job in the field of data analysis or data sciences. Millions of data points are being generated every minute. And raw data does not have any story to tell. After all this data gets stored in databases and professionals use SQL to extract this data for further analysis.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is SQL

Lecture 3: What is a Data Analyst

Lecture 4: What is MySQL

Lecture 5: What is PostgreSQL

Lecture 6: What is SQL Server

Lecture 7: What is T-SQL

Lecture 8: Basic Database Concepts

Lecture 9: What is a Schema

Lecture 10: Database Schema

Chapter 2: MySQL Database Server Setup

Lecture 1: MySQL Download & Installation on Windows

Lecture 2: MySQL Workbench for windows

Lecture 3: MySQL Installation on Macs

Lecture 4: Creating a new MySQL Connection

Lecture 5: Managing Server Connections

Lecture 6: Client Connections

Lecture 7: Checking MySQL Server Status

Lecture 8: MySQL Data Types

Lecture 9: Creating a database in MySQL

Lecture 10: Using IF NOT EXIST DROP

Lecture 11: Creating a table in MySQL Database

Lecture 12: Setting Default MySQL Database

Lecture 13: Using Primary Keys

Lecture 14: Using Foreign Keys

Lecture 15: SQL Statement and Query

Chapter 3: Data Analysis & Manipulation with MySQL

Lecture 1: Query Data

Lecture 2: SUB Queries

Lecture 3: Nested Sub queries

Lecture 4: Derived Tables

Lecture 5: Insert Data

Lecture 6: Update Data

Lecture 7: Delete Data

Lecture 8: Removing duplicate records

Lecture 9: Grouping Data

Lecture 10: Separating Grouped Data

Lecture 11: Sorting Data

Lecture 12: Filtering Data

Chapter 4: MySQL Data Analysis using Table Joins & Views

Lecture 1: MySQL INNER Join

Lecture 2: MySQL LEFT Join

Lecture 3: MySQL RIGHT Join

Lecture 4: MySQL SELF Join

Lecture 5: MySQL VIEWS

Lecture 6: Creating MySQL Views

Lecture 7: Query MySQL Views

Lecture 8: Modify Views

Lecture 9: Dropping a View

Chapter 5: MySQL Data Analysis using Aggregate Functions & Operators

Lecture 1: What are aggregate Functions

Lecture 2: AVG Aggregate Function

Lecture 3: COUNT Aggregate Function

Lecture 4: SUM Aggregate Function

Lecture 5: MIN Aggregate Function

Lecture 6: MAX Aggregate Function

Lecture 7: BETWEEN Operator

Lecture 8: IN Operator

Lecture 9: LIKE Operator

Lecture 10: UNION Operator

Chapter 6: PostgreSQL Setup

Lecture 1: PostgreSQL Installation on Windows

Lecture 2: PostgreSQL Installation on Macs

Lecture 3: PgAdmin Installation on Macs

Lecture 4: Connecting to PostgreSQL Database Server

Lecture 5: Download Sample Database

Chapter 7: Data Analysis with SQL on PostgreSQL Database

Lecture 1: Filtering Data

Lecture 2: Sorting Data

Lecture 3: SUB Queries

Lecture 4: Comparison Operators

Lecture 5: NOT Operators

Lecture 6: OR Operators

Lecture 7: AND Operators

Lecture 8: Combining AND | OR Operators

Chapter 8: SQL PostgreSQL Data Analysis with Analytic Functions

Lecture 1: What are Analytic Functions

Lecture 2: Creating tables

Lecture 3: Using AVG as Window Function

Lecture 4: Row Number Functions

Lecture 5: Rank Functions

Lecture 6: DENSE RANK Functions

Lecture 7: FIRST Value Function

Lecture 8: LAST Value Function

Lecture 9: LAG Function

Lecture 10: LEAD Function

Chapter 9: Microsoft SQL Server Setup

Lecture 1: SQL Server Installation Requirements

Lecture 2: SQL Server Editions

Lecture 3: SQL Server Downloads

Lecture 4: SQL Server Installation

Lecture 5: Installing SSMS

Lecture 6: Connecting to SQL Server with SSMS

Lecture 7: Install Sample Database

Chapter 10: Data Analysis with Microsoft SQL

Lecture 1: Filtering Data with equality filters

Lecture 2: Filtering Data with comparison filters

Lecture 3: Filtering Data with logical filters

Lecture 4: Filtering Data with string comparison filters

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 6 votes
2 stars: 2 votes
3 stars: 37 votes
4 stars: 79 votes
5 stars: 119 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu