From Queries to Insights: Mastering SQL for Data Analysis

From Queries to Insights: Mastering SQL for Data Analysis, available at $19.99, with 9 lectures, and has 1 subscribers.

You will learn about Understanding Relational Databases: Basics of relational databases. Components such as tables, rows, and columns. Primary keys and foreign keys. Data Retrieval and Filtering: Crafting SELECT statements to retrieve specific data. Using WHERE clauses to filter data. a Joins and Relationships: Recognizing and implementing different types of joins. Establishing and navigating relationships between tables. Aggregating Data: Applying aggregate functions like COUNT, SUM, AVG, MIN, and MAX. Grouping data with GROUP BY clauses. This course is ideal for individuals who are This Course for any one want to learn data analysis field there is no need to any background for this course ,, in this course you will learn in details many things It is particularly useful for This Course for any one want to learn data analysis field there is no need to any background for this course ,, in this course you will learn in details many things.

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Summary

Title: From Queries to Insights: Mastering SQL for Data Analysis

Price: $19.99

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Understanding Relational Databases: Basics of relational databases. Components such as tables, rows, and columns. Primary keys and foreign keys.
Data Retrieval and Filtering: Crafting SELECT statements to retrieve specific data. Using WHERE clauses to filter data. a
Joins and Relationships: Recognizing and implementing different types of joins. Establishing and navigating relationships between tables.
Aggregating Data: Applying aggregate functions like COUNT, SUM, AVG, MIN, and MAX. Grouping data with GROUP BY clauses.

Who Should Attend

This Course for any one want to learn data analysis field there is no need to any background for this course ,, in this course you will learn in details many things

Target Audiences

This Course for any one want to learn data analysis field there is no need to any background for this course ,, in this course you will learn in details many things

A SQL course for data analysis is designed to equip participants with the skills and knowledge needed to effectively use SQL (Structured Query Language) for querying and analyzing data. SQL is a powerful and widely used language for managing and manipulating relational databases, making it an essential tool for anyone working with data. Here’s a description of what you might find in a typical SQL course for data analysis:

Course Overview:

Introduction to SQL:
- Basics of relational databases.
- Understanding tables, rows, and columns.
- Overview of SQL syntax and basic commands.
Data Retrieval with SELECT Statements:
- Writing SELECT statements to retrieve data from one or more tables.
- Filtering data using WHERE clauses.
- Sorting and limiting results.
Joins and Relationships:
- Understanding and using different types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN).
- Recognizing and creating relationships between tables.
Data Aggregation:
- Aggregating data using functions like COUNT, SUM, AVG, MIN, and MAX.
- Grouping data with GROUP BY clauses.
- Outcome: Participants will gain a solid foundation in SQL and the ability to leverage it for efficient and effective data analysis. They will be equipped with the skills to retrieve, manipulate, and analyze data from relational databases, making them valuable contributors to data-driven decision-making processes.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Understanding Relational Databases

Lecture 1: Understanding Relational Databases: Basics of relational databases.

Lecture 2: SQL Basics and Syntax: Data Retrieval with SELECT Statements

Lecture 3: Data Retrieval and Filtering:Filtering data using WHERE clauses

Chapter 3: Joins and Relationships

Lecture 1: Recognizing and implementing different types of joins.

Lecture 2: Establishing and navigating relationships between tables

Lecture 3: Understanding different types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN)

Chapter 4: Data Aggregation

Lecture 1: Aggregating data using functions like COUNT, SUM, AVG, MIN, and MAX

Lecture 2: Grouping data with GROUP BY clauses

Instructors

Nourhan Sarhan
Data Analysis Instructor

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Frequently Asked Questions

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

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