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SQL 101- Beginner Guide to Structured Query Language

  • Development
  • Feb 09, 2025
SynopsisSQL 101: Beginners Guide to Structured Query Language, availa...
SQL 101- Beginner Guide to Structured Query Language  No.1

SQL 101: Beginners Guide to Structured Query Language, available at $34.99, has an average rating of 3.75, with 89 lectures, based on 2 reviews, and has 6 subscribers.

You will learn about The fundamentals of SQL and its importance in database management. How to write basic SQL queries and understand their syntax. The SELECT statement and its role in retrieving data from a database. Techniques for filtering query results using the WHERE clause. How to shape and organize query results using ORDER BY and GROUP BY. The concept of JOINs and how to combine data from different database tables. Skills for adding, modifying, and deleting data within a database. The process of creating well-structured database tables. Practical hands-on experience through interactive exercises and examples. This course is ideal for individuals who are Beginners who have little to no experience with SQL or database management and want to learn from scratch. or Students studying computer science, data analysis, or related fields who need to acquire SQL skills for their coursework or future careers. or Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers. or Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers. or Individuals who have a general interest in databases and want to understand how SQL is used to retrieve and manipulate data. or Business owners or entrepreneurs who want to gain insights from their data and make informed decisions based on database analysis. or Individuals considering a career in data management or data analysis who want to build a strong foundation in SQL. It is particularly useful for Beginners who have little to no experience with SQL or database management and want to learn from scratch. or Students studying computer science, data analysis, or related fields who need to acquire SQL skills for their coursework or future careers. or Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers. or Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers. or Individuals who have a general interest in databases and want to understand how SQL is used to retrieve and manipulate data. or Business owners or entrepreneurs who want to gain insights from their data and make informed decisions based on database analysis. or Individuals considering a career in data management or data analysis who want to build a strong foundation in SQL.

Enroll now: SQL 101: Beginners Guide to Structured Query Language

Summary

Title: SQL 101: Beginners Guide to Structured Query Language

Price: $34.99

Average Rating: 3.75

Number of Lectures: 89

Number of Published Lectures: 89

Number of Curriculum Items: 89

Number of Published Curriculum Objects: 89

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • The fundamentals of SQL and its importance in database management.
  • How to write basic SQL queries and understand their syntax.
  • The SELECT statement and its role in retrieving data from a database.
  • Techniques for filtering query results using the WHERE clause.
  • How to shape and organize query results using ORDER BY and GROUP BY.
  • The concept of JOINs and how to combine data from different database tables.
  • Skills for adding, modifying, and deleting data within a database.
  • The process of creating well-structured database tables.
  • Practical hands-on experience through interactive exercises and examples.
  • Who Should Attend

  • Beginners who have little to no experience with SQL or database management and want to learn from scratch.
  • Students studying computer science, data analysis, or related fields who need to acquire SQL skills for their coursework or future careers.
  • Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers.
  • Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers.
  • Individuals who have a general interest in databases and want to understand how SQL is used to retrieve and manipulate data.
  • Business owners or entrepreneurs who want to gain insights from their data and make informed decisions based on database analysis.
  • Individuals considering a career in data management or data analysis who want to build a strong foundation in SQL.
  • Target Audiences

  • Beginners who have little to no experience with SQL or database management and want to learn from scratch.
  • Students studying computer science, data analysis, or related fields who need to acquire SQL skills for their coursework or future careers.
  • Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers.
  • Professionals from various fields who want to enhance their data manipulation and analysis skills, such as data analysts, business analysts, software developers, and project managers.
  • Individuals who have a general interest in databases and want to understand how SQL is used to retrieve and manipulate data.
  • Business owners or entrepreneurs who want to gain insights from their data and make informed decisions based on database analysis.
  • Individuals considering a career in data management or data analysis who want to build a strong foundation in SQL.
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  • Course Overview: Get a sneak peek into what lies ahead and discover the exciting world of SQL.

  • Introduction: Familiarize yourself with databases and understand their importance in the digital age.

  • Understanding Basic SQL Syntax: Learn the building blocks of SQL and how to structure your queries effectively.

  • Querying Data with the SELECT Statement: Dive into the core of SQL by mastering the SELECT statement to retrieve specific data from databases.

  • Filtering Results with the WHERE Clause: Harness the power of the WHERE clause to filter and narrow down your query results.

  • Shaping Results with ORDER BY and GROUP BY: Discover how to sort and group your data for better analysis and presentation.

  • Matching Different Data Tables with JOINs: Explore the art of joining tables to combine and analyze data from multiple sources.

  • Adding, Changing, and Removing Data: Learn how to insert, update, and delete data within databases to keep your information up to date.

  • Creating Database Tables: Get hands-on experience in creating and designing your own database tables to store and organize data efficiently.

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    Course Curriculum

    Chapter 1: Course Overview

    Lecture 1: Course Overview

    Chapter 2: Introduction to SQL (Structured Query Language)

    Lecture 1: Introduction

    Lecture 2: The Relational Model

    Lecture 3: MySQL Workbench installation

    Lecture 4: Summary

    Chapter 3: Understanding Basic SQL Syntax

    Lecture 1: Introduction to the Section

    Lecture 2: Basic SQL Commands – SELECT

    Lecture 3: Basic SQL Commands – INSERT

    Lecture 4: Basic SQL Commands – UPDATE

    Lecture 5: Basic SQL Commands – DELETE

    Lecture 6: Course Housekeeping

    Lecture 7: Summary

    Chapter 4: Querying Data with the SELECT Statement

    Lecture 1: Introduction to the Section

    Lecture 2: Demo – SELECT

    Lecture 3: The SELECT List

    Lecture 4: SELECT List Wildcard (-)

    Lecture 5: The FROM Clause

    Lecture 6: Demo – FROM Clause

    Lecture 7: How to Constrain the Result Set

    Lecture 8: DISTINCT and NOT DISTINCT

    Lecture 9: Demo – Distinct

    Lecture 10: Summary

    Chapter 5: Filtering Results with the WHERE Clause

    Lecture 1: The WHERE Clause

    Lecture 2: Demo – WHERE Clause

    Lecture 3: Boolean Operators

    Lecture 4: The AND Keyword

    Lecture 5: Demo – AND

    Lecture 6: The OR Keyword

    Lecture 7: Demo – OR

    Lecture 8: Other Boolean Operators

    Lecture 9: BETWEEN

    Lecture 10: Demo – BETWEEN

    Lecture 11: LIKE

    Lecture 12: Demo – LIKE

    Lecture 13: IN

    Lecture 14: Demo – IN

    Lecture 15: IS

    Lecture 16: IS NOT

    Lecture 17: Demo – IS AND IS NOT

    Lecture 18: Summary

    Chapter 6: Shaping Results with ORDER BY and GROUP BY

    Lecture 1: Introduction to the Section

    Lecture 2: ORDER BY

    Lecture 3: Demo – ORDER BY

    Lecture 4: Set Functions

    Lecture 5: Demo – Set Functions

    Lecture 6: Set Function And Qualifiers

    Lecture 7: Demo – Set Function And Qualifiers

    Lecture 8: GROUP BY

    Lecture 9: Demo – GROUP BY

    Lecture 10: HAVING

    Lecture 11: Demo – HAVING

    Lecture 12: Summary

    Chapter 7: Matching Different Data Tables with JOINs

    Lecture 1: Introduction to the Section

    Lecture 2: CROSS JOIN

    Lecture 3: Demo – CROSS JOIN

    Lecture 4: INNER JOIN

    Lecture 5: Demo – INNER JOIN

    Lecture 6: OUTER JOINs

    Lecture 7: LEFT OUTER JOIN

    Lecture 8: Demo – LEFT OUTER JOIN

    Lecture 9: RIGHT OUTER JOIN

    Lecture 10: Demo – RIGHT OUTER JOIN

    Lecture 11: FULL OUTER JOIN

    Lecture 12: Demo – FULL OUTER JOIN

    Lecture 13: SELF JOIN

    Lecture 14: Summary

    Chapter 8: Adding, Changing, and Removing Data

    Lecture 1: Introduction to the Section

    Lecture 2: INSERT

    Lecture 3: Demo – INSERT

    Lecture 4: BULK INSERT

    Lecture 5: Demo – BULK INSERT

    Lecture 6: UPDATE

    Lecture 7: Demo – UPDATE

    Lecture 8: DELETE

    Lecture 9: Demo – DELETE

    Lecture 10: Summary

    Chapter 9: Creating Database Tables

    Lecture 1: Introduction to the Section

    Lecture 2: CREATE DATABASE

    Lecture 3: Demo – CREATE DATABASE

    Lecture 4: CREATE TABLE

    Lecture 5: Demo – CREATE TABLE

    Lecture 6: NULL Values

    Lecture 7: PRIMARY KEY

    Lecture 8: CONSTRAINT

    Lecture 9: ALTER TABLE

    Lecture 10: DROP TABLE

    Lecture 11: Demo – CREATE TABLE

    Lecture 12: Summary

    Chapter 10: Conclusion

    Lecture 1: Final Words & Conclusion

    Instructors

  • SQL 101- Beginner Guide to Structured Query Language  No.2
    Anass Cherkaoui
    3D Artist, Graphic Designer as well as a Developer
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