Download SQL JOINS Masterclass: Learn to join 2 to 15 Tables

SQL JOINS Masterclass: Learn to join 2 to 15 Tables - 2024

Description

SQL JOINS Masterclass: Learn to join 2 to 15 Tables – 2024 is a JOIN command training course in SQL published by Udemy Online Academy. SQL JOIN is used to combine rows from two or more tables based on the related column between them. There are different types of JOIN operations, each serving a different purpose. SQL is a powerful tool for data storage. In this course, you’ll use advanced SQL skills to join multiple tables and write better reports. This course is meant to make data analysis easy for your career advancement. This tutorial covers everything you need to know about SQL JOINs for data analysis.

During this training course, you will not only be exposed to educational videos that teach you the theory of topics, but you will also be exposed to various types of exercises that will help you gain high knowledge and practical experience. do. This course is recommended for database administrators, developers, data scientists, programmers, and those interested in SQL and data analysis. After completing this training course, you will have high knowledge and skills about the JOIN command in SQL.

What you will learn in the SQL JOINS Masterclass: Learn to join 2 to 15 Tables – 2024 course:

  • Familiarity with advanced and complex SQL Join
  • Creating a compelling report using SQL
  • Improving data analysis skills
  • And …

Course details

Publisher: Yudmi
teacher: Donatus Obomighie, PhD, MSc, PMP
English language
Training level: introductory to advanced
Number of courses: 295
Training duration: 5 hours and 11 minutes

Course headings

Course prerequisites

Basic SQL knowledge

Course images

SQL JOINS Masterclass: Learn to join 2 to 15 Tables - 2024

Course introduction video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 961 MB

Password file(s): www.downloadly.ir

Size

1.9 GB

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