🔥SQL Tutorial for Beginners 2023 | SQL Tutorial | SQL Full Course 2023 | MySQL | SQL | Simplilearn

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SQL (Structured Query Language) is the most widely used language for communicating with databases and extracting data for application development, reporting, and analytics. This Full course will introduce you to the fundamentals of SQL Language and teach you how to query and analyze data from complex relational databases.

To begin with this Full course, you don't need any prior SQL or coding knowledge. We'll take it slowly and lay a strong foundation on various concepts like SQL Commands, data types, operators, Functions, Joins and many more advanced-level topics like subqueries triggers that you'll need to become proficient with SQL. This full course tutorial on SQL will help you learn all about the language from scratch with theoretical knowledge as well as practical examples. This SQL full course will help you master structure query language using MySQL and PostgreSQL relational databases and in addition to that you will also learn how to integrate SQl with python. So without any further ado let's get started. The following are the topics covered in this tutorial:

Timestamps

0:00:00 Introduction to SQL Full Course
0:02:57 What is SQL?
0:05:54 What are ER Diagrams
0:18:19 How to install MYSQL on Windows?
0:25:40 MYSQL built-in functions Explained
1:04:54 How Group by and Having Clauses Work?
1:35:39 What are Joins in SQL?
2:10:42 What Is a Subquery?
2:32:25 Triggers in SQL Explained
4:01:46 How to use SQL with python
4:49:20 What is PostgreSQL?
6:22:58 How to become a SQL Developer
6:29:03 SQL Interview Questions

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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