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This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2025 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. This SQL Tutorial for beginners will cover the basics of SQL from the code syntax to all the advanced concepts in SQL like, Sub Queries, Joins, and CTEs in SQL. After completing this course, you can become an expert in SQL Fundamentals or if you are a professional, you can brush up your SQL skills and for beginners, you can proceed with building your personal data analysis portfolio to begin with your training or internship for Real-time operations and job opportunities.

00:00:00 Introduction to SQL Full Course
00:01:08 What is DBMS
00:12:45 Database Vs Data Warehouse
00:31:24 Data Analyst Roadmap
00:33:28 Data Science Vs Data Analyst
00:47:08 What is SQL
03:13:33 SQL Tutorial For Beginners
03:14:22 Business Intelligence Terms For data analyst
03:30:13 Normalization in SQL
03:33:37 Descriptive Analysis Vs Stat
03:51:09 What is ETL
07:16:37 SQL FC
07:30:47 Joining Tables in SQL
07:53:01 Views in SQL
07:55:39 PostgreSQL
09:37:05 SQL CTE(Common Table Expressions
10:40:24 SQL Project for data analysis
11:29:25 EDA(Exploratory Data Analysis) with Python
11:29:35 Data Analytics using Artificial Intelligence
12:02:19 Data Cleaning in Data Mining
12:17:56 ChatGPT and Excel with Data Analytics
12:54:38 SQL Interview Questions and Answers

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What is SQL?
SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
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✅ Capstone from 3 domains and 25+ projects
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Skills Covered
✅ Generative AI
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✅ Inferential Statistics
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✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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