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🔥Data Scientist Masters Program (Discount Code - YTBE15) - [ Ссылка ]

This video by Simplilearn is based on Joins in SQL. In this SQL join tutorial, you will learn how to join the existing records from two or more tables. SQL joins is the widely-used clause in SQL essentially to combine and retrieve data from two or more tables based on related columns or fields between them. This tutorial on SQL Joins also demonstrates different types of SQL Joins such as Inner Join, Full outer join, Left join, and Right join. This SQL tutorial will help you learn the major fundamentals of SQL Join statements with theoretical as well as practical examples for a better learning experience.

Topics we will be covering in this video:-
00:00 - Joins in SQL
00:50 - Agenda
01:13 - What is SQL Joins
02:23 - Why we use SQL Joins
04:07 - Types of SQL Joins
04:33 - SQL inner Joins
06:28 - SQL Left to join
07:31 - SQL right Join
08:15 - Conclusion

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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.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- 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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