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Udemy - SQL For Data Analysis (2022)

      Author: Baturi   |   02 June 2022   |   comments: 0

Udemy - SQL For Data Analysis (2022)
Published 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (40m) | Size: 145.3 MB


Use this program to excel your SQL knowledge specific to data analysis
What you'll learn
Basic SQL Commands
Joins in SQL
Aggregations
Writing Subqueries
Data Cleaning in SQL
Requirements
Basic understanding of data and data types
Anyone with access to computers and with some basic excel spreadsheet knowledge
Description
Introducing, the SQL For Data Analysis.
In this official course you will be guided on different functionalities in SQL that are specific to Data analysis and videos are developed in easy terms and less technical so that any one without technical capabilities, can easily get through this course.
Introduction to SQL
Learn very basics in SQL
JOINS
Learn INNER and OUTER join in the most easiest way.
Aggregations
Importance of NULL
Most commonly used aggregations in SQL
GROUP BY, HAVING, CASE statements in SQL
With practical demonstration
Sub Queries
Learn sub queries with practical examples
Data cleaning
Learn how to clean data in two useful use cases.
There are currently over more than half a million jobs related to SQL on LinkedIn. Many roles like product analyst, data analyst, data scientist, business analyst, product manager, software engineer, and more require SQL to perform their day to day tasks. Nowadays employers are eager to get professionals with SQL skillset. SQL is the most in-demand skill, higher than other programming languages.
This course is for anyone who can basically operate computers and have some basic understanding on how to use excel spreadsheets. By the end of this course you will get yourself skilled up with a good basic foundations of SQL.
Ready to embark on your SQL data analysis journey? Let's get started!
Who this course is for
Data analysts
Marketers
Software Engineers
Product Managers
Anyone with passion to get started with SQL
Homepage
https://www.udemy.com/course/sql-for-data-analysis-course/




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