Udemy - SQL JOINS for Data Science, Data Analysis & Analytics [2022]

"softddl.org"
17-11-2021, 17:49
Rating:
0
0 vote


  • Udemy - SQL JOINS for Data Science, Data Analysis & Analytics [2022]
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 269 lectures (4h 36m) | Size: 1.67 GB
    SQL Data Analytics by example, SQL exercises & solution using real-world SQL databases. Build real-life project reports



Udemy - SQL JOINS for Data Science, Data Analysis & Analytics [2022]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 269 lectures (4h 36m) | Size: 1.67 GB
SQL Data Analytics by example, SQL exercises & solution using real-world SQL databases. Build real-life project reports


What you'll learn:
Learn to join 1 to 15 tables using SQL
Understand advanced and complex SQL Join
Create compelling report using SQL
Advance your data analytics skill
Learn from expert with many exercises and solutions
Requirements
Basic SQL knowledge
Description
SQL is a powerful tool for data storage. The ability to analyze the data is a great skill to acquire. What is greater is your ability to use complex SQL queries to fetch out information from multiple tables. That is what this course is all about. In this course, you are going to be acquitted with advanced SQL skills to join multiple tables together and write better reports. This course is going to make Data Analysis (using PostgreSQL) easy for your career advancement.
Everything you will ever need in SQL JOIN for data analytics is covered in this course. This includes but is not limited to:
Types of Join
Cross Join
Inner Join
Left Join
Right Join
Full Join
Natural Join
Self Join
Intersect
Union
Except
To understand the above and work seamlessly with JOIN the following were first introduced:
Select
Select Distinct
Concat
Format
Where
Wildcard
Aggregate
Limit
Fetch
Offset
and many more
This course will take to perform join within a single table and joining multiple tables. At the end of this course, you will be able to join any number of tables at a go!
WHY THIS COURSE?
This course is not rushed over.
It starts from the very basics of SQL Join to advanced multiple table join
This course is taught by an active data scientist with several years of experience
This course is taught by examples with several exercises and solutions
You will not only know the theory but learn to build your own report using SQL
All the students taught by the instructor have moved higher in their careers
No question asked by students is not answered with 48 hours. There is no too simple question or too hard question. All questions are taken very seriously by the instructor
You don't need to take my words for it. See what existing students have to say about my courses:
"This is a great course! It is deep. The instructor didn't leave any stone unturned. It gave me a better understanding of the more advanced concept. Above all, I love the style of teaching with challenges and solutions." - Paul Min
"It's been an amazing time having to learn and understand how python works." - Ana Gil
"Well explained and easy to understand. This is indeed commendable and I appreciate your efforts." - Joanita Anderson
You can check the comment sections of all my courses and see for yourself.
I am not only confident you will love this course, but I am also confident you will spread the love to others. Hence, we are offering you 30 days' FULL money-back. What are you waiting for? Click Buy now and let's get started.
WHO IS THIS COURSE FOR?
Database administrator
Developers
Data Scientist
Programmer
Those with interest in SQL and Data analytics
By the end of this course, you will be very fluent in SQL queries, confident in facing any complex schema, and write great reports.
Who this course is for
Anyone who aspire to advanced in data analytics using SQL
Homepage
https://www.udemy.com/course/sql-for-data-analytics-and-data-science/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


Links are Interchangeable - No Password - Single Extraction
 
Comments
The minimum comment length is 50 characters. comments are moderated
There are no comments yet. You can be the first!
Download free » Tutorials » Udemy - SQL JOINS for Data Science, Data Analysis & Analytics [2022]
Copyright holders