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Beginners Class 30
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 became the de facto standard programming language for relational databases after they emerged in the late 1970s and early 1980s. It can also permit users to perform specific tasks on tables, procedures, and views. Wishing you the best of learning experience. For any question or assistance kindly contact me on: awesome8emmanuel@gmail.com
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Lecture1.1
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Lecture1.2
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Lecture1.3
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Lecture1.4
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Lecture1.5
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Lecture1.6
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Lecture1.7
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Lecture1.8
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Lecture1.9
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Lecture1.10
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Lecture1.11
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Lecture1.12
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Lecture1.13
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Lecture1.14
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Lecture1.15
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Lecture1.16
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Lecture1.17
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Lecture1.18
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Lecture1.19
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Lecture1.20
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Lecture1.21
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Lecture1.22
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Lecture1.23
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Lecture1.24
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Lecture1.25
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Lecture1.26
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Lecture1.27
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Lecture1.28
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Lecture1.29
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Lecture1.30
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Advance Class 16
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Lecture2.1
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Lecture2.2
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Lecture2.3
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Lecture2.4
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Lecture2.5
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Lecture2.6
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Lecture2.7
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Lecture2.8
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Lecture2.9
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Lecture2.10
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Lecture2.11
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Lecture2.12
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Lecture2.13
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Lecture2.14
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Lecture2.15
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Lecture2.16
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22 Comments
Great thanks
I love the fact that it’s short and concise.
I really love your well packaged tutorial, so interesting and concise. I will continue to patronize your page. Thanks @AQskill.
Thank you
Really enjoyed
This is nice. .
Very direct and precise..
Your courses are well detailed….
It good and understandable
I have taken part in some of your courses and I really learn alot from your courses. please do you offer Data analysis with R or python programming language?
Thanks
Working on Data Analysis with Python
Expect it next month
Thank you for sweet presentation, please update on the python course
Nice, i will also join python
MySQL Installation on windows 11 successfull. Thanks for details.
You’re welcome
Great course, can get the course material, I tried to downloading it, but it not.
The lesson materials is attached to the first lesson. Click on it to download.
You can also send a request mail
awesome8emmanuel@gmail.com
Nice one
Good day, is there a enough explanation on data cleaning on data analysis with python.
Simple and straightforward …………… THANK YOU.