MP4 | h264, 1280x720 | Lang: English | Audio: aac, 48000 Hz | 3h 24m | 1.5 GB
Become an expert in SQL!What you'll learn
Become an expert in SQL and PostgreSQL
Write complex SQL queries with ease
Learn Advanced SQL concepts
Answer product or data questions using SQL and Data Analysis
Apply Data Analytics to make data-informed decisions
Replicate real-world situations and find actionable business insights
Create visualizations to present your insights
Ace the Advanced SQL job interview questions
Description
Welcome to SQL for Data Analytics!
There are literally thousands of SQL courses online, but most of them don't prepare you for using it in the real world.
In this course, instead of just learning about the basic fundamentals of SQL, I will teach you how to use SQL and data to develop your Data Analytics mindset. Together, we will learn how to apply SQL and Data Analysis to real-life business use cases, to draw insights from data in order to make data-informed decisions. We will also learn about the advanced concept in SQL like Self-join and Window Analytics Functions to solve complex business problems.
We even go further to present and communicate that insight effectively with interactive visualization dashboard.
This course requires absolutely no programming experience.
By the end of this course, you will be well equipped to pass all of the SQL interviews questions in the data world: whether you are looking for a job as a data scientist, data analyst, or data engineer.
Who this course is for:
Beginners who wants to learn about SQL
Beginners who wants to learn about Data Analysis
Beginners who wants to learn about Data Science
Beginner developers curious about Data Science
Intermediate developers wants to learn Advanced SQL concepts
Intermediate SQL developers wants to advance their career
People who wants to prepare for SQL Job Interview questions
Beginners who want to prepare for Data Science interview questions
Beginners who want to prepare for Data Engineer interview questions
Beginners who wants to learn about PostgreSQL
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