SQL for Data Science + Data Analytics + Data Visualization

With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems!

21 sections • 98 lectures • 7hrs 18mins
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SQL for Data Science + Data Analytics + Data Visualization
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Who this course is for:

  • Beginner SQL, Data Analytics, Data Science and Visualization - developers curious about SQL Career
  • Anyone who wants to generate new income streams
  • Anyone who works with data analytics, charts, or databases!
  • Anyone who wants to become financially independent
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Data Science developer
  • If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or
  • any other industry/function that collects information
  • Someone who wants to learn skills that give them the potential to earn near SIX figures!

Learn how to use SQL for DataScience quickly and effectively with this course!

At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why:

You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more.

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.

Learning SQL for DataScience is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!

The course is taught by the lead instructor having 20+ years of professional experience.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL DataScience developer.

In this course you will learn everything you need to become a SQL DataScience Pro! Including:

  • Get started with Microsoft SQL Server, SQL Server Management Studio, and Azure Data Studio these are the world's most popular SQL tools
  • Learn the basics of SQL syntax
  • Analyzing data using aggregate functions with GROUP BY commands
  • Running advanced queries with string operations and comparison operations
  • Learn to use logical operators to add logic flow to your SQL queries
  • Azure Data Studio to Connect SQL Server Instance
  • Learn common SQL JOIN statements
  • Learn to create tables and databases with constraints on data entries
  • Learn to use Python to further advanced your SQL DataScience skills
  • Learn to apply Flat file transaction data to import to SQL
  • Import and Export .CSV or Excel files in to SQL Database
  • Learn How to take Secure backup & restore database.
  • Learn to write SELECT statements
  • Learn to Create SQL scripts
  • Applying Primary Key and Foreign Keys
  • Creating Views and Accessing View Data
  • Writing Stored Procedures for re-use SQL scripts
  • Dynamic SQL queries and Aggregate Functions
  • Subqueries to make complex queries
  • Azure Sand Dance Extention to Create Data Visualization
  • Creating Different Charts on required Business reports
  • Learn to Write Case Statements for Decision Making Queries
  • Apply Real world Data queries for Data Analytics and Data type
  • SELECT on Query Calculations for Discount and Non Discount SALEs

and much more!

This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations.

I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.

SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!

Check out the free preview videos for more information!

By the end of this course, you will be fluently programming and be ready to make any application you can dream of.
Sign up today, and look forward to:

  • HD Video Lectures
  • SQL Query Challenges and SQL Query Exercises
  • Beautiful Real-World dynamic Projects

Course content
21 sections • 98 lectures • 7hrs 18mins

Introduction - 02mins
How to get course requirements - 02mins
Getting started on Windows, Linux or Docker - 57secs
How to ask great questions - 01mins
FAQ’s - 01mins
Section Introduction - 01mins
Microsoft SQL Server Installation - 18mins
SQL Server Management Studio (SSMS) Installation - 08mins
How to connect MS SQL (Windows Authentication) - 03mins
How to connect MS SQL (SQL Server Authentication) - 03mins
Download and Restore Sample Database - 07mins
What is Azure Data Studio - 06mins
Azure Data Studio Installation steps - 07mins
Azure Data Studio to Connect SQL Server - 09mins
Create a Database - 06mins
Create a Table - 08mins
Insert Data rows - 06mins
View the Data returned by Query - 03mins
Section Introduction - 01mins
Overview of Databases - 10mins
Creating Database - 04mins
SQL Data Types - 03mins
Column Data Types on SSMS - 03mins
Creating Table - 09mins
Overview of Primary Key and Foreign Key - 04mins
Primary Key - 04mins
Foreign Key - 06mins
Creating Temporary tables - 06mins
Section Introduction - 48secs
Insert statement - 08mins
Update statement - 05mins
Delete statement - 03mins
Section Introduction - 54secs
CREATE table statement - 02mins
DROP statement - 02mins
ALTER statement - 05mins
TRUNCATE statement - 04mins
COMMENT in query - 54secs
RENAME - 01mins
Create Database user - 03mins
GRANT permissions - 06mins
REVOKE permissions - 04mins
Section Introduction - 01mins
SQL Statement basic - 03mins
SELECT Statement - 07mins
SELECT with column headings - 02mins
Column AS statement - 02mins
SELECT WHERE Clause – theory - 03mins
SELECT WHERE Clause – practical - 07mins
Sum() - 08mins
Min()-Max() - 05mins
Order By statement - 05mins
SELECT TOP clause in SQL - 04mins
BETWEEN command - 08mins
IN operator - 04mins
Wildcard Characters and LIKE - 04mins
Section Introduction - 01mins
Group by – theory - 03mins
Group by – practical - 05mins
HAVING statement - 03mins
Overview of Joins - 01mins
What are Joins - 02mins
Inner join - 07mins
Left outer join - 02mins
Right outer join - 02mins
Full outer join - 01mins
Union - 02mins
Cross join - 03mins
Query Exercise - 01mins
Solution for Query Exercise - 01mins
Section introduction - 54secs
Check constraint - 06mins
NOT NULL constraint - 08mins
UNIQUE constraint - 05mins
Creating Views - 03mins
Reporting with multiple tables - 03mins
Section Introduction - 51secs
Timestamp - 04mins
Extract from timestamp - 03mins
Mathematical scalar functions - 03mins
String functions - 04mins
Sub Query - 03mins
SELECT with calculations - 06mins
Create stored procedure - 04mins
Stored procedure with parameter - 04mins
Installing SandDance Extension - 02mins
Visualization Charts - 04mins
Multiple Table Data Charts - 06mins
Type Decision for Data Analysis - 13mins
Data Analysis with Case Statement and String Text - 09mins
Section Introduction - 01mins
Import Flat File - 05mins
Import .csv or excel file - 02mins
Export Data to Excel or any format - 06mins
Section Introduction - 59secs
Creating Database backup - 03mins
Restoring Database backup - 03mins

What you'll learn

  • Use SQL to query a data
  • Get a job as a junior Data Analytics developer
  • Advanced SQL statements
  • Use Azure Data Studio to perform data analysis
  • Be comfortable putting SQL and Microsoft SQL on their resume
  • Learn to perform GROUP BY statements
  • Replicate real-world situations and query reports
  • Complete Visualization Charts with SandDance extension
  • Complete basic SELECT statements querying against a single table
  • Filter data using the WHERE clause to identify required data
  • Apply SQL for DataScience
  • Using JOINS, return data from multiple tables in the same query
  • Complete Analysis statements that use aggregate functions
  • Import Flat, .CSV, Excel to SQL Database
  • Performing Secure Backup and Restore Full SQL Database


  • No prior technical experience is required! All you need a computer!
  • No SQL experience needed. You will learn everything you need to know
  • No software is required in advance of the course (all software used in the course is free
Sekhar Metla

Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.

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