Course Includes
- Recorded Lessons: 98
- Recorded Hours: 8
- Duration: 8 days (Avg)
Course Features
- Access on mobile
- TDP Assessment Test
Top Skills Covered
Overview
Course Description
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
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
Requirements
- 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)
Course Content
98 Lessons | 8:00 Total hours
Getting Started
-
Introduction
00:02:56 -
How to get course requirements
00:02:31 -
Getting started on Windows, Linux or Docker
00:00:57 -
How to ask great questions
00:01:19 -
FAQ’s
00:01:08
SQL Server setting up
-
Section Introduction
00:01:42 -
Microsoft SQL Server Installation
00:18:34 -
SQL Server Management Studio (SSMS) Installation
00:08:28 -
How to connect MS SQL (Windows Authentication)
00:03:40 -
How to connect MS SQL (SQL Server Authentication)
00:03:13 -
Download and Restore Sample Database
00:07:26
SQL Azure Data Studio
-
What is Azure Data Studio
00:06:25 -
Azure Data Studio Installation steps
00:07:08 -
Azure Data Studio to Connect SQL Server
00:09:00 -
Create a Database
00:06:32 -
Create a Table
00:08:46 -
Insert Data rows
00:06:36 -
View the Data returned by Query
00:03:05
SQL Database basic SSMS
-
Section Introduction
00:01:16 -
Overview of Databases
00:10:47 -
Creating Database
00:04:54 -
SQL Data Types
00:03:23 -
Column Data Types on SSMS
00:03:55 -
Creating Table
00:09:09 -
Overview of Primary Key and Foreign Key
00:04:04 -
Primary Key
00:04:05 -
Foreign Key
00:06:51 -
Creating Temporary tables
00:06:29
SQL Statements for DATA
-
Section Introduction
00:00:48 -
Insert statement
00:08:25 -
Update statement
00:05:06 -
Delete statement
00:03:12
SQL Data Structure statements
-
Section Introduction
00:00:54 -
CREATE table statement
00:02:58 -
DROP statement
00:02:10 -
ALTER statement
00:05:27 -
TRUNCATE statement
00:04:04 -
COMMENT in query
00:00:54 -
RENAME
00:01:41
SQL User Management
-
Create Database user
00:03:54 -
GRANT permissions
00:06:09 -
REVOKE permissions
00:04:10
SQL Statement Basic
-
Section Introduction
00:01:13 -
SQL Statement basic
00:03:18 -
SELECT Statement
00:07:23 -
SELECT DISTINCT
00:02:42 -
SELECT with column headings
00:02:34 -
Column AS statement
00:02:05
Filtering Data rows
-
SELECT WHERE Clause – theory
00:03:40 -
SELECT WHERE Clause – practical
00:07:15
Aggregate functions
-
Sum()
00:08:00 -
Min()-Max()
00:05:47
SQL Query statements
-
Order By statement
00:05:25 -
SELECT TOP clause in SQL
00:04:05 -
BETWEEN command
00:08:08 -
IN operator
00:04:04 -
Wildcard Characters and LIKE
00:04:53
SQL Group by statement
-
Section Introduction
00:01:10 -
Group by – theory
00:03:11 -
Group by – practical
00:05:28 -
HAVING statement
00:03:32
JOINS for Multiple table Data Analysis
-
Overview of Joins
00:01:56 -
What are Joins
00:02:15 -
Inner join
00:07:55 -
Left outer join
00:02:49 -
Right outer join
00:02:18 -
Full outer join
00:01:21 -
Union
00:02:46 -
Cartesian Product with the Cross Join
00:03:10 -
Query Exercise
00:01:05 -
Solution for Query Exercise
00:01:08
SQL Constraints
-
Section introduction
00:00:54 -
Check constraint
00:06:54 -
NOT NULL constraint
00:08:28 -
UNIQUE constraint
00:05:02
Views
-
Creating Views
00:03:58 -
Reporting with multiple tables
00:03:05
Advanced SQL commands
-
Section Introduction
00:00:51 -
Timestamp
00:04:26 -
Extract from timestamp
00:03:11 -
Mathematical scalar functions
00:03:50 -
String functions
00:04:55 -
Sub Query
00:03:09 -
SELECT with calculations
00:06:18
SQL Stored procedures
-
Create stored procedure
00:04:36 -
Stored procedure with parameter
00:04:29
Azure Data Studio Visualization
-
Installing SandDance Extension
00:02:36 -
Visualization Charts
00:04:56 -
Multiple Table Data Charts
00:06:01
Azure Studio SQL for Data Analysis
-
Type Decision for Data Analysis
00:13:01 -
Data Analysis with Case Statement and String Text
00:09:14
Import & Export data
-
Section Introduction
00:01:07 -
Import Flat File
00:05:03 -
Import .csv or excel file
00:02:40 -
Export Data to Excel or any format
00:02:40
Backup and Restore Database
-
Section Introduction
00:00:59 -
Creating Database backup
00:03:51 -
Restoring Database backup
00:03:34
About the instructor
Sekhar Metla
Instructor
45 Courses
13+ Lesson
1260 Students enrolled
Sekhar Metla is a software engineer with 15 years of professional experience. He is the author of several best-selling TeacherDada courses with more than 26,000+ students in 192 countries. He has a Master of Science in Computer Applications as Software Engineering and is also Microsoft Certified Professional. His students describe him as passionate, pragmatic, and motivational in his teaching.