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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!

Course Includes

  • course Recorded Lessons: 98
  • course Recorded Hours: 8
  • course Duration: 8 days (Avg)

Course Features

  • course Access on mobile
  • course 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
SQL Server setting up
SQL Azure Data Studio
SQL Database basic SSMS
SQL Statements for DATA
SQL Data Structure statements
SQL User Management
SQL Statement Basic
Filtering Data rows
Aggregate functions
SQL Query statements
SQL Group by statement
JOINS for Multiple table Data Analysis
SQL Constraints
Views
Advanced SQL commands
SQL Stored procedures
Azure Data Studio Visualization
Azure Studio SQL for Data Analysis
Import & Export data
Backup and Restore Database
Frequently asked questions

Basic SQL queries, Joins, Grouping and aggregation functions, Subqueries and Common Table Expressions

No prior SQL knowledge is required. This course is designed to take you from beginner to advanced, starting with basic SQL queries and progressing to more complex topics like joins, aggregations, and analytical functions.

This course equips you with SQL skills essential for roles like: Data Analyst, Data Scientist, Business Intelligence Analyst, Database Administrator, Data Engineer.

SQL fundamentals, Advanced queries for data aggregation and filtering, How to connect SQL with data science tools, Using SQL for data visualization and analytics

No prior programming experience is necessary, but basic knowledge of databases or familiarity with spreadsheets will be helpful.

About the instructor
Sekhar Metla

Instructor

4.5 Instructor Rating
course

46 Courses

course

13+ Lesson

course

1518 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.