learn@excellence.institute

Overview:

Welcome to "SQL for Data Science, Data Analytics, and Data Visualization!" This course is designed to provide a comprehensive understanding of SQL (Structured Query Language) and its applications in data science, data analytics, and data visualization. SQL is a powerful tool for managing and querying relational databases, making it essential for anyone working with data. In this course, you'll learn SQL from the ground up and explore its role in analyzing and visualizing data effectively.
  • Interactive video lectures by industry experts
  • Instant e-certificate and hard copy dispatch by next working day
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified first aid professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Main Course Features:

  • Detailed explanation of SQL syntax and commands for data manipulation and querying
  • Hands-on exercises and projects for practical application of SQL concepts
  • Exploration of advanced SQL techniques for data analysis and visualization
  • Integration of SQL with popular data visualization tools such as Tableau or Power BI
  • Real-world case studies and examples showcasing SQL's applications in data science and analytics
  • Access to datasets and resources for practicing SQL queries and analysis
  • Supportive online community for collaboration and assistance throughout the course
  • Regular updates to keep pace with the latest advancements in SQL and data visualization technologies

Who Should Take This Course:

  • Data scientists, analysts, and professionals working with relational databases
  • Business analysts and decision-makers seeking to leverage SQL for data-driven insights
  • Students and professionals aiming to enhance their skills in data manipulation and analysis
  • Anyone interested in learning SQL for data science, analytics, and visualization applications

Learning Outcomes:

  • Master SQL fundamentals for data manipulation, querying, and analysis
  • Perform complex data analysis tasks using SQL queries and functions
  • Create interactive and visually appealing data visualizations with SQL and visualization tools
  • Develop advanced SQL skills for data exploration and visualization
  • Gain practical experience through hands-on exercises and projects
  • Build a portfolio of SQL-based data analysis and visualization projects
  • Communicate insights effectively through data visualization techniques
  • Stay updated with the latest trends and best practices in SQL and data visualization.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

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

    Contents Not Found