SQL For Data Analytics & Database Development
Category: Personal DevelopmentCategory: Teaching & Education
Course Info
Overview
Develop a SQL For Data Analytics & Database Development arsenal of skills including critical strategic, managerial, and leadership abilities with our expertly developed SQL For Data Analytics & Database Development.
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Description
This SQL For Data Analytics & Database Development course will teach you how to think critically and strategically about SQL For Data Analytics & Database Development, as well as how to build and implement strategy. You’ll also discover fundamental SQL For Data Analytics & Database Development ideas that will help you build the foundation you need to flourish in the workplace.This Learning Paths online SQL For Data Analytics & Database Development course is for working people who want to improve their abilities and advance in their careers. The SQL For Data Analytics & Database Development course is provided in an interactive virtual learning environment where you can study at your own comfort and convenience.
Who is this course for?
This certificate SQL For Data Analytics & Database Development course is curated for individuals who want to improve their hard and soft skills. The interactive, guided approach to learning and the potential to build their worldwide network online will help you thrive. Moreover, working professionals in managerial and leadership roles in a variety of industries will benefit from the emphasis on the dynamics of leadership, influence, and strategy, as well as SQL For Data Analytics & Database Development abilities. Those pursuing career advancement in the future will benefit from the skill to apply SQL For Data Analytics & Database Development-derived abilities to current and future employment.
Requirements
This Learning Paths SQL For Data Analytics & Database Development course will prepare you to make data-driven decisions that will give you a competitive edge. There are no formal requirements for this course. However smart gadgets and stable internet connection is required for a smooth learning journey.
Career Path
Earn a certificate of competence from the Learning Paths platform by learning all about SQL For Data Analytics & Database Development. This SQL For Data Analytics & Database Development course curriculum will benefit you at all stages of your career.
Certification
After successfully completing the SQL For Data Analytics & Database Development course, you will get your PDF certificate for FREE! The hardcopy certificate will cost only £11.99 with free shipping inside the UK. For delivery outside the UK an additional shipping charge will be applied.
Course Curriculum
| SQL for Data Science, Data Analytics and Data Visualization | |||
| Section 01: Getting Started | |||
| Introduction | 00:03:00 | ||
| How to get course requirements | 00:03:00 | ||
| Getting started on Windows, Linux or Docker | 00:01:00 | ||
| How to ask great questions | 00:01:00 | ||
| FAQ’s | 00:01:00 | ||
| Section 02: SQL Server setting up | |||
| Section Introduction | 00:02:00 | ||
| Microsoft SQL Server Installation | 00:19:00 | ||
| SQL Server Management Studio (SSMS) Installation | 00:08:00 | ||
| How to connect MS SQL (Windows Authentication) | 00:04:00 | ||
| How to connect MS SQL (SQL Server Authentication) | 00:03:00 | ||
| Download and Restore Sample Database | 00:07:00 | ||
| Section 03: SQL Azure Data Studio | |||
| What is Azure Data Studio | 00:06:00 | ||
| Azure Data Studio Installation steps | 00:07:00 | ||
| Azure Data Studio to Connect SQL Server | 00:09:00 | ||
| Create a Database | 00:07:00 | ||
| Create a Table | 00:09:00 | ||
| Insert Data rows | 00:07:00 | ||
| View the Data returned by Query | 00:03:00 | ||
| Section 04: SQL Database basic SSMS | |||
| Section Introduction | 00:01:00 | ||
| Overview of Databases | 00:11:00 | ||
| Creating Database | 00:05:00 | ||
| SQL Data Types | 00:03:00 | ||
| Column Data Types on SSMS | 00:04:00 | ||
| Creating Table | 00:09:00 | ||
| Overview of Primary Key and Foreign Key | 00:04:00 | ||
| Primary Key | 00:04:00 | ||
| Foreign Key | 00:07:00 | ||
| Creating Temporary tables | 00:06:00 | ||
| Section 05: SQL Statements for DATA | |||
| Section Introduction | 00:01:00 | ||
| Insert statement | 00:08:00 | ||
| Update statement | 00:05:00 | ||
| Delete statement | 00:03:00 | ||
| Section 06: SQL Data Structure statements | |||
| Section Introduction | 00:01:00 | ||
| CREATE table statement | 00:03:00 | ||
| DROP statement | 00:02:00 | ||
| ALTER statement | 00:05:00 | ||
| TRUNCATE statement | 00:04:00 | ||
| COMMENT in query | 00:01:00 | ||
| RENAME | 00:02:00 | ||
| Section 07: SQL User Management | |||
| Create Database user | 00:04:00 | ||
| GRANT permissions | 00:06:00 | ||
| REVOKE permissions | 00:04:00 | ||
| Section 08: SQL Statement Basic | |||
| Section Introduction | 00:01:00 | ||
| SQL Statement basic | 00:03:00 | ||
| SELECT Statement | 00:07:00 | ||
| SELECT DISTINCT | 00:03:00 | ||
| SELECT with column headings | 00:03:00 | ||
| Column AS statement | 00:02:00 | ||
| Section 09: Filtering Data rows | |||
| SELECT WHERE Clause – theory | 00:04:00 | ||
| SELECT WHERE Clause – practical | 00:07:00 | ||
| Section 10: Aggregate functions | |||
| Sum() | 00:08:00 | ||
| Min()-Max() | 00:06:00 | ||
| Section 11: SQL Query statements | |||
| Order By statement | 00:05:00 | ||
| SELECT TOP clause in SQL | 00:04:00 | ||
| BETWEEN command | 00:08:00 | ||
| IN operator | 00:04:00 | ||
| Wildcard Characters and LIKE | 00:05:00 | ||
| Section 12: SQL Group by statement | |||
| Section Introduction | 00:01:00 | ||
| Group by – theory | 00:03:00 | ||
| Group by – practical | 00:05:00 | ||
| HAVING statement | 00:04:00 | ||
| Section 13: JOINS for Multiple table Data Analysis | |||
| Overview of Joins | 00:02:00 | ||
| What are Joins | 00:02:00 | ||
| Inner join | 00:08:00 | ||
| Left outer join | 00:03:00 | ||
| Right outer join | 00:02:00 | ||
| Full outer join | 00:01:00 | ||
| Union | 00:03:00 | ||
| Cartesian Product with the Cross Join | 00:03:00 | ||
| Query Exercise | 00:01:00 | ||
| Solution for Query Exercise | 00:01:00 | ||
| Section 14: SQL Constraints | |||
| Section introduction | 00:01:00 | ||
| Check constraint | 00:07:00 | ||
| NOT NULL constraint | 00:08:00 | ||
| UNIQUE constraint | 00:05:00 | ||
| Section 15: Views | |||
| Creating Views | 00:04:00 | ||
| Reporting with multiple tables | 00:03:00 | ||
| Section 16: Advanced SQL commands | |||
| Section Introduction | 00:01:00 | ||
| Timestamp | 00:26:00 | ||
| Extract from timestamp | 00:03:00 | ||
| Mathematical scalar functions | 00:04:00 | ||
| String functions | 00:05:00 | ||
| Sub Query | 00:03:00 | ||
| SELECT with calculations | 00:06:00 | ||
| Section 17: SQL Stored procedures | |||
| Create stored procedure | 00:05:00 | ||
| Stored procedure with parameter | 00:04:00 | ||
| Section 18: Azure Data Studio Visualization | |||
| Installing SandDance Extension | 00:03:00 | ||
| Visualization Charts | 00:05:00 | ||
| Multiple Table Data Charts | 00:06:00 | ||
| Section 19: Azure Studio SQL for Data Analysis | |||
| Type Decision for Data Analysis | 00:13:00 | ||
| Data Analysis with Case Statement and String Text | 00:09:00 | ||
| Section 20: Import & Export data | |||
| Section Introduction | 00:01:00 | ||
| Import Flat File | 00:05:00 | ||
| Import .csv or excel file | 00:03:00 | ||
| Export Data to Excel or any format | 00:06:00 | ||
| Section 21: Backup and Restore Database | |||
| Section Introduction | 00:01:00 | ||
| Creating Database backup | 00:04:00 | ||
| Restoring Database backup | 00:04:00 | ||