215 Database Management courses

Embark on a transformative Python web development journey with this course and dive deep into creating a dynamic book rental system from scratch. Master Django's import-export capabilities, design elegant UI with Tailwind CSS, implement advanced features, and more. Elevate your skills and build real-world applications effortlessly!

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

Welcome to this beginner's level course on Microsoft SQL Servers. Understand the concepts of SQL and learn to create a new database and table to perform various operations on it, with live running queries as examples. Work on hands-on exercises and understand database concepts in a real-world scenario.

This complete training program comprising levels 1 and 2 is divided into multi-sequential sections to let you gain comprehensive knowledge and understanding of SQL and data analysis. This two-level course is designed to kickstart your SQL knowledge and perform various data analysis tasks and implement SQL in projects independently and efficiently.

Embark on a transformative DevOps journey! This comprehensive course equips you with skills in Ansible, Docker, GitLab, backups, and more. Master the art of self-hosting your infrastructure, streamlining deployments, and boosting efficiency. Launch your DevOps career today and unleash the endless possibilities!

Be an expert professional in using Microsoft Access with the Microsoft Access - Beginners, Intermediate & Advanced course. Microsoft Access is a database management system that helps you to store information for reference, reporting, and analysis. Using this information management tool, you can able to analyze large amounts of information, and manage related data more quickly. The course starts by explaining the very basic features of Microsoft Access which will be later followed on the advanced features. Therefore the course is suitable for the novice to the advanced learners who want to exceed their skill. The course teaches you how to work with queries, forms, reports, and how to work with Macros, advanced database apps, and more. Who is this Course for? Microsoft Access - Beginners, Intermediate & Advanced is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Microsoft Access for Beginners Module One - Getting Started 00:30:00 Module Two - Opening and Closing Access 01:00:00 Module Three - An Introduction to Databases 01:00:00 Module Four - Sharing Data Using Apps 01:00:00 Module Five - Working in Your App 01:00:00 Module Six - An Introduction to Desktop Databases 01:00:00 Module Seven - Performing Basic Table Tasks 01:00:00 Module Eight - Working with Fields 01:00:00 Module Nine - Working with Table Relationships 01:00:00 Module Ten - An Introduction to Queries, Forms, and Reports 01:00:00 Module Eleven - Protecting Your Data 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access for Beginners 00:00:00 Microsoft Access for intermediate level Module One - Getting Started 00:30:00 Module Two - Creating a Custom App 01:00:00 Module Three - Customizing App Actions 01:00:00 Module Four - Customizing Your App Views with Macros 01:00:00 Module Five - Working with Validation Rules and Messages 01:00:00 Module Six - Working with Macros 01:00:00 Module Seven - Advanced Query Tasks 01:00:00 Module Eight - Designing Forms 01:00:00 Module Nine - Advanced Reporting Tasks 01:00:00 Module Ten - Advanced Database Tools 01:00:00 Module Eleven - Working with the Access Environment 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access Intermediate Level 00:00:00 Microsoft Access Advanced Level Module One - Getting Started 00:30:00 Module Two - Using App Views 01:00:00 Module Three - Customizing Apps, Part One 01:00:00 Module Four - Customizing Apps, Part Two 01:00:00 Module Five - Working with More Record Tasks 01:00:00 Module Six - Using Advanced Field Tasks 01:00:00 Module Seven - Working in Table Design View 01:00:00 Module Eight - Working with the Expression Builder 01:00:00 Module Nine - Working with External Data 01:00:00 Module Ten - Creating Queries 01:00:00 Module Eleven - Creating Forms and Reports 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access Advanced Level 00:00:00 Mock Exam Mock Exam- Microsoft Access - Beginners, Intermediate, Advanced 00:30:00 Final Exam Final Exam- Microsoft Access - Beginners, Intermediate, Advanced 00:30:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

This is a comprehensive course designed to provide a solid foundation in web development principles and practices. This course is intentionally structured to provide a technical understanding of web development concepts without delving into intricate implementation details. Anyone looking to better understand how web applications are built can take this course.

In this comprehensive course, we will guide you through the world of Oracle Database Administration, starting from the basics and equipping you with the skills to create databases, manage storage, implement backup plans, apply patches, troubleshoot issues, and excel in the role of a professional DBA.

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL