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Overview The demand for skilled cybersecurity professionals is soaring in today's digital landscape. The CompTIA CySA+ Cybersecurity Analyst (CS0-002) course is your gateway to a lucrative and rewarding career in this high-demand industry. This course delves deep into various aspects of cybersecurity, from threat analysis and vulnerability identification to incident response and digital forensics. It's designed to ensure you're ready to excel in the field. This course covers various topics, including threat intelligence, vulnerability identification, incident response, and forensics analysis.  With 60+ hours of engaging content, our expert instructors will equip you with the knowledge and skills required to excel in the CompTIA CySA+ certification exam and kickstart your career in cybersecurity. Enrol in the CompTIA CySA+ Cybersecurity Analyst (CS0-002) course today and secure your future in this high-demand industry! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this CompTIA CySA+ Cybersecurity Analyst (CS0-002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA CySA+ Cybersecurity Analyst (CS0-002) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 22 sections • 96 lectures • 11:35:00 total length •Introduction: 00:02:00 •All about the Exam: 00:08:00 •What's New on the CompTIA CySA+ Exam?: 00:05:00 •Meet the Instructors: 00:02:00 •Thinking like the Enemy: 00:09:00 •Tools of the Trade: 00:08:00 •Intelligence Sources and Confidence Levels: 00:08:00 •Threat Indicators and Actors: 00:08:00 •Threat Trends: 00:07:00 •Intelligence Cycle and ISACs: 00:06:00 •Attack Frameworks: 00:06:00 •Threat Research: 00:11:00 •Threat Modeling and Intelligence Sharing: 00:06:00 •Vulnerability Identification: 00:07:00 •Scanning Parameters and Criteria: 00:09:00 •Scanning Special Considerations: 00:06:00 •Validation: 00:03:00 •Remediation and Mitigation: 00:08:00 •Inhibitors to Remediation: 00:07:00 •Web Applications Scanners, Part 1: 00:10:00 •Web Applications Scanners, Part 2: 00:05:00 •Scanning: 00:06:00 •Configuring and Executing Scans: 00:08:00 •Vulnerability Scanning: 00:10:00 •Reverse Engineering: 00:08:00 •Enumeration: 00:06:00 •Wireless Assessment Tools: 00:08:00 •Cloud Assessment Tools: 00:04:00 •Mobile and IoT: 00:10:00 •Embedded and Firmware Systems (RTOS, SoC, and FPGA): 00:09:00 •Access and Vehicles Risk: 00:08:00 •Automation and Control Risk: 00:10:00 •Cloud Models: 00:07:00 •Remote Service Invocation (FaaS, IaC, API): 00:10:00 •Cloud Vulnerabilities: 00:06:00 •Injection and Overflow Attacks: 00:09:00 •Injection and Overflow Attacks: 00:09:00 •Exploits: 00:08:00 •Application Vulnerabilities, Part 1: 00:08:00 •Application Vulnerabilities, Part 2: 00:07:00 •Network Architecture and Asset Management: 00:09:00 •Protecting Your Territory: 00:05:00 •Identity and Access Management: 00:11:00 •Encryption and Active Defense: 00:08:00 •Platforms: 00:07:00 •SOA and DevSecOps: 00:09:00 •Secure Software Development: 00:08:00 •Best Coding Practices: 00:04:00 •Trusted Hardware: 00:10:00 •Hardware Encryption: 00:04:00 •Hardware Security: 00:08:00 •Data Analytics: 00:10:00 •Endpoint Security: 00:08:00 •Recon Results, Part 1: 00:13:00 •Recon Results, Part 2: 00:05:00 •Impact Analysis: 00:05:00 •Collective Tools: 00:09:00 •Query Writing: 00:07:00 •E-mail Analysis, Part 1: 00:10:00 •E-mail Analysis, Part 2: 00:08:00 •Permissions: 00:09:00 •Firewalls: 00:08:00 •Intrusion Prevention Rules: 00:05:00 •DLP and Endpoint Detection: 00:05:00 •Threat Hunting and the Hypothesis: 00:06:00 •Threat Hunting Process: 00:07:00 •Results and Benefits: 00:05:00 •Workflow and Scripting: 00:07:00 •API and Malware Signature Creation: 00:08:00 •Threat Feeds and Machine Learning: 00:06:00 •Protocols, Standards, and Software Engineering: 00:05:00 •IR Roles and Responsibilities: 00:08:00 •IR Active Preparation: 00:10:00 •Incident Response Process: 00:07:00 •Network Symptoms: 00:04:00 •Host Symptoms: 00:08:00 •Application Symptoms: 00:04:00 •Digital Forensics: 00:10:00 •Seizure and Acquisitions: 00:05:00 •Forensics Acquisition Tools: 00:09:00 •Mobile, Virtualization, and Cloud: 00:06:00 •Forensics Analysis, Part 1: 00:04:00 •Forensics Analysis, Part 2: 00:08:00 •Packet Capture: 00:12:00 •Data Privacy and Security: 00:06:00 •Nontechnical Controls: 00:09:00 •Technical Controls: 00:08:00 •Business Impact Analysis: 00:05:00 •Risk Identification: 00:05:00 •Risk Calculation and Communication: 00:06:00 •Training: 00:04:00 •Supply Chain Assessment: 00:04:00 •Frameworks: 00:13:00 •Policies and Procedures: 00:05:00 •Controls and Procedures: 00:08:00 •Verification: 00:06:00

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Use Fast Feedback to Accelerate Business Agility w/ David Grabel Software engineers get feedback from their development environment and automated test suites in real-time. Errors can be fixed and verified in minutes. However, when organizations extend Agile beyond technology, feedback from stakeholders takes days and the 'feedback frenzies' can drag on for weeks or even months. Completing a story within a sprint seems impossible. It is time for 'the business' to dramatically reduce lead time and stop getting blamed for delays. This talk will show you how to quickly create a value stream mapping with your team. This map will expose needless delays and help you find ways to shorten cycle time to minutes, reducing overall lead time by 80% or more. It will include a way to overlay feedback loops on the value stream map, which can help you find the source of significant delays. You will also hear how creative teams are adapting mob programming techniques into their work in ways that build feedback into their processes in order to accelerate delivery from business teams. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Use Fast Feedback to Accelerate Business Agility w/ David Grabel Software engineers get feedback from their development environment and automated test suites in real-time. Errors can be fixed and verified in minutes. However, when organizations extend Agile beyond technology, feedback from stakeholders takes days and the 'feedback frenzies' can drag on for weeks or even months. Completing a story within a sprint seems impossible. It is time for 'the business' to dramatically reduce lead time and stop getting blamed for delays. This talk will show you how to quickly create a value stream mapping with your team. This map will expose needless delays and help you find ways to shorten cycle time to minutes, reducing overall lead time by 80% or more. It will include a way to overlay feedback loops on the value stream map, which can help you find the source of significant delays. You will also hear how creative teams are adapting mob programming techniques into their work in ways that build feedback into their processes in order to accelerate delivery from business teams. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

[vc_row][vc_column][vc_column_text] Description: This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world's object-oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! 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. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description: This diploma in C++ and Python programming course is a great way to get started in programming. It covers the study of the C++ and Python group of languages used to build most of the world's object oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. It teaches key features of imperative programming using C and is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! 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. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Dive into the world of structured data manipulation and management with the SQL course. Explore database fundamentals, constraints, functions, clauses, and advanced concepts such as joins and wild cards. From creating to altering databases, this course empowers you with a versatile skill set to navigate and manipulate data efficiently using SQL. Learning Outcomes: Acquire a foundational understanding of SQL, its role, and importance in database management. Master the creation, organization, and manipulation of databases. Implement constraints to ensure data integrity and enforce business rules. Utilize SQL functions to transform and manipulate data effectively. Employ SQL clauses to filter, sort, and analyze data for specific purposes. Perform alterations on databases and tables to accommodate evolving data needs. Explore the intricacies of joins and relationships to retrieve and consolidate data from multiple tables. Harness the power of wild cards to perform flexible and dynamic data searches. Why buy this SQL Database Management? 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 SQL Database Management there will be a written assignment test which you can take either during or at the end of the course. 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 SQL Database Management does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Aspiring Database Administrators and SQL Developers. Software Engineers Seeking Proficiency in SQL for Application Development. Data Analysts and Business Intelligence Professionals. IT Professionals Looking to Enhance Their Database Management Skills. Prerequisites This SQL Database Management 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 SQL Developer - $70,000 to $110,000/year. Database Administrator - $60,000 to $100,000/year. Data Analyst - $60,000 to $90,000/year. Business Intelligence Developer - $70,000 to $120,000/year. Database Manager - $80,000 to $130,000/year. Course Curriculum Unit 01: Introduction Module 01: Introduction 00:09:00 Module 02: Xampp (PHPmyadmin) installation 00:05:00 Unit 02: Getting Started With Databases Module 01: Creating a database 00:02:00 Module 02: Creating Tables 00:03:00 Module 03: More about Tables 00:01:00 Module 04: Inserting into Tables 00:03:00 Module 05: Updating and Deleting 00:04:00 Module 06: Data Types 00:03:00 Module 07: Conditional and comparison operators 00:04:00 Unit 03: Constraints Module 01: Primary Keys 00:05:00 Module 02: Foreign Keys 00:07:00 Module 03: Indexes 00:03:00 Module 04: Unique Indexes 00:03:00 Unit 04: SQL Functions Module 01: Functions (Part: 01) 00:02:00 Module 02: Functions (Part: 02) 00:03:00 Unit 05: SQL Clauses Module 01: Basic Queries and Where Claueses 00:04:00 Module 02: Order by 00:03:00 Module 03: Distinct 00:05:00 Module 04: In 00:04:00 Module 05: Group by 00:07:00 Unit 06: Alters Module 01: Alters (Part: 01) 00:03:00 Module 02: Alters (Part: 02) 00:05:00 Module 03: Alters (Part: 03) 00:05:00 Unit 07: All about Joins and SQL Relations Module 01: Aliases 00:04:00 Module 02: Inner joins 00:07:00 Module 03: Left and right joins 00:06:00 Module 04: Unions 00:06:00 Unit 08: Wild Cards Module 01: Wild Cards (Part: 01) 00:07:00 Module 02: Wild cards (Part: 02) 00:05:00 Unit 09: More Advanced Areas of SQL Module 01: Views 00:09:00 Module 02: Creating Functions 00:07:00 Module 03: Triggers 00:09:00 Assignment Assignment - SQL 00:00:00

Delve into the intricate world of 'Data Structure' with our comprehensive course, meticulously crafted for those who have a penchant for understanding the skeleton of software engineering. Data structures form the backbone of algorithmic efficiency, and mastering them is akin to holding the master key to software optimisation. Our course is a confluence of foundational knowledge and complex data structuring, ensuring that you emerge not only informed but also invigorated, ready to tackle any computational challenge thrown your way. Learning Outcomes Gain foundational understanding of different data structures and their implementations. Discover the intricate details of arrays, linked lists, stacks, and queues. Develop the ability to effectively utilise advanced structures like AVL trees and Fenwick trees. Master techniques for optimising algorithmic efficiency using suitable data structures. Enhance problem-solving skills related to data storage and retrieval. Why choose this Data Structure course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Diploma in Data Structure at QLS Level 5 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Data Structure course for? Individuals keen on deepening their computer science foundations. Software developers aiming to optimise their code. Students pursuing computer science and related disciplines. Competitive coders desiring an edge in algorithm competitions. Tech enthusiasts eager to understand the underpinnings of efficient programming. Career path Software Developer: £25,000 - £45,000 Algorithm Engineer: £40,000 - £60,000 Data Scientist: £35,000 - £55,000 Backend Developer: £28,000 - £50,000 Systems Architect: £45,000 - £70,000 Data Engineer: £30,000 - £55,000 Prerequisites This Diploma in Data Structure at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Diploma in Data Structure at QLS Level 5 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £115 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Unit 01: Introduction Module 01: Promo Video 00:02:00 Module 02: Data Structure Introduction 00:05:00 Module 03: Computational Complexity Analysis 00:13:00 Unit 02: Arrays Module 01: Static and Dynamic Arrays 00:12:00 Module 02: Dynamic Arrays Source Code 00:07:00 Unit 03: Linked List Module 01: Singly and Doubly Linked Lists 00:15:00 Module 02: Doubly Linked Lists Source Code 00:10:00 Unit 04: Stack Module 01: Stack 00:12:00 Module 02: Stack Implementation 00:04:00 Module 03: Stack Source Code 00:04:00 Unit 05: Queues Module 01: Queues (Part-1) 00:06:00 Module 02: Queues (Part-2) 00:06:00 Module 03: Queue Source Code 00:04:00 Unit 06: Priority Queues (PQs) Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00 Module 02: Turning Min PQ into Max PQ 00:06:00 Module 03: Adding Elements to Binary Heap 00:10:00 Module 04: Removing Elements from Binary Heap 00:14:00 Module 05: Priority Queue Binary Heap Source Code 00:16:00 Unit 07: Union Find Module 01: Disjoint Set 00:06:00 Module 02: Kruskal's Algorithm 00:06:00 Module 03: Union and Find Operations 00:11:00 Module 04: Path Compression Union Find 00:07:00 Module 05: Union Find Source Code 00:08:00 Unit 08: Binary Search Trees Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00 Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00 Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00 Module 04: Tree Traversals 00:12:00 Module 05: Binary Search Source Code 00:13:00 Unit 09: Fenwick Tree Module 01: Fenwick Tree Construction 00:06:00 Module 02: Point Updates 00:05:00 Module 03: Binary Indexed Tree 00:14:00 Module 04: Fenwick Tree Source Code 00:06:00 Unit 10: Hash Tables Module 01: Hash Table 00:17:00 Module 02: Separate Chaining 00:08:00 Module 03: Separate Chaining Source Code 00:12:00 Module 04: Open Addressing 00:11:00 Module 05: Linear Probing 00:14:00 Module 06: Quadratic Probing 00:09:00 Module 07: Double Hashing 00:15:00 Module 08: Removing Element Open Addressing 00:08:00 Module 09: Open Addressing Code 00:15:00 Unit 11: Suffix Array Module 01: Introduction 00:03:00 Module 02: The Longest Common Prefix (LCP) Array 00:03:00 Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00 Module 04: Longest Common Substring (LCS) 00:11:00 Module 05: Longest Common Substring (LCS) Full Example 00:07:00 Module 06: Longest Repeated Substring (LRS) 00:05:00 Unit 12: AVL Trees Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00 Module 02: Inserting Elements into an AVL Tree 00:10:00 Module 03: Removing an AVL Tree 00:09:00 Module 04: AVL Tree Source Code 00:17:00 Unit 13: Indexed Priority Queue Module 01: Indexed Priority Queue (Part-1) 00:25:00 Module 02: Indexed Priority Queue Source Code 00:09:00 Unit 14: Sparse Tables Module 01: Sparse Table 00:26:00 Module 02: Sparse Table Source Code 00:07:00 Assignment Assignment - Diploma in Data Structure at QLS Level 5 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Embark on a transformative journey into the realm of cutting-edge development with our course, 'Master Spring Boot 3.0 and MongoDB.' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities. In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery. Learning Outcomes Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods. Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems. Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions. Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications. Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases. Why choose this Master Spring boot 3.0 and MongoDB course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Master Spring boot 3.0 and MongoDB course for? Aspiring developers keen on mastering the Spring Boot-MongoDB synergy. Software engineers looking to deepen their understanding of advanced database operations. Students and coding enthusiasts eager to explore the latest tools in the development landscape. Professionals seeking to upgrade their skill set in line with industry demands. Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up. Career path MongoDB Developer: £40,000 - £60,000 Spring Boot Engineer: £45,000 - £70,000 Database Architect: £55,000 - £80,000 Full Stack Developer: £50,000 - £75,000 Java Developer (Specializing in Spring Boot): £45,000 - £65,000 API Integration Specialist: £50,000 - £70,000 Prerequisites This Master Spring boot 3.0 and MongoDB does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Master Spring boot 3.0 and MongoDB 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction What is MongoDB 00:02:00 The Difference Between SQL and NoSQL 00:03:00 How to Choose Between SQL and NoSQL 00:04:00 Section 02: Prepare The Mongo Environment MongoDB UI Tools 00:01:00 Why Use Docker for Development 00:01:00 Create an Empty Docker Compose File 00:02:00 Mongo Server (Docker Compose) 00:04:00 Mongo Express (Docker Compose) 00:03:00 Run and Test 00:03:00 Section 03: Mongo Terms Collections and Documents in Mongo 00:03:00 Section 04: Bootstrapping The Application Create a New Spring Boot 3.0 Project 00:04:00 Project Structure 00:02:00 Include the Docker Compose with the Project and Run It 00:04:00 Project Architecture 00:03:00 Connect to MongoDB 00:03:00 Create a New Database 00:01:00 Understand Admin - Local and Config Databases 00:05:00 Create a Java Class 00:04:00 Transform the Java Class into a Collection 00:02:00 Create a Mongo Repository 00:02:00 Insert the First Data into the Collection 00:06:00 Create a Product Service 00:04:00 Save the product 00:03:00 Find Product by ID 00:01:00 Find All Products 00:01:00 Delete Product 00:01:00 Section 05: CRUD Operations Create Product Controller 00:02:00 Save Product Operation 00:02:00 Find All Products 00:01:00 Find Product by ID 00:01:00 Delete Product 00:02:00 Test the CRUD Operations 00:06:00 Section 06: DBRef And Collections Relationships Extend the Product Model 00:02:00 Create Category Java Class 00:02:00 User Category as a Field 00:03:00 Relationship between Category and Product 00:01:00 Transform the Category to a Collection 00:01:00 Create a Category Repository 00:01:00 Insert Categories at Startup 00:02:00 The Issue in Linking Collections 00:03:00 Add Relationship Between Collections 00:04:00 Section 07: OpenApi Integration Add OpenApi Dependency 00:02:00 Test and Play with Swagger UI 00:06:00 Section 08: Documents Queries And Mongo Template Extend the Product Model 00:02:00 Create a Search Service 00:01:00 What is MongoTemplate 00:02:00 Is() Query 00:07:00 Testing the Is() Query 00:02:00 Regex() Query 00:06:00 Lt() Query 00:03:00 Gt() Query 00:02:00 Sorting Data 00:05:00 Paging and Sorting 00:06:00 Section 09: Query Methods Create a Query Method Service 00:03:00 FindByX Query 00:06:00 FinByX Ignore Case Query 00:02:00 FinByX starting with query 00:03:00 FinByX ending with query 00:02:00 FinByX containing query 00:04:00 FinByX less than 00:02:00 FinByX greater than 00:01:00 FinByX between 00:02:00 FinByX and SortByY 00:04:00 Paging and Sorting 00:07:00