252 Data Structure courses

This course covers essential topics required for working with data structures and algorithms using JavaScript. From basics of data structures and algorithms to key concepts, such as arrays, lists, Big O time-space asymptomatic analysis, trees, and maps, this course will teach you everything with the help of engaging examples and activities.

OVERVIEW This comprehensive course on Data Structures Complete Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Structures Complete Course comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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 Data Structures Complete Course. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Data Structures Complete Course 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. COURSE CURRICULUM 14 sections • 55 lectures • 09:02:00 total length •Module 01: Promo Video: 00:02:00 •Module 02: Data Structure Introduction: 00:05:00 •Module 03: Computational Complexity Analysis: 00:13:00 •Module 01: Static and Dynamic Arrays: 00:12:00 •Module 02: Dynamic Arrays Source Code: 00:07:00 •Module 01: Singly and Doubly Linked Lists: 00:15:00 •Module 02: Doubly Linked Lists Source Code: 00:10:00 •Module 01: Stack: 00:12:00 •Module 02: Stack Implementation: 00:04:00 •Module 03: Stack Source Code: 00:04:00 •Module 01: Queues (Part-1): 00:06:00 •Module 02: Queues (Part-2): 00:06:00 •Module 03: Queue Source Code: 00:04:00 •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 •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 •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 •Module 01: Fenwick Tree Construction: 00:06:00 •Module 02: Point Updates: 00:06:00 •Module 03: Binary Indexed Tree: 00:14:00 •Module 04: Fenwick Tree Source Code: 00:06:00 •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 •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 •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 •Module 01: Indexed Priority Queue (Part-1): 00:25:00 •Module 02: Indexed Priority Queue Source Code: 00:09:00 •Module 01: Sparse Table: 00:26:00 •Module 02: Sparse Table Source Code: 00:07:00

Register on the Easy to Advanced Data Structures today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Easy to Advanced Data Structures is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! WHAT YOU GET WITH THE EASY TO ADVANCED DATA STRUCTURES * Receive a e-certificate upon successful completion of the course * Get taught by experienced, professional instructors * Study at a time and pace that suits your learning style * Get instant feedback on assessments  * 24/7 help and advice via email or live chat * Get full tutor support on weekdays (Monday to Friday) COURSE DESIGN The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of * Video lessons * Online study materials CERTIFICATION Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. WHO IS THIS COURSE FOR: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. REQUIREMENTS: The online training is open to all students and has no formal entry requirements. To study the Easy to Advanced Data Structures, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  COURSE CONTENT 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 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 00:06:00 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 05: Longest Common Substring (LCS) Full Example 00:07:00 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 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

OVERVIEW Prerequisites—DIAD training or equivalent working experience This one-day course will cover Power BI report layouts and structure the agile process to creating Power BI data visualizations. It will help attendees to understand the art behind visualizations, the implications behind choosing the right charts, the impact of color, shape, and size, and finally the use of Power BI custom visuals. The course includes various design patterns of dashboards and reports, as well as best practices for authoring great reports and dashboards for business users. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: * Understand the need for storytelling with data * Understand the agile process to creating Power BI data visualizations * Understand the art behind visualizations * Gain familiarity with Power BI report layouts and structure * Understand implications behind choosing the right charts * Gain familiarity with using Power BI custom visuals WHO IS THE COURSE FOR? * Power BI report developers who wish to improve the aesthetic quality of their reports * Power BI and other BI practitioners who would like to understand more about the theory of data visualization * BI practitioners who wish to create reports that communicate the meaning behind the data more clearly * Power BI users who would like to explore the types of chart and visual available that answer different types of business question COURSE OUTLINE Module 1 What Is Storytelling With Data? * Volume, Velocity and Variety * The importance of business questions * What is a story in this context? Module 2 The Science Behind Data Visualization * Basic problems to avoid * Memory and visualization * Ways to spark iconic, short-term and long-term memory Module 3 The Process Behind Data Visualization * Using an agile approach to report development * Data structure and data grain * Converting the story to a data model Module 4 Dashboards And Reports * Terminology and definitions * Dashboard layout and structure * Report layout and structure * Storyboarding * Drill-through, bookmarks, toggles and tooltips Module 5 Chart Selection * Charts for comparison * Time series * Proportions * Constructing effective tables, cards and slicers * Scatterplots Module 6 Accessibility And Custom Visuals * Report accessibility checklists * Custom visuals * Creating a custom R visual * Charticulator Module 7 Publishing And Formatting * Colour schemes * Making a Power BI theme * Use of fonts, icons and symbols * Sizing dashboard and report tiles * Sparklines, hyperlinks and images Module 8 Report Authoring - Best Practices * Design thought process * The audience * Defining the platform environment * The user experience * Visualization * Implementation and testing * Optimization Module 9 Dashboard And Goals Design * Tips and tricks * Best practices for dashboard design * Tracking business metrics with goals

Javascript for Data Structures: Dive into the world of data structures using JavaScript. Learn to implement arrays, linked lists, stacks, queues, trees, and more. Perfect for aspiring developers.

Prepare to immerse yourself in the thrilling realm of Unity game development and C# scripting! If you have already acquired the fundamentals of C# scripting with Unity and are eager to elevate your skills to the next tier, then you have found the ideal Intermediate C# Scripting Course. This course is custom-crafted for individuals seeking to master Unity and C# by working on practical, real-world projects.

SOFTWARE DEVELOPMENT TRAINING COURSE DESCRIPTION This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-361, and build an understanding of these topics: Core programming, Object-Oriented programming, general software development, web applications, desktop applications, and databases. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. WHAT WILL YOU LEARN * Describe core programming. * Explain Object Oriented programming. * Describe general software development. * Describe Web applications. * Describe desktop applications. * Explain how databases work. SOFTWARE DEVELOPMENT TRAINING COURSE DETAILS * Who will benefit: Anyone looking to learn the fundamentals of software. * Prerequisites: None. * Duration 3 days SOFTWARE DEVELOPMENT TRAINING COURSE CONTENTS * Core programming * Computer storage and data types How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. * Computer decision structures Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as If…Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. * Handling repetition For loops, While loops, Do...While loops and recursion. * Understand error handling Structured exception handling. * Object-oriented programming * Classes Properties, methods, events and constructors; how to create a class; how to use classes in code. * Inheritance Inheriting the functionality of a base class into a derived class. * Polymorphism Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. * Encapsulation Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. * General software development * Application life cycle management Phases of application life cycle management, software testing. * Interpret application specifications Application specifications, translating them into prototypes, code, select appropriate application type and components. * Algorithms and data structures Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. * Web applications * Web page development HTML, CSS, JavaScript. * ASP.NET web application development Page life cycle, event model, state management, client-side versus server-side programming. * Web hosting Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. * Web services Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. * Desktop applications * Windows apps UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. * Console-based applications Characteristics and capabilities of console- based applications. * Windows Services Characteristics and capabilities of Windows Services. * Databases * Relational database management systems Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. * Database query methods SQL, creating and accessing stored procedures, updating and selecting data. * Database connection methods Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.

COURSE OVERVIEW Acquiring an expert hand in JavaScript can be massive support for climbing the career ladder. The JavaScript Data Structures Foundation Course is here to improve your Java skills. In the course, you will learn the essentials of JavaScript data structure and add one more valuable skill set to your list. The JavaScript Data Structures Foundation Course will teach you the fundamentals of JavaScript concepts. There will be extensive lessons on how to list and stack data structures. You will become skilled in implementing content. The modules will cover detailed information about setting data structure and the skills to implement different set features. You will become an expert in creating unique sets. In this step by step process, you will achieve the expertise to build a solid foundation in this subject.  This JavaScript Data Structures Foundation Course will provide you with theoretical knowledge and practical skills on JavaScript data structure. Enroll the course and boost your career in the relevant sector. LEARNING OUTCOMES * Learn about the essential JavaScript concepts * Comprehend the skills to list and stack data structures * Understand the process of implementing contents and clear features  * Enrich your knowledge of queue data structure * Identify the challenges and gain the skills to overcome them * Know the procedure of creating a unique set WHO IS THIS COURSE FOR? Web Developers, programmers or anyone interested to build their skills in this area. 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 you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. * PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. 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  The JavaScript Data Structures Foundation Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: * Programmer  * Web Developer Introduction Welcome to the Course 00:03:00 Essential Concepts Essential Concepts 00:02:00 Constructor Function 00:09:00 Protoype 00:04:00 Class 00:04:00 List Data Structure List Data Structure 00:01:00 Creating Class For List Data Structure 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Find And Remove Feature 00:08:00 Creating InsertAfter Feature 00:05:00 Implementing Contains And Clear Feature 00:04:00 Challenge - Work On Traverse List Features 00:03:00 Solution - Implementing List Traverse Features 00:08:00 Challenge - Work On DisplayElementNameOnPostion Features 00:01:00 Solution - Implementing DisplayElementNameOnPostion Features 00:06:00 Stack Data Structure Stack Data Structure 00:03:00 Using Object To Create Stack Class 00:04:00 Implementing Push and Pop Feature 00:09:00 Working with Peek and Clear Feature 00:04:00 Challenge - Extend Stack Class Feature 00:01:00 Solution - Extending Stack Class Feature 00:03:00 Challenge - Convert Stack Class From Object To Array Class 00:01:00 Solution - Converting Stack Class From Object To Array Class 00:05:00 Queue Data Structure Queue Data Structure 00:03:00 Using Object To Create Queue Class 00:04:00 Implementing Enqueue Feature 00:03:00 Implementing Tricky Dequeue Feature 00:09:00 Working On PeeK Size and Clear Features 00:03:00 Extending Features With Two Extra Methods 00:06:00 Challenge Convert Queue Class From Object To Array Class 00:01:00 Solution Converting Queue Class From Object To Array Class 00:04:00 Set Data Structure Set Data Structure 00:02:00 Creating Set Class 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Contains, Show And Size Method 00:05:00 Creating Unique Set 00:09:00 Adding Mutual Members Feature 00:04:00 Challenge Implement Difference Set Feature 00:02:00 Solution Implementing Difference Set Feature 00:03:00 Final Thought Final Thought 00:01:00 Resources Resources - JavaScript Data Structures Foundation Course 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Register on the Javascript for Data Structures today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Javascript for Data Structures is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! WHAT YOU GET WITH THE JAVASCRIPT FOR DATA STRUCTURES * Receive a e-certificate upon successful completion of the course * Get taught by experienced, professional instructors * Study at a time and pace that suits your learning style * Get instant feedback on assessments  * 24/7 help and advice via email or live chat * Get full tutor support on weekdays (Monday to Friday) COURSE DESIGN The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of * Video lessons * Online study materials CERTIFICATION Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. WHO IS THIS COURSE FOR: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. REQUIREMENTS: The online training is open to all students and has no formal entry requirements. To study the Javascript for Data Structures, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  COURSE CONTENT Introduction Welcome to the Course 00:03:00 Essential Concepts Essential Concepts 00:02:00 Constructor Function 00:09:00 Protoype 00:04:00 Class 00:04:00 List Data Structure List Data Structure 00:01:00 Creating Class For List Data Structure 00:03:00 Implementing Add Feature 00:06:00 Working On Find And Remove Feature 00:08:00 Creating InsertAfter Feature 00:05:00 Implementing Contains And Clear Feature 00:04:00 Challenge - Work On Traverse List Features 00:03:00 Solution - Implementing List Traverse Features 00:08:00 Challenge - Work On DisplayElementNameOnPostion Features 00:01:00 Solution - Implementing DisplayElementNameOnPostion Features 00:06:00 Stack Data Structure Stack Data Structure 00:03:00 Using Object To Create Stack Class 00:04:00 Implementing Push and Pop Feature 00:09:00 Working with Peek and Clear Feature 00:04:00 Challenge - Extend Stack Class Feature 00:01:00 Solution - Extending Stack Class Feature 00:03:00 Challenge - Convert Stack Class From Object To Array Class 00:01:00 Solution - Converting Stack Class From Object To Array Class 00:05:00 Queue Data Structure Queue Data Structure 00:03:00 Using Object To Create Queue Class 00:04:00 Implementing Enqueue Feature 00:03:00 Implementing Tricky Dequeue Feature 00:09:00 Working On PeeK Size and Clear Features 00:03:00 Extending Features With Two Extra Methods 00:06:00 Challenge Convert Queue Class From Object To Array Class 00:01:00 Solution Converting Queue Class From Object To Array Class 00:04:00 Set Data Structure Set Data Structure 00:02:00 Creating Set Class 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Contains, Show And Size Method 00:05:00 Creating Unique Set 00:09:00 Adding Mutual Members Feature 00:04:00 Challenge Implement Difference Set Feature 00:02:00 Solution Implementing Difference Set Feature 00:03:00 Final Thought Final Thought 00:01:00 Resources Resources - Javascript for Data Structures 00:00:00 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.