7265 Opera courses in Linlithgow delivered Online

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

Airport Management : Airport Management This comprehensive Airport Management course covers all aspects of airport operations, from ground handling and air traffic control to passenger services and airport security. Our Airport Management course provides you with the knowledge and skills needed to succeed in the fast-paced and dynamic world of airport management. Our Airport Management program is designed by experts in the field. With this Airport Management : Airport Management course, you will learn through a combination of theoretical study and hands-on experience, making you highly sought after by employers in the Airport Management industry. Our Airport Management : Airport Management course covers a wide range of topics, including Airport Planning and Development, Airport Management and Operations. Upon completion of our Airport Management program, you will be equipped with the skills and knowledge needed to manage airports effectively, ensuring the safe and efficient operation of the entire Airport Management. Special Offers of this Airport Management: Airport Management Course This Airport Management: Airport Management Course includes a FREE PDF Certificate. Lifetime access to this Airport Management: Airport Management Course Instant access to this Airport Management: Airport Management Course Get FREE Tutor Support from Monday to Friday in this Airport Management: Airport Management Course Main Course Level 5 Diploma in Airport Management Gift Courses Course 01: Project Management Course Course 02: Leadership and Management Course Course 03: Communication Skills Course Course 04: Level 4 Time Management [ Note: Free PDF certificate will provide as soon as complete the Airport Management : Airport Management ] Airport Management : Airport Management Industry Experts Designed this Airport Management: Airport Management course into 20 detailed modules. Assessment Method of Airport Management: Airport Management After completing each module of the Airport Management : Airport Management Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Airport Management: Airport Management After completing the MCQ/Assignment assessment for this Airport Management : Airport Management course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? Airport Management : Airport Management The Airport Management: Airport Management Course is ideal for anyone interested in pursuing a career in airport management. Requirements Airport Management : Airport Management Students who intend to enrol in this Airport Management: Airport Management course must meet the following requirements: Airport Management: Good command of the English language Airport Management: Must be vivacious and self-driven Airport Management: Basic computer knowledge Airport Management: A minimum of 16 years of age is required Career path Airport Management : Airport Management With the help of the Airport Management: Airport Management course, you will be able to seek several promising career opportunities. Certificates Certificate of completion Digital certificate - Included

Deepen your knowledge and understanding of water chemistry with the Water Chemistry Level 2 course. This course will provide you with insights into the components and the process of water treatment. You will also receive a valuable certificate upon completing the course. This certificate will elevate your resume and boost your employability in the relevant job market. The Water Chemistry Level 2 course will introduce you to the basics of chemistry. From this step-by-step learning process, you will learn the Alkalinity of water. The course will cover lessons on the principles of hard water and basic water treatment. You will comprehend the process of chemical water treatment. The informative modules will increase your knowledge of inorganic chemicals, volatile and synthetic organic compounds. From this comprehensive course, you will also attain the skills to maintain the safety and security of the laboratory. It will educate you on the essentials of chemical hygiene measures. The Water Chemistry Level 2 course is the perfect package to build your skills in water chemistry. Enrol now and start learning. Learning Objectives Familiarise yourself with the basics of chemistry Enrich your understanding of Alkalinity of Water Learn the principles of hard water and basic water treatment Know the chemical process of water treatment Get introduced to inorganic chemicals, volatile and synthetic organic compounds Deepen your understanding of the laboratory safety measures Explore the essential aspects of the chemical hygiene plan Who is this Course for? This Water Chemistry Level 2 course is ideal for aspiring professionals of the relevant industries who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of water chemistry or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the 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 £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successful completion of the Water Chemistry Level 2 course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Water Treatment Operator Environmental Scientist Project Engineer Environmental Engineer Water Operator Course Curriculum Module 01: Introduction to Water Chemistry Introduction to Water Chemistry 00:23:00 Module 02: Concepts of Basic Chemistry Concepts of Basic Chemistry 00:22:00 Module 03: Alkalinity of Water Alkalinity of Water 00:15:00 Module 04: Hard Water and Basic Water Treatment Principles Hard Water and Basic Water Treatment Principles 00:20:00 Module 05: Water Treatment and Purification Water Treatment and Purification 00:31:00 Module 06: Chemical Processes of Water Treatment Chemical Processes of Water Treatment 00:16:00 Module 07: Inorganic Chemicals Inorganic Chemicals 00:17:00 Module 08: Volatile and Synthetic Organic Compounds Volatile and Synthetic Organic Compounds 00:25:00 Module 09: Metalloid Section Metalloid Section 00:18:00 Module 10: Metals and Heavy Metal Section Metals and Heavy Metal Section 00:33:00 Module 11: Laboratory Safety Laboratory Safety 00:33:00 Module 12: Chemical Hygiene Plan Chemical Hygiene Plan 00:13:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Explore the essentials of cleaning business management with our comprehensive course. Learn strategies, financial management, and customer acquisition to excel in the cleaning industry.

Overview This comprehensive course on Financial Modelling for Decision Making and Business plan will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Modelling for Decision Making and Business plan comes with accredited certification from CPD, 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 Financial Modelling for Decision Making and Business plan. It is available to all students, of all academic backgrounds. Requirements Our Financial Modelling for Decision Making and Business plan 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 4 sections • 19 lectures • 03:20:00 total length •Introduction to the course: 00:02:00 •Introducton to the Business Priocess: 00:03:00 •What is Financial Modelling: 00:08:00 •Starting Point of a Financial Model: 00:04:00 •First Steps before Starting to create Financial Model and Linking Business Model: 00:07:00 •Starting with End in Mind-Comparative P&L: 00:13:00 •Customer Acquisition Model: 00:16:00 •Revenue and Cost Models: 00:22:00 •Adding Product and Modelling Labour and Other Costs: 00:21:00 •Modelling Capital Investments and ROI Calc: 00:10:00 •Detailed Customer Acquisition Model and Revenue Model: 00:17:00 •Cost of Sale Model: 00:08:00 •Modelling Labour Cost: 00:07:00 •Modelling Other Operating Expenses: 00:14:00 •Modelling Income Statement and Cash Flows: 00:27:00 •Modelling Balance Sheet: 00:14:00 •Fixing the Error in Financial Model and Brief of RR: 00:07:00 •Financial Model for Business plan for New Business: 00:00:00 •Assignment - Financial Modelling for Decision Making and Business plan: 00:00:00

Course Overview: Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide. This comprehensive course covers a broad spectrum of data analytics, starting with an engaging 'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.' Enrol today and start your journey to becoming a data analytics expert! Key Features of the Course: This course comes with a CPD certificate, affirming your proficiency in data analytics. It offers 24/7 learning assistance to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and engaging learning materials, carefully curated to make your journey in data analytics enlightening. Who is This Course For? This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age. What You Will Learn: Understand the fundamental concepts of data analytics. Apply statistical techniques to analyse large data sets. Implement effective strategies for data collection and storage. Master the art of data mining and extraction of valuable insights. Utilise Excel and other tools effectively for data analysis. Develop a data-analytic mindset for problem-solving. Translate data insights into compelling visualisations. Why Enrol in This Course: This course will open doors to many opportunities. You will learn from top-notch professionals, utilise quality learning materials and have access to trending and recently updated curriculum. Requirements: A basic understanding of computers A willingness to learn Career Path: The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as: Data Analyst (£30,000-£60,000) Business Analyst (£35,000-£70,000) Market Research Analyst (£27,000-£55,000) Operations Analyst (£31,000-£62,000) Quantitative Analyst (£45,000-£85,000) Data Scientist (£50,000-£90,000) Data Engineer (£35,000-£75,000) Certification: On successful completion of this course, you will receive a CPD certificate, testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world. Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you! FAQ What do you mean by data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights. What data analytics actually do? Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance. What are the 5 data analytics? The 5 data analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Visual analytics: This type of analytics uses visual representations of data to make it easier to understand. What is data analytics examples? Here are some examples of data analytics: A retailer uses data analytics to track customer behaviour and identify trends. A bank uses data analytics to predict which customers are likely to default on their loans. A healthcare provider uses data analytics to identify patients who are at risk for certain diseases. What are 4 types of analytics? The 4 types of analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Why do we use data analytics? We use data analytics to make better decisions, improve efficiency, and drive innovation. Here are some of the benefits of using data analytics: Better decision-making: Data analytics can help businesses make better decisions by providing them with insights into their data. Improved efficiency: Data analytics can help businesses improve efficiency by identifying areas where they can save time and money. Driven innovation: Data analytics can help businesses drive innovation by identifying new opportunities and trends. Course Curriculum 13 sections • 13 lectures • 12:25:00 total length •Introduction to the World of Data: 01:00:00 •Basics of Data Analytics: 00:40:00 •Statistics for Data Analytics: 01:00:00 •Actions Taken in the Data Analysis Process: 00:55:00 •Gathering the Right Information: 01:00:00 •Storing Data: 01:15:00 •Data Mining: 01:00:00 •Excel for Data Analytics: 01:20:00 •Tools for Data Analytics: 01:20:00 •Data-Analytic Thinking: 01:10:00 •Data Visualisation That Clearly Describes Insights: 00:45:00 •Data Visualization Tools: 01:00:00 •Assignment - Data Analytics: 00:00:00

Overview This comprehensive course on Kotlin for Android will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin for Android comes with accredited certification from CPD, 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 Kotlin for Android. It is available to all students, of all academic backgrounds. Requirements Our Kotlin for Android 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 9 sections • 96 lectures • 22:57:00 total length •Promo Video: 00:02:00 •Introduction: 00:01:00 •First look at Kotlin: 00:04:00 •Install JDK and Android Studio for Mac: 00:13:00 •Install JDK and Android Studio for Windows: 00:10:00 •Android Emulator: 00:12:00 •DinnerDecider Part 1: 00:21:00 •DinnerDecider Part 2: 00:24:00 •DinnerDecider Part 3: 00:11:00 •Run on a Real Device!: 00:07:00 •Run on a Real Device from Windows!: 00:06:00 •Installing IntellijIDEA for Mac: 00:09:00 •Installing IntellijIDEA for Windows: 00:09:00 •Variables with Kotlin: 00:17:00 •Strings with Kotlin: 00:22:00 •Numbers and Operators with Kotlin: 00:04:00 •Functions with Kotlin: 00:17:00 •Conditional Logic with Kotlin: 00:19:00 •Collections with Kotlin: 00:19:00 •Loops with Kotlin: 00:09:00 •Nullability with Kotlin: 00:18:00 •Classes and Inheritance with Kotlin: 00:28:00 •Lambda with Kotlin: 00:23:00 •Intro to Git and Terminal: 00:01:00 •Git and Version Control - The Fun Way!: 00:12:00 •Terminal Basics - Changing Directories: 00:06:00 •Terminal Basics - Creating Directories and Files: 00:05:00 •Terminal Basics - Copying and Renaming Files: 00:09:00 •Terminal Basics - Deleting Files and Directories: 00:06:00 •Terminal Basics - Git Basics: 00:17:00 •Setting up Github: 00:05:00 •Working with Local and Remote Repositories: 00:11:00 •Handling Git Merge Conflicts: 00:17:00 •Using Git with Android Studio: 00:13:00 •Importing Projects and Merge Conflicts: 00:15:00 •Intro to Android Constraint Layout: 00:16:00 •Phone Portrait Layout Part 1: 00:20:00 •Phone Portrait Layout Part 2: 00:19:00 •Tablet Portrait Layout: 00:27:00 •Tablet Landscape: 00:24:00 •Intro to the app: 00:02:00 •Welcome Screen Layout: 00:22:00 •League Selection Layout: 00:21:00 •Intents and Context: 00:20:00 •Lifecycle Overview: 00:04:00 •Lifecycle in action: 00:13:00 •Skill Selection Layout: 00:16:00 •Buttoning up the Activities: 00:18:00 •Toggling the Skills: 00:21:00 •Parcelable: 00:13:00 •Instance State: 00:13:00 •Swoosh Challenge: 00:01:00 •CoderSwag Introduction: 00:02:00 •Data Structure: 00:19:00 •Simple ListView: 00:14:00 •Custom List Adapter: 00:20:00 •View Holder: 00:12:00 •RecyclerView Adapter: 00:29:00 •Recycler View Clicks: 00:13:00 •Product List View: 00:10:00 •Product Recycle Adapter: 00:23:00 •Smack Introduction: 00:04:00 •Project Setup: 00:23:00 •MainActivity UI Setup: 00:18:00 •Login Activity UI: 00:12:00 •CreateUserActivity UI: 00:14:00 •Generate Avatar and Background Color: 00:15:00 •Webrequests and APIs: 00:09:00 •Hosting API: 00:20:00 •Local Hosting API: 00:20:00 •Our First Web Request: 00:20:00 •Registering a User: 00:18:00 •Login User: 00:27:00 •Creating a User: 00:23:00 •Polishing up Create User Activity: 00:17:00 •Broadcast Receiver: 00:26:00 •Find User: 00:20:00 •Polishing up the Login Activity: 00:11:00 •Add Channel Dialog: 00:15:00 •Sockets: 00:17:00 •Sockets.On: 00:21:00 •Downloading Channels: 00:26:00 •Shared Preferences: 00:24:00 •Channel Selection: 00:12:00 •Send and Receive Message: 00:18:00 •Downloading Messages: 00:21:00 •Displaying Messages: 00:23:00 •Date Formatter: 00:17:00 •Intro to Section - Google Play Store: 00:02:00 •Side Loading: 00:10:00 •Registering Account: 00:04:00 •Removing Logs: 00:06:00 •Generate Signed APK: 00:06:00 •Store Listing: 00:18:00 •Published!: 00:06:00 •Assignment -Kotlin for Android: 00:00:00

The travel and tourism industry is one of the fastest-growing industries, with new jobs being created every day. In the Travel & Tourism course, you will gain an in-depth understanding of the nature of the travel and tourism industry and the different roles in this sector.  Whether you want to work in tourism marketing or hospitality and entertainment, this course will provide you with an in-depth understanding of job opportunities in this field, as well as the fundamental skills to fast track your career. Through case studies and practical exercises, our experienced tutor will teach you about the history of tourism, the growing importance of sustainability in tourism, top travel destinations, and much more.  Learning Objectives: Demonstrate an in-depth understanding of the different types of travel tourism and tour operators Understand how to travel and tourism industry has developed in recent years Explore the role of travel and tourism organisations and their interrelationships Learn the differences in the tourism industry between the private and public sector Broaden your understanding of the differences between inbound, outbound and domestic tourism Gain in-depth knowledge of your career opportunities and career paths in this sector Develop essential customer service, presentation and hospitality skills Understand the importance of sustainability in tourism and explore sustainable developments and trends in this sector Learn how to utilise social media for marketing tourist attractions and destinations Who is This for? This diploma in Travel and Tourism is ideal for those who are interested in a career in this sector and want to develop their skills and practical knowledge. Our online courses are specially designed for distance learning, offering flexible virtual classroom modules that you can study at your own convenience. There are no specific entry requirements for this course. Entry Requirement: This course is available to all learners, of all academic backgrounds. Good understanding of English language, numeracy and ICT are required to attend this course. Certificate of Completion from Course Gate At the successful completion of the course, the learners may order the Certificate of Completion from Course Gate (soft copy) by paying only £2. For the Printed hard copy of the certificate, the learners have to pay £9. There is an additional £10 delivery charge for international students. Career Path On successful completion of the course, learners will be able to demonstrate an excellent understanding of the tourism industry, travel marketing and the role of travel organisations, equipped with the industry knowledge to fast track their career. Related professions in this field include: Travel Sales Consultant Tour Guide/Operator Travel Agent Travel writer/Journalist Course Curriculum Module 01: An Introduction to Travel & Tourism An Introduction to Travel & Tourism 00:30:00 Assessment Module 01 Module 01 Final Quiz Exam - Travel & Tourism 00:10:00 Module 02: The Business of Travel and Tourism The Business of Travel and Tourism 00:15:00 Assessment Module 02 Module 02 Final Quiz Exam - Travel & Tourism 00:10:00 Module 03: Marketing to the Traveling Public Marketing to the Traveling Public 00:20:00 Assessment Module 03 Module 03 Final Quiz Exam - Travel & Tourism 00:10:00 Module 04: Characteristics of Travel and Tourism Organisations Characteristics of Travel and Tourism Organisations 00:15:00 Assessment Module 04 Module 04 Final Quiz Exam - Travel & Tourism 00:10:00 Module 05: Career Development within the Industry Career Development within the Industry 00:15:00 Assessment Module 05 Module 05 Final Quiz Exam - Travel & Tourism 00:10:00 Module 06: Sustainable Tourism Sustainable Tourism 00:20:00 Assessment Module 06 Module 06 Final Quiz Exam - Travel & Tourism 00:10:00 Module 07: Sociocultural Impacts of Travel and Tourism Sociocultural Impacts of Travel and Tourism 00:20:00 Assessment Module 07 Module 07 Final Quiz Exam - Travel & Tourism 00:10:00 Module 08: Environmental Impacts of Tourism Environmental Impacts of Tourism 00:15:00 Assessment Module 08 Module 08 Final Quiz Exam - Travel & Tourism 00:10:00 Module 09: Social Media and Tourism Marketing Social Media and Tourism Marketing 00:10:00 Assessment Module 09 Module 09 Final Quiz Exam - Travel & Tourism 00:10:00 Module 10: Tourism and UK Tourism and UK 00:10:00 Assessment Module 10 Module 10 Final Quiz Exam - Travel & Tourism 00:10:00

Overview This comprehensive course on CompTIA A+ (220-1002) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA A+ (220-1002) comes with accredited certification from CPD, 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 CompTIA A+ (220-1002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1002) 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 Course Curriculum 22 sections • 106 lectures • 14:51:00 total length •CompTIA A+ 2019 Core 2 (220-1002) Course Introduction: 00:02:00 •What is the CompTIA A+: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 2 (220-1002) Exam?: 00:04:00 •How to Pass the CompTIA A+ Exam: 00:04:00 •How to use this Video Course: 00:03:00 •Professional Communication Part 1: 00:06:00 •Professional Communication Part 2: 00:07:00 •Physical Safety: 00:07:00 •What is an Operating System?: 00:09:00 •Users and Super Users: 00:05:00 •Why Windows?: 00:08:00 •Windows Editions and Versions: 00:12:00 •Touring the macOS: 00:06:00 •Touring Linux: 00:08:00 •32-Bit vs. 64-Bit Processing: 00:12:00 •Virtual Memory: 00:06:00 •Power Protection: 00:10:00 •Understanding Partitioning: 00:04:00 •MBR Partitioning: 00:12:00 •GPT Partitioning: 00:09:00 •Understanding File Systems: 00:12:00 •Popular File Systems: 00:07:00 •Formatting in Action: 00:11:00 •Dynamic Disks: 00:09:00 •Software RAID in Storage Spaces: 00:10:00 •Encrypting Mass Storage: 00:09:00 •Boot from Everything: 00:12:00 •Installing Windows: 00:12:00 •Post-Installation Tasks: 00:12:00 •Windows Installation options: 00:07:00 •What is the Registry?: 00:11:00 •Processes: 00:07:00 •Services: 00:04:00 •Your Windows Toolset: 00:08:00 •Windows 7 Task Manager: 00:09:00 •Windows 10 Task Manager: 00:06:00 •Information and Configuration Tools: 00:11:00 •Performance Monitor: 00:12:00 •Event Viewer: 00:07:00 •Tools for Programmers: 00:08:00 •Introduction to Users and Groups: 00:06:00 •Managing Users and Groups: 00:12:00 •NTFS Permissions: 00:08:00 •Linux and macOS Permissions: 00:05:00 •File Explorer: 00:14:00 •Sharing Resources: 00:11:00 •Security Policies: 00:08:00 •Patch Management: 00:11:00 •Working with Disks: 00:06:00 •Working with Applications: 00:07:00 •System Restore: 00:05:00 •Backing up Your Files: 00:07:00 •Task Scheduler: 00:07:00 •Understanding the CLI: 00:11:00 •Navigating the CLI: 00:14:00 •Working with Folders: 00:07:00 •Working with Files: 00:11:00 •Working with Drives: 00:13:00 •Super Copy Commands: 00:09:00 •Advanced Windows Command Line: 00:08:00 •Advanced Linux Commands: 00:13:00 •Command-Line Permissions: 00:08:00 •Introduction to Scripting: 00:10:00 •Interpreted Languages: 00:12:00 •Windows Recovery Environment: 00:05:00 •Advanced Windows Startup Options: 00:07:00 •Troubleshooting Boot Problems: 00:10:00 •Troubleshooting at the GUI: 00:11:00 •Troubleshooting Applications: 00:07:00 •Kernel Panic: 00:05:00 •Resolutions and Aspect Ratios: 00:06:00 •Multiple Monitors: 00:05:00 •Network Card Troubleshooting: 00:09:00 •Working with Connections: 00:09:00 •Working with Workgroups: 00:08:00 •Working with Active Directory: 00:14:00 •Windows Sharing with Mac and LInux: 00:07:00 •Net Command: 00:04:00 •Firewall Configuration: 00:11:00 •Windows Firewall: 00:08:00 •Port Forwarding: 00:07:00 •Wireless Encryption: 00:11:00 •Enterprise Wireless: 00:16:00 •Telnet and SSH: 00:07:00 •Remote Desktop Connections: 00:06:00 •The World Wide Web: 00:09:00 •Troubleshooting Internet Connections: 00:07:00 •Power Management: 00:11:00 •Mobile Device Security: 00:08:00 •Mobile Security Troubleshooting: 00:06:00 •Mobile Device Troubleshooting: 00:10:00 •Threats: 00:10:00 •Physical Security: 00:08:00 •Passwords and Authentication: 00:14:00 •Malware: 00:14:00 •Anti-Malware: 00:11:00 •Social Engineering: 00:06:00 •Licensing: 00:10:00 •Incident Response: 00:05:00 •Environmental Controls: 00:06:00 •Documents You Need to Know: 00:09:00 •Data You Need to Know: 00:04:00 •Change Management: 00:06:00 •The Zen of Backup: 00:11:00 •Recycling and Data Destruction: 00:07:00

Overview Are you ready to dive into data analysis and unlock valuable insights that can drive business growth? Introduction to Data Analysis is a comprehensive course designed to provide learners with a solid foundation in the principles and techniques of data analysis. This course will equip you with the essential skills and knowledge to thrive in data analysis. With a comprehensive curriculum spanning 22 modules, you will delve deep into the world of data, from understanding its fundamentals to harnessing it for meaningful insights. Our expertly crafted curriculum covers data collection, process management, statistical tools, control charts, and strategies to deal with variation.Enrol today in this Introduction to Data Analysis course to succeed in all areas of your life. Let your skill become your greatest asset! Key Features of the Course This course equips learners with the essential tools and knowledge to analyse and interpret data accurately. The course is accredited, ensuring its recognition and credibility within the professional community. Learners will have access to 24/7 learning assistance, allowing them to seek guidance and support whenever needed. Who is This course for? This Introduction to Data Analysis course is suitable for students & professionals from various fields, including business, finance, marketing, healthcare, and more. It is also beneficial for individuals looking to enhance their data analysis skills for personal or professional development. What You Will Learn Throughout the course, you will delve into various modules that cover essential concepts and tools for data analysis. Starting with an introduction to process management principles, you will progress through topics such as the voice of the process, customer feedback analysis, and data visualisation using tools like Pareto charts, histograms, and run charts. You will also gain a deep understanding of variation and control charts and learn how to interpret and use them effectively for process improvement. By the end of the course, learners will have a solid understanding of these topics and be able to apply their knowledge to real-world data analysis scenarios. Why Enrol in This Course Data analysis is one of the most sought-after skills in today's job market. According to LinkedIn, data analysis is among the top 10 most in-demand skills for 2023. Data analysis can help you: Improve your decision-making skills and confidence Enhance your problem-solving and critical-thinking abilities Boost your creativity and innovation potential Increase your productivity and efficiency Advance your career and create earning potential Requirements There are no specific prerequisites for this course. However, a basic understanding of mathematics and statistics will be beneficial. Access to a computer with an internet connection is also required to complete the course. Career Path Completing this Introduction to Data Analysis course can lead to various career opportunities in data analysis. Some of the course-related professions in the UK, along with their average salaries, include: Data Analyst (£35,000 - £45,000 per year) Business Analyst (£40,000 - £55,000 per year) Financial Analyst (£40,000 - £60,000 per year) Market Research Analyst (£25,000 - £40,000 per year) Operations Analyst (£35,000 - £50,000 per year) Healthcare Data Analyst (£35,000 - £50,000 per year) Quality Control Analyst (£25,000 - £35,000 per year) Certification Upon successful completion of the course, learners will receive a CPD certificate, validating their achievement and demonstrating their commitment to professional development in the field of data analysis. Course Curriculum 3 sections • 24 lectures • 02:13:00 total length •Module 01: Introduction: 00:02:00 •Module 02: Agenda and Principles of Process Management: 00:06:00 •Module 03: The Voice of the Process: 00:05:00 •Module 04: Working as One Team for Improvement: 00:04:00 •Module 05: Exercise: The Voice of the Customer: 00:03:00 •Module 06: Tools for Data Analysis: 00:07:00 •Module 07: The Pareto Chart: 00:03:00 •Module 08: The Histogram: 00:03:00 •Module 09: The Run Chart: 00:04:00 •Module 10: Exercise: Presenting Performance Data: 00:05:00 •Module 11: Understanding Variation: 00:06:00 •Module 12: The Control Chart: 00:06:00 •Module 13: Control Chart Example: 00:04:00 •Module 14: Control Chart Special Cases: 00:06:00 •Module 15: Interpreting the Control Chart: 00:10:00 •Module 16: Control Chart Exercise: 00:07:00 •Module 17: Strategies to Deal with Variation: 00:06:00 •Module 18: Using Data to Drive Improvement: 00:14:00 •Module 19: A Structure for Performance Measurement: 00:06:00 •Module 20: Data Analysis Exercise: 00:06:00 •Module 21: Course Project: 00:03:00 •Module 22: Test your Understanding: 00:17:00 •Resources - Introduction to Data Analysis: 00:00:00 •Assignment - Introduction to Data Analysis: 00:00:00