4213 Engineer courses

Presently, there are roughly 1.9 million people working in the hospitality industry. And if you prefer to study this Advanced Diploma in Restaurant and Hospitality Management course, then there is a probability for you to be one of them. We all probably know why the hospitality industry is so thriving these days, and why so many people desire to work in it. We have delicately designed this course where you will learn restaurant and hospitality management at the same time. You will learn how to work in a fast-paced environment and perform varied tasks every day. Become a part of the foodservice industry and learn hospitality management with just one single course. Who is the course for? Any professional who works in the hotel or part of a hotel's management People who have an interest in hospitality and management Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Advanced Diploma in Restaurant and Hospitality Management - Update Version Module 1: Introduction to Hospitality Management Introduction to Hospitality Management 00:21:00 Module 2: An Overview of Hotel Industry An Overview of Hotel Industry 00:15:00 Module 3: The Process of Selection and Recruitment in Hospitality Industry The Process of Selection And Recruitment in Hospitality Industry 00:18:00 Module 4: The Process of Development and Training in Hospitality Industry The Process of Development and Training in the Hospitality Industry 00:21:00 Module 5: Management of Front Office Operations Management of Front Office Operations 00:16:00 Module 6: Management of Housekeeping, Engineering and Security Operations Management of Housekeeping, Engineering and Security Operations 00:24:00 Module 7: Management of Food and Beverage Operations Management of Food and Beverage Operations 00:17:00 Module 8: Management of Service Quality in Hospitality Industry Management of Service Quality in the Hospitality Industry 00:17:00 Module 9: Marketing in Travel and Tourism Business Marketing in Travel and Tourism Business 00:21:00 Module 10: Accounting in Hospitality Industry Accounting in Hospitality 00:23:00 Module 11: Customer Satisfaction Customer Satisfaction 00:20:00 Module 12: E-Hospitality and Technology E-Hospitality and Technology 00:19:00 Advanced Diploma in Restaurant and Hospitality Management - Old Version Starting a Restaurant Are you ready for the challenge? 00:15:00 How to decide on a concept 00:30:00 Designing your restaurant 00:15:00 Friends and family 00:15:00 Writing a Business Plan 00:30:00 Insurance 00:15:00 Restaurant Organizations that you need to check out. 00:15:00 What are the best Catering Industry Trade Shows? 00:15:00 Managing a Restaurant Managing Yourself 00:30:00 Managing Others 00:30:00 Managing Your Money 00:15:00 Managing Your Food and Supplies 00:30:00 Managing Everything Else 00:30:00 Starting Food Catering Where You Work 00:15:00 Health and safety 00:15:00 Staff, Suppliers and Transport 00:00:00 Food Hygiene 01:00:00 Rules about Menus 00:15:00 Paperwork and Finances 00:15:00 Law 00:15:00 Food Business Food Business Basics 00:45:00 Put Together Your Business Concept 00:10:00 Identify Your Target Market 00:10:00 Identify Your Competition 00:10:00 Write A Mission Statement 00:10:00 Downline Basics 00:15:00 Equipment And Supplies 00:10:00 Marketing And Quality Control 00:10:00 Wrapping Up 00:05:00 Hospitality Introduction to Hospitality 00:15:00 Characteristics of the Hospitality Industry 00:15:00 Relationship Between the Hospitality Industry and Tourism 00:15:00 Types of Accommodation 00:15:00 Types of Room 00:30:00 Types of Hotel Guests 00:15:00 Hospitality Management Introduction to Hospitality Management 01:00:00 Influences Which Affect the Industry 00:05:00 The Development of the Hospitality Industry 00:05:00 Hospitality Brands 00:15:00 Accommodation 00:05:00 Food Service 00:05:00 Successful Quality Management 00:05:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

As food safety regulations continue to evolve and consumer demand for safe food products remains high, the demand for skilled professionals in this field is expected to grow. Our Food Microbiology, HACCP Training, and Food Hygiene Rating bundle will take you to a comprehensive educational journey where we focus on ensuring food safety and maintaining high standards of hygiene in the food industry. With the demand for food safety professionals on the rise, this bundle paves the way to a rewarding career. In the UK, professionals in the field can earn an average salary ranging from £25,000 to £40,000 per year. This combined package offers three courses that explore the core concepts of Food Microbiology, HACCP Training, and techniques to Improve Your Food Hygiene Rating. In this engaging bundle, you'll explore the fascinating world of microorganisms in food, the principles of hazard analysis and critical control points, and strategies to enhance food safety and hygiene practices. Empower yourself with the knowledge to implement a requisite food safety management system, ensuring compliance and fostering a culture of excellence in hygiene practices. Each course in this Mechanical Engineering for Large Goods Vehicle (LGV) Operations bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Mechanical Engineering for Large Goods Vehicle (LGV) Operations bundle promises education and an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now! The courses in this bundle include: Food Microbiology HACCP Training Course How to Improve Your Food Hygiene Rating Learning Outcomes: Develop an understanding of food microbiology, ranging from the predominant microorganisms in food to the impact of microorganisms on foodborne diseases. Acquire knowledge of microbiological hazards, allergenic and chemical hazards, and the ability to create and implement a HACCP system. Know essential techniques of personal hygiene, cleaning and disinfection, pest management, and the implementation of food safety management systems. Gain a deep understanding of the Food Hygiene Rating Scheme, its principles, and the factors that influence food hygiene ratings. Learn about proper food preparation and processing, waste disposal, and the design and construction of food premises and equipment. Enhance your ability to supervise and train staff in food safety practices, ensuring compliance with regulations and industry best practices. In the Food Microbiology course, explore various modules that cover the fundamental concepts of microorganisms in food. From understanding food preservation and fermentation to identifying common microorganisms and their impact on food spoilage and foodborne diseases, this course equips you with the knowledge to assess and mitigate potential risks. The HACCP Training course provides an in-depth understanding of Hazard Analysis and Critical Control Points, enabling you to identify and control food safety hazards effectively. Learn about microbiological, allergenic, and chemical hazards, and gain the skills to create and implement a robust HACCP system, ensuring the highest levels of food safety. By mastering these principles, you'll play a vital role in safeguarding food production processes and ensuring consumer protection. The How to Improve Your Food Hygiene Rating course focuses on enhancing food hygiene practices to achieve better ratings. Explore modules that cover personal hygiene, contamination hazards, cleaning and disinfection, pest management, and the implementation of food safety management systems. Elevate your understanding of the factors influencing food hygiene ratings, empowering you to implement best practices and maintain high standards of cleanliness and safety. Join us today and make a difference in the world of food microbiology, HACCP compliance, and food hygiene rating. Elevate your understanding, unlock new career opportunities, and become a guardian of food safety in an industry that prioritises the well-being of consumers. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals in the food industry who want to enhance their understanding of food safety, microbiology, HACCP principles, and food hygiene rating. Individuals responsible for food safety management and compliance within their organisations. Entrepreneurs or aspiring food business owners seeking to establish and maintain high standards of food safety and hygiene. Food inspectors, auditors, and consultants looking to expand their knowledge and expertise in the field. Individuals interested in pursuing a career in food safety, quality assurance, or regulatory compliance. Career path Food Safety Specialist - £25,000 to £35,000 per year Quality Assurance Manager - £30,000 to £45,000 per year HACCP Coordinator - £25,000 to £35,000 per year Food Inspector - £25,000 to £35,000 per year Hygiene and Compliance Officer - £25,000 to £35,000 per year Food Safety Auditor - £30,000 to £45,000 per year Regulatory Compliance Manager - £35,000 to £50,000 per year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - £9.99 Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates! Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for Food Microbiology absolutely free! Upon finishing HACCP Training Course and How to Improve Your Food Hygiene Rating, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!

Overview This comprehensive course on Solar Energy will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Solar Energy 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Solar Energy. It is available to all students, of all academic backgrounds. Requirements Our Solar Energy 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 10 sections • 55 lectures • 11:44:00 total length •Module 1- Introduction To PV System Construction: 00:24:00 •Module 2- Solar Heating, Solar Irradiation And Panels: 00:38:00 •Module 3- Effect of Insolation and Temperature on V-I Curve: 00:05:00 •Module 4- PV Installation, Short Circuit And Open Circuit Tests Using Avometer: 00:15:00 •Module 5- Solar Wires And Cables Installation Process: 00:22:00 •Module 6- Mounting Of PV System: 00:04:00 •Module 7- Shading and Tilt angle In Solar Energy: 00:15:00 •Module 8- Half Cut Cell Technology In PV System For Solar Engineering: 00:25:00 •Module 9- Importance Of Charge Controller In Solar Energy System: 00:03:00 •Module 10- PWM And MPPT Charge Controllers: 00:14:00 •Module 11- Understanding More about MPPT Solar Charge Controller For Solar Energy Course: 00:24:00 •Module 12- Junction Box In Solar Energy System: 00:04:00 •Module 13- Wiring of Junction Box In Solar Energy System: 00:05:00 •Module 14- Function, Types And Data Sheet Of Inverter: 00:55:00 •Module 15- Determining PV Array Maximum System Voltage: 00:09:00 •Module 1- Construction And Types Of Batteries In Solar Energy System: 00:09:00 •Module 2- Charging Of Lead Acid Batteries And Hydrometer In Solar Energy System: 00:07:00 •Module 3- Maintenance Of Batteries And Methods Of Charging In Solar Energy System: 00:03:00 •Module 4- Cycle of Batteries: 00:04:00 •Module 1- Off-Grid Solar System: 00:02:00 •Module 2- Advantages of Off-Grid Solar System: 00:02:00 •Module 3- Equipment of Off-Grid Solar System: 00:04:00 •Module 4- Selection and Datasheet of the Panel: 00:04:00 •Module 5- Inverter Selection: 00:02:00 •Module 6- Example 1 On Designing Off Grid System: 00:01:00 •Module 7- Determine Power Consumption Demands: 00:04:00 •Module 8- Size the PV modules: 00:05:00 •Module 9- Inverter sizing: 00:04:00 •Module 10- Battery Sizing: 00:08:00 •Module 11- Solar Charge Controller Sizing: 00:05:00 •Module 12- MPPT Charge Controller Sizing: 00:10:00 •Module 13- Example 2 Design of an OFF Grid System: 00:20:00 •Module 1- Grid-Tied Solar System: 00:03:00 •Module 2- Advantages of Grid-Tied Solar System: 00:04:00 •Module 3- Equipment of Grid-Tied Solar System: 00:03:00 •Module 4- Example Design of an On Grid System: 00:10:00 •Module 5- PV Energy According to Area: 00:02:00 •Module 1- Design of an Off Grid Solar Energy System Using PVSYST Program: 00:28:00 •Module 2- Design Of An On Grid Solar Energy System Using PVSyst Program: 00:12:00 •Module 3- Mega PV System Design Using PVSyst Program For Solar Energy: 00:29:00 •Module 1- Introduction To Water Pumping System And Steps Of Design: 00:24:00 •Module 2- Solved Example On Solar Pumping System Design: 00:23:00 •Module 1- Introduction to Protection Of PV System: 00:07:00 •Module 2- Selection of Fuses and Protection of String: 00:13:00 •Module 3- Protection of Arrays: 00:07:00 •Module 4- Protection of Inverter: 00:07:00 •Module 5- Protection of Transformer: 00:07:00 •Module 6- Surge Protection Device: 00:02:00 •Module 7- Grounding of PV System: 00:07:00 •Module 8- Types of BusBars in PV System and Selection of BusBars: 00:12:00 •Module 1-Design Of Off Grid PV System Using Excel Sheet: 00:26:00 •Module 1- Single Line Diagram Of PV System And Selection Of Fuses And Breakers: 00:45:00 •Module 1- Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics: 00:28:00 •Module 2- Get a Complete Grid Connected PV Solar Energy System In MATLAB Simulink: 00:25:00 •Module 3- PV System Simulation Using ETAP Lesson: 00:24:00

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 This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Overview This comprehensive course on CompTIA Network (N10-007) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Network (N10-007) 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 Network (N10-007). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Network (N10-007) 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 • 172 lectures • 22:43:00 total length •Introduction: 00:03:00 •What is a Model?: 00:02:00 •OSI vs. TCP/IP Model: 00:07:00 •Walking Through OSI and TCP/IP: 00:12:00 •Meet the Frame: 00:06:00 •The MAC Address: 00:07:00 •Broadcast vs. Unicast: 00:04:00 •Introduction to IP Addressing: 00:08:00 •Packets and Ports: 00:05:00 •Network Topologies: 00:10:00 •Coaxial Cabling: 00:05:00 •Twisted Pair Cabling: 00:06:00 •Cat Ratings: 00:06:00 •Fiber Optic Cabling: 00:09:00 •Fire Ratings: 00:05:00 •Legacy Network Connections: 00:07:00 •What is Ethernet?: 00:07:00 •Ethernet Frames: 00:07:00 •Early Ethernet: 00:08:00 •The Daddy of Ethernet, 10BaseT: 00:03:00 •Terminating Twisted Pair: 00:14:00 •Hubs vs. Switches: 00:13:00 •100BaseT: 00:05:00 •Connecting Switches: 00:05:00 •Gigabit Ethernet and 10-Gigabit Ethernet: 00:05:00 •Transceivers: 00:07:00 •Connecting Ethernet Scenarios: 00:14:00 •Introduction to Structured Cabling: 00:04:00 •Terminating Structured Cabling: 00:08:00 •Equipment Room: 00:07:00 •Alternative Distribution Panels: 00:04:00 •Testing Cable: 00:09:00 •Troubleshooting Structured Cabling, Part 1: 00:05:00 •Troubleshooting Structured Cabling, Part 2: 00:05:00 •Using a Toner and Probe: 00:03:00 •Wired Connection Scenarios: 00:11:00 •Introduction to IP Addressing and Binary: 00:13:00 •Introduction to ARP: 00:04:00 •Classful Addressing: 00:10:00 •Subnet Masks: 00:12:00 •Subnetting with CIDR: 00:10:00 •More CIDR Subnetting Practice: 00:10:00 •Dynamic and Static IP Addressing: 00:18:00 •Rogue DHCP Servers: 00:07:00 •Special IP Addresses: 00:07:00 •IP Addressing Scenarios: 00:15:00 •Introducing Routers: 00:15:00 •Understanding Ports: 00:05:00 •Network Address Translation: 00:06:00 •Implementing NAT: 00:03:00 •Forwarding Ports: 00:18:00 •Tour of a SOHO Router: 00:12:00 •SOHO vs. Enterprise: 00:09:00 •Static Routes: 00:13:00 •Dynamic Routing: 00:11:00 •RIP: 00:04:00 •OSPF: 00:04:00 •BGP: 00:06:00 •TCP and UDP: 00:07:00 •ICMP and IGMP: 00:06:00 •Handy Tools: 00:07:00 •Introduction to Wireshark: 00:11:00 •Introduction to netstat: 00:09:00 •Web Servers: 00:12:00 •FTP: 00:12:00 •E-mail Servers and Clients: 00:09:00 •Securing E-mail: 00:06:00 •Telnet and SSH: 00:09:00 •Network Time Protocol: 00:02:00 •Network Service Scenarios: 00:10:00 •Understanding DNS: 00:12:00 •Applying DNS: 00:19:00 •The Hosts File: 00:04:00 •Net Command: 00:08:00 •Windows Name Resolution: 00:11:00 •Dynamic DNS: 00:05:00 •DNS Troubleshooting: 00:13:00 •Making TCP/IP Secure: 00:04:00 •Symmetric Encryption: 00:06:00 •Asymmetric Encryption: 00:03:00 •Cryptographic Hashes: 00:05:00 •Identification: 00:00:00 •Access Control: 00:04:00 •AAA: 00:05:00 •Kerberos/EAP: 00:00:00 •Single Sign-On: 00:10:00 •Certificates and Trust: 00:14:00 •Certificate Error Scenarios: 00:08:00 •Understanding IP Tunneling: 00:06:00 •Virtual Private Networks: 00:13:00 •Introduction to VLANs: 00:12:00 •InterVLAN Routing: 00:03:00 •Interfacing with Managed Switches: 00:11:00 •Switch Port Protection: 00:07:00 •Port Bonding: 00:07:00 •Port Mirroring: 00:04:00 •Quality of Service: 00:05:00 •IDS vs. IPS: 00:04:00 •Proxy Servers: 00:13:00 •Load Balancing: 00:09:00 •Device Placement Scenarios: 00:13:00 •Introduction to IPv6: 00:13:00 •IPv6 Addressing: 00:15:00 •IPv6 in Action: 00:13:00 •IPv4 and IPv6 Tunneling: 00:05:00 •Telephony Technologies: 00:09:00 •Optical Carriers: 00:03:00 •Packet Switching: 00:05:00 •Connecting with Dial-up: 00:05:00 •Digital Subscriber Line (DSL): 00:05:00 •Connecting with Cable Modems: 00:04:00 •Connecting with Satellites: 00:03:00 •ISDN and BPL: 00:04:00 •Remote Desktop Connectivity: 00:05:00 •Advanced Remote Control Systems: 00:09:00 •Introduction to 802.11: 00:12:00 •802.11 Standards: 00:12:00 •Power over Ethernet (PoE): 00:04:00 •Antennas: 00:09:00 •Wireless Security Standards: 00:16:00 •Implementing Wireless Security: 00:07:00 •Threats to Your Wireless Network: 00:07:00 •Retro Threats: 00:05:00 •Wi-Fi Protected Setup (WPS): 00:05:00 •Enterprise Wireless: 00:06:00 •Installing a Wireless Network: 00:15:00 •Wireless Scenarios: 00:07:00 •More Wireless Scenarios: 00:09:00 •Virtualization Basics: 00:07:00 •Cloud Ownership: 00:03:00 •Cloud Implementation: 00:12:00 •Your First Virtual Machine: 00:09:00 •NAS and SAN: 00:16:00 •Platform as a Service (PaaS): 00:09:00 •Software as a Service (SaaS): 00:03:00 •Infrastructure as a Service (IaaS): 00:10:00 •Cellular Technologies: 00:05:00 •Mobile Connectivity: 00:07:00 •Deploying Mobile Devices: 00:05:00 •Mobile Access Control: 00:06:00 •Network Types: 00:04:00 •Network Design: 00:10:00 •Power Management: 00:06:00 •Unified Communications: 00:11:00 •Network Documentation: 00:07:00 •Contingency Planning: 00:10:00 •Predicting Hardware Failure: 00:05:00 •Backups: 00:08:00 •What is Risk Management?: 00:06:00 •Security Policies: 00:08:00 •Change Management: 00:07:00 •User Training: 00:03:00 •Standard Business Documentation: 00:05:00 •Mitigating Network Threats: 00:05:00 •High Availability: 00:05:00 •Denial of Service: 00:09:00 •Malware: 00:10:00 •Social Engineering: 00:04:00 •Access Control: 00:08:00 •Man-in-the-Middle: 00:22:00 •Introduction to Firewalls: 00:05:00 •Firewalls: 00:10:00 •DMZ: 00:06:00 •Hardening Devices: 00:14:00 •Physical Security Controls: 00:09:00 •Testing Network Security: 00:08:00 •Network Protection Scenarios: 00:14:00 •SNMP: 00:15:00 •Documenting Logs: 00:09:00 •System Monitoring: 00:08:00 •SIEM (Security Information and Event Management): 00:07:00 •Network Troubleshooting Theory: 00:05:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Scope of The Course 00:02:00 What is Metal Forming 00:05:00 Re-crystallization 00:07:00 Hot VS Cold Working of Metals 00:02:00 Flow Stress 00:08:00 Rolling Process Terminology 00:06:00 Rolling Mechanism - Avoiding Unbalanced Forces 00:08:00 Rolling Mechanism - Angle of Bite & Deformation Length 00:08:00 Slip 00:04:00 Maximum Reduction 00:03:00 Force and Power in Rolling Processes 00:02:00 Reducing Power & Force 00:04:00 Types of Rolling Mills 00:06:00 The ROLL PASS Design 00:06:00 Rolling Defects 00:03:00 How to Create a Production Report for a Rolling Mill 00:17:00 Extrusion & Drawing Understanding Extrusion 00:02:00 Types of Extrusion Process 00:05:00 Important Formulae 00:03:00 Advantages & Drawbacks of Extrusion 00:02:00 Wire Drawing 00:04:00 Force and Power in Drawing 00:04:00 Tube Drawing 00:03:00 Forging Process Why Forged Parts are The Best 00:03:00 Types of Forging 00:03:00 Forgeability 00:02:00 Forging Analysis 00:02:00 Forging Operations 00:02:00 Forging Defects 00:03:00 Sheet Metal Operations Advantages of Sheet Metal 00:03:00 Punching and Blanking 00:04:00 Sheet Metal Operations 00:03:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Why Study Operations Research 00:03:00 Scope of The Course 00:02:00 LPP - Linear Programming Problems What Are Optimization Problems 00:02:00 Mathematical formulation of LPP 00:07:00 Steps for Solving An LPP 00:02:00 LPP Formulation 00:05:00 How To Draw Graphs 00:02:00 Numerical Based On Graphical Method 00:08:00 Shortcut Slope Method 00:03:00 Binding Constraints & Special Cases 00:05:00 LPP Analytical (Simplex) Method 00:06:00 Numerical Based On Simplex Method 00:09:00 Transportation Problems What Are Transporation Problems. 00:04:00 Allocation 00:04:00 North-West Corner Rule Or DENTZY's Methods 00:04:00 Vogel's Approximation Method (VAM) 00:04:00 Numerical On Transportation Problems 00:04:00 Assignment Problems Understanding Assignment Problems 00:02:00 Hungarian Method or Flood Technique 00:04:00 Numerical On Assignment Problem 00:03:00 Solving Maximization Transportation & Assignment Problems 00:01:00 Sequencing The Appropriate Order 00:04:00 SPT - Shortest Processing Time 00:04:00 EDD - Earliest Due Date 00:03:00 N Jobs In 2 Machines 00:04:00 Numerical On N Jobs In 2 Machines 00:04:00 Queuing Theory Mathematical Study Of Queues 00:04:00 Why is Queuing Theory Important 00:02:00 Kendall Notation 00:04:00 Important Formulae 00:03:00 Numerical On Queuing Theory 00:02:00 PERT & CPM - Network Analysis Project,Activity & Event 00:02:00 Rules For Network Diagram 00:01:00 Types Of Network Diagram 00:01:00 How To Make a Network Diagram 00:02:00 Network Analysis 00:01:00 CPM - Critical Path Method 00:02:00 Computational Approach Of CPM 00:06:00 PERT - Program Evaluation Review Technique 00:03:00 Numerical On PERT Analysis 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00