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Description: If you are working in company related to wireless technology, the course is the best solution for you. The course illustrates the fundamentals and essentials functions of wireless network technology and helps you to embrace the system efficiently. The course is sectioned into two parts - one is network administration, and another one is about network security. Both the sections help you to achieve a strong command over the technology. The basic concept of Radio Frequency (RF), WLAN security system, Legal system, Encryption Cipers and methods will be discussed in the Wireless Security Professional section. On the other hand, you gain a crystal clear knowledge about Wi-Fi access, MAC, WLAN, troubleshooting in the Network Administration part. The purpose of the bundled course is to help you to accustom with the troubleshooting process and network configuration process of Wireless technology. The course helps you to handle WLAN network securely. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Certified Wireless Network Administrator (CWNA) - Complete Video Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Certified Wireless Network Administrator (CWNA) - Complete Video Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Overview of Wireless Communications Overview of Wireless Communications FREE 00:23:00 Communication Fundamentals 00:15:00 Fundamentals of RF Fundamentals of RF 00:07:00 Characteristics of RF 00:17:00 RF Behaviors 00:17:00 Components and Measurements of RF Components and Measurements of RF 00:19:00 dB Mathematics 00:18:00 Math Examples (eNotes) 00:20:00 Noise Floor 00:07:00 RF Signal and Antenna Concepts RF Signal and Antenna Concepts 00:13:00 Antenna Types 00:15:00 Beamforming 00:09:00 IEEE 802.11 IEEE 802.11 00:15:00 802.11i 00:10:00 Spread Spectrum Technologies Course Overview Direct Sequence Spread Spectrum (Part 1) 00:22:00 Direct Sequence Spread Spectrum (Part 2) 00:21:00 WLAN Topologies WLAN Topologies 00:10:00 Distribution Service 00:08:00 Mesh BSS 00:15:00 Wi-Fi Access Wi-Fi Access 00:14:00 Interframe Space (IFS) 00:13:00 MAC Architecture MAC Architecture 00:18:00 Beacon Frames 00:11:00 WLAN Architecture WLAN Architecture 00:17:00 WLAN Controller 00:11:00 WLAN Deployment WLAN Deployment 00:10:00 Network Extension to Remote Areas 00:13:00 Troubleshooting Troubleshooting 00:18:00 802.11 Coverage Considerations 00:17:00 Capacity vs. Coverage 00:19:00 Security Security 00:22:00 Robust Security 00:24:00 Types of Wireless Attacks Types of Wireless Attacks 00:30:00 Intrusion Monitoring 00:08:00 Fundamentals of Site Surveys Fundamentals of Site Surveys 00:16:00 Site Survey Tools Site Survey Tools 00:05:00 Site Survey 00:15:00 PoE PoE 00:09:00 Midspan 00:08:00 High Throughput (HT) High Throughput (HT) 00:11:00 Spatial Multiplexing (SM) 00:12:00 Very High Throughput (HT) Very High Throughput (VHT) 00:18:00 BYOD BYOD 00:19:00 Over the Air Management 00:10:00 WLAN Security Overview WLAN Security Overview and Data Privacy 00:58:00 Networking Basics 00:04:00 Web GUI Introduction 00:05:00 Security Options 00:03:00 Legacy Security Legacy Security 00:32:00 VPNs 00:21:00 Security Association 00:09:00 MAC Spoofing 00:07:00 Encryption Ciphers and Methods Encryption Ciphers and Methods 00:19:00 TKIP 00:26:00 CCMP 00:20:00 Encryption Examples 00:06:00 802.11 Authentication Methods 802.11 Authentication Methods 00:26:00 802.1X 00:20:00 EAP 00:25:00 Certified Authority Server Credentials 00:06:00 Dynamic Encryption Key Generation Dynamic Encryption Key Generation 00:21:00 Authentication and Key Management 00:13:00 RSNA Key Hierarchy 00:12:00 EAP 00:05:00 Information Elements 00:06:00 SOHO 802.11 Security SOHO 802.11 Security 00:26:00 Cracking Hashes 00:09:00 Cracking Hashes 00:09:00 Fast Secure Roaming Fast Secure Roaming 00:24:00 PMKSA 00:29:00 FT Key Hierarchy (e-notes) 00:30:00 802.11K-2008 00:28:00 Wireless Security Risks Wireless Security Risks 00:22:00 Authentication Attacks 00:20:00 Rogue Devices 00:04:00 Public Hotspots 00:06:00 Wireless LAN Security Auditing Wireless LAN Security Auditing 00:28:00 Wireless Security Monitoring Wireless Security Monitoring 00:21:00 Device Tracking 00:17:00 VPNs, Remote Access and Guest Access Services VPNs, Remote Access and Guest Access Services 00:23:00 Remote Access 00:14:00 WLAN Security Infrastructure WLAN Security Infrastructure 00:37:00 Management Protocols 00:23:00 Other RADIUS Solutions 00:15:00 Wireless Security Policies Wireless Security Policies 00:17:00 Other Policies 00:14:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Description: Microsoft PowerPoint is one of the most abundantly used presentation program. The 2016 version has some revolutionary features that has made this program effortless to work with. Microsoft PowerPoint 2016 Beginner to Advanced will teach you all the aspects for making the best presentation. In this course, you will learn about the interface of the PowerPoint. After that, you will get accustomed on developing a PowerPoint Presentation, Performing advanced text editing, adding graphical elements to your presentation, modify objects, adding tables and charts and preparing to deliver your presentation. Advanced topics include customizing design templates and slide shows, working with media and animations, collaborating, securing and distributing a presentation. These skills will help you get most of the software. Learning Outcomes: Utilize the PowerPoint user interface, creating and saving presentations, and using help Making presentations through presentation options like selecting types, building it, layouts, text editing, viewing and navigation Discover methods for formatting characters, paragraphs, and text boxes Adding images, screenshots, screen recordings, shapes and WordArt Modifying options for objects and animation features Creating and formatting a table and integrating data from other Microsoft Office applications Create format and manipulate a chart PowerPoint environment and how to modify it according to needs Customizing user interface and setting up options Create and manage sections, modify slide masters and slide layouts, add headers and footers, modify notes master and handout master Creating and modifying SmartArt Adding audio video to presentations and customizing animations and transitions to enhance presentation Better collaboration by adding comments, reviews, storing and sharing presentations on the web Setting up and creating custom slide shows, adding hyperlink and action buttons, and recording a presentation Security and distribution of presentations through various outlets Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft PowerPoint 2016 Beginner to Advanced is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft PowerPoint 2016 Beginner to Advanced is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. PowerPoint Beginner Navigate the PowerPoint Environment 00:30:00 ACTIVITY - NAVIGATING THE POWERPOINT 2016 USER INTERFACE 00:05:00 Create and Save a PowerPoint Presentation 00:15:00 ACTIVITY - CREATING AND SAVING A POWERPOINT PRESENTATION 00:05:00 Use Help 00:15:00 ACTIVITY - USING POWERPOINT HELP 00:05:00 Select a Presentation Type 00:15:00 ACTIVITY - SELECTING A PRESENTATION TYPE 00:05:00 Build a Presentation 00:15:00 ACTIVITY - BUILDING A PRESENTATION 00:05:00 Lay Out a Presentation 00:15:00 ACTIVITY - LAYING OUT A PRESENTATION 00:05:00 Edit Text 00:15:00 ACTIVITY - EDITING TEXT 00:05:00 View and Navigate a Presentation 00:15:00 ACTIVITY - VIEWING A PRESENTATION 00:05:00 Format Characters 00:15:00 ACTIVITY - FORMATTING CHARACTERS 00:05:00 Format Paragraphs 00:30:00 ACTIVITY - FORMATTING PARAGRAPHS 00:05:00 Format Text Boxes 00:15:00 ACTIVITY - FORMATTING TEXT BOXES 00:05:00 Insert Images 00:30:00 ACTIVITY - INSERTING IMAGES 00:05:00 Insert Shapes 00:15:00 ACTIVITY - INSERTING SHAPES 00:05:00 Insert WordArt 00:15:00 ACTIVITY - INSERT WORDART 00:05:00 Edit Objects 00:30:00 ACTIVITY - EDITING OBJECTS 00:05:00 Format Objects 00:15:00 ACTIVITY - FORMATTING OBJECTS 00:05:00 Group Objects 00:15:00 ACTIVITY - GROUPING OBJECTS 00:05:00 Arrange Objects 00:15:00 ACTIVITY - ARRANGING OBJECTS 00:05:00 Animate Objects 00:15:00 ACTIVITY - ANIMATING OBJECTS 00:05:00 Create a Table 00:15:00 ACTIVITY - CREATING A TABLE 00:05:00 Format a Table 00:15:00 ACTIVITY - FORMATTING A TABLE 00:05:00 Insert a Table from Other Microsoft Office Applications 00:15:00 ACTIVITY - INSERTING A TABLE FROM MICROSOFT EXCEL 00:05:00 Create a Chart 00:15:00 ACTIVITY - CREATING A CHART 00:05:00 Format a Chart 00:15:00 ACTIVITY - FORMATTING A CHART 00:05:00 Manipulate a Chart 00:15:00 ACTIVITY - MANIPULATING A CHART 00:05:00 Insert a Chart from Microsoft Excel 00:15:00 ACTIVITY - INSERTING A CHART FROM MICROSOFT EXCEL 00:05:00 Review Your Presentation 00:30:00 ACTIVITY - REVIEWING YOUR PRESENTATION 00:05:00 Apply Transitions 00:15:00 ACTIVITY - APPLYING TRANSITIONS 00:05:00 Print Your Presentation 00:15:00 ACTIVITY - PRINTING YOUR PRESENTATION 00:05:00 Deliver Your Presentation 01:00:00 ACTIVITY - DELIVERING YOUR PRESENTATION 00:05:00 PowerPoint Intermediate Customize the User Interface 01:30:00 Set PowerPoint 2016 Options 00:45:00 Create and Manage Sections 01:00:00 Modify Slide Masters and Slide Layouts 01:15:00 Add Headers and Footers 00:30:00 Modify the Notes Master and the Handout Master 00:45:00 Create SmartArt 00:45:00 Modify SmartArt 01:00:00 Add Audio to a Presentation 00:45:00 Add Video to a Presentation 01:00:00 Customize Animations and Transitions 01:00:00 Add Comments to a Presentation 00:45:00 Store and Share Presentations on the Web 01:30:00 Annotate a Presentation 00:45:00 Set Up a Slide Show 00:45:00 Create a Custom Slide Show 00:30:00 Add Hyperlinks and Action Buttons 00:45:00 Record a Presentation 00:15:00 Secure a Presentation 01:30:00 Present a Slide Show Online 01:00:00 Create a Video or a CD 00:45:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description: Journalism is the production and distribution of reports. Reports can be about events, facts, ideas, and people. Since journalism has been with us all these years, it has been considered as a form of communication and information dissemination media. If you are someone who is interested in journalism, then you have to learn the basics of journalism. In this course, you will learn about newspaper journalism and how women have contributed to the journalism industry. Who is the course for? Professionals, businessmen, and entrepreneurs who are in the journalism sector People who have an interest in writing and journalism. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Journalism Bundle Course is a useful qualification to possess, and would be beneficial for the following careers: Blogger Broadcaster Entrepreneur Freelancer Journalist News Writer Online Writer Social Content Creator. Curriculum: Journalism - New Version Module 01: Introduction and Principles of Journalism Introduction and Principles of Journalism 00:18:00 Module 02: History and Development of Journalism History and Development of Journalism 00:20:00 Module 03: Interviewing Interviewing 00:35:00 Module 04: Newspaper Journalism Newspaper Journalism 00:30:00 Module 05: News Writing, Production and Reporting News Writing, Production and Reporting 00:20:00 Module 06: Television Journalism Television Journalism 00:32:00 Module 07: Radio Journalism Radio Journalism 00:37:00 Module 08: Media Regulatory Bodies Media Regulatory Bodies 00:31:00 Module 09: Writing Skills for Journalists Writing Skills for Journalists 00:41:00 Module 10: Journalism law Journalism law 00:35:00 Module 11: Defamation Defamation 00:20:00 Module 12: Journalism Ethics Journalism Ethics 00:17:00 Module 13: Health and Safety for Journalists Health and Safety for Journalists 00:38:00 Module 14: Niche Journalism Niche Journalism 00:24:00 Module 15: Tips on Writing a Good Feature Story Tips on Writing a Good Feature Story 00:32:00 Module 16: Online and Freelance Journalism Online and Freelance Journalism 00:16:00 Module 17: Becoming a Journalist Becoming a Journalist 00:29:00 Journalism - Old Version Journalism Basics What Is A Journalist? 01:00:00 What Type Of Degree Do I Need? 00:30:00 How To Get Started Writing Before Graduation 01:00:00 The Rules Of Journalism 01:00:00 Building A Portfolio 00:30:00 What Is Style? 01:00:00 What Does A Copy Editor Do? 01:00:00 Additional Degrees To Consider 01:00:00 Online Journalism - The Way Of The Future 01:00:00 What To Expect On Your First Job 00:30:00 Newspaper Journalism What is news? 01:00:00 What is a journalist? 01:00:00 The shape of the news story 00:15:00 Writing the intro in simple steps 01:00:00 Writing the intro, the golden rules 00:30:00 Writing the news story in simple steps 01:00:00 Writing the news story - clear writing 00:30:00 Quotes 01:00:00 Attribution 00:30:00 Newspaper Reporting What Is A Newspaper Reporter? 01:00:00 What Education Do I Need? 00:30:00 How To Start Newspaper Writing 01:00:00 The Rules Of Newspaper Reporting 02:00:00 Compiling Clippings 01:00:00 Learning About Style 01:00:00 What Is A Copy Editor? 01:00:00 Additional Fields Of Study 01:00:00 Online Reporting - What You Need To Know 01:00:00 Your Path To Success As A Newspaper Reporter 01:00:00 TV Journalism News Gathering 00:30:00 Enterprising Stories 00:30:00 Watch your interviewee's body language. 00:15:00 Working with Sources 00:15:00 Covering Events 01:00:00 Computer-Assisted Reporting 00:30:00 Glossary of Broadcast News Teams 00:15:00 Law, Ethics And Responsibility 00:15:00 Operating Standards for News and Public Affairs 00:15:00 Lighting 00:15:00 Media What is the Media? 00:15:00 What Makes News? 00:30:00 Plan your Approach 01:00:00 Adhere to Deadlines 00:30:00 The Interview 00:15:00 Social Media and Journalism Definition of Social Media 00:15:00 Communication flow within journalism 00:15:00 The impact of social media on journalism 00:30:00 Women in Journalism The Secret Significance of Journalism 01:00:00 Imperfections of the Existing Woman−Journalist 01:00:00 The Roads towards Journalism 01:00:00 The Aspirant 01:00:00 Style 01:00:00 The Outside Contributor 01:00:00 The Search for Copy 01:00:00 The Art of Corresponding with an Editor 00:30:00 Notes on the Leading Types of Papers 00:30:00 Woman's Sphere in Journalism 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam- Journalism Bundle Course 00:30:00 Final Exam Final Exam- Journalism Bundle Course 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

In today's fast-paced and competitive world, staying ahead requires constant growth and upskilling. Welcome to Electrical Machines for Electrical Engineering, an empowering journey designed to equip you with the essential knowledge and skills in Electrical Machines for Electrical Engineering to thrive in your professional endeavours. This comprehensive Electrical Machines for Electrical Engineeringcourse combines theoretical concepts with essential applications, providing you with a well-rounded understanding of the topic. Whether you're a seasoned professional seeking to enhance your expertise or a newcomer eager to embark on a new career path, this courseoffers the tools and insights necessary to unlock your true potential. This Electrical Machines for Electrical Engineering course holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education, but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Enrol in Electrical Machines for Electrical Engineering today and embark on a transformative journey that will set you up for success in the dynamic and evolving world of Electrical Machines for Electrical Engineering. Unleash your potential and take the first step towards a rewarding and fulfilling career! Learning Outcomes By the end of this Electrical Machines for Electrical Engineering course, you will: Gain a deep understanding of the fundamental principles and theories in Electrical Machines for Electrical Engineering. Acquire the ability to analyse and solve complex problems related to the topic critically. Enhance your communication and teamwork skills, which are essential for collaborating effectively in professional settings. Apply the learned concepts in Electrical Machines for Electrical Engineeringto drive innovation and make strategic decisions within your field. Curriculum of Electrical Machines for Electrical Engineering: Unit 1: Introduction to Electric Machines Module 1- Introduction to Electric Machines Module 2- Types of Electric Machines and Principle of Electrical Generation Unit 2: DC Machines Module 1- Importance and Construction of DC Machines Module 2- Armature Winding and EMF Equation Module 3-Solved Example 1 Module 4-Solved Example 2 Module 5-Solved Example 3 Module 6-Solved Example 4 Module 7-Separately Excited DC Machine Module 8-Shunt and Series DC Machines Module 9-Solved Example 1 on Separately Excited DC Machine Module 10-Solved Example 2 on Separately Excited DC Machine Module 11-Solved Example 3 on Shunt Generator Module 12-Solved Example 4 on Shunt Generator Module 13-Solved Example 5 on Series DC Generator Module 14-Types and Applications of Compound DC Motors Module 15- Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor Module 16- Torque-Speed Characteristics of Series DC Motor Module 17-Solved Example 1 on Speed Control Module 18-Solved Example 2 on Speed Control Module 19- Starting of DC Machine Module 20- Armature Reaction in DC Machines Module 21-Losses in DC Machines Unit 3: Construction of Transformers Module 1- What is a Transformer Module 2- Importance of Transformer Module 3-Iron Core of Transformer Module 4- Magnetic Circuit Inside Transformer Module 5- Windings of Transformer Module 6- Why are Windings Made of Copper Module 7- Classification of Windings Module 8- Insulating Material and Transformer Oil Module 9- Conservator of Transformer Module 10- Breather of Transformer Module 11- Bushings of Transformer Module 12- Tap Changer of Transformer Module 13- Cooling Tubes of Transformer Module 14- Buchholz Relay of Transformer Module 15- Explosion Vent Module 16- Methods of Cooling Module 17-Types of Transformers Module 18- Power Transformer and Distribution Transformer Module 19- Single Phase Core Type Transformer Module 20-Single Phase Shell Type Transformer Module 21- 3 Phase Core Type Module 22- 3 Phase Shell Type Module 23- Comparison between Shell and Core CSA Module 24- Comparison between Shell and Core Type Module 25- Notes Module 26-Video Explaining The Components in 3D and Real Life Unit 4: Fundamentals of Magnetic Circuits Module 1- Introduction to Magnetic Circuits Module 2- Induced Emf and Current Module 3- Ampere Right Hand Rule Module 4- Magnetic Circuit and Important Definitions Module 5- Linear and Non Linear Materials Module 6-Flux Linkage and Reluctance Module 7- Analogy between Electric and Magnetic Circuits Module 8- Fringing Effect Module 9- Example 1 Magnetic Circuits Module 10- Example 2 Module 11- Example 3 Module 12- Application on Magnetic Circuit - Transformers Unit 5: Theoretical Part on Transformers Module 1- Introduction to Transformers Module 2- Construction of Transformer Module 3-Theory of Operation Module 4- Ideal Transformer Module 5-Non Ideal Transformer Module 6- Effect of Loading on Transformer Module 7- Transformer Regulation Module 8- Transformer Losses Module 9- Transformer Efficiency Module 10- Transformer Rating Module 11- Question 1 Module 12- Question 2 Module 13- Question 3 Module 14- Example 1 Module 15- Voltage Relation of Transformer Module 16- Transformer Exact Equivalent Circuit Module 17- Concept of Refereeing Module 18- Approximate Equivalent Circuit Unit 6: Synchronous Machines Module 1- Construction and Principle of Operation of Synchronous Generator Module 2- Principle of Operation of Synchronous Motor Module 3- Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine Module 4-Solved Example 1 on Non Salient Machine Module 5-Solved Example 2 on Non Salient Machine Module 6-Solved Example 3 on Non Salient Machine Module 7- Solved Example 4 on Non Salient Machine Module 8-Solved Example 5 on Non Salient Machine Module 9-Solved Example 6 on Non Salient Machine Module 10- Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine Module 11-Solved Example 1 on Salient Machine Module 12- Solved Example 2 on Salient Machine Module 13-Solved Example 3 on Salient Machine Module 14- Parallel Operation of Two Generators Module 15- Synchronization of Machine with Grid Unit 7: Induction Machines Module 1- Construction and Theory of Operation of Induction Machines Module 2- Equivalent Circuit and Power Flow in Induction Motor Module 3- Torque-Speed Characteristics of Induction Motor Module 4- Solved Example 1 on Induction Motor Module 5-Solved Example 2 on Induction Motor Module 6-Solved Example 3 on Induction Motor Module 7-Solved Example 4 on Induction Motor Module 8-Solved Example 5 on Induction Motor Module 9- Methods of Speed Control of Induction Motor Module 10- Methods of Starting of Induction Motor Module 11-Solved Example on Motor Starter Module 12- Principle of Operation of Doubly Fed Induction Generator Module 13-Self Excited Induction Generator This Electrical Machines for Electrical Engineering course holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their knowledge and skills in Electrical Machines for Electrical Engineering. Recent graduates seeking to enter the job market with a competitive edge. Individuals considering a career change into Electrical Machines for Electrical Engineering. Entrepreneurs aiming to gain insights into Electrical Machines for Electrical Engineering to boost their business strategies. Anyone interested in broadening their understanding of Electrical Machines for Electrical Engineering for personal or professional growth. Requirements No prior knowledge or experience is required to enrol in this Electrical Machines for Electrical Engineering course. Career path Completing Electrical Machines for Electrical Engineering can give you the initial boost to a world of exciting career opportunities.

Overview This Marketing Principles course will unlock your full potential and will show you how to excel in a career in Marketing Principles. So upskill now and reach your full potential. Everything you need to get started in Marketing Principles is available in this course. Learning and progressing are the hallmarks of personal development. This Marketing Principles will quickly teach you the must-have skills needed to start in the relevant industry. In This Marketing Principles Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Marketing Principles skills to help you advance your career. Acquire a comprehensive understanding of various Marketing Principles topics and tips from industry experts. Learn in-demand Marketing Principles skills that are in high demand among UK employers, which will help you to kickstart your career. This Marketing Principles course covers everything you must know to stand against the tough competition in the Marketing Principles field.  The future is truly yours to seize with this Marketing Principles. Enrol today and complete the course to achieve a Marketing Principles certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Marketing Principles course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Marketing Principles course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Marketing Principles course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Marketing Principles is suitable for anyone aspiring to start a career in Marketing Principles; even if you are new to this and have no prior knowledge on Marketing Principles, this course is going to be very easy for you to understand.  And if you are already working in the Marketing Principles field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Marketing Principles course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Marketing Principles course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Marketing Principles course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Marketing Principles course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Section 01: Marketing and the Firm Marketing and the Firm 00:01:00 Marketing Orientation and Context 00:01:00 Creating Value and Competitive Advantage #1 00:01:00 Creating Value and Competitive Advantage #2 00:01:00 Marketing Definition 00:01:00 Marketing Exchange 00:01:00 Marketing Interactions #1 00:01:00 Marketing Interactions #2 00:02:00 BCG's Advantage Matrix Model 00:01:00 Section 02: Situational Marketing Analysis External Environment - Analysis #1 00:01:00 External Environment - Analysis #2 00:01:00 External Environment - Analysis #3 00:01:00 External Forces Facing Marketing 00:01:00 Demographic Shift 00:01:00 Demographic Changes 00:02:00 Stakeholder Mapping #1 00:01:00 Stakeholder Mapping #2 00:01:00 Section 03: Microenvironments - Industry and Market Microenvironments - Industry and Market 00:01:00 Difference between an Industry and a Sector 00:02:00 Common Mistakes #1 00:02:00 Common Mistakes #2 00:01:00 Market Analysis #1 00:01:00 Market Analysis #2 00:01:00 Internal Firm Analysis and Environment Analysis 00:02:00 Enterprise Value Chain Analysis #1 00:01:00 Enterprise Value Chain Analysis #2 00:01:00 Enterprise Value Chain Analysis #3 00:01:00 Porter's Value Chain 00:01:00 Elements in Porter's Value Chain #1 00:01:00 Elements in Porter's Value Chain #2 00:01:00 SWOT - Gap Analysis 00:02:00 TOWS and Building Conversion Strategies 00:01:00 Section 04: Formulating a Marketing Plan - Building Components Formulating a Marketing Plan - Building Components #1 00:01:00 Formulating a Marketing Plan - Building Components #2 00:02:00 Formulating a Marketing Plan - Building Components #3 00:01:00 Product Life Cycle and Building a Product Strategy 00:01:00 Segmentation and Targeting- Geography, Consumer Behaviour and Cultures 00:01:00 Positioning Your Market Offering 00:01:00 Pricing Your Product for the Market 00:01:00 Channels and Distribution 00:01:00 Promotion and Brand Advertising 00:01:00 Business Development and Customer Relationship Marketing (CRM) 00:01:00 Hard-selling 00:01:00 Sales Funnel 00:01:00 Stages in the Sales Funnel 00:02:00 Section 05: Executing the Marketing Plan Action Planning, Roles and Responsibilities 00:01:00 Metrics and Measures 00:02:00 Marketing and Information Technology 00:01:00 Marketing Information (MIS) Systems: Sorting Data and Reporting 00:02:00 Marketing and Information Technology 00:01:00 The Marketing Profession and Building the Marketing Team 00:01:00

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 Course Overview Course Overview Video 00:05:00 Building Your Virtual Lab Environment Downloading ISO and OVA Fles for VirtualBox 00:08:00 Create Virtual Install of Server 2016 Full GUI Using VirtualBox 00:12:00 Video and Lab - Creating a Virtual Install of Server 2016 Core Using VirtualBox 00:11:00 Video and Lab - Creating a Virtual Install Of Windows 10 Pro Using Virtualbox 00:16:00 Take a Snapshot of Your Current Configuration 00:04:00 Building a Microsoft Server 2016 Domain Preparing Your Network for Active Directory 00:09:00 Prepare Server 2016 for Promotion to a Domain Controller 00:09:00 Video and Lab - Promote Server 2016 to a Domain Controller 00:09:00 Join Server 2016 Core to Windows 2016 Domain 00:08:00 Promote Server Core to a Domain Controller 00:14:00 Add a Windows 10 Workstation to a Microsoft Domain 00:15:00 Create a Server 2016 Replica Domain Controller 00:13:00 Domain Naming System (DNS) Installing the DNS Role Using Server Manager 00:05:00 Create a Secondary or Backup DNS Server 00:07:00 Create a Secondary or Backup DNS Server Using Server Core 00:08:00 Create a DNS Reverse lookup Zone in Server 2016 00:02:00 Create a New DNS Host Record 00:01:00 Create a New MX record in DNS 00:04:00 Dynamic Host Configuration Protocol (DHCP) Install and Configure DHCP Using PowerShell 00:08:00 Authorize a Windows 2016 DHCP Server 00:03:00 Server and Scope Options in Windows Server 2016 00:03:00 How to Edit the Default Gateway Settings in DHCP 00:02:00 How to Edit DNS Server List in DHCP 00:03:00 Use Filters in DHCP to Deny Clients DHCP Services 00:02:00 Use DHCP User Classes to assign alternate scope options 00:05:00 Edit a DHCP Scope 00:02:00 How to Backup and Restore the DHCP Database 00:03:00 Create Predefined Options in DHCP 00:06:00 Speed Learning Active Directory Administration Create a User in Active Directory 00:01:00 Create an Administrator User in Server 2016 00:04:00 Create a Distribution Group in Active Directory 00:02:00 Create and Use a Security Group 00:03:00 Create an Organizational Unit 00:02:00 Unlock a User account 00:01:00 Move an Object to a New Organizational Unit in Active Directory 00:02:00 Change the Domain Administrator Password 00:01:00 Fix Access Denied When deleting Active Directory objects 00:01:00 Speed Learning Group Policy Prevent Automatic Logoff Due to Inactivity 00:03:00 Create and Link a Group Policy Object to an OU 00:04:00 Edit Group Policy Objects to Affect a User 00:03:00 Edit a Group Policy Object to Affect a Computer 00:03:00 Backup and Restore Group Policy Objects 00:03:00 Force Screensaver and Timeouts Using Group Policy 00:06:00 Change Users Desktop Background Using Group Policy 00:09:00 Speed Learning Server 2016 Administration Overview of the New Start Menu for Server 2016 00:02:00 Working with Task View in Server 2016 00:02:00 Enable Remote Desktop Using PowerShell 00:10:00 Rearm the 180-day Evaluation Period for Wndows Server 00:02:00 Rearm the 30-day Evaluation Period for Windows 10 00:03:00 Create a Heads-up Display Using BgInfo 00:08:00 Change the Date, Time and Numbers Format in Server 2016. 00:02:00 Rename Windows Server 2016 Using PowerShell 00:02:00 Manage Files and Shares Setup Work Folders in a Windows Domain 00:15:00 Configure a Distributed File System Using Windows Server 00:16:00 Create a Shared Folder on a Windows Server 00:04:00 Create a Shared Folder Using Server Manager 00:06:00 Speed Learning Managing Printers Add a Network Printer in Windows Server 2016 00:04:00 Install and Use the Print Management role in Windows Server 2016 00:04:00 Deploy Printers Using Group Policy in Windows Server 2016 00:03:00 Speed Learning Server 2016 Firewall Turn the Firewall on or off in Windows 2016 Server 00:01:00 Allow an Inbound Port Through a Windows Firewall 00:02:00 Enable PING for Server 2016 and Windows 10 00:04:00 Using Netsh to Manage the Windows Firewall 00:04:00 Using Powershell to Gather Firewall Information 00:04:00 Disk Management Adding Additional Hard Disks Using VirtualBox 00:06:00 Shrink or Extend a Volume in Windows Server 00:04:00 Format a Volume with ReFS in Windows Server 00:03:00 Format a Volume With FAT32 in Windows Server 00:02:00 Troubleshooting NSLookup 00:05:00 Troubleshooting Internet Connectivity 00:16:00 Overview of Windows Sysinternal Tools 00:08:00 Overview of Sysinternal's Process Explorer 00:17:00 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

NPORS Dumper Training The aim of the NPORS Dumper Training is to Provide both theoretical and practical Dumper truck training to ensure the safe usage of the Forward Tipping Dumpers, including the safe and efficient operation of tracked or wheeled dumpers. As a result of the training you will receive the NPORS red trained operator card or the Traditional NPORS Dumper Operator Card acceptable in all industries. Onsite Training Available: We provide on-site training across the UK to minimise disruption to your workday, ensuring a seamless learning experience. Dumper Tickets and NPORS Dumper Training or Testing can be carried out at your site Nationwide or at our test centre in Gloucestershire. NPORS Dumper Ticket For Experienced Workers Book with Confidence at Vally Plant Training At Vally Plant Training, we guarantee unbeatable value with our Dumper Experienced Test Price Match Promise. When you choose us, you can book with confidence, knowing that we will not be beaten on price. If you find a lower price for the same NPORS Dumper Experienced Worker Test, we’ll match it—ensuring you receive top-quality training at the best possible rate. Click for our terms and conditions Your skills, our commitment—always at the best price. NPORS Forward Tipping Dumper Test is for operators who have received some form of training in the past and hold or have held a dumper ticket, or alternatively have been operating Dumper trucks for a number of years. If you are unsure if you qualify to go down the experienced test route please contact Vally Plant Training to discuss this in more detail. Discounts are available for multiple bookings Turn your Dumper ticket from red card to blue with our hassle free Dumper NVQ, Comprehensive Dumper Training Course: Building Skills for Safe Operation Dumper trucks play a crucial role in construction and industrial settings, transporting materials efficiently across work sites. However, operating these vehicles requires specialised knowledge, skills, and safety awareness to ensure smooth operations and prevent accidents. In this detailed course outline, we will explore the comprehensive content covered in a dumper training course, designed to equip participants with the expertise needed to operate dumpers safely and effectively. 1. Introduction to Dumpers: Overview of dumper types and variations, Wheeled Or Tracked Dumpers all Health and safety regulations covered Understanding the purpose and function of dumpers in construction Different configurations and capacities of dumpers 2. Dumper Safety Procedures: Importance of safety in dumper operation Pre-operational checks and inspections Understanding and interpreting warning signs and labels Personal protective equipment (PPE) requirements Emergency procedures and protocols 3. Dumper Operation Basics: Starting and stopping procedures Familiarisation with controls: steering, braking, and lifting mechanisms Manoeuvring on various terrain types: flat ground, slopes, and uneven surfaces Handling and transporting loads safely 4. Load Handling and Dumping Techniques: Proper loading techniques: filling the dumper skip evenly and securely Understanding load capacity and weight distribution Safe dumping procedures: positioning the dumper, raising the skip, and discharging materials Preventing spills, tipping, and rollover incidents 5. Site Safety and Hazard Awareness: Identifying potential hazards on construction sites Working safely near pedestrians, other vehicles, and equipment Recognising environmental hazards such as uneven terrain, slopes, and soft ground Understanding site-specific safety protocols and regulations 6. Maintenance and Inspections: Importance of regular maintenance for dumper performance and longevity Daily, weekly, and monthly inspection routines Lubrication points and greasing schedules Identifying and troubleshooting common mechanical issues 7. Practical Hands-On Dumper Training: Practical exercises in dumper operation under supervision Manoeuvring in various challenging conditions: confined spaces, tight turns, slopes etc. Load handling exercises: loading, transporting, and dumping materials Emergency response drills: simulated scenarios to test response and decision-making skills 8. Assessment and Certification: Written examination to assess theoretical knowledge Practical assessment of dumper operation skills Certification upon successful completion of the Dumper course Conclusion A dumper training course provides participants with the essential knowledge, skills, and confidence to operate dumpers safely and efficiently in diverse work environments. By covering topics such as safety procedures, operation techniques, load handling, site awareness, maintenance practices, and practical hands-on training, participants can enhance their proficiency and contribute to a safer and more productive workplace. Whether you’re a novice operator or an experienced professional, investing in dumper training is essential for ensuring compliance, reducing risks, and promoting excellence in construction operations. At Vally Plant Training we offer a 100% Pass rate on all novice tests or a free re-test. Book your dumper training today, contact our customer support for all you training requirements in Gloucestershire Forward Tipping Dumper Training Available 7 days a week to suit your business requirements. VPT have a team of friendly and approachable instructors, who have a wealth of knowledge of Dumper Trucks and the construction industry We have our own training centre conveniently located close to the M5 junction 9, In Tewkesbury. With its own purpose-built Dumper practical training area to simulate an actual working environment Our Dumper training and test packages are priced to be competitive. Discounts are available for multiple bookings We can send a fully qualified NPORS Dumper Tester to your site nationwide, to reduce the amount of time away from work Our more courses: Polish your abilities with our dedicated Lift Supervision Training, Slinger Signaller Training, Telehandler Training, Cat & Genny Training, Plant Loader Securer, Ride-On Road Roller, Abrasive Wheel Training, Lorry Loader Training and Scissor Lift Training sessions. Learn the safe and effective operation of these vital machines, crucial for construction and maintenance tasks. Elevate your skills and career prospects by enrolling in our comprehensive courses today. Frequently Asked Questions about Dumper Training Curious about our dumper training courses? Here are answers to some common questions that prospective trainees often ask. If you need further details to aid your decision-making process, feel free to reach out to our customer support team for comprehensive course information. 1. How long does a dumper course typically take? The duration of our dumper training courses typically ranges from one to three days. The exact length depends on your current skill level and the specific course you opt for. 2. What qualifications do I need to drive a dumper? Prior to enrolling in our training, you must have passed the CITB Health, Safety and Environment test within the two years preceding your enrolment. Following that, successful completion of the NPORS training is required to obtain your trained operator card. 3. How much does it cost to obtain a dumper license? The cost of acquiring a dumper license varies based on the type of license you pursue and the duration of the training. Our courses start from £280 plus VAT. 4. How long does a dumper license last? NPORS Dumper Ticket Traditional cards remain valid for five years, while NPORS with the CSCS logo on cards expire two years after completing the training. 5. How do I apply for new updated NPORS card? There are two ways of renewing your operator card dependent on which one you choose, for the NPORS/CSCS cards you will need to complete a relevant NVQ, Please visit our NVQ page for more information. To renew your 5 year Traditional card please read the renewal paperwork NPORS will send to you prior to the card expiring. 6. What is the hourly rate for a dumper driver in the UK? Hourly rates for dumper drivers vary depending on the location within the UK. On average, it ranges between £15 and £18 per hour.(don’t quote us on this) How to Apply for Training Interested in our top-notch dumper training in the South West? Contact us today to apply or receive further information. Simply fill out the contact form on our website, and we’ll reach out to schedule a discussion.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm