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The 'Management: LEED Operations Management' course provides comprehensive knowledge of LEED (Leadership in Energy and Environmental Design) operations management, focusing on sustainable practices and green building standards. Participants will learn about various LEED credit categories, including location and transportation, sustainable sites, water efficiency, energy and atmosphere, materials and resources, indoor environmental quality, innovation, regional priority, and LEED Accredited Professional certification. Learning Outcomes: Understand the fundamentals of LEED operations management and its significance in promoting sustainability. Identify the minimum program requirements and rating system selection for LEED certification. Evaluate alternative transportation options and their impact on sustainable sites. Implement water efficiency strategies and practices in buildings. Analyze energy and atmosphere aspects to optimize energy performance and use renewable energy sources. Establish sustainable materials and resource management policies to reduce waste and promote responsible procurement. Implement indoor environmental quality management programs for improved air quality, thermal comfort, lighting, and green cleaning. Explore innovation credits and LEED Accredited Professional certification opportunities. Recognize regional priorities and their impact on LEED certification. Successfully complete the LEED Operations Management course with a comprehensive understanding of sustainable building practices. Why buy this Management: LEED Operations Management? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Management: LEED Operations Management there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Management: LEED Operations Management course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Management: LEED Operations Management does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Management: LEED Operations Management was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Management: LEED Operations Management is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Introduction Module 01: Introduction - About this course 00:03:00 Module 02: Getting Started 00:04:00 Module 03: Minimum Program Requirements 00:07:00 Module 04: Rating System Selection 00:07:00 Unit 02: Location & Transportation Module 01: Overview 00:01:00 Module 02: Alternative Transportation Credit - Requirements 00:06:00 Module 03: Alternative Transportation Credit - Survey 00:06:00 Module 04: Alternative Transportation Credit - Calculations 00:08:00 Unit 03: Sustainable Sites Module 01: Overview 00:02:00 Module 02: Site Management Policy 00:06:00 Module 03: Site Development-Protect or Restore Habitat 00:03:00 Module 04: Rainwater Management 00:03:00 Module 05: Heat Island Reduction 00:06:00 Module 06: Light Pollution Reduction 00:03:00 Module 07: Site Management 00:04:00 Module 08: Site Improvement Plan 00:02:00 Module 09: Joint Use of Facilities 00:03:00 Unit 04: Water Efficiency Module 01: Overview 00:01:00 Module 02: Prerequisite Indoor Water Use Reduction 00:07:00 Module 03: Building-Level Water Metering 00:02:00 Module 04: Outdoor Water Use Reduction 00:04:00 Module 05: Indoor Water Use Reduction 00:03:00 Module 06: Cooling Tower Water Use 00:04:00 Module 07: Water Metering 00:03:00 Unit 05: Energy and Atmosphere Module 01: Overview 00:02:00 Module 02: Prerequisite Energy Efficiency Best Management Practices 00:05:00 Module 03: Minimum Energy Performance 00:04:00 Module 04: Building-Level Energy Metering 00:02:00 Module 05: Fundamental Refrigerant Management. 00:04:00 Module 06: Existing Building Commissioning-Analysis 00:05:00 Module 07: Existing Building Commissioning-Implementation 00:02:00 Module 08: Ongoing Commissioning 00:04:00 Module 09: Optimize Energy Performance 00:04:00 Module 10: Advanced Energy Metering 00:03:00 Module 11: Demand Response 00:05:00 Module 12: Renewable Energy and Carbon Offsets 00:03:00 Module 13: Enhanced Refrigerant Management 00:05:00 Unit 06: Materials and Resources Module 01: Overview 00:02:00 Module 02: Facility Maintenance and Renovation Policy 00:04:00 Module 03: Ongoing Purchasing and Waste Policy 00:06:00 Module 04: Purchasing-Ongoing 00:04:00 Module 05: Purchasing-Lamps 00:02:00 Module 06: Purchasing-Facility Maintenance and Renovation 00:04:00 Module 07: Solid Waste Management-Ongoing 00:03:00 Module 08: Solid Waste Management-Facility Maintenance and Renovation 00:02:00 Unit 07: Indoor Environmental Quality Module 01: Overview 00:01:00 Module 02: Minimum Indoor Air Quality Performance 00:05:00 Module 03: Environmental Tobacco Smoke Control 00:04:00 Module 04: Green Cleaning Policy 00:04:00 Module 05: Indoor Air Quality Management Program 00:03:00 Module 06: Enhanced Indoor Air Quality Strategies 00:06:00 Module 07: Thermal Comfort 00:04:00 Module 08: Interior Lighting 00:06:00 Module 09: Daylight and Quality Views 00:05:00 Module 10: Green Cleaning-Custodial Effectiveness Assessment 00:02:00 Module 11: Green Cleaning-Products and Materials 00:05:00 Module 12: Green Cleaning-Equipment 00:04:00 Module 13: Integrated Pest Management 00:03:00 Module 14: Occupant Comfort Survey 00:04:00 Unit 08: INNOVATION Module 01: Innovation Credit 00:03:00 Module 02: LEED Accredited Professional 00:01:00 Unit 09: REGIONAL PRIORITY Module 01: Regional Priority Overview 00:01:00 Module 02: Credit Regional Priority 00:02:00 Unit 10: Completion Module 01: Completion 00:01:00 Assignment Assignment - Management: LEED Operations Management 00:00:00

Step into the riveting realm of Solidworks, where imagination meets precision, and ideas transform into tangible designs. 'Solidworks: Beginner to Advanced' is a meticulously crafted journey tailored for curious minds keen to master the art and science of this software. Embark on a voyage starting from a foundational understanding, glide through sketches, part modelling, and eventually delve into intricate assemblies, drawings, and captivating animations. By the culmination, you'll possess the prowess to bring your creative visions to life with unparalleled precision. Learning Outcomes Acquire proficiency in navigating and utilising the core functionalities of Solidworks. Transform rudimentary sketches into detailed and precise 3D models. Master advanced part modelling, assembly techniques, and drawing intricacies. Immerse in the world of appearances, scenes, and produce realistic renderings. Execute captivating animations that showcase dynamic design components. Why choose this Solidworks: Beginner to Advanced course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Solidworks: Beginner to Advanced Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Solidworks: Beginner to Advanced course for? Novices keen to explore the intricacies of Solidworks. Engineers looking to enhance their design capabilities. Product designers aspiring to elevate their 3D modelling skills. Architecture and design students keen on a comprehensive software learning experience. Industry professionals aiming to stay abreast of cutting-edge design tools. Career path CAD Designer: £25,000 - £35,000 Mechanical Engineer: £30,000 - £50,000 Product Design Engineer: £28,000 - £48,000 Solidworks Draughtsperson: £24,000 - £34,000 Design Manager: £40,000 - £60,000 3D Visualisation Artist: £23,000 - £40,000 Prerequisites This Solidworks: Beginner to Advanced does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Solidworks: Beginner to Advanced was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction About the course 00:02:00 Course concept 00:01:00 Getting to Know Solidworks Creating a New Document 00:01:00 User Interface 00:02:00 Mouse Movements - Sketch 00:02:00 Mouse Movements - Part 00:03:00 Sketch Creating a Sketch Document 00:02:00 Basic Sketch Tools 00:07:00 Dimensions and Relations 00:12:00 Mirror Entities 00:02:00 Linear and Circular Sketch Pattern 00:06:00 Units 00:02:00 Sketch to Part Conversion 00:03:00 Opening/Saving Part Document 00:01:00 Part Modeling Basics Extruded Boss Base 00:03:00 Extruded Boss Base Additional 00:04:00 Extruded Cut 00:03:00 Sketch on the Part 00:02:00 Sketch on the New Plane 00:05:00 Draft 00:03:00 Shell 00:02:00 Fillet and Chamfer 00:03:00 Convert and Offset Entities 00:02:00 Lofted Boss 00:03:00 Revolved Boss 00:02:00 Swept Boss 00:05:00 Part and Sketch Modification 00:02:00 Part Modeling Advanced 3D Sketch 00:03:00 Density and Material 00:02:00 Measuring Tools 00:03:00 Linked Dimensions 00:04:00 Equations 00:05:00 Mirror 00:03:00 Hole Wizard 00:03:00 Reference Geometry 00:03:00 Feature Scope 00:02:00 Configurations And Design Table Creating a Design Table 00:06:00 Adding Configurations 00:05:00 Assembly Basics Inserting Part Relative to the Origin 00:02:00 Inserting Parts Relative to Planes 00:02:00 Standard Mates 00:04:00 Move Components 00:02:00 Mirror Component 00:01:00 Assembly Advanced Distance and Angle 00:04:00 Profile Centre 00:04:00 Symmetry and Width 00:05:00 Path Mate 00:05:00 Linear Coupler 00:06:00 Collision Detection 00:02:00 Interference Detection 00:03:00 Assembly Features 00:02:00 Subassembly 00:03:00 Drawing Basics Creating a Drawing Sheet 00:01:00 Orthographic Views and Edit Sheet 00:04:00 Projected View and View Properties 00:02:00 Smart Dimension and Model Item 00:05:00 Saving Options 00:01:00 Relative to Model View 00:03:00 Section View 00:04:00 Auxiliary View 00:03:00 Detail View 00:02:00 Broken Out Section 00:02:00 Break View 00:02:00 Alternate Position View 00:02:00 View Focus 00:02:00 Drawing Advanced Bill of Materials (BOM) 00:03:00 Bom Sort 00:01:00 Missing Item in Bom 00:02:00 Custom Properties 00:02:00 Equations in Bom 00:03:00 Show/Hide Component 00:02:00 Linked Notes 00:02:00 Measuring Tool 00:02:00 Isometric Section View 00:01:00 Appearance, Scene and Rendering Applying Materials 00:08:00 Appearance 00:05:00 Working with Woods 00:05:00 Working with Glass 00:04:00 Scene 00:04:00 Light 00:07:00 Camera 00:04:00 Decals 00:07:00 Text 00:05:00 Options 00:04:00 Rendering Panel 00:03:00 Schedule Rendering 00:02:00 Animation Creating Motion Study 00:02:00 Animation Wizard 00:08:00 Applying Motor 00:04:00 Appearance and Camera Position 00:07:00 Walkthrough Part-1 00:09:00 Walkthrough Part-2 00:06:00 Resources Resources - Solidworks: Beginner to Advanced 00:00:00 Assignment Assignment - Solidworks: Beginner to Advanced 00:00:00

Embark on a mathematical journey with our Functional Skills Maths course, designed to transform numbers and equations from daunting puzzles into fascinating challenges. Imagine standing at the crossroads of comprehension and mastery, where every integer and decimal is a stepping stone towards success. Our curriculum elegantly weaves through topics like the enigmatic world of integers, the rhythmic dance of factors and multiples, and the delicate balance of fractions. Explore the wonders of BODMAS, a simplification rule that brings order to chaos. Delve into the depths of decimal numbers and rational numbers, where precision meets practicality. Experience the thrill of approximation, and the precision of estimation and scientific notation, as you navigate through the practical realms of percentages, ratios, proportions, and the unitary method. Finally, grapple with real-world scenarios involving profit, loss, discount, and tax - the very essence of everyday maths. As you progress, each module unfolds like a chapter of a grand narrative, revealing the beauty and logic of mathematics. Whether you're deciphering the secrets of percentages or unraveling the complexities of ratio and proportion, this course promises a transformative experience. By turning abstract concepts into tangible skills, you'll not only gain knowledge but also the confidence to apply it in various contexts. Get ready to embark on a journey that not only educates but also empowers, as we guide you through the magical world of functional maths. Learning Outcomes Develop a robust understanding of key mathematical concepts including integers, fractions, and decimals. Master the BODMAS rule for effective problem-solving in mathematical equations. Gain proficiency in applying mathematical principles to real-life scenarios involving profit, loss, and taxation. Acquire skills in approximation, estimation, and understanding scientific notation for practical applications. Enhance ability to calculate and manipulate percentages, ratios, and proportions for diverse mathematical challenges. Why choose this Functional Skills Maths course? Individuals seeking to solidify their foundational maths skills. Students preparing for advanced studies in mathematics or related fields. Professionals requiring enhanced numerical skills for workplace applications. Anyone interested in improving their problem-solving and analytical abilities. Learners aspiring to apply mathematical concepts in everyday life. Who is this Functional Skills Maths course for? Individuals keen on mastering freestyle swimming. Beginners aiming to understand swimming basics and techniques. Athletes looking to enhance their swimming performance. Fitness enthusiasts seeking a comprehensive water workout. Adventurers aiming for open water swims or triathlon participation. Career path Financial Analyst: £30,000 - £50,000 Data Scientist: £35,000 - £70,000 Accountant: £25,000 - £50,000 Actuary: £32,000 - £60,000 Market Research Analyst: £24,000 - £45,000 Operational Researcher: £27,000 - £40,000 Prerequisites This Functional Skills Maths does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Functional Skills Maths was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Mock Exam Mock Exam - Functional Skills Maths 00:20:00 Final Exam Final Exam - Functional Skills Maths 00:20:00

Step into the vibrant world of web development with our 'jQuery Masterclass Course: JavaScript and AJAX Coding Bible.' This course is crafted to guide you through the intricate functionalities of jQuery, a powerful library that simplifies JavaScript programming. Starting with an introduction that sets the foundation, the course gradually unfolds the vast capabilities of jQuery, from simple selectors to complex AJAX operations. Each section is meticulously designed to build upon your skills, making the journey from novice to jQuery expert both engaging and informative. This course isn't just about learning to code; it's about empowering you to create interactive and dynamic web applications with ease and confidence. Progress through the curriculum to master various aspects of jQuery, including working with attributes and values, handling events, and manipulating HTML/CSS. You'll delve into traversing methods, learning to navigate and manipulate the Document Object Model (DOM) efficiently. The course also sheds light on creating visually appealing web pages with jQuery effects and animations. The comprehensive section on AJAX will equip you with the skills to make asynchronous requests, enhancing the user experience of your web applications. By the end of this course, you'll not only have a solid understanding of jQuery but also the practical know-how to implement it in real-world projects. Learning Outcomes Understand the core concepts and functionalities of jQuery. Master the use of selectors for manipulating DOM elements. Gain proficiency in handling events and working with HTML/CSS in jQuery. Learn to create dynamic web content and effects using jQuery. Develop skills in AJAX for asynchronous web programming. Why choose this jQuery Masterclass Course: JavaScript and AJAX Coding Bible? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this jQuery Masterclass Course: JavaScript and AJAX Coding Bible for? Web developers seeking to enhance their JavaScript and jQuery skills. Front-end developers aiming to create more interactive web applications. IT students and enthusiasts exploring web development technologies. Professionals transitioning to web development and programming. Anyone interested in learning jQuery for personal or professional web projects. Career path Web Developer: £25,000 - £50,000 Front-End Developer: £28,000 - £55,000 JavaScript Developer: £30,000 - £60,000 UI/UX Designer: £27,000 - £50,000 Full Stack Developer: £35,000 - £70,000 Web Application Developer: £32,000 - £65,000 Prerequisites This jQuery Masterclass Course: JavaScript and AJAX Coding Bible does not require you to have any prior qualifications or experience. You can just enrol and start learning.This jQuery Masterclass Course: JavaScript and AJAX Coding Bible was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01 : Introduction Introduction To This Course 00:02:00 Setup on Windows 00:03:00 Setup on Mac OS X 00:03:00 Setup on Linux 00:05:00 Online Code IDE 00:02:00 Uncompressed vs Minified vs Slim vs Slim Minified 00:05:00 Document Ready 00:03:00 Section 02 : Selectors Elements 00:03:00 All Elements 00:02:00 This Keyword 00:03:00 ID 00:02:00 Class 00:02:00 Multiple Items 00:03:00 First Element 00:02:00 Odd/Even 00:06:00 Element and Class 00:02:00 Children 00:04:00 Attributes 00:03:00 Type 00:04:00 Contains 00:03:00 Section 03 : Attributes/Values Get Attribute 00:02:00 Set Attribute 00:03:00 Set Attribute With Callback Function 00:03:00 Set Multiple Attributes 00:03:00 Remove 00:02:00 Text Attribute 00:02:00 Data Attribute 00:03:00 Value 00:03:00 HTML Value 00:02:00 Class 00:09:00 Section 04 : Events Binding & Unbinding 00:07:00 Attributes 00:04:00 Propagation 00:05:00 Prevent Default Behaviour 00:05:00 Mouse Single Click 00:02:00 Mouse Double Click 00:02:00 Mouse Enter Element 00:04:00 Mouse Leave Element 00:04:00 Mouse Hover 00:04:00 Mouse Down 00:03:00 Mouse Up 00:02:00 Keyboard Down 00:03:00 Keyboard Press 00:01:00 Keyboard Up 00:01:00 Form Submit 00:03:00 Form Change 00:03:00 Form Focus 00:04:00 Form Blur 00:02:00 Document/Window Scroll 00:03:00 Document/Window Resize 00:02:00 Combining Multiple Events Using A Single Selector 00:05:00 Section 05 : HTML/CSS Get and Set CSS Property 00:03:00 Set Multiple CSS Properties 00:02:00 Add, Remove and Toggle CSS Classes 00:06:00 Get and Set Element Dimensions 00:12:00 Adding Elements Using Append, Prepend, After and Before 00:05:00 Removing Elements Using Remove and Empty 00:06:00 Section 06 : Traversing Elements By Index 00:03:00 Child Elements 00:03:00 Parent Element 00:03:00 Sibling Elements 00:03:00 Filtering Elements 00:06:00 Section 07 : Effects Show, Hide and Toggle 00:11:00 Fading Using FadeIn, FadeOut, FadeToggle and FadeTo 00:06:00 Sliding Using SlideDown, SlideUp and SlideToggle 00:06:00 Animate 00:09:00 Stop Effects and Animations 00:03:00 Function Callback 00:03:00 Action and Method Chaining 00:05:00 Section 08: AJAX Load 00:05:00 Get JSON 00:04:00 GET Data 00:04:00 POST Data 00:05:00 Section 09 : Utility Functions Trim String 00:03:00 Extend 00:03:00 Extend Function 00:07:00 In Array 00:04:00 Each 00:03:00 Data Function 00:05:00 Proxy Function 00:03:00 Is Window Function 00:01:00 Now/Epoch Time Method 00:02:00 Number Check (isNumeric) 00:02:00 Dequeue 00:03:00 Global Evaluation 00:02:00 Section 10 : Resource Resource 00:00:00 Assignment Assignment - jQuery: JavaScript and AJAX Coding Bible 00:00:00

Sexual Harassment Awareness Training course offers comprehensive insights into recognising, understanding, and effectively managing instances of sexual harassment within the workplace. This Sexual Harassment Awareness Training online course delves into the different types of harassment, exploring both its psychological and social impacts, as well as the legal standards designed to protect individuals and uphold equality. Learners will gain practical knowledge of workplace policies, procedures, and best practices for addressing harassment, alongside techniques to create a safe, inclusive environment for all employees. With modules covering the nuances of dealing with toxicity, fostering respect, and understanding equality, this training equips individuals to advocate for positive workplace dynamics and ensure professional boundaries are maintained. Learning Outcomes of the Sexual Harassment Awareness Training Course By completing this Sexual Harassment Awareness Training course, learners will: Understand the impact and consequences of sexual harassment in professional settings. Identify various types and signs of sexual harassment. Familiarise themselves with workplace policies and relevant legal standards. Learn effective methods for addressing and preventing incidents of harassment. Gain insights into fostering inclusivity to minimise toxicity and promote equality. Key Features of the Sexual Harassment Awareness Training Course CPD-accredited certification for career enhancement. Flexible, on-demand learning with expert-developed resources. Continuous support from experienced industry professionals. Requirements Open to everyone; no prior experience required. Accessible on any internet-enabled device. CPD Certificate from Course Gate Upon successful course completion, learners may obtain a CPD certificate: PDF for £9, a hard copy for £15, or both for £22. Who Is This Sexual Harassment Awareness Training Course For? HR managers and team leaders aiming to reinforce workplace safety. Individuals seeking a deeper understanding of harassment issues. Professionals committed to promoting a respectful, harassment-free workplace. Career Path This Sexual Harassment Awareness Training enhances skills for roles such as: Human Resources Specialist Workplace Compliance Officer Employee Relations Manager Equality and Diversity Advisor

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Are you a Dog Lover? Do you own a dog at your home? Or do you just want to learn how to train dogs? The Diploma in Dog Training will be perfect for your needs and will be helpful for you to be able to train your dogs or other dogs. Description: Having a new puppy or adult dog is an exciting moment and a milestone for the entire family. As dogs are known as man's best friend and a loyal dog is more than just a pet since they are treated as a beloved member of the family. However, to be able to achieve that level of love and companionship, owners should consider that it is important to have your new puppy or adult dog off on the right foot. Dogs should have a solid grounding in obedience and problem behaviour avoidance to be able for you and them to become happier and healthier. Dog training will not be an easy task, especially at the beginning. And if you are struggling to communicate with them, it will be much more difficult to train them to make them obedient and behave well. This is where this course comes in handy. The Diploma in Dog Training will surely help you with the key commands and skills on how you should train your dogs and you will also learn more about issues that you may encounter during the process and how to solve it. Who is the course for? Dog owners and lovers who want to learn how to train their dogs. Entry Requirement: This course is available to all learners, of all academic backgrounds. However, an education and experience in dog training will be an advantage. 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 hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working 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 recognised 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 Diploma in Dog Training is perfect for dog owners and lovers who want to live peacefully with their obedient and well-behaved dogs. The course will also help dog trainers to acquire the key skills to become a professional trainer. Diploma in Dog Training Introduction 00:30:00 The Basic Commands 01:00:00 Training Your New Puppy 01:00:00 Leash/Collar Training 00:30:00 Head Collar Training 00:30:00 Training Collar or Choke Collar 00:30:00 Reward Training 00:30:00 Crate and House Training 01:00:00 Dog Obedience Training 00:30:00 Dog Training Issues 00:30:00 Advanced Dog Training Exercises 00:30:00 More Dog or Puppy Training Issues and Exercises 01:00:00 Conclusion 00:15:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Diploma in Dog Training 00:20:00 Final Exam Final Exam- Diploma in Dog Training 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

Description: Personal finance refers to the management of an individual's monetary sources. This is the process to ensure the need to budget, save, and spend wisely their resources. Learning how to do your finances will help you and your family achieve financial security. This course is designed to teach you personal banking and budgeting starting from the basics which will eventually lead you to develop your financial IQ. Who is the course for? For employees who are aiming to understand personal finances Anyone who is interested in attaining financial security and securing their future 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 recognised 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: This Advanced Diploma in Personal Finance course will be useful and would be beneficial for people who want to know more about their financial status. Also, this will be useful to different accounting and management occupations especially the following careers which help people in their finances: Accountant Bookkeeper Consultant Financial Adviser Financial Analyst Public Accountant. Introduction to Personal Finance Introduction 00:30:00 Setting Goals Towards Successful Financial Planning 00:30:00 Decide Your Spending Prudently 01:00:00 Dealing With Mountains Of Debt And Credit 01:00:00 All You Need To Know About Taxes 01:00:00 Jumping On The Right Insurance Plan 00:30:00 Getting Help From Professional Financial Experts 00:30:00 DIY With Personal Financial Software 00:30:00 Savings & Compounding Interest 00:30:00 Smart investments steps 01:00:00 Budgets and Money Management Finance Jeopardy 00:15:00 The Fundamentals of Finance 00:15:00 The Basics of Budgeting 00:15:00 Parts of a Budget 00:15:00 The Budgeting Process 00:30:00 Budgeting Tips and Tricks 00:15:00 Monitoring and Managing Budgets 00:15:00 Crunching the Numbers 00:15:00 Getting Your Budget Approved 00:15:00 Comparing Investment Opportunities 00:15:00 ISO 9001:2008 00:15:00 Directing the Peerless Data Corporation 00:30:00 Personal Banking and Budgeting 4 Tips For Understanding The Basic Banking Processes 01:00:00 5 Great Tips On Understanding Your Credit 00:30:00 4 Great Tips On Understanding Bank Fees 00:30:00 3 Great Tips On Setting Up And Maintaining A Budget 00:15:00 4 Great Tips On Reaching Your Savings Goals 01:00:00 4 Great Tips On Dealing With Errors And ID Theft 00:30:00 5 Great Tips On Fixing Your Credit Report 00:15:00 3 Great Tips On Choosing A Credit Card 00:30:00 3 Great Tips On Choosing An Installment Loan 00:30:00 3 Great Tips On Buying A Home 00:30:00 Developing Financial IQ Introduction To Financial IQ 01:00:00 Essential Ways To Build Wealth 01:00:00 When's The Right Time To Invest? 01:00:00 The Methods Of Financial Mess 01:00:00 Mock Exam Mock Exam- Advanced Diploma in Personal Finance 00:30:00 Final Exam Final Exam- Advanced Diploma in Personal Finance 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description:  Alternative medicine is the following but not limited to herbalism, homeopathy, and acupuncture. Alternative medicine can also be considered as natural healing since it does not undergo any artificial process which almost every medical prescription has gone through. If you are interested in learning about alternative medicine, then you don't have to look for another course. This course will provide you with the chance to learn about natural healing and alternative medicine. You will learn all about holistic treatments and why there are a lot of people who choose this even though most of it has no therapeutic claims from the medical industry. Who is the course for? Employees or businessmen who want to venture in Alternative Medicine industry. People who have an interest in Alternative Medicines. 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 hardcopy at a cost of £39 or in PDF format at a 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 recognised 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 Advanced Diploma in Alternative Medicine course will be useful and would be beneficial for every kind of occupations and careers on herbal medicine industry like: Alternative medicine Beauty parlour industry Dermatology Diet consultant Doctors Food nutritionist Holistic medicine Skin care industry. Module 1: Natural Healing What Is Spiritual Healing? 01:00:00 History of Spiritual Healing 01:30:00 Altered Mental State Healing 01:00:00 Yoga 01:00:00 The Chakras 01:00:00 Conclusion 00:15:00 Module 2: Alternative Medicine What Is Nature Cure? 00:30:00 Catechism of Nature Cure 00:15:00 What Is Life? 01:00:00 The Unity of Disease and Treatment 01:00:00 The Unity of Acute Diseases 01:00:00 The Laws of Cure 01:00:00 Suppression Versus Elimination 01:00:00 Inflammation 01:00:00 The Effects of Suppression of Venereal Diseases 01:00:00 Suppressive Surgical Treatment of Tonsillitis and Enlarged Adenoids 00:30:00 Cancer 00:30:00 Women's Suffering 01:00:00 The Treatment of Acute Diseases by Natural Methods 01:00:00 The True Scope of Medicine 01:00:00 Homeopathy 01:00:00 The Diphtheria Antitoxin 01:00:00 Vaccination 01:00:00 Surgery 01:00:00 Chronic Diseases 00:30:00 Crises 00:30:00 Periodicity 01:00:00 What About The 'Chronic'? It Takes So Long 01:00:00 The Treatment of Chronic Diseases 01:00:00 Vitality 01:00:00 Natural Dietetics 01:00:00 Acid Diseases 00:30:00 Fasting 00:30:00 Hydrotherapy Treatment of Chronic Disease 01:00:00 Air and Light Baths 00:30:00 Correct Breathing 00:30:00 Physical Exercise 01:00:00 Manipulative Treatment Massage 00:30:00 Legitimate Scope and Natural Limitations of Mental and Metaphysical Healing 00:30:00 The Difference Between Functional and Organic Disease 01:00:00 The Two-fold Attitude of Mind and Soul 01:00:00 The Symphony of Life 00:30:00 The Three-fold Constitution of Man 01:00:00 Mental Therapeutics 01:00:00 How Shall We Pray? 00:15:00 Scientific Relaxation and Normal Suggestion 01:00:00 Conclusion 00:15:00 Module 3: Holistic Treatment General Holistic Health Tips 01:00:00 Vitamins and Herbs 01:00:00 Natural Food Choices 01:00:00 Skin Remedies 01:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Advanced Diploma in Alternative Medicine 00:30:00 Final Exam Final Exam- Advanced Diploma in Alternative Medicine 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00