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This Life Coaching course is an invaluable resource for anyone looking to improve their situation or turn their passion for helping others into a rewarding career. In today's world, job markets are fiercely competitive. If you lack solid organizational skills, communication skills, and strong listening skills, landing your dream job will be extremely difficult. This course covers all of these topics in-depth to help you improve your skills in those areas. This Life Coaching course will teach you about the duties and responsibilities of a professional life coach, common reasons for consulting with life coaches, how communication skills affect consultation quality, and an introduction to essential life coaching tools and techniques. So do not miss out on this once-in-a-lifetime opportunity and enrol now. When dealing with clients and bosses and during job interviews and presentations, intelligent body language is essential. This course will also teach you how to effectively manage your body language and facial expressions. Do not miss out on this great opportunity; enrol today. Learning Outcomes After completing the Life Coaching course, you will be able to: Describe the roles and goals of life coaching. Determine the most common reasons for consulting with a life coach. Describe everything about coaching. Develop your listening and communication skills and your understanding of how communication affects the quality of consultations. Use neuro-linguistic programming and put it into practice. Determine how body language plays a part in life coaching. Describe the most up-to-date life coaching strategies and processes. Investigate the possibility of owning a life coaching company. Improve your public speaking and negotiating abilities. Why Choose Life Coaching Course from Us? Self-paced course, access available from anywhere. Easy to understand, high-quality study materials of Life Coaching. This Course developed by industry experts. Life Coaching MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. ***Course Included*** Main Course: Life Coaching Course **Free Courses** Course 01: Anger Management Course 02: Level 5 Diploma in Business Analysis Course curriculum Module 1: Life Coaching Fundamentals Module 2: The Process of Life Coaching Module 3: Emerging Communication Skills Module 4: Introduction to Neuro-Linguistics Programming (NLP) Module 5: Mental Skills Development Module 6: Physical Skills Development Module 7: Body Language Module 8: Emerging Organizational Skills Module 9: Developing Creativity Module 10: Improving Presentation Skills Module 11: Developing Effective Negotiation Skills Module 12: Managing Your First Impression Assessment Method After completing each module of the Life Coaching Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Life Coaching course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Life Coaching course is open to candidates with no prior expert experience from all backgrounds. This course is perfect for: Life Coaches Students Fresh Graduates Job Seekers People who are serious about loving and assisting others. Requirements There are no specific requirements for this Life Coaching course because it does not require any advanced knowledge or skills. Career path This Life Coaching course gives you a brand-new way to break into the related employment market. It enables you to get extensive experience and the necessary skill in a short time. It will also provide you with the greatest amount of confidence in your ability to grow and improve. By introducing new skills to your CV, you will be able to progress your career and become more successful. Certificates Certificate of completion Digital certificate - Included

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Course 07: Architectural Studies Introduction to Architectural Studies Ancient Architecture Architectural Ideas and Movements Architectural Styles Art Deco Architectural Style Scandinavian Architectural Style Victorian Architectural Style Classical and Early Christian Architectural Style Gothic Architectural Style Baroque and Rococo Architectural Style Eclecticism Architectural Style Modern and Post-Modern Architectural Style Interior Designing Colour in Interior Designing Lighting in Interior Design Part One Lighting in Interior Design Part Two Course 08: Property Law and Legislation Introduction to Property Law Land Law Principles- Rights and Interests Registered and Unregistered Land Ownership and Possession of the Property Co-Ownership in Property Leases and Bailment Property Law: License The Mortgage Law Insurance for Property Maintenance Proprietary Estoppel (Property Rights) Security Interests in Property Course 09: Construction Industry Scheme (CIS) Construction Industry Scheme (CIS) Coverage of the Scheme Contractors and Registration for the Scheme Verification Process The CIS Returns Record Keeping and CIS Certificates Penalties Involved in CIS Miscellaneous Information Course 10: WELL Building Standard Introduction Air Water Nourishment Light Fitness Comfort Mind Course 11: LEED V4: Building Design and Construction Introduction Integrative Process Location & Transportation Sustainable Sites Water Efficiency Energy & Atmosphere Materials & Resources Indoor Environment Quality Innovation Regional Priority Completion Course 12: AutoCAD VBA Programming - Beginner course Introduction VBA Integrated Development Environment (IDE) Understanding AutoCAD Object Model in VBA Using Variables in VBA User Forms and Controls Conditionals and Decisions in VBA Looping and Iterations in VBA Drawings Objects in VBA Code Debugging in VBA Error Handling in VBA Conclusion Course 13: PUWER Provision and Use of Work Equipment Regulations Selection and Conformity of Work Equipment Safe Functionality of Work Equipment Monitoring and Evaluation of Work Equipment Maintenance of Work Equipment Course 14: Construction Safety Managing Health and Safety Risk Assessment and Common Risks Health and Safety Guidelines and Legislations Reporting Accidents at Work General Site Issues Working at Height Excavation Work and Confined spaces Work Equipments Manual and Mechanical Handling Chemical and Biological Health Hazards and Control Electrical Hazards and Control Fire Hazards and Control CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our bundle is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so that you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course; it can be studied in your own time at your own pace. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Building Quantity Surveying Training Level 3) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Building Quantity Surveying Training Level 3) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

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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

Dive into the fascinating world of Python programming where you’ll master the fundamentals of classes, methods, and object-oriented programming (OOP) with clarity and confidence. This course is tailored for those eager to deepen their coding knowledge and build robust, organised software using Python’s powerful OOP features. You’ll explore how to create your own classes, design methods that interact seamlessly, and understand key principles such as inheritance, encapsulation, and polymorphism—all explained in an accessible and engaging manner. Whether you’re a budding coder or someone aiming to refine your programming toolkit, this course delivers content in a clear, step-by-step style that makes complex concepts feel approachable. Along the way, expect a few witty explanations to keep things lively while maintaining professional precision. With each lesson, you’ll find yourself thinking more like a programmer and less like a bewildered keyboard wrangler. Perfectly suited for online learners, this course invites you to grow your Python skills at your own pace, with materials designed to enhance your understanding and fuel your curiosity. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Here is a curriculum breakdown of the Code with Python: Learn Classes, Methods and OOP course: Section 01: Introduction Course Introduction Course Curriculum How to get Pre-requisites Getting Started on Windows, Linux or Mac Section 02: Class Introduction to Class Create a Class Calling a Class Object Class Parameters - Objects Access Modifiers(theory) Summary Section 03: Methods Introduction to methods Create a method Method with parameters Method default parameter Multiple parameters Method return keyword Method Overloading Summary Section 04: OOPs Object-Oriented Programming Introduction to OOPs Classes and Objects Class Constructors Assessment Test1 Solution for Assessment Test1 Summary Section 05: Inheritance and Polymorphism Introduction Inheritance Getter and Setter Methods Polymorphism Assessment Test2 Solution for Assessment Test2 Summary Section 06: Encapsulation and Abstraction Introduction Access Modifiers (public, protected, private) Encapsulation Abstraction Summary Section 07: Python Games for Intermediate Introduction Dice Game Card and Deck Game Playing Summary Section 08: Modules and Packages Introduction PIP command installations Modules Naming Module Built-in Modules Packages List Packages Summary Section 09: Working Files with Pandas Introduction Reading CSV files Writing CSV files Summary Section 10: Error and ExceptionHandling Introduction Errors - Types of Errors Try - ExceptExceptions Handling Creating User-Defined Message Try-Except-FinallyBlocks Summary Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Code with Python: Learn Classes, Methods and OOP course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Code with Python: Learn Classes, Methods and OOP course is open to all, with no formal entry requirements. Career path Upon successful completion of the Code with Python: Learn Classes, Methods and OOP Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

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This course focuses on understanding all the basic theory and programming skills required as a data scientist, featuring 35+ practical case studies covering common business problems faced by them. This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of data science and deep learning to real-world business problems.

Highlights of the Course Course Type: Online Learning Duration: 19 Hours 57 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about python Understand the core competencies and principles of python Explore the various areas of python Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert python developer Python Masterclass Course Master the skills you need to propel your career forward in python. This course will equip you with the essential knowledge and skillset that will make you a confident python developer and take your career to the next level. This comprehensive Python masterclass course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this Python masterclass course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective python practice and equip you with the essential skills, confidence and competence to assist you in the python industry. You'll gain a solid understanding of the core competencies required to drive a successful career in python. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for python developer or for people who are aspiring to specialise in python. Enrol in this Python masterclass course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive Python masterclass course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this python can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Python masterclass course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Python masterclass course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This Python masterclass course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. 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 Python Basics What Is Python Installation And First Execution 00:09:00 Variables, Creating And Running External Script, Interactive Shell 00:14:00 Comments 00:03:00 Types Of Variables 00:09:00 Math Operators 00:10:00 Exercise: Adding VAT To Products 00:08:00 Semicolon and ENTER - Assigning Multiple Values To Variables At Once 00:04:00 Assignment Operators 00:02:00 Playing With Strings (Slicing, Adding And Having Fun) 00:10:00 Functions and Libraries Basics Importing Libraries, What Are Functions - Basics 00:11:00 ATTENTION - Important Lecture About Common Mistake Regarding Functions 00:05:00 Taking Data From User And Type Conversion (Casting) 00:12:00 Conditional statements Comparison (Relational) Operators 00:05:00 Instruction 'If' Why INDENTATION Is IMPORTANT In Python | DO NOT SKIP! 00:11:00 EXERCISE: Simple Calculator 00:11:00 Values Different Than 0 00:03:00 Logical Operators 00:10:00 Loops Loop While 00:06:00 EXERCISE: Adding Numbers Taken From The User 00:08:00 Loop For 00:06:00 Instruction Break And Continue 00:11:00 EXERCISE: Guess The Number 00:09:00 Lists What Are Lists Basic Operations On Lists 00:10:00 Checking If Element Is 'In' Or 'Not In' The List 00:03:00 Operating On Lists With Functions Bn 00:14:00 Advanced Types Tuples - What Does Immutable Mean 00:05:00 Dictionaries 00:10:00 Sets 00:07:00 Operations On Sets 00:08:00 Nested Types 00:13:00 Processing Nested Types Using Loops 00:03:00 Dictionary Inside Dictionary, Dictionary Inside List - When To Choose Which 00:09:00 Extracting (Lterating Through) Values From Nested Dictionaries 00:20:00 EXERCISE: Dynamic Dictionary With Definitions 00:12:00 Transformations List Comprehensions 00:10:00 Generator Expressions 00:11:00 Dictionary Comprehensions 00:14:00 Set Comprehension 00:03:00 EXERCISE: Finding Numbers That Are Divisible By 7, But Are Not Divisible By 5 00:10:00 Functions - Basics What Are Functions How To Create A Function Why Should We Use Functions 00:10:00 Multiple Parameters In Function (Passing More Arguments) 00:05:00 Returning Values From Function 00:12:00 Functions - Advanced Multi Module Application | How To Import Your Own Module 00:10:00 enum - What It Is And Why You Should Use It 00:13:00 EXERCISE: Sum Of All Numbers Up To The One Entered By User | IMPORTANT Lecture 00:14:00 Measuring PERFORMANCE Of Code | How well (Fast) Some Part Of Code Work | Time 00:15:00 Function As Argument Of Another Function | How To Measure Performance Of Func 00:07:00 Default Arguments 00:07:00 Named (keyword) And Unnamed (Positional) Arguments 00:09:00 EXERCISE - Checking If Value Is In Container 00:07:00 Variable Length Argument (Multiple Arguments Sent And Saved In Single Parameter) 00:12:00 Local vs Global Variables - Scope - Lifetime Of Variables 00:09:00 Mutable vs Immutable Objects 00:21:00 Shallow vs Deep Copy Of Object 00:14:00 Lambda | Anonymous functions - What Are They When Should You Use Them 00:12:00 Random Numbers Drawing Random Numbers - Creating A Program That Checks If You Hit The Monster 00:15:00 Random Events - Choice vs Choices Function 00:09:00 Shuffle - Shuffling Cards In 'War' Game 00:03:00 EXERCISE: Drawing Elements Without REPETITION - Lottery Game - 6 Numbers From 49 00:13:00 EXERCISE | GAME | Drawing Random Chests Colours With Random Rewards 00:25:00 EXERCISE | GAME | Drawing Approximate Value To A Certain Value 00:08:00 Working With Files in Python and Exceptions What Is A File How To Create It Why Do We Need To CLOSE It How To Save Data 00:10:00 Exceptions, Try, Finally Block 00:04:00 Opening The File Using: With… As…: 00:03:00 Reading The Content Of File - Read vs Readlines, Splitting Lines, Encoding 00:07:00 Seek And Tell - Changing And Reading The Position Of Last Operation In File 00:05:00 Append - Adding Text At The End Of File 00:02:00 A+, R+, W+ - Two Function File Opening Modes 00:07:00 Keyword Except - Catching Exceptions - EXERCISE - Loading Names And Surnames 00:12:00 JSON What Is JSON Why Do We Use It What Problems Does JSON Solve 00:06:00 Creating And Saving Data From Python In JSON Format To File And String 00:10:00 Loading Data From JSON File To Python 00:04:00 Pretty Printer - Loading/Saving Pretty And Sorted JSON 00:08:00 pip and PyPi - using External Packages What Is Pip And PyPi Installing And Playing With External Package - Request 00:11:00 Loading Data From Server From JSON File - Preface To Next EXERCISE 00:10:00 Processing JSON Data | Extracting Top Values From List Of Dictionaries 00:18:00 SOLUTION 1: Retrieving A Few Users From Server At The Same Time 00:07:00 SOLUTION 2: Retrieving A Few Users From Server At The Same Time 00:05:00 SOLUTION 3: Retrieving A Few Users From Server At The Same Time 00:12:00 Defaultdict Supplying Missing Values Of Dictionary When Accessing Empty Element 00:06:00 API What Is Public API Where To Find Them. stackoverflow API 00:13:00 Getting JSON From Stackoverflow.com -> Getting Top Questions From Last Week 00:10:00 Opening Websites From Python Code - Webbrowser Module 00:05:00 Getting Records From Last Week - Datetime Module 00:10:00 EXERCISE: Cat Facts 00:06:00 EXERCISE: Random CAT Images By Breed 00:03:00 Authorization - Log In Using API Key - Getting Holiday Calendar 00:12:00 API - header authorization - POST % DELETE Authorization Through Header - Settings 00:06:00 EXERCISE: CAT System - Introduction 00:13:00 POST - Adding A Cat To Favourite List 00:07:00 DELETE - Removing A Cat From Favourite List 00:15:00 Visual Studio Code - Installation and Setting VSC - Downloading And Installing 00:03:00 Setting Up The Workspace In VSC And Installing Basic Extensions 00:08:00 Linter - What Is Linting - How To Use It, Settings In .Vscode 00:10:00 Code Runner | Custom Shortcuts | Shortcuts From Other Editors, Interactive Shell 00:11:00 Auto Save - Making Sure Your File Is Saved After Each Change 00:01:00 Snippets And Pass Keyword 00:06:00 Automatic Code Formatting 00:03:00 Debugging Mode - How To Professionally Debug Your Code 00:16:00 Ligatures - Custom Font Created Especially For Programmers - Fira Code 00:07:00 Visual Studio Code - Useful Extensions Icons Theme 00:02:00 Bracket Pair Colorizer - Improving Readability Of Your Code 00:02:00 Python Preview - Watching The Code Execution While Writing It 00:07:00 Python Quick Print 00:01:00 Code Spell Checker 00:03:00 What Is Object Oriented Programming 00:04:00 OOP - Object Oriented Programming What Are Objects And Classes How To Create A Simple Object And Class. 00:14:00 Creating Your First Method - What Is “Self” 00:15:00 __Init__ - Sending Arguments To Class For Initialization 00:08:00 EXERCISE: Create Rockets That Can Move Up 00:11:00 Document String - Docstring 00:06:00 __Str__ - Dunder Method Representing Text Of Object 00:05:00 EXERCISE: Organizing More Than One Class - Rocket Board 00:10:00 __Getitem__, __Setitem__ - Setting And Getting Values Using Dunder Methods 00:10:00 EXERCISE: Counting Distance Between Rockets 00:21:00 Is It Important To Understand Math That Was Used In The Last Lecture 00:06:00 Static Methods 00:12:00 Setting Type For Variables Using Annotations - Pyright Extension 00:12:00 __Len__ 00:05:00 Class / Static Variables - Creating USER With Unique Ids 00:11:00 EXERCISE: Bank Account - Withdraw/Deposit Money 00:07:00 How To Properly Handle Returned Values From Methods 00:16:00 Inheritance And Method Overriding - Super 00:19:00 EXERCISE: Inheritance On Practical Example - Result 00:08:00 EXERCISE: Playing With Cube, Square And Rectangle 00:09:00 Inheritance Vs Association - When To Use Which 00:16:00 Generator functions Generator Functions - Yield Keyword 00:13:00 EXERCISE: Generate Infinite Amount Of Numbers Multiplied By Themselves 00:06:00 Send Method - How To Send A Value Into A Generator 00:12:00 Assessment Assessment - Python Diploma 00:10:00 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

Highlights of the Course Course Type: Online Learning Duration: 19 Hours 57 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about python Understand the core competencies and principles of python Explore the various areas of python Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert python developer Python Masterclass Course Master the skills you need to propel your career forward in python. This course will equip you with the essential knowledge and skillset that will make you a confident python developer and take your career to the next level. This comprehensive Python masterclass course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this Python masterclass course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective python practice and equip you with the essential skills, confidence and competence to assist you in the python industry. You'll gain a solid understanding of the core competencies required to drive a successful career in python. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for python developer or for people who are aspiring to specialise in python. Enrol in this Python masterclass course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive Python masterclass course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this python can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Python masterclass course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Python masterclass course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This Python masterclass course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. 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 Python Basics What Is Python Installation And First Execution 00:09:00 Variables, Creating And Running External Script, Interactive Shell 00:14:00 Comments 00:03:00 Types Of Variables 00:09:00 Math Operators 00:10:00 Exercise: Adding VAT To Products 00:08:00 Semicolon and ENTER - Assigning Multiple Values To Variables At Once 00:04:00 Assignment Operators 00:02:00 Playing With Strings (Slicing, Adding And Having Fun) 00:10:00 Functions and Libraries Basics Importing Libraries, What Are Functions - Basics 00:11:00 ATTENTION - Important Lecture About Common Mistake Regarding Functions 00:05:00 Taking Data From User And Type Conversion (Casting) 00:12:00 Conditional statements Comparison (Relational) Operators 00:05:00 Instruction 'If' Why INDENTATION Is IMPORTANT In Python | DO NOT SKIP! 00:11:00 EXERCISE: Simple Calculator 00:11:00 Values Different Than 0 00:03:00 Logical Operators 00:10:00 Loops Loop While 00:06:00 EXERCISE: Adding Numbers Taken From The User 00:08:00 Loop For 00:06:00 Instruction Break And Continue 00:11:00 EXERCISE: Guess The Number 00:09:00 Lists What Are Lists Basic Operations On Lists 00:10:00 Checking If Element Is 'In' Or 'Not In' The List 00:03:00 Operating On Lists With Functions Bn 00:14:00 Advanced Types Tuples - What Does Immutable Mean 00:05:00 Dictionaries 00:10:00 Sets 00:07:00 Operations On Sets 00:08:00 Nested Types 00:13:00 Processing Nested Types Using Loops 00:03:00 Dictionary Inside Dictionary, Dictionary Inside List - When To Choose Which 00:09:00 Extracting (Lterating Through) Values From Nested Dictionaries 00:20:00 EXERCISE: Dynamic Dictionary With Definitions 00:12:00 Transformations List Comprehensions 00:10:00 Generator Expressions 00:11:00 Dictionary Comprehensions 00:14:00 Set Comprehension 00:03:00 EXERCISE: Finding Numbers That Are Divisible By 7, But Are Not Divisible By 5 00:10:00 Functions - Basics What Are Functions How To Create A Function Why Should We Use Functions 00:10:00 Multiple Parameters In Function (Passing More Arguments) 00:05:00 Returning Values From Function 00:12:00 Functions - Advanced Multi Module Application | How To Import Your Own Module 00:10:00 enum - What It Is And Why You Should Use It 00:13:00 EXERCISE: Sum Of All Numbers Up To The One Entered By User | IMPORTANT Lecture 00:14:00 Measuring PERFORMANCE Of Code | How well (Fast) Some Part Of Code Work | Time 00:15:00 Function As Argument Of Another Function | How To Measure Performance Of Func 00:07:00 Default Arguments 00:07:00 Named (keyword) And Unnamed (Positional) Arguments 00:09:00 EXERCISE - Checking If Value Is In Container 00:07:00 Variable Length Argument (Multiple Arguments Sent And Saved In Single Parameter) 00:12:00 Local vs Global Variables - Scope - Lifetime Of Variables 00:09:00 Mutable vs Immutable Objects 00:21:00 Shallow vs Deep Copy Of Object 00:14:00 Lambda | Anonymous functions - What Are They When Should You Use Them 00:12:00 Random Numbers Drawing Random Numbers - Creating A Program That Checks If You Hit The Monster 00:15:00 Random Events - Choice vs Choices Function 00:09:00 Shuffle - Shuffling Cards In 'War' Game 00:03:00 EXERCISE: Drawing Elements Without REPETITION - Lottery Game - 6 Numbers From 49 00:13:00 EXERCISE | GAME | Drawing Random Chests Colours With Random Rewards 00:25:00 EXERCISE | GAME | Drawing Approximate Value To A Certain Value 00:08:00 Working With Files in Python and Exceptions What Is A File How To Create It Why Do We Need To CLOSE It How To Save Data 00:10:00 Exceptions, Try, Finally Block 00:04:00 Opening The File Using: With… As…: 00:03:00 Reading The Content Of File - Read vs Readlines, Splitting Lines, Encoding 00:07:00 Seek And Tell - Changing And Reading The Position Of Last Operation In File 00:05:00 Append - Adding Text At The End Of File 00:02:00 A+, R+, W+ - Two Function File Opening Modes 00:07:00 Keyword Except - Catching Exceptions - EXERCISE - Loading Names And Surnames 00:12:00 JSON What Is JSON Why Do We Use It What Problems Does JSON Solve 00:06:00 Creating And Saving Data From Python In JSON Format To File And String 00:10:00 Loading Data From JSON File To Python 00:04:00 Pretty Printer - Loading/Saving Pretty And Sorted JSON 00:08:00 pip and PyPi - using External Packages What Is Pip And PyPi Installing And Playing With External Package - Request 00:11:00 Loading Data From Server From JSON File - Preface To Next EXERCISE 00:10:00 Processing JSON Data | Extracting Top Values From List Of Dictionaries 00:18:00 SOLUTION 1: Retrieving A Few Users From Server At The Same Time 00:07:00 SOLUTION 2: Retrieving A Few Users From Server At The Same Time 00:05:00 SOLUTION 3: Retrieving A Few Users From Server At The Same Time 00:12:00 Defaultdict Supplying Missing Values Of Dictionary When Accessing Empty Element 00:06:00 API What Is Public API Where To Find Them. stackoverflow API 00:13:00 Getting JSON From Stackoverflow.com -> Getting Top Questions From Last Week 00:10:00 Opening Websites From Python Code - Webbrowser Module 00:05:00 Getting Records From Last Week - Datetime Module 00:10:00 EXERCISE: Cat Facts 00:06:00 EXERCISE: Random CAT Images By Breed 00:03:00 Authorization - Log In Using API Key - Getting Holiday Calendar 00:12:00 API - header authorization - POST % DELETE Authorization Through Header - Settings 00:06:00 EXERCISE: CAT System - Introduction 00:13:00 POST - Adding A Cat To Favourite List 00:07:00 DELETE - Removing A Cat From Favourite List 00:15:00 Visual Studio Code - Installation and Setting VSC - Downloading And Installing 00:03:00 Setting Up The Workspace In VSC And Installing Basic Extensions 00:08:00 Linter - What Is Linting - How To Use It, Settings In .Vscode 00:10:00 Code Runner | Custom Shortcuts | Shortcuts From Other Editors, Interactive Shell 00:11:00 Auto Save - Making Sure Your File Is Saved After Each Change 00:01:00 Snippets And Pass Keyword 00:06:00 Automatic Code Formatting 00:03:00 Debugging Mode - How To Professionally Debug Your Code 00:16:00 Ligatures - Custom Font Created Especially For Programmers - Fira Code 00:07:00 Visual Studio Code - Useful Extensions Icons Theme 00:02:00 Bracket Pair Colorizer - Improving Readability Of Your Code 00:02:00 Python Preview - Watching The Code Execution While Writing It 00:07:00 Python Quick Print 00:01:00 Code Spell Checker 00:03:00 What Is Object Oriented Programming 00:04:00 OOP - Object Oriented Programming What Are Objects And Classes How To Create A Simple Object And Class. 00:14:00 Creating Your First Method - What Is “Self” 00:15:00 __Init__ - Sending Arguments To Class For Initialization 00:08:00 EXERCISE: Create Rockets That Can Move Up 00:11:00 Document String - Docstring 00:06:00 __Str__ - Dunder Method Representing Text Of Object 00:05:00 EXERCISE: Organizing More Than One Class - Rocket Board 00:10:00 __Getitem__, __Setitem__ - Setting And Getting Values Using Dunder Methods 00:10:00 EXERCISE: Counting Distance Between Rockets 00:21:00 Is It Important To Understand Math That Was Used In The Last Lecture 00:06:00 Static Methods 00:12:00 Setting Type For Variables Using Annotations - Pyright Extension 00:12:00 __Len__ 00:05:00 Class / Static Variables - Creating USER With Unique Ids 00:11:00 EXERCISE: Bank Account - Withdraw/Deposit Money 00:07:00 How To Properly Handle Returned Values From Methods 00:16:00 Inheritance And Method Overriding - Super 00:19:00 EXERCISE: Inheritance On Practical Example - Result 00:08:00 EXERCISE: Playing With Cube, Square And Rectangle 00:09:00 Inheritance Vs Association - When To Use Which 00:16:00 Generator functions Generator Functions - Yield Keyword 00:13:00 EXERCISE: Generate Infinite Amount Of Numbers Multiplied By Themselves 00:06:00 Send Method - How To Send A Value Into A Generator 00:12:00 Assessment Assessment - Python Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift - Enrol Property Development Now Tired of browsing and searching for the course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in Property Development and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all in one Property Development bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Property Development course that will enhance your skills and prepare you for the competitive job market. Furthermore, to help you showcase your expertise in Property Development, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Property Development Bundle Consists of the following Premium courses: Course 01: Property Development Diploma Course 02: Property Law and Legislation Course 03: Decision-Making Course 04: Social Housing and Tenant Management Level 2 Course 05: Construction Industry Scheme (CIS) Course 06: LEED V4: Building Design and Construction Course 07: WELL Building Standard Course 08: Property Marketing Course 09: AutoCAD VBA Programming - Beginner course Course 10: Construction Cost Estimation Diploma Course 11: Budgeting and Forecasting Course 12: Architectural Studies Course 13: Building Surveying and Construction Management Diploma Course 14: Land Surveying Benefits you'll get choosing Apex Learning: One payment, but lifetime access to 13 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the Property Development course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) Curriculum of Property Development Bundle: Course 01: Property Development Diploma Introduction Different Types of Property Property Research Property and the Law Different Methods of Finance Option Project Management and many more.... Course 02: Property Law and Legislation Introduction Land Law Principles- Rights and Interests Registered and Unregistered Land Ownership and Possessio Leases and Bailment License The Mortgage Law Security Interests and many more.... Course 03: Decision-Making Module 01: What is Decision Making? Module 02: Stress and Its Impact Module 03: Time Stress and Decision Making Module 04: Personal Level Decision making Under Stress Module 05: Organisational Level Decision making Under Stress Module 06: Decision Making for Conflict Management Course 04: Social Housing and Tenant Management Level 2 Introduction to Social Housing Tenant Selection and Tenant Management Managing Rental Income and Arrears Resident Involvement in Social Housing Dealing with Anti-Social Behaviours and many more.... Course 05: Construction Industry Scheme (CIS) Construction Industry Scheme (CIS) Coverage of the Scheme Contractors and Registration for the Scheme Verification Process The CIS Returns Record Keeping and CIS Certificates Penalties Involved in CIS Miscellaneous Information Course 06: LEED V4: Building Design and Construction Introduction Integrative Process Location & Transportation Sustainable Sites Water Efficiency Energy & Atmosphere Indoor Environment Quality Innovation Regional Priority Completion and many more.... Course 07: WELL Building Standard Introduction Air Water Nourishment Light Fitness Comfort Mind Course 08: Property Marketing Listing Properties and Marketing The Letting Process and Tenancy Agreement Strategies for a Real Estate Investor Marketing Regulations Changes in the UK Property Market Course 09: AutoCAD VBA Programming - Beginner course Introduction VBA Integrated Development Environment (IDE) Understanding AutoCAD Object Model in VBA Using Variables in VBA User Forms and Controls Conditionals and Decisions in VBA Looping and Iterations in VBA Drawings Objects in VBA Code Debugging in VBA Error Handling in VBA Conclusion Course 10: Construction Cost Estimation Diploma Introduction to Construction Management Cost Estimation Role of Cost Estimator and New Aspects of Cost Estimation Elements and Factors influencing Cost Estimation Cost Estimation in Construction Industry Cost Management Course 11: Budgeting and Forecasting Introduction Detail Budget Requirement Process of Making Budget Course 12: Architectural Studies Introduction to Architectural Studies Ancient Architecture Architectural Styles Art Deco Architectural Style Victorian Architectural Style and many more... Course 13: Building Surveying and Construction Management Diploma Construction Cost Estimation Introduction to Construction Management Cost Estimation Role of Cost Estimator and New Aspects of Cost Estimation Elements and Factors influencing Cost Estimation Cost Management and many more.... Building Surveyor Training An Introduction Building Law Principles Building Procurement and Contract Administration Building Information Modelling Building Technology and many more..... Course 14: Land Surveying Introduction to Land Surveying Land Surveying Basics Land Surveying Instrumentation Land Surveying Methods and Techniques Topographic Surveying and Mapping and many more.... CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Property Development bundle. Requirements Our Property Development course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Property Development expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Property Development Diploma) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.