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Hotel management: Hotel management Online Introducing the Ultimate Online Course: Hotel Management: Hotel Management Course Are you passionate about the hospitality industry? Do you dream of managing luxurious hotels and providing unforgettable experiences for guests? Look no further! Our comprehensive Hotel Management: Hotel Management Course is designed to turn your passion into a successful career. Our course covers all aspects of hotel management, providing you with a solid foundation of knowledge and skills. From front desk operations to housekeeping, from event planning to revenue management, we leave no stone unturned. With this Hotel Management: Hotel Management Course you will gain expertise in managing guest services, staffing, marketing, finance, and much more. Learn about Hotel Management: Hotel Management Course from seasoned professionals who have excelled in the hotel management field. Our instructors bring a wealth of real-world experience, insider tips, and best practices to help you thrive in the industry. With our Hotel Management: Hotel Management Course, you can learn at your own pace and from anywhere in the world. Don't let your dreams of a fulfilling career in hotel management go unrealized. Enrol in our Hotel Management: Hotel Management Course today and embark on a journey of professional growth and personal achievement. Take the next step towards becoming a successful hotelier and shaping exceptional guest experiences. Main Course: Hotel Management Course Free Courses included with Hotel Management: Hotel Management Course Course 01: Security Management Course 02: Level 2 Certificate in Hospitality Management Course 03: Restaurant Management Course [ Note: Free PDF certificate as soon as completing Hotel Management: Hotel Management Course] Hotel management: Hotel management Online This Hotel management: Hotel management course consists of 11 modules. Course Curriculum of Hotel Management: Hotel Management Course Module 01: Hotel Management Module 02: Reception Management Module 03: Hiring and training in Hotel management Module 04: Housekeeping, and security operations management Module 05: Hospitality Staff Training and Future Development Module 06: Hospitality Quality Assurance Systems Module 07: Marketing and Advertising Module 08: Catering system Module 09: Various departments Communication Module 10: Accounting in the hospitality industry Module 11: Advance Technology and E-Hospitality Assessment Method of Hotel Management: Hotel Management After completing Hotel Management: Hotel Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Hotel Management: Hotel Management After completing the Hotel Management: Hotel Management Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Hotel management: Hotel management Online This Hotel Management: Hotel Management Course is open to everyone. Requirements Hotel management: Hotel management Online To enroll in this Hotel Management: Hotel Management Course, students must fulfill the following requirements: Good Command over English language is mandatory to enrol in our Hotel Management Course. Be energetic and self-motivated to complete our Hotel Management Course. Basic computer Skill is required to complete our Hotel Management Course. If you want to enrol in our Hotel Management Course you must be at least 15 years old.

Construction Safety: Construction Safety Do you want to contribute to a safer construction industry? The Construction Safety course provides foundational knowledge for working safely in construction settings. In the Construction Safety course, participants will learn about common hazards and risk assessments. Moreover, the Construction Safety course explains safety procedures and personal protective equipment (PPE). The Construction Safety course also covers the basic principles of health and safety legislation relevant to the construction industry. Additionally, this Construction Safety course promotes culture of safety awareness and responsibility. Construction Safety environment will develop an understanding of their role in maintaining a safe working environment and preventing accidents or injuries. Enrolling in our Construction Safety course ensures compliance with health and safety regulations! The learning outcome of Construction Safety course Upon completion of the Construction Safety course, you can expect to have the following learning outcomes: Understand health and safety regulations in this Construction Safety course. This Construction Safety course provides knowledge of potential hazards. Risk assessment, its measurements, and how to deal with risk are all covered in this Construction Safety course. Awareness of fire safety is also covered in our Construction Safety course. The Construction Safety course explains manual handling. You can understand the use of personal protective equipment with the help of this Construction Safety course. First aid’s explanation is also given in this Construction Safety course. Special Offers of this Construction Safety: Construction Safety Course: This Construction Safety: Construction Safety Course includes a FREE PDF Certificate. Lifetime access to this Construction Safety: Construction Safety Course Instant access to this Construction Safety: Construction Safety Course 24/7 Support Available to this Construction Safety: Construction Safety Course Construction Safety: Construction Safety Looking for the right start in construction? Our Construction Safety: Construction Safety course is your gateway to essential knowledge and skills in the industry. This Construction Safety: Construction Safety course thoroughly covers critical areas to ensure you’re well-prepared to work safely and confidently on any site. Gain hands-on insights in plastering, bricklaying, carpentry, tiling, plumbing, and building, all while mastering core Construction Safety principles. Ideal for both newcomers and those enhancing their expertise, this course provides the foundational Construction Safety experience needed for a successful future in construction. Who is this course for? Construction Safety: Construction Safety This Construction Safety: Construction Safety Course is designed for those who work on construction sites. Requirements Construction Safety: Construction Safety To enroll in this Construction Safety: Construction Safety Course, students must fulfill the following requirements: Construction Safety: Good Command over English language is mandatory to enrol in our Construction Safety Course. Construction Safety: Be energetic and self-motivated to complete our Construction Safety Course. Construction Safety: Basic computer Skill is required to complete our Construction Safety Course. Construction Safety: If you want to enrol in our Construction Safety Course, you must be at least 15 years old. Career path Construction Safety: Construction Safety After completing this Construction Safety: Construction Safety Course, you could train on the job to become a qualified tradesperson or with experience, become a site supervisor, estimator or construction manager.

Security Management: Security Management Course Online Introducing Our Comprehensive Security Management: Security Management Course: Safeguarding Your Future In an increasingly complex and evolving world, the importance of security management cannot be overstated. Organisations of all sizes and industries are constantly facing new and sophisticated threats that put their assets, employees, and reputation at risk. That's why we are thrilled to present our exclusive Security Management: Security Management Course, designed to equip you with the knowledge, skills, and strategies to protect and secure your organisation effectively. Our Security Management: Security Management Course is meticulously crafted by industry experts who have years of practical experience in security management. We provide you with up-to-date knowledge and techniques to navigate the ever-changing landscape of threats and risks. Our instructors are seasoned professionals with extensive backgrounds in security management. They bring a wealth of knowledge, industry best practices, and insider tips to the classroom, offering you valuable mentorship and guidance throughout the Security Management: Security Management Course. If you want to learn about Security Management: Security Management Course and become an expert in the field, you have arrived at the right place. Main Course: Security Management Course Free Courses included with Security Management: Security Management Course Course 01: IT Security Course 02: Cyber Security Course 03: General Data Protection (GDPR) Course 04: Financial Advisor [ Note: Free PDF certificate as soon as completing the Security Management: Security Management Course] Security Management: Security Management Course Online This Security Management: Security Management Course consists of 10 modules. Course Curriculum of Security Management: Security Management Course Module 01: Importance of Security Module 02: Physical Security Management Module 03: The Use of Technology for Managing Security Module 04: Security Systems Integration Module 05: Crisis Management Module 06: Risk Management & Security Module 07: Cyber Security Tools & Techniques Module 08: Developing Cyber Security Policies Module 09: Conflict Management for Security Professionals Module 10: Handling Workplace Violence Assessment Method of Security Management: Security Management Course After completing Security Management: Security Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Security Management: Security Management Course After completing the Security Management: Security Management Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Security Management: Security Management Course Online This Security Management: Security Management Course is suitable for young people in schools or colleges. Requirements Security Management: Security Management Course Online To enrol in this Security Management: Security Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Security Management: Security Management Course. Be energetic and self-motivated to complete our Security Management: Security Management Course. Basic computer Skill is required to complete our Security Management: Security Management Course. If you want to enrol in our Security Management: Security Management Course, you must be at least 15 years old.

Strategic Management: Strategic Management Course Online Introducing Strategic Management: Strategic Management Course "Empowering the Next Generation" Online course! Strategic Management: Strategic Management Course involves the planning and implementation of the most important goals and initiatives taken by a corporation's top management on behalf of its owners, based on resource considerations and an assessment of the internal and external environments in which the organization competes. This Strategic Management: Strategic Management Course is designed to provide you the opportunity to gain a thorough understanding of strategic management. Through this Strategic Management: Strategic Management Course, you will learn how to develop a highly effective team, optimize better performance, deal with obstacles, fear, imposter syndrome and much more. Take the Strategic Management: Strategic Management Course to start learning the business strategy and strategy formulation skills you'll need to effectively map the future of your organization. Learning Outcomes After completing this Strategic Management: Strategic Management Course, learner will be able to: Understand The Middle: Where Transformations Either Happen or Stuck Understand how to develop highly effective team and optimize better performance Know how to face the unwanted circumstances wisely with courage and persistence Know how to lead a transformation rather than doing a transformation from the top [ Note: Free PDF certificate as soon as completing the Strategic Management: Strategic Management Course] rategic Management: Strategic Management Course Online This Strategic Management: Strategic Management Course consists of 04 modules. Course Curriculum of Strategic Management: Strategic Management Course Module 01: The Middle: Where Transformations Either Happen or Stuck Module 02: Developing Highly Effective Team and Optimising Better Performance Module 03: Facing The Unwanted Circumstances Wisely With Courage and Persistence Module 04: Leading a Transformation Rather Than Doing a Transformation From the Top Certification of Strategic Management: Strategic Management Course After completing the Strategic Management: Strategic Management Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Assessment Method of Strategic Management: Strategic Management Course After completing Strategic Management: Strategic Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Who is this course for? Strategic Management: Strategic Management Course Online This Strategic Management: Strategic Management Course is ideal for professionals whose jobs require strong strategic planning and problem-solving skills. Requirements Strategic Management: Strategic Management Course Online To enrol in this Strategic Management: Strategic Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Strategic Management: Strategic Management Course. Be energetic and self-motivated to complete our Strategic Management: Strategic Management Course. Basic computer Skill is required to complete our Strategic Management: Strategic Management Course. If you want to enrol in our Strategic Management: Strategic Management Course, you must be at least 15 years old. Career path Strategic Management: Strategic Management Course Online The knowledge you will gain through this Strategic Management: Strategic Management Course may lead you to a variety of career opportunities. Such as: Strategic Managers Strategy Analysts Strategic Planning Managers Business Analysts Operations Managers

The Entrepreneurship: From Business Idea to Action course helps you turn your ideas into real businesses. You will learn how to think like an entrepreneur, generate ideas, write a business plan, and understand what makes businesses succeed or fail. This course also covers fundraising, innovation, and sustainable entrepreneurship. It is easy to follow and gives you clear steps to start and grow your own venture. Course Curriculum ✓ Module 01: Introduction to Entrepreneurship ✓ Module 02: Entrepreneurship and Innovation ✓ Module 03: The Entrepreneurial Mindset ✓ Module 04: Introduction to Idea Generation ✓ Module 05: Business Models ✓ Module 06: Writing and Evaluating Business plan ✓ Module 07: Fundraising ✓ Module 08: The Reasons Why New Businesses Fail ✓ Module 09: Green Entrepreneurship: A Sustainable Development Challenge Learning Outcomes Understand the basics of entrepreneurship. Develop the mindset of a successful entrepreneur. Learn how to generate and shape business ideas. Understand different types of business models. Write and assess a business plan with confidence. Discover how to raise funds for your business. Know what common mistakes lead to business failure. Explore how innovation drives new ventures. Understand the importance of green entrepreneurship. Build a plan of action to launch your own business. Who is this course for? This course is for anyone who wants to start a business or has an idea and doesn’t know where to begin. It suits students, career changers, freelancers, and small business owners who want to learn simple steps to turn their ideas into action. Eligibility Requirements You don’t need any business background to join. If you have an idea or the drive to learn, you can start this course today. Career Path This course prepares you for a future in self-employment, small business ownership, or working in startups. You can become an entrepreneur, business consultant, innovation officer, or take on roles in venture creation and development. (Learn more about this online course)

Course Overview Having good observation skills is essential to become a proficient caregiver. Develop your observation abilities from the Observation Skills for Carers course. This is the perfect training program for both current and future professionals in this sector. From the Observation Skills for Carers course, you will receive a clear understanding of Child observation. The easy-to-follow modules will educate you on the process of planning and documenting child observation. In addition, you will enrich your knowledge of different methods and studies. The course will also cover lessons on social care observation and Clinical management observation. When you complete the final assessment, you will receive a certificate of achievement. This certificate will help you boost your resume. Start now!  Learning Outcomes Grasp a solid understanding of child observation Know the process of planning and documenting child observation Familiarise yourself with different observation methods and studies Build your expertise in social care observation  Explore the areas of clinical management observation Learn about basic health observation Assessment and Certification 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. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path This course will provide you with an in-depth understanding of the subject. On successful completion, you will have the skills, confidence and practical knowledge to fast-track a successful career in relevant sectors. Professions in this field include: Child Care Worker Healthcare Assistant Caregiver Social Worker

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Property Development and Management Bundle will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Property Development and Management Bundle will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Property Development and Management Bundle and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Property Development and Management Bundle is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Property Development and Management Bundle. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Property Development and Management Bundle will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Course 01: Property Management Introduction to Property Management 00:13:00 The Role and Responsibilities of a Property Manager 00:12:00 Listing Properties and Marketing 00:25:00 The Letting Process and Tenancy Agreement 00:31:00 The Property Management Process 00:33:00 Keeping Tenants Long Term 00:12:00 Regulations of Property Management 00:13:00 Changes in the UK Property Market: An Opportunity 00:13:00 Course 02: Estate Agent Diploma Module 1 - Estate Agent: An Introduction 00:21:00 Module 2 - Different Types of Estate Agents 00:16:00 Module 3 - Getting Started on the Job 00:16:00 Module 4 - Listing Property: Finding the Sellers 00:24:00 Module 5 - Valuation Process 00:21:00 Module 6 - Negotiating As an Estate Agent 00:13:00 Module 7 - Selling Property: Finding the Buyers 00:23:00 Module 8 - Letting Property 00:31:00 Module 9 - Technology for Estate Agents 00:22:00 Module 10 - Regulation of Estate Agents 00:14:00 Course 03: Real Estate Investment Training Introduction Introduction Super Real Estate Investing 00:11:00 Why Real Estate Continues to Be the Best Investment for Most People 00:13:00 Getting Amazing Deals On Properties How to buy houses for super cheap 00:21:00 How to use direct marketing to reach motivated sellers 00:16:00 How To Finance Real Estate Deals Secrets to financing all kinds of deals 00:17:00 Understanding Hard Money 00:07:00 More Hard Money Examples 00:11:00 How To Execute Effective Exit Strategies The best exit strategies in real estate 00:14:00 Secrets to wholesaling properties to other investors 00:14:00 Secrets to rehabbing the property and maximizing profit 00:07:00 Making Money With Tax Lien Certificates And Deeds Secrets to buying tax lien certificates and tax deeds 00:09:00 Building Wealth And Passive Income Through Rental Properties Buying and renting for maximum passive income 00:16:00 REI Secrets, Tips, and Tricks 00:13:00 More REI Secrets, Tips, and Tricks 00:11:00 Even more REI Secrets, Tips, and Tricks 00:09:00 Conclusion Conclusion Super Real Estate 00:06:00 Course 04: Property Developer Course Property Developer Background 00:30:00 The Basics 00:30:00 Housebuilders 00:30:00 Commercial Developers 00:30:00 The Development Process 00:30:00 Doing the Sums Introduction 00:30:00 Doing the Sums Residual Land Value Analysis 00:30:00 Conclusion 00:15:00 Property Development What is Property Development? 00:05:00 The Players in the Property Market 00:05:00 The Risks of Property Development 00:05:00 The Stages of a Property Development 00:05:00 Site Identification and Acquisition 00:05:00 Property Management 00:05:00 Property Management Selecting The Best Properties 00:05:00 Leasing Instead Of Selling 00:05:00 Buyers Interest 00:05:00 Be Zone Conscious 00:05:00 Home Loans 00:15:00 Knowing When You're Ready To Buy 00:15:00 Is Your Lake Home For Sale? 01:00:00 Living The Waterfront Lifestyle Every Day 00:05:00 How To Locate Waterfront Property Rentals 00:05:00 Real Estate Front 00:05:00 How To Maintain Waterfront Property 00:05:00 All About Real Estate Clients 00:05:00 Real Estate Evaluation 00:05:00 Are You Ready To Buy Your First Property? 00:05:00 Finding The Actual Real Estate For Sale 00:05:00 Home Shopping: The Smart Way 00:05:00 How Much Land Do You Need? 00:05:00 Real Estate Investments 00:05:00 Manufacturing Real Estate Numbers 00:05:00 Waterfront Real Estate 00:05:00 Purchasing A Home Beside A Lake 00:05:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. 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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

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