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Effective Human Resource Administration - Video Training Course is one of our best selling and most popular course. This course is suitable for anyone aspiring to or already working in the field of HR Management and looks at skills needed to improve workplace management. By taking this course you will gain the necessary skills to perform effectively in this field. The Effective Human Resource Administration - Video Training Course is organised into 40 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 16 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? The course is ideal for businesses who want to learn how to hire the right kind of people for their jobs, as well as job seekers wanting to understand the recruitment process in order to stand out. Career path Training offered by the Effective Human Resource Administration - Video Training Course could potentially benefit a range of roles, but would particularly enhance careers in HR Recruitment Finance Accounting Payroll Bookkeeping Office Administration Business Management Customer Service Other professional office roles Course Content Effective Human Resource Administration Overview Effective HR Administration 00:28:00 Fundamentals of Motivation Motivation - What is it 00:20:00 The Need Hierarchy 00:27:00 The Two-Factor Theory 00:29:00 The Practical Side of Rewards 00:34:00 Individual Behavior Opinions Really Count 00:08:00 The Individual 00:36:00 Interpersonal Behavior 00:24:00 Group Behavior Definition of a Group 00:13:00 Stages of Group Development 00:11:00 Intragroup Behavior 00:19:00 Intergroup Behavior 00:09:00 Team Building 00:42:00 The Informal Organization Nature of Informal Organization 00:34:00 Benefits of Informal Organization 00:09:00 Technology and People at Work The Evolution 00:21:00 Workplace Violence 00:26:00 Stressed Employees 00:14:00 Productivity and Quality Improvement Quality Challenges 00:13:00 Management 00:30:00 Participative Approaches 00:17:00 Job Redesign and Job Enrichment Work in America 00:09:00 Job Enrichment Principles 00:05:00 Challenges in Job Design 00:09:00 Fundamentals of Leadership Nature of Leadership 00:21:00 Common Behaviors 00:16:00 Contingency Leadership 00:22:00 The Next Decade 00:35:00 Internal Leaders 00:25:00 Developing, Appraising, and Rewarding Employees Integrating the Dimensions 00:20:00 Employee Development 00:27:00 Performance Appraisal 00:53:00 Communicating for Effectiveness Appraisal Problems 00:29:00 Technology's Impact 00:35:00 The Process 00:16:00 Managing Conflict and Change Effective Communications 00:33:00 Nature of Conflict 00:20:00 Nature of Change 00:25:00 Human Relations in Global Business Participation and Communication 00:13:00 Multinational Enterprise 00:22:00 Mock Exam Mock Exam- Effective Human Resource Administration - Video Training Course 00:20:00 Final Exam Final Exam- Effective Human Resource Administration - Video Training Course 00:20:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

The British Cleaning Certificate is designed for those interested in becoming a professional cleaner or starting a cleaning business. It includes hands-on instruction in cleaning procedures, chemical safety, housekeeping, kitchen maintenance, and much more. It also provides important knowledge on promoting your cleaning services, training employees, and engaging with clients. This course will teach you how to work safely and correctly with cleaning chemicals, as well as key procedures and guidelines for cleaning offices, new-build houses, pubs, leisure premises, hospitals, hotels, and commercial kitchens. You will also learn about cleaning contracts, employment prospects, and essential issues such as working hours, business insurance, taxes, and service quality. If you want to start a cleaning business from the start, then this British Cleaning Certificate course is jam-packed with tips and strategies for training employees, increasing your client list, promoting your business online, and creating the perfect business plan. Learn the skills you need to advance your career and receive a recognised qualification that will set you apart from clients and prospective employers. Learning Outcomes After completing this British Cleaning Certificate course, the learner will be able to: Understand the fundamentals of the cleaning job. Set a business budget and create a solid cleaning service business plan. Use a variety of commercial cleaning products, personal protective equipment, and cleaning equipment. Clean offices, pubs, new-build homes, leisure premises and commercial premises. Clean windows, dust surfaces, maintain carpets and hardwood floors. Understand the cleaning standards and regulations for commercial kitchens. Unclog drains, repair showerheads, remove mold, and create a bathroom cleaning routine. Satisfy the customer in the cleaning industry. Why Choose British Cleaning Certificate Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. British Cleaning Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the British Cleaning Certificate course. **Others Benefits of British Cleaning Certificate** PDF Certificate Free Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the British Cleaning Certificate course ] Detailed course curriculum *** British Cleaning Certificate *** Module 1: An Overview of the Cleaning Job What is the Job of a Cleaner? Role and Responsibilities of Cleaner Cleaner Skills and Qualifications How to Become a Cleaner Module 2: Different Cleaning Jobs Different Career Opportunities in the Cleaning Sector Cleaning Guidelines for New-build Homes, Pubs, and Offices Window Cleaning Training Tips for Cleaning Carpets and Upholstery Module 3: Understanding the Cleaning Equipment, Products and Clothing Learn about Different Commercial Cleaning Equipment and Products Tips on How to Store Equipment Tips on How to Remove Stains from Clothing and Iron Clothes Module 4: Understanding House Cleaning Cleaning Standards and Domestic Cleaning Techniques Different Dusting, Surface Cleaning, Mirror Cleaning Procedures How to Maintain Hardwood Floors Module 5: Cleaning: Food Kitchen and Commercial Kitchen How to Clean Microwaves How to Clean Ovens How to Clean Refrigerators How to Clean Sinks Module 6: Cleaning: Bathrooms and Toilets Overview of Equipment Required How to Unclog Drains How to Fix Showerheads How to Eliminate Mould How to Wash Shower Curtains Module 7: Cleaning: Office The Fundamental Principles of Office Cleaning Clean Up and Organise Rubbish to Procedures for Cleaning Staff Toilets, Desks, Lifts and Stairways Module 8: Cleaning: External Surfaces and Areas How to Use a Commercial Pressure Washer Identify Potential Safety Hazards During Cleaning Module 9: Cleaning: Handling Non-Routine Waste Explore Waste Management Principles How to Deal with PPE Explore Colour Coding Systems Module 10: Cleaning: Chemical Safety, Keyholding and Alarm Codes for Cleaners How to Use Chemical Correctly and Safely How to Store Chemical Products, Clean Chemical Storing What to Do at the Scene of a Chemical Accident Module 11: Planning for Starting a Cleaning Business What It Takes to Run a Cleaning Service How to Establish a Cleaning Business from Scratch Module 12: Ensuring Standard Service Different Aspects of Running a Cleaning Business, from Dealing with Staff Issues to Now Show Conduct and Ethics Module 13: Understanding Customer Satisfaction How to Satisfy the Customer in the Cleaning Industry How to Recognise Problems Before They Occur How to Deal with Client Complaints Module 14: Managing Staff Different Strategies for Staff Management How to Motivate and Reward Staff How to Conduct Interviews Module 15: The Ways of Marketing, Advertising and Sales How to Market a Cleaning Service How to Decide Locations and Offices to Target How to Advertise Your Services Online Module 16: Managing Growth Explore Business Growth Strategies and Retain Clients Payroll Management Training Assessment Method After completing each module of the British Cleaning Certificate 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 British Cleaning Certificate 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 British Cleaning Certificate course is ideal for anyone looking to start a career in the cleaning sector. It includes the following: Cleaning Supervisor Hotel Cleaner Office Cleaner School Cleaner Hospital Cleaner Requirements There are no specific requirements for British Cleaning Certificate course because it does not require any advanced knowledge or skills. Students who intend to enrol in British Cleaning Certificate course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path This British Cleaning Certificate Course will lead to a variety of career opportunities, some of which are listed below: Cleaner: £9.00 per hour Custodian: £12.00 per hour Housekeeper: £12.00 per hour Janitor: £10.00 per hour Certificates Certificate of completion Digital certificate - Included

The Level 5 British Cleaning is designed for those interested in becoming a professional cleaner or starting a cleaning business. It includes hands-on instruction in cleaning procedures, chemical safety, housekeeping, kitchen maintenance, and much more. It also provides important knowledge on promoting your cleaning services, training employees, and engaging with clients. This course will teach you how to work safely and correctly with cleaning chemicals, as well as key procedures and guidelines for cleaning offices, new-build houses, pubs, leisure premises, hospitals, hotels, and commercial kitchens. You will also learn about cleaning contracts, employment prospects, and essential issues such as working hours, business insurance, taxes, and service quality. If you want to start a cleaning business from the start, then this Level 5 British Cleaning course is jam-packed with tips and strategies for training employees, increasing your client list, promoting your business online, and creating the perfect business plan. Learn the skills you need to advance your career and receive a recognised qualification that will set you apart from clients and prospective employers. Learning Outcomes After completing this Level 5 British Cleaning course, the learner will be able to: Understand the fundamentals of the cleaning job. Set a business budget and create a solid cleaning service business plan. Use a variety of commercial cleaning products, personal protective equipment, and cleaning equipment. Clean offices, pubs, new-build homes, leisure premises and commercial premises. Clean windows, dust surfaces, maintain carpets and hardwood floors. Understand the cleaning standards and regulations for commercial kitchens. Unclog drains, repair showerheads, remove mold, and create a bathroom cleaning routine. Satisfy the customer in the cleaning industry. Run the business with quality service. Why Choose Level 5 British Cleaning Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Level 5 British Cleaning Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Level 5 British Cleaning course. **Others Benefits of Level 5 British Cleaning** Free One PDF Certificate Lifetime Access Unlimited Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Level 5 British Cleaning course ] Detailed course curriculum *** Level 5 British Cleaning *** Module 1: An Overview of the Cleaning Job What is the Job of a Cleaner? Role and Responsibilities of Cleaner Cleaner Skills and Qualifications How to Become a Cleaner Module 2: Different Cleaning Jobs Different Career Opportunities in the Cleaning Sector Cleaning Guidelines for New-build Homes, Pubs, and Offices Window Cleaning Training Tips for Cleaning Carpets and Upholstery Module 3: Understanding the Cleaning Equipment, Products and Clothing Learn about Different Commercial Cleaning Equipment and Products Tips on How to Store Equipment Tips on How to Remove Stains from Clothing and Iron Clothes Module 4: Understanding House Cleaning Cleaning Standards and Domestic Cleaning Techniques Different Dusting, Surface Cleaning, Mirror Cleaning Procedures How to Maintain Hardwood Floors Module 5: Cleaning: Food Kitchen and Commercial Kitchen How to Clean Microwaves How to Clean Ovens How to Clean Refrigerators How to Clean Sinks Module 6: Cleaning: Bathrooms and Toilets Overview of Equipment Required How to Unclog Drains How to Fix Showerheads How to Eliminate Mould How to Wash Shower Curtains Module 7: Cleaning: Office The Fundamental Principles of Office Cleaning Clean Up and Organise Rubbish to Procedures for Cleaning Staff Toilets, Desks, Lifts and Stairways Module 8: Cleaning: External Surfaces and Areas How to Use a Commercial Pressure Washer Identify Potential Safety Hazards During Cleaning Module 9: Cleaning: Handling Non-Routine Waste Explore Waste Management Principles How to Deal with PPE Explore Colour Coding Systems Module 10: Cleaning: Chemical Safety, Keyholding and Alarm Codes for Cleaners How to Use Chemical Correctly and Safely How to Store Chemical Products, Clean Chemical Storing What to Do at the Scene of a Chemical Accident Module 11: Planning for Starting a Cleaning Business What It Takes to Run a Cleaning Service How to Establish a Cleaning Business from Scratch Module 12: Ensuring Standard Service Different Aspects of Running a Cleaning Business, from Dealing with Staff Issues to Now Show Conduct and Ethics Module 13: Understanding Customer Satisfaction How to Satisfy the Customer in the Cleaning Industry How to Recognise Problems Before They Occur How to Deal with Client Complaints Module 14: Managing Staff Different Strategies for Staff Management How to Motivate and Reward Staff How to Conduct Interviews Module 15: The Ways of Marketing, Advertising and Sales How to Market a Cleaning Service How to Decide Locations and Offices to Target How to Advertise Your Services Online Module 16: Managing Growth Explore Business Growth Strategies and Retain Clients Payroll Management Training Assessment Method After completing each module of the Level 5 British Cleaning 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 Level 5 British Cleaning 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? Level 5 British Cleaning course is ideal for anyone looking to start a career in the cleaning sector. It includes the following: Cleaning Supervisor Hotel Cleaner Office Cleaner School Cleaner Hospital Cleaner Requirements There are no specific requirements for Level 5 British Cleaning course because it does not require any advanced knowledge or skills. Career path This Level 5 British Cleaning Course will lead to a variety of career opportunities, some of which are listed below: Cleaner: £9.00 per hour Custodian: £12.00 per hour Housekeeper: £12.00 per hour Janitor: £10.00 per hour Certificates Certificate of completion Digital certificate - Included

Explore the fascinating realm of Gerontology and Aging in our comprehensive course that delves into Psychological Insights. Uncover the intricacies of the aging process, cognitive changes, and emotional well-being in the elderly. Gain a deep understanding of life span development, social gerontology, and the interplay between aging and mental health. Join us to discover the keys to positive aging, navigate age-related changes, and explore the profound impact of aging on personality and society. Elevate your knowledge in Geriatric Psychology and embark on a journey to enhance the quality of life for the elderly. Enroll now for a transformative experience in Gerontology and Aging: Uncovering Psychological Insights.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Description:  Human Resource Management nowadays is not just about payroll and recruitment; it is also about being able to respond to customer's global needs rapidly. Our administrative, human resource management course provides you with the skills utilised by the experienced managers in the world of professional HR. With this course, you build up an expert discernment and knowledge to manage core HR issues. It also focuses on mechanics of organisational change and on to the competencies required to manage both people as well as processes. Who is the course for? This course would be ideal for individuals who want pursue a career in human management. Hr professionals who want to improve their management skills. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Professional Human Resource Management Training course is a useful qualification to possess, and would be beneficial for the following professionals: HR Administrator HR Assistant HR Advisor HR Manager HR Director Recruitment and Hiring Manager HR Consultant Training and Development Manager HR Executive. Understanding Human Resource Management Module One - Getting Started 00:30:00 Module Two - Human Resources Today 01:00:00 Module Three - Recruiting and Interviewing 01:00:00 Module Four - Retention and Orientation 01:00:00 Module Five - Following Up With New Employees 01:00:00 Module Six - Workplace Health & Safety 01:00:00 Module Seven - Workplace Bullying, Harassment, and Violence 01:00:00 Module Eight - Workplace Wellness 01:00:00 Module Nine - Providing Feedback to Employees 01:00:00 Module Ten - Disciplining Employees 01:00:00 Module Eleven - Terminating Employees 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Advanced Diploma in Human Resource Management 00:00:00 Employee Motivation Module One - Getting Started 01:00:00 Module Two - A Psychological Approach 01:00:00 Module Three - Object-Oriented Theory 01:00:00 Module Four - Using Reinforcement Theory 01:00:00 Module Five - Using Expectancy Theory 01:00:00 Module Six - Personality's Role in Motivation 01:00:00 Module Seven - Setting Goals 01:00:00 Module Eight - A Personal Toolbox 01:00:00 Module Nine - Motivation on the Job 01:00:00 Module Ten - Addressing Specific Morale Issues 01:00:00 Module Eleven - Keeping Yourself Motivated 00:30:00 Module Twelve - Wrapping Up 00:30:00 HR Management: Employee Motivation- Activities 00:00:00 Employee Onboarding Module One - Getting Started 00:30:00 Module Two - Purpose of Onboarding 01:00:00 Module Three - Introduction 01:00:00 Module Four - Onboarding Preparation 01:00:00 Module Five - Onboarding Checklist 01:00:00 Module Six - Creating an Engaging Program 01:00:00 Module Seven - Following Up with New Employees 01:00:00 Module Eight - Setting Expectations 01:00:00 Module Nine - Resiliency and Flexibility 00:30:00 Module Ten - Assigning Work 01:00:00 Module Eleven - Providing Feedback 01:00:00 Module Twelve - Wrapping Up 00:30:00 Employee Onboarding- Activities 00:00:00 HR Training Defining Human Resources 00:15:00 Performing a Skills Inventory 00:15:00 Forecasting Techniques 00:15:00 Job Analysis 00:00:00 Identifying Job Competencies 00:30:00 Position Profiles and Job Descriptions 00:30:00 Do You Really Need to Hire? 00:30:00 Finding Candidates HR 00:00:00 Advertising Guidelines HR 00:30:00 Screening Resumes HR 00:30:00 Preparing for the Interview 00:15:00 Conducting the Interview 01:00:00 After the Interview 00:15:00 Employee Orientation and Onboarding 00:30:00 Follow the Leader 00:15:00 Planning Training 00:15:00 Working With External Providers 00:15:00 Performance Reviews 01:00:00 Attendance Management 00:30:00 Managing a Diverse Workforce 00:30:00 Privacy Issues 00:15:00 Compensation and Benefits 01:00:00 Managing Disciplinary Issues 00:30:00 Terminating Employees 00:15:00 Exit Interviews 00:15:00 Mock Exam Mock Exam- Professional Human Resource Management Training 00:30:00 Final Exam Final Exam- Professional Human Resource Management Training 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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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

VAT & Tax Accounting Diploma - CPD Accredited with Free Certificate. Understanding how VAT and tax operate within the UK can feel like deciphering an ancient scroll—unless you’ve got the right guide. This UK VAT & Tax Accounting Diploma Course is designed to help learners grasp the essentials of the UK tax framework, with a clear focus on Value Added Tax, income assessments, record-keeping and the implications for businesses and individuals. Whether you’re looking to sharpen your knowledge for your current role or simply wish to be better informed, this course offers structured, easy-to-follow modules built to suit all levels of understanding. Through engaging and accessible materials, you’ll explore topics such as tax codes, HMRC protocols, VAT registration, returns, and digital record-keeping requirements. The course also sheds light on different tax categories and how they apply to various financial contexts. Ideal for self-learners, small business owners, or aspiring finance professionals, this flexible online learning path gives you the tools to feel confident when dealing with UK tax matters—minus the jargon or unnecessary fluff. Learning Outcomes of VAT & Tax Accounting Training Understand the core features of VAT & Tax Accounting and the UK legislation that governs it Learn how to work with VAT & Tax Accounting terminology and calculations Be aware of how VAT & Tax registration and rates work in business structures Know how to keep and maintain accurate invoicing and company TAX records Discover how to legally submit a TAX return and promptly pay outstanding bills Key Features of VAT & Tax Accounting Training CPD Certified VAT & Tax Accounting Training Instant access to information to VAT & Tax Accounting Training course materials Full participation in VAT & taxation calculation exercises Quick assessment and guidance for all VAT & Tax Accounting Training assignments CPD accreditation for proof of acquired skills and knowledge Freedom to study in any location and at a pace that suits you The Curriculum of VAT & Tax Accounting Training VAT Module 01: Understanding VAT Module 02: Terminology and Calculation Module 03: Taxable Persons Module 04: Registration Module 05: Rates Module 06: Invoicing and Records Module 07: Application in Goods, Services and Vehicles Module08: Supply Module09: The Return Module10: Tips on Compliance Module11: Exemptions and Zero-Rated VAT Module 12: Miscellaneous Issues and Penalties Module 13: Making Tax Digital Module 14: Assignment TAX Module 01: Tax System and Administration in the UK Module 02: Tax on Individuals Module 03: National Insurance Module 04: How to Submit a Self-Assessment Tax Return Module 05: Fundamentals of Income Tax Module 06: Advanced Income Tax Module 07: Payee, Payroll, and Wages Module 08: Value-Added Tax - VAT Module 09: Corporation Tax Module 10: Capital Gain Tax Module 11: Inheritance Tax Module 12: Import and Export Module 13: Double Entry Accounting Module 14: Management Accounting and Financial Analysis Module 15: Careers Accreditation of VAT & Tax Accounting Training This Introduction to VAT & Tax Accounting Training is CPD Certification Service Accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your VAT & Tax Accounting Training course, you will immediately be sent a digital certificate. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This VAT & Tax Accounting Training course is designed to provide a helpful guide to core concepts of Value-Added Taxation VAT and how it applies to business management and accountancy. As such, it offers an excellent way to gain the skills and knowledge needed to work in a financial management role or an associated position, Full-time and part-time learners are equally supported, and it can take just 20 to 30 hours to gain accreditation, with study periods entirely customisable to your needs. Requirements Learners do not require any prior qualifications to enroll in this course. Career path By completing the VAT & Tax Accounting Trainingcourse, you will gain a valuable understanding of business taxation and all associated areas. This will be highly beneficial training for those looking to work in Accountancy Business management TAX Accountant VAT and TAX Management Certificates Certificate of completion (HARDCOPY) Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each. Certificate of completion (PDF) Digital certificate - Included

Improve your accounting skills to perform a wide range of finance-related tasks by taking this Accountancy course. Through this course, you'll get a glimpse of how to perform your duties as an accountant, such as preparing financial statements and maintaining business records. The Accountancy course will thoroughly introduce you to the roles and responsibilities of a successful accountant. Here, you will gain valuable insights on accounting concepts and standards, double-entry bookkeeping, balance sheet, income statement, and financial statements. In addition, you'll learn to prepare cash flow statements and acquire knowledge of financial planning and budgeting. Finally, you'll learn the steps to a successful audit for error-free accounting processes. Learning Objectives Familiarise yourself with the roles and responsibilities of a successful accountant Learn about double-entry bookkeeping Enrich your knowledge of trial balance Learn to prepare income statements, financial statements and cash flow statements Gain the essential skills in financial budgeting and planning Know about the types of audits Who is this Course for? This introductory course is ideal for aspiring professionals who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no accounting knowledge or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course. However, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successful completion of the Accountancy course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Accounts Assistant Accounts Payable & Expenses Supervisor Accounts Payable Clerk Audit Trainee Payroll Administrator / Supervisor Tax Assistant / Accountant. Accounting Clerk Auditing Clerk Accounts Receivable Clerk Course Curriculum Module 01: Introduction to Accounting Introduction to Accounting 00:15:00 Module 02: The Role of an Accountant The Role of an Accountant 00:16:00 Module 03: Accounting Concepts and Standards Accounting Concepts and Standards 00:22:00 Module 04: Double-Entry Bookkeeping Double-Entry Bookkeeping 00:23:00 Module 05: Balance Sheet Balance Sheet 00:21:00 Module 06: Income statement Income statement 00:19:00 Module 07: Financial statements Financial statements 00:27:00 Module 08: Cash Flow Statements Cash Flow Statements 00:17:00 Module 09: Understanding Profit and Loss Statement Understanding Profit and Loss Statement 00:17:00 Module 10: Financial Budgeting and Planning Financial Budgeting and Planning 00:28:00 Module 11: Auditing Auditing 00:17:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00