2713 Courses

Course Overview: Explore the dynamic world of financial compliance and embark on a journey towards a rewarding career with our Certified Anti Money Laundering Specialist (CAMS) Diploma. In an era where financial crimes are on the rise, this course equips you with the knowledge and skills to combat money laundering effectively. With staggering statistics revealing that illicit money flows account for 2-5% of global GDP (United Nations Office on Drugs and Crime), there is an urgent need for qualified professionals to tackle this menace head-on. This Certified Anti-Money Laundering Specialist (CAMS) Diploma is a game-changer in the fight against financial crime. As businesses navigate complex regulatory landscapes, the demand for CAMS-certified specialists is soaring, offering promising job opportunities and career growth. Recent reports indicate that CAMS professionals can command an average salary of £50,000 annually in the UK. Take the first step towards a rewarding career in financial compliance and join our Certified Anti Money Laundering Specialist (CAMS) Diploma course today. Key Features of the Course: CPD Certificate: Upon successful completion, you'll earn a prestigious Continuing Professional Development (CPD) certificate, validating your expertise in the field. 24/7 Learning Assistance: Our dedicated support team is available round-the-clock to ensure your learning experience is seamless and enjoyable. Who is This Course For? This Certified Anti Money Laundering Specialist (CAMS) Diploma is ideal for finance professionals, compliance officers, auditors, and anyone seeking a fulfilling career in the finance sector. No prior experience is required; all you need is a passion for combating financial crime and upholding the integrity of financial systems. What You Will Learn: Throughout this comprehensive Certified Anti Money Laundering Specialist (CAMS) Diploma, spanning multiple modules, you will develop an in-depth understanding of anti-money laundering principles and practices. Starting with an introduction to the course, you'll dive into the meaning of money laundering and the crucial role of responsibility and oversight. The course further delves into risk-based approaches, customer due diligence, and crucial skills for detecting and preventing illicit activities. You'll explore suspicious activity reporting and the importance of robust record-keeping. Training and awareness modules will equip you to educate others in the fight against money laundering. Additionally, the course includes legislative summaries, insights into outsourcing and client verification, and an understanding of decisions and risk factors. Why Enrol in This Course: Enrolling in this Certified Anti Money Laundering Specialist (CAMS) Diploma provides a multitude of benefits, making it the top choice for aspiring professionals. It is a highly reviewed and well-received program and stays updated with the latest trends and industry best practices. The knowledge and skills gained here are relevant and in demand, making you a valuable asset to any organisation. Requirements: No specific prerequisites are needed for this course. We welcome individuals from all backgrounds who are eager to make a positive impact in the world of finance. Career Path: Upon completing the Certified Anti Money Laundering Specialist (CAMS) Diploma, you open doors to a range of lucrative career opportunities in the UK, including Anti Money Laundering Analyst, Compliance Officer, Risk Manager, Financial Investigator, Fraud Analyst, Regulatory Affairs Specialist, and Financial Crime Consultant, each with a potential average salary of £50,000 per annum. Certification: After successfully mastering the modules and passing the assessments, you'll receive a CPD certificate, recognised globally and highly valued by employers, showcasing your expertise in anti-money laundering practices. Course Curriculum 3 sections • 15 lectures • 07:20:00 total length •Module 1: Introduction to the Course: 00:30:00 •Module 2: Definition of Money Laundering: 00:30:00 •Module 3: Responsibility & Oversight: 00:45:00 •Module 4: Risk Based Approach: 00:30:00 •Module 5: Customer Due Diligence (CDD): 01:00:00 •Module 6: Suspicious Activity Reporting: 01:00:00 •Module 7: Record Keeping: 00:15:00 •Module 8: Training and Awareness: 00:20:00 •Module 9: GLOSSARY: 00:30:00 •Module 10: Legislative Summaries - Proceeds of Crime Act 2002: 00:15:00 •Module 11: Outsourcing, Subcontracting and Secondments: 00:20:00 •Module 12: Client Verification: 00:15:00 •Module 13: Decisions and Risk Factors: 00:30:00 •Mock Exam - Certified Anti Money Laundering Specialist (CAMS) Diploma: 00:20:00 •Final Exam - Certified Anti Money Laundering Specialist (CAMS) Diploma: 00:20:00

When it comes to writing a research paper, the discussion chapter is where the magic happens. It's not just about presenting your findings; it's about showcasing them in a way that resonates with your audience. You want to take your readers on a journey through your research, helping them understand not just the results but their significance as well. In this article, I’ll share some essential tips on how to effectively showcase your research in the discussion chapter, ensuring that your hard work gets the recognition it deserves. Understanding the Discussion Chapter Definition and Role So, what exactly is the discussion chapter? Think of it as the heart of your research paper. Here, you interpret and analyze your results, linking them back to your research questions. It’s the section where you reveal the implications of your findings and discuss their relevance in the broader context of your field. If you’re wondering how to navigate this crucial part, check out our guide on How To Write a Dissertation Discussion for a detailed approach. Differences from Other Chapters Unlike the results chapter, which focuses on presenting data, the discussion is where you dive deeper into what those results mean. It’s about connecting the dots and making sense of the numbers. You’re not just stating what you found; you’re telling a story about why it matters. Structuring Your Discussion Organizing Key Points A well-structured discussion is crucial for effectively showcasing your research. Start by organizing your key points logically. This might mean discussing each research question in turn or grouping findings by theme. Whatever structure you choose, ensure it flows naturally from one point to the next. Using Subheadings Don’t underestimate the power of subheadings. They guide your reader through your discussion, making it easier to follow your train of thought. Subheadings also break up the text, making your discussion more visually appealing. Interpreting Your Findings Analyzing Results Now comes the fun part: interpreting your findings. Take a close look at your results and analyze them thoroughly. What trends do you see? Are there any surprising outcomes? This is your chance to showcase your critical thinking skills and provide insights that go beyond the data. Linking to Research Questions Always link your interpretations back to your research questions. This creates a cohesive narrative and reinforces the significance of your work. By showing how your findings answer these questions, you strengthen your argument and highlight the relevance of your research. Contextualizing Your Research Comparing with Previous Studies To truly showcase your research, it’s essential to place it within the context of existing literature. Compare your findings with previous studies and discuss how they align or diverge. This not only shows your understanding of the field but also underscores the contributions your research makes to the ongoing conversation. Highlighting Unique Contributions Don’t be shy about highlighting what makes your research unique. What new perspectives or insights do you bring to the table? By emphasizing these contributions, you demonstrate the value of your work and why it deserves attention. Discussing Implications Practical Applications What can your findings be used for in the real world? Discussing practical applications is a great way to showcase the impact of your research. Whether it’s informing policy decisions, guiding future research, or improving practices in your field, make sure to highlight these implications. Theoretical Implications In addition to practical applications, consider the theoretical implications of your research. How does it contribute to existing theories or frameworks? Discussing these implications can elevate your work and showcase your understanding of the broader context. Addressing Limitations Acknowledging Weaknesses Every research project has its limitations. Acknowledging these weaknesses shows integrity and a nuanced understanding of your work. Discuss what limitations might affect the interpretation of your results and how they could be addressed in future research. Suggestions for Future Research Don’t just stop at acknowledging limitations—offer suggestions for future research. What questions remain unanswered? What directions could future studies take? This not only demonstrates your critical thinking but also positions your work as a stepping stone for others. Using Visual Aids Charts and Graphs Visual aids can be a powerful tool for showcasing your research. Use charts, graphs, or tables to present your data in a way that’s easy to understand. Visuals can help highlight key findings and make complex information more digestible. Effective Data Presentation Ensure that your visuals are clear and well-labeled. A confusing graph can detract from your discussion rather than enhance it. Take the time to present your data effectively, and your readers will appreciate the effort. Incorporating Feedback Utilizing Peer Reviews Feedback from peers can be invaluable when writing your discussion chapter. Don’t hesitate to seek out input from colleagues or mentors. Their insights can help you refine your arguments and enhance the clarity of your writing. Adjustments Based on Critiques Once you receive feedback, be open to making adjustments. Sometimes, outside perspectives can reveal blind spots in your reasoning or highlight areas for improvement that you might not have considered. Engaging Your Audience Writing Style and Tone Your writing style plays a significant role in engaging your audience. Aim for a conversational tone that invites readers in. Avoid jargon where possible, and strive for clarity in your explanations. Rhetorical Questions for Engagement Using rhetorical questions can be an effective way to engage your readers. It prompts them to think critically about the points you’re making and can make your discussion feel more interactive. Proofreading and Editing Importance of Clarity Once you’ve drafted your discussion, take the time to proofread and edit. Clarity is key; a well-written discussion is much easier to follow. Check for grammatical errors, awkward phrasing, and ensure your arguments flow logically. Common Mistakes to Avoid Watch out for common pitfalls, such as over-explaining or being too vague. Aim for a balance that conveys your insights without overwhelming your reader. Conclusion In conclusion, showcasing your research in the discussion chapter is all about clarity, context, and engagement. By structuring your discussion thoughtfully, interpreting your findings, and addressing limitations, you can effectively communicate the significance of your research. Remember, this is your chance to shine and demonstrate the value of your hard work. FAQs What is the purpose of the discussion chapter? The discussion chapter interprets the results of your research, linking them back to your research questions and placing them in the context of existing literature. How do I interpret my findings effectively? Analyze your results, identify trends, and connect them back to your research questions to demonstrate their significance. Should I include limitations in my research? Yes, acknowledging limitations shows integrity and a nuanced understanding of your work. It also opens up avenues for future research. How can I make my discussion engaging? Use a conversational tone, incorporate rhetorical questions, and structure your arguments clearly to keep your audience interested. What are common pitfalls to avoid in this chapter? Be cautious of over-explaining, using jargon, or failing to connect your findings back to your research questions.

Overview The growing global health and wellness industry, valued at $4.5 trillion, has witnessed an increased demand for professionals trained in the ancient art and science of baby massage. This course, Baby Massage, is meticulously designed to meet industry demands and equip learners with the knowledge and skills necessary to excel in this rewarding profession. The course curriculum includes Meridian Theory, Pediatric Massage, various massage techniques, acupoints for babies and children, and much more. It comprises modules such as 'Introduction to Pediatric Massage,' 'Meridian Theory Introduction,' and various techniques and protocols in Traditional Chinese Medicine (TCM) Pediatric Massage.Transform your passion into a profession. Enrol now in the Baby Massage course and take the first step towards a fulfilling career in the health and wellness industry. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Baby Massage. It is available to all students, of all academic backgrounds. Requirements Our Baby Massage is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 53 lectures • 01:23:00 total length •01 - EAMFC - Baby Massage Marketing final: 00:03:00 •02 - EAMFC - Meridian Theory Introduction 2020: 00:04:00 •03 - EAMFC - Introduction to Pediatric Massage 2020: 00:01:00 •03 - 1 - EAMFC - TCM Paediatric Massage Protocol 2020: 00:01:00 •03 - 2 - EAMFC - Massage For Immunity Strengthening 2020: 00:03:00 •03 - 3 - EAMFC - Massage For Night Sweating 2020: 00:03:00 •03 - 4 - EAMFC - Massage For Stomach-ache 2020: 00:03:00 •03 - 5 - EAMFC - Massage For Constipation 2020: 00:02:00 •03 - 6 - EAMFC - Massage For Sinusitis 2020: 00:03:00 •03 - 7 - EAMFC - Massage for Imsomnia 2020: 00:04:00 •04 - EAMFC - Meridian Flows 2020: 00:07:00 •04 - 1 - EAMFC - Pushing Manipulation Technique 2020: 00:03:00 •04 - 2 - EAMFC - Arc Manipulation Technique 2020: 00:01:00 •04 - 3 - EAMFC - Kneeding Manipulation Technique 2020: 00:02:00 •04 - 4 - EAMFC - Pinching Manipulation Technique 2020: 00:02:00 •04 - 5 - EAMFC - Pressure Manipulation Technique 2020: 00:01:00 •04 - 6 - EAMFC - Rubbing Manipulation Technique 2020: 00:01:00 •04 - 7 - EAMFC - Stroking Manipulation Technique 2020: 00:02:00 •04 - 8 - EAMFC - Wiping Manipulation Technique 2020: 00:01:00 •05 - 0 - EAMFC - Introduction to Baby and Child Acupoints 2020: 00:01:00 •05 - 1 - EAMFC - Da zhui GV14 2020: 00:01:00 •05 - 2 - EAMFC - Lung Shu BL13 2020: 00:01:00 •05 - 3 - EAMFC - Spleen shu BL20 2020: 00:01:00 •05 - 4 - EAMFC - Kidney Shu BL 23 2020: 00:01:00 •05 - 5 - EAMFC - Spinal Column 2020: 00:02:00 •05 - 6 - EAMFC - QI Jie Gu2020 - Copy: 00:01:00 •05 - 7 - EAMFC - Stomach 2020: 00:01:00 •05 - 8 - EAMFC - Shan zhong CV17 2020: 00:01:00 •05 - 9 - EAMFC - Zhongwan CV 12 2020: 00:01:00 •05 - 10 - EAMFC - Tianshu ST 25 2020: 00:01:00 •05 - 11 - EAMFC - Xue hai (Bai chong) SP10 2020: 00:01:00 •05 - 12 - EAMFC - Zu San Li ST 36 2020: 00:01:00 •05 - 13 - EAMFC - San yin jiao SP 6 2020: 00:01:00 •05 - 14 - EAMFC - Yong quan KI 1 2020: 00:01:00 •05 - 15 - EAMFC - Liver Channel 2020: 00:01:00 •05 - 16 - EAMFC - Heart Channel 2020: 00:01:00 •05 - 17 - EAMFC - Spleen Channel 2020: 00:01:00 •05 - 18 - EAMFC - Lung Channel 2020: 00:01:00 •05 - 19 - EAMFC - Kidney Channel 2020: 00:01:00 •05 - 20 - EAMFC - Shen Ding - Tip of Kidney 2020: 00:01:00 •05 - 21 - EAMFC - Large intestine Channel 2020: 00:01:00 •05 - 22 - EAMFC - Ban men 2020: 00:01:00 •05 - 23 - EAMFC - Tianheshui - The Milky Way 2020: 00:01:00 •05 - 24 - EAMFC - Liu Fu - The Six Fu Visceral 2020: 00:01:00 •05 - 25 - EAMFC - Baihui GV 20 2020: 00:01:00 •05 - 26 - EAMFC - Yintang EX HN 3 2020: 00:01:00 •05 - 27 - EAMFC - Kan Gon 020: 00:01:00 •05 - 28 - EAMFC - Tianmen - Heaven Gate 2020: 00:01:00 •05 - 29 - EAMFC - Taiyang 2020: 00:01:00 •05 - 30 - EAMFC - Yingxiang LI 20 2020: 00:01:00 •05 - 31 - EAMFC - Ren zhong - The Philtrum GV 26 2020: 00:01:00 •05 -32 - EAMFC - Stomach Rubbing 2020: 00:01:00 •06 - 1 - EAMFC - Do and Don't 2020: 00:02:00

Overview This comprehensive course on Financial Modelling for Decision Making and Business plan will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Modelling for Decision Making and Business plan comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Financial Modelling for Decision Making and Business plan. It is available to all students, of all academic backgrounds. Requirements Our Financial Modelling for Decision Making and Business plan is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 4 sections • 19 lectures • 03:20:00 total length •Introduction to the course: 00:02:00 •Introducton to the Business Priocess: 00:03:00 •What is Financial Modelling: 00:08:00 •Starting Point of a Financial Model: 00:04:00 •First Steps before Starting to create Financial Model and Linking Business Model: 00:07:00 •Starting with End in Mind-Comparative P&L: 00:13:00 •Customer Acquisition Model: 00:16:00 •Revenue and Cost Models: 00:22:00 •Adding Product and Modelling Labour and Other Costs: 00:21:00 •Modelling Capital Investments and ROI Calc: 00:10:00 •Detailed Customer Acquisition Model and Revenue Model: 00:17:00 •Cost of Sale Model: 00:08:00 •Modelling Labour Cost: 00:07:00 •Modelling Other Operating Expenses: 00:14:00 •Modelling Income Statement and Cash Flows: 00:27:00 •Modelling Balance Sheet: 00:14:00 •Fixing the Error in Financial Model and Brief of RR: 00:07:00 •Financial Model for Business plan for New Business: 00:00:00 •Assignment - Financial Modelling for Decision Making and Business plan: 00:00:00

Overview This comprehensive course on Quality Management and Strategic Training - ISO 9001 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Quality Management and Strategic Training - ISO 9001 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Quality Management and Strategic Training - ISO 9001. It is available to all students, of all academic backgrounds. Requirements Our Quality Management and Strategic Training - ISO 9001 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 13 sections • 85 lectures • 08:37:00 total length •Course Structure: 00:07:00 •What is Quality: 00:02:00 •What is ISO: 00:08:00 •What is a System - Management System: 00:02:00 •What is Policy - Quality Policy: 00:06:00 •What is Vision, Mission & Strategy: 00:03:00 •QA Vs QC: 00:06:00 •Effectiveness Vs Efficiency: 00:06:00 •Verification Vs Validation: 00:11:00 •Conformity Vs Nonconformity Vs Defect: 00:04:00 •Correction Vs Corrective Action Vs Preventive Action: 00:08:00 •Risk & Preventive Action: 00:06:00 •What is Competence: 00:03:00 •What is the Context of the Organization: 00:05:00 •Who are the Interested parties: 00:03:00 •What are the Needs & expectations: 00:05:00 •Management System Requirements: 00:01:00 •Who is a customer: 00:02:00 •What is Customer Satisfaction: 00:06:00 •Product Vs Service Vs Process: 00:05:00 •Document Vs Record: 00:06:00 •What is Customer Complaint: 00:02:00 •Measuring Vs Monitoring Vs Performance: 00:02:00 •Who is Responsible: 00:12:00 •Responsibility Vs Accountability: 00:02:00 •Quality Management Principles: 00:17:00 •ISO 9001:2015 Core Concepts: 00:08:00 •Major terminology Differences: 00:04:00 •Documented Information: 00:07:00 •Major changes - Organizational Knowledge: 00:05:00 •Major changes - Risk Based Thinking: 00:06:00 •Process Approach Concept-1: 00:04:00 •What is PDCA: 00:05:00 •Process Approach Concept-2: 00:03:00 •Process Approach in ISO 9001:2015: 00:04:00 •Key Benefits: 00:07:00 •PDCA in ISO 9001 2015: 00:10:00 •Understanding the Organization and its Context: 00:08:00 •Internal & External issues: 00:03:00 •SWOT Analysis: 00:06:00 •Interested Parties & their Needs & Expectations: 00:03:00 •KANO Model: 00:10:00 •Understanding the context - Summary: 00:08:00 •Choosing your Strategic Objective: 00:05:00 •Strategic Map Examples-1: 00:03:00 •Strategic Planning Process: 00:06:00 •What is a Vision: 00:06:00 •How to Create a Vision Statement: 00:08:00 •What is a Mission: 00:06:00 •SMART GOAL: 00:06:00 •SMART Goal Example: 00:04:00 •Strategic Map Examples-2: 00:10:00 •Context Chapter Summary: 00:07:00 •Quality Objectives & Planning: 00:05:00 •ISO & SMART: 00:02:00 •Objectives Origin: 00:06:00 •Objectives Examples: 00:07:00 •Goal Vs Objective-1: 00:07:00 •Goal Vs Objective Example: 00:02:00 •Goal Vs Objective-2: 00:10:00 •Performance Evaluation in ISO 9001:2015: 00:10:00 •Customer Satisfaction: 00:06:00 •Analysis & Evaluation: 00:12:00 •Key Performance Indicators: 00:08:00 •Dashboard Examples: 00:07:00 •Management Review Meetings: 00:11:00 •Improvement: 00:16:00 •Nonconformity & Corrective Action: 00:06:00 •Nonconformity & Corrective Action Example: 00:06:00 •Nonconformity & Corrective Action Origin: 00:06:00 •Continual Improvement: 00:01:00 •Analysis Mindset: 00:09:00 •Quantitative Vs Qualitative: 00:16:00 •Now What?: 00:11:00 •Course Summary: 00:10:00 •SIPOC: 00:06:00 •Flowcharts: 00:04:00 •Control Charts: 00:04:00 •Cause and Effect Diagram: 00:06:00 •Pareto Chart: 00:07:00 •5 WHYs: 00:03:00 •Other Tools: 00:08:00 •Finally!: 00:01:00 •Bonus Lecture: 00:02:00 •Assignment - Quality Management and Strategic Training - ISO 9001: 00:00:00

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Are you fascinated by risk, probability and financial security? Do you want to dive deep into the world of actuarial science? Our comprehensive course covers everything from basic deterministic models to stochastic life contingencies. You'll gain a thorough understanding of principles of premium calculation, taxation and inflation, and multiple decrement theory. The demand for qualified actuaries is on the rise, as businesses increasingly rely on data-driven insights to make informed decisions. According to the Bureau of Labor Statistics, the employment of actuaries is projected to grow by 18% from 2020 to 2030, much faster than the average for all occupations. The actuarial industry presents a plethora of exciting opportunities for individuals who are passionate about risk management, financial planning, and statistical analysis. As an actuary, you can enjoy a fulfilling career that combines your love for mathematics with your desire to make a positive impact on society. Learning outcomes: Gain a solid understanding of actuarial science principles and concepts Understand the stochastic approach to insurance and annuities Learn to value cash flows and apply probabilistic models Acquire knowledge of life tables, life annuities and life insurance Explore individual risk models and principles of premium calculation Develop skills in multiple decrement theory and profit testing Our Actuary course is designed for those with a keen interest in the theoretical aspects of finance and risk management. You'll learn from industry experts about topics ranging from basic models to complex stochastic approaches. Our course modules provide a comprehensive foundation of actuarial science concepts, including the valuation of cash flows, life tables, life annuities, and life insurance. Through our structured approach, you will learn to apply probabilistic models and gain an understanding of taxation and inflation in the context of actuarial science. Our course content is presented in a concise and easy-to-understand manner, allowing you to build your knowledge gradually and confidently. As an actuary, you can work for insurance companies, consulting firms, government agencies, or financial institutions, depending on your area of interest. You can also specialise in various subfields, such as health insurance, reinsurance, or risk management, and work with clients from diverse industries. So, if you are looking for a challenging and rewarding career that offers ample opportunities for growth and advancement, the actuarial industry may be the perfect fit for you! Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students with a background in mathematics, statistics, or finance Professionals in the insurance and finance industries looking to expand their knowledge Individuals with a strong interest in actuarial science and financial risk management Anyone seeking a career in actuarial science Career path Actuary (£35,000 - £100,000+) Risk analyst (£20,000 - £60,000) Investment analyst (£25,000 - £65,000) Insurance underwriter (£22,000 - £70,000) Pension scheme actuary (£35,000 - £100,000+) Finance manager (£25,000 - £70,000)

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Starting a small business can be a rewarding journey, but it requires careful planning and the right strategies to succeed. From creating a solid business plan to organizing finances and finding the right support, this guide will help you establish a foundation for a thriving business. For entrepreneurs in Calgary, key resources like reliable bookkeeping services can make a significant difference. Here’s how to start a small business and set it up for lasting success. Developing a business plan A clear, well-researched business plan serves as a roadmap for your business. It outlines your goals, target market, competitive advantage, and financial projections. This plan will also help attract investors or secure loans. To create an effective business plan: Define your mission and vision: Explain why your business exists and what you aim to achieve. Identify your target audience: Determine who your customers are and what problems your business will solve for them. Analyze competitors: Study your competitors to understand what they offer and find ways to differentiate your business. Set realistic financial projections: Estimate costs, revenue, and profits. This will give potential investors confidence in your business. Choosing a business structure Selecting the right business structure is essential, as it affects your taxes, liability, and daily operations. Common options include: Sole proprietorship: Simple to set up, with minimal paperwork, but offers no separation of personal and business liability. Partnership: Ideal for two or more owners, allowing shared responsibilities, but partners share liabilities. Corporation: Provides liability protection, but involves more paperwork and regulatory requirements. LLC (Limited Liability Company): Offers liability protection without the complexity of a corporation. Choose a structure that best suits your needs, and consult a legal professional to ensure compliance with Calgary’s business regulations. Securing funding Most small businesses require some level of funding to get started. Consider various financing options to find the best fit: Personal savings or family support: Often the first source of funding for many entrepreneurs. Business loans: Many banks offer small business loans with varying interest rates. Grants and government programs: Explore government grants and programs specifically designed to support small businesses in Calgary. Angel investors or venture capital: For businesses with high growth potential, attracting investors may be an option. Registering your business To operate legally, you’ll need to register your business. This process involves choosing a unique name, filing the necessary documents, and obtaining a business license in Calgary. You may also need specific permits depending on your industry. Completing these steps ensures that your business complies with all local regulations. Organizing your finances Managing finances effectively is crucial for any small business. Accurate bookkeeping keeps your business organized, tracks income and expenses, and prepares you for tax season. Many small businesses in Calgary choose to hire a bookkeeper in Calgary to handle these responsibilities, allowing owners to focus on growth. Working with one of the best bookkeeping services in Calgary can provide: Accurate financial records: Professional bookkeepers help maintain up-to-date records, which is essential for financial health. Compliance with tax laws: Calgary’s best bookkeeping services are familiar with local tax regulations, ensuring that you file correctly and on time. Insights for decision-making: With accurate records, you can make informed decisions on budgeting, spending, and investments. Creating a strong brand identity Building a brand that resonates with your target audience is essential. Your brand identity includes your business name, logo, colors, and messaging, as well as the experience you offer customers. Developing a consistent brand identity sets you apart from competitors and builds trust with customers. Here are some steps to create a strong brand identity: Design a logo and visual theme: Choose a professional logo, color scheme, and design elements that reflect your brand’s personality. Develop a unique brand voice: Whether it’s friendly, professional, or playful, keep your brand voice consistent in all communications. Focus on customer experience: Aim to provide exceptional service that keeps customers coming back and sharing their positive experiences. Building an online presence In today’s digital world, an online presence is crucial for reaching potential customers. Start by creating a professional website where customers can learn more about your products or services. Next, consider establishing a presence on social media platforms that suit your audience. Key components of a strong online presence include: User-friendly website: Make sure your website is easy to navigate, mobile-friendly, and includes essential information about your business. Social media profiles: Engage with customers and share updates on platforms like Facebook, Instagram, or LinkedIn. Google My Business: Setting up a Google My Business profile helps customers in Calgary find you more easily. Building a support network Running a small business can be challenging, and having a network of support is invaluable. Surround yourself with people who can provide advice, resources, and encouragement. Consider these ways to build a support network: Join local business associations: Groups like the Calgary Chamber of Commerce offer networking opportunities, resources, and workshops. Seek mentorship: Experienced business owners can offer guidance and insights that help you avoid common pitfalls. Hire professionals for specialized tasks: For financial and legal matters, work with professionals like accountants, lawyers, and bookkeepers. Tracking progress and making adjustments As your business grows, it’s essential to review your progress and adjust your strategies. Regularly assessing financial performance, customer feedback, and market trends can help you refine your approach and stay competitive. Working with one of the best bookkeeping services in Calgary can make tracking your financial performance much easier, giving you insight into profit margins, cash flow, and budgeting. Consider these strategies for tracking progress: Set measurable goals: Establish specific goals for growth, such as revenue targets or customer acquisition numbers. Analyze performance data: Use financial statements, sales reports, and customer feedback to assess performance. Stay flexible: Be willing to make changes to products, services, or marketing strategies if they aren’t meeting customer needs. Conclusion Starting a small business takes effort, planning, and ongoing management. By creating a solid business plan, organizing your finances, and developing a strong brand, you can set your business up for success. In Calgary, many new business owners choose to hire a bookkeeper in Calgary to ensure accurate financial management and stay compliant with local regulations. Taking advantage of the best bookkeeping services in Calgary can free up your time, allowing you to focus on growing your business and achieving long-term success. With dedication and the right strategies, your small business can thrive in today’s competitive market.

Overview Delve into the world of flowers and their profound language with the 'Floristry Academy Diploma'. This course offers a comprehensive journey through the enchanting universe of floristry, from the basics of flower care to the intricacies of design. Whether you're a budding enthusiast or a fervent flower lover, this curriculum provides the expertise to transform your passion into artistry. As the cycle of life unfolds, flowers stand as timeless witnesses to joy, love, and remembrance. This diploma not only immerses you in the world of floral designs for celebrations and solemn occasions but also imparts the know-how to bloom into a successful career. Learning Outcomes: Understand the fundamentals of floristry, including flower care, treatment, and popular choices. Master the elements and principles of floral design, with an emphasis on arrangement techniques. Develop proficiency in crafting diverse floral compositions including bouquets, corsages, and basket gardens. Gain insights into special occasion floristry, such as weddings and funerals. Acquire the necessary knowledge to either secure a role in the floristry industry or launch your own business. Why buy this Floristry Academy Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Floristry Academy Diploma there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Aspiring florists aiming to hone their skills and knowledge. Individuals looking to start their own floristry enterprise. Hobbyists keen to enhance their floral arrangement abilities. Event planners wishing to integrate floristry into their service offerings. Couples or families eager to craft their own floral designs for occasions. Prerequisites This Floristry Academy Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Floristry Academy Diploma was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Floral Designer: £20,000 - £28,000 per annum Wedding Florist: £22,000 - £30,000 per annum Retail Florist Manager: £23,000 - £31,000 per annum Floral Event Coordinator: £24,000 - £32,000 per annum Floristry Business Owner: £25,000 - £40,000 per annum (varies based on success) Floral Instructor: £21,000 - £27,000 per annum Course Curriculum Floristry Academy Diploma Introduction to Floristry 00:21:00 Services Provided by Florists 00:21:00 Flowers and Plants 01:08:00 Flower Care and Treatment 00:36:00 Choosing Popular Flowers and Fillers 00:54:00 Elements and Principles of Design 00:54:00 How to Make Floral Arrangements 01:04:00 Making Bouquet, Corsage, Fruit Basket & Basket Garden 00:35:00 Wedding Floristry 00:10:00 Making Funeral Flower Arrangements 00:31:00 Beautiful Floral Designs 00:45:00 Getting a Job in the Floristry Industry 00:30:00 Starting Your Own Floristry Business 00:54:00 Assignment Assignment - Floristry Academy Diploma 00:00:00