1913 Courses in Cardiff delivered On Demand

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

Overview Flowers bring beauty and joy to our lives. Hence, people have been using flowers for memorable occasions for centuries. If you are fascinated by their beauty and want to pursue a career where you get to work with flowers, our Online Floristry Course is what you need. This course will open the doorway to the world of flora. In this course, you will learn about different types of flowers and know how to take care of them. The course will teach you the principles of floral design. Furthermore, you will be able to develop the skills for making different types of floral arrangements. In addition, the course will also include lessons on floral business and show you how to open your own business. So, if you are ready to wander in the world of floristry, join the course today! Course Preview Learning Outcomes Enhance your knowledge about different flowers and plants Learn about flower care and treatments Familiarise yourself with the elements and principles of floral design Build the skills for making floral bouquets, corsages, basket gardens, etc. Know how to arrange flowers for different events Develop the competence to open your own flower business Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Flower care and treatment Floral arrangements Floral design Who Should Take This Online Floristry Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Online Floristry Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Online Floristry Course Certification After completing and passing the Online Floristry Course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Online Floristry Course will equip you with effective skills and abilities and help you explore career paths such as  Florist Event Decorator Wedding Planner Module 01:Introduction To Floristry Introduction to Floristry 00:46:00 Module 02:Services Provided By Florists Services Provided by Florists 00:23:00 Module 03:Flowers And Plants Flowers and Plants 01:08:00 Module 04:Flower Care And Treatment Flower Care And Treatment 00:40:00 Module 05:Choosing Popular Flowers And Fillers Choosing Popular Flowers and Fillers 00:41:00 Module 06:Elements And Principles Of Design Elements and Principles of Design 00:54:00 Module 07:How To Make Floral Arrangements How to Make Floral Arrangements 01:04:00 Module 08:Making Bouquet, Corsage, Fruit Basket & Basket Garden Making Bouquet, Corsage, Fruit Basket _ Basket Garden1 00:35:00 Module 9:Wedding Floristry Wedding Floristry 01:05:00 Module 10:Making Funeral Flower Arrang Making Funeral Flower Arrangements 00:31:00 Module 11:Beautiful Floral Designs Beautiful Floral Designs 00:45:00 Module 12:Getting A Job In The Floristry Industry Getting a Job in the Floristry Industry 00:30:00 Module 13:Starting Your Own Floristry Business Starting Your Own Floristry Business 01:13:00 Bonus Material: Important Images Used In This Course [PDF] Bonus Material Important Images Used in this Course 04:24:00 Assignment Assignment - Professional Floristry 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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

Description Crochet is the wonderful production of creativity and dedication. Master the astonishing crochet pattern and create a wonderful floral wreath for decorating your home or for a gift for your friends. Crochet uses yarn and crochet hook to produce excellent fabric and other designs out of cotton. The course first familiarizes you with the essential crochet tools such as crochet yarn, different types of crochet hooks, wool wash, wool needles, yarn bobbins, knit blockers, etc. You will know the mandatory and less important tools and materials. Then, you will learn three types of crochet flower pattern - puff flower, Hibiscus flower and Irish flower. You will also know to make Irish flower leaf. Next, the course will show you to make two kinds of pistils: corkscrew and Irish lace round button. Finally, using the above knowledge, you will know how to make a Floral Wreath. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Floral Wreath Design for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Floral Wreath Design for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Let`s Prepare! Introduction FREE 00:03:00 Materials and Tools 00:02:00 What Will We Crochet? 00:03:00 Flowers, Pistils and Leaves Puff Flower - How to Crochet 00:10:00 Puff Flower - Pattern Reading 00:02:00 Hibiscus Flower - How to Crochet 00:12:00 Hibiscus Flower - Pattern Reading 00:16:00 Irish Lace Rose - How to Crochet 00:02:00 Irish Lace Rose - Pattern Reading 00:05:00 Corkscrew Spiral - How to Crochet 00:01:00 Corkscrew Spiral - Pattern Reading 00:06:00 Irish Lace Button or Pistil - How to Make 00:07:00 Irish Lace Leaf - How to Crochet 00:02:00 Assembling the Wreath Irish Lace Leaf - Pattern Reading 00:12:00 Wreath Base 00:03:00 Assembling 00:02:00 Thank you! 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 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

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

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

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