2940 Courses

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

Gain the edge in business! Master ISO 9001 Quality Management, strategy, risk management, audit skills. Enhance your career, ensure organisational excellence!

Overview Get started in setting up your own floristry business and learn the art of flower arranging with this floristry masterclass! In the Floristry & Plant Care Training, you will learn how to create stunning floral displays for special occasions such as weddings and festive holidays. You will also deepen your knowledge of the role of the florist as well as the fundamental elements and principles of floral design. Take your first steps towards a career in the floral industry and learn how to create stunning floral bouquets, displays, and more, with this introductory training course! Why buy this Floristry & Plant Care Training? 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 & Plant Care Training you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Floristry & Plant Care Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Floristry & Plant Care Training was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Floristry & Plant Care Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Floristry & Plant Care Training Module 01: Introduction to Floristry 00:15:00 Module 02: The Florist 00:30:00 Module 03: Flower Colors & Symbolism 00:30:00 Module 04: Different Flowers and Their Meaning 01:00:00 Module 05: Potted Plant Care 00:30:00 Module 06: Cut Flowers 01:00:00 Module 07: Plant Diseases 01:00:00 Module 08: Common Cultural Disorders 00:30:00 Module 09: Insects and Pests of Roses 00:30:00 Module 10: Garden Care to Prevent Diseases 01:00:00 Module 11: Principles of Floral Arrangement 01:00:00 Module 12: Floral Design 01:00:00 Module 13: Types of Greenery 01:00:00 Module 14: Role of Foliage in Arrangements 00:15:00 Module 15: Popular Styles and Arrangements 01:00:00 Module 16: Making Floral Arrangements 00:30:00 Module 17: Container Preparation 00:30:00 Module 18: Corsage & Boutonniere 00:30:00 Module 19: Wedding Bouquet 00:15:00 Module 20: Funeral Flowers & Meanings 00:15:00 Module 21: Funeral Wreath 00:15:00 Module 22: Surviving in Florist Sector 00:15:00 Mock Exam Mock Exam - Diploma in Floristry and Flower Arrangement Training Courses 00:20:00 Final Exam Final Exam - Diploma in Floristry and Flower Arrangement Training Courses 00:20:00

Overview This The Basics of Reproduction course will unlock your full potential and will show you how to excel in a career in The Basics of Reproduction. So upskill now and reach your full potential. Everything you need to get started in The Basics of Reproduction is available in this course. Learning and progressing are the hallmarks of personal development. This The Basics of Reproduction will quickly teach you the must-have skills needed to start in the relevant industry. In This The Basics of Reproduction Course, You Will: Learn strategies to boost your workplace efficiency. Hone your The Basics of Reproduction skills to help you advance your career. Acquire a comprehensive understanding of various The Basics of Reproduction topics and tips from industry experts. Learn in-demand The Basics of Reproduction skills that are in high demand among UK employers, which will help you to kickstart your career. This The Basics of Reproduction course covers everything you must know to stand against the tough competition in the The Basics of Reproduction field.  The future is truly yours to seize with this The Basics of Reproduction. Enrol today and complete the course to achieve a The Basics of Reproduction certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the The Basics of Reproduction course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the The Basics of Reproduction course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the The Basics of Reproduction course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This The Basics of Reproduction is suitable for anyone aspiring to start a career in The Basics of Reproduction; even if you are new to this and have no prior knowledge on The Basics of Reproduction, this course is going to be very easy for you to understand.  And if you are already working in the The Basics of Reproduction field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this The Basics of Reproduction course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This The Basics of Reproduction course has no prerequisite.  You don't need any educational qualification or experience to enrol in the The Basics of Reproduction course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online The Basics of Reproduction course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Section 01: Basics of Asexual Reproduction The Concept of Life Span 00:05:00 The Features of Reproduction 00:06:00 Types of Asexual Reproduction 00:13:00 Vegetative Propagation in Plants 00:10:00 Section 02: Basics of Sexual Reproduction Genetic Recombination in Prokaryotes, Flowering in angiosperms and Breeding... 00:10:00 Reproductive Cycles, Pre-fertilization and Sexuality 00:11:00 Sexuality in Organisms 00:06:00 Events of Fertilization and Post-fertilization in organisms 00:12:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access