28 Probability courses delivered Live Online

We offer the most advanced “Certified Six Sigma Green Belt Course” as per the curriculum outline of The ASQ Body of Knowledge and accredited by top international Lean & Six Sigma accreditation bodies. Six Sigma Green Belt Deliverables: 22+ hours of Instructor-led interactive virtual classroom session on the weekend Access to 45+ hours of Module based Six Sigma lectures via LMS 100+ Toolkits and Project Templates for Analysis and Implementation Soft copy of Lean Six Sigma Green Belt Body of Knowledge Live Data-oriented project, with Scenario and Analysis Methodology 20+ Dummy Projects and Case studies for Lean Six Sigma Application Support via subject expert through telephonic discussion on the weekend Sample Questions and Examination Guide for Certification Preparation Pre and Post assignments for process groups and knowledge areas Project implementation support and Data visualization using MINITAB PRO CLSSGB certification examination anytime within the 90 days course duration Certification Validation Tool for third-party credentials validation PARTICULARS Duration (Hours) 1. Define Phase 22 2. Measure Phase 14 3. Analyse Phase 20 4. Improve Phase 7 5. Control Phase 7 Total Duration 70 (Hours) Introduction Become an expert in six sigma methodology by getting hands-on knowledge on DMAIC, Project Charter, Process Capability, FMEA, Sigma calculation, Test of Hypothesis, Control Charts, VSM, JIT using real case scenarios and real-life examples. Lean and DMAIC methodologies using live projects. The Six Sigma Certification is accredited by The Council for Six Sigma Certification. The certification also acknowledges the BOK outline of The American Society for Quality, USA. The course features world-class content with live projects and MINITAB PRO driven data analysis training with end to end support in project implementation by Master Black Belt Experts and Trainers. What is Six Sigma Certification? A person with Six Sigma certification has problem-solving abilities. Someone may gain Green Belt, Black Belt or Master Black Belt certification. The higher certification one attains, the more is the ability to solve complex organizational problems. Six Sigma certification is a process of individual’s knowledge validation using a classification system, generally referred to as "Belts" (Green Belt, Black Belt, Master Black Belt) This verification test individual commands over six sigma methodology and tools. The belt classification shows the position these certified individuals would occupy in an organizational structure and job roles. Six Sigma Green Belt training is especially for the future project leaders of Lean Six Sigma projects. We deliberately mix non-profit with profit participants. There will then be fun, useful discussions and knowledge exchanges during the training sessions. In addition, there are also many self-employed people who follow the LSS Green Belt training to increase their expertise as in a trimmer. What do you do to get the Six Sigma Green Belt certificate? Our Six Sigma Green Belt training consists of a number of components: Training: in an intensive training program you learn the background of Lean and Six Sigma and we put what we have learned into practice with different simulations. Extra: With our Body of Knowledge and whitepapers you place what you have learned in a theoretical framework. The program also contains various homework assignments, in which we focus, among other things, on the use of MINITAB PRO. Follow-up: During the training, you will receive an access code to an e-learning module. You can pass the substance again in an interactive way. Exam: On the last training day you will make the CLSSGB Green Belt exam. If you succeed, you will immediately receive the official Certified Lean Six Sigma Green Belt certification. Global Recognition of Your Certification: Agenda Overview of Six Sigma and the organizationSix Sigma and organizational goalsValue of six sigmaOrganizational goals and six sigma projectsOrganizational drivers and metricsLean principles in the organizationLean conceptsValue-streaming mappingDesign for six sigma (DFSS) methodologiesRoadmaps for DFSSBasic failure mode and effects analysis (FMEA)Design FMEA and process FMEA Define PhaseProject identificationProject SelectionProcess elementsBenchmarkingProcess inputs and outputsOwners and stakeholders Voice of the customer (VOC) Customer identificationCustomer dataCustomer requirements Project Management Basics Project charterProject scopeProject metricsProject planning toolsProject documentationProject risk analysisProject closureManagement and planning toolsBusiness results for projectsProcess performance CommunicationTeam dynamics and performanceTeam stages and dynamicsTeam roles and responsibilitiesTeam toolsTeam Communication Measure PhaseProcess analysis and documentationProbability and statisticsBasic probability conceptsCentral limit theorem, Statistical distributions, Collecting and summarizing dataTypes of data and measurement scalesSampling and data collection methodsDescriptive statisticsGraphical methodsMeasure Phase (contd E. Measurement system analysis (MSA) F. Process and performance capabilityProcess performance vs. process specificationsProcess capability studiesProcess capability (Cp, Cpk) and process performance (Pp, Ppk) indicesShort-term vs. long-term capability and sigma shift Analyze PhaseExploratory data analysisMulti-vari studiesCorrelation and linear regression B, Hypothesis testingBasics Tests for means, variances, and proportionsIntroduction to MINITAB Data analysis Improve Phase of Six SigmaDesign of experiments (DOE)Basic terms, DOE graphs, and plotsThe root cause analysisLean Tools 1. Waste elimination 2. Cycle-time reduction 3. Kaizen and kaizen blitz V1. Control PhaseStatistical process control (SPC)SPC BasicsRational subgroupingControl chartsControl planLean tools for process controlTotal productive maintenance (TPM)Visual factory Project Implementation & SupportMINITAB Practice and guidance for projectProject implementation supportTemplates and Toolkits application for Project workSupport on Data Project, Implementation and project completion BenefitsFrom the course Learn the principles and philosophy behind the Six Sigma technique Learn to apply statistical methods to improve business processes Design and implement Six Sigma projects in a practical scenario Learn the DMAIC process and various tools used in Six Sigma methodology Knowledge of Six Sigma Green Belt Professional enables you to understand real-world business problems, increase an organization's revenue by streamlining the process, and become an asset to an organization According to Villanova University, employers such as United Health Group, Honeywell, GE and Volkswagen have been actively seeking professionals with Six Sigma to fill a variety of positions The Training enhances your skills and enables you to perform roles like Quality Manager, Quality Analyst, Finance Manager, Supervisor, Quality Control, etc. According to Indeed.com, the national average salary for a Six Sigma Green Belt is $72,000 per year in the United States.   From the workshop Instructor LED training by Six Sigma Black Belt and Master Belt experts to make candidate learn the real scenario of six sigma tools and methodology Learn the principles and philosophy behind the Six Sigma method Dummy project by instructors to make candidate get a hands-on six sigma projects Downloadable Six Sigma PPT & Six Sigma PDF Industry Based case studies High-Quality training from an experienced trainer The Program extensively uses Minitab, specialized statistical software. It provides you with a thorough knowledge of Six Sigma philosophies and principles (including supporting systems and tools). Know about six sigma certification cost and six sigma green belt certification cost. Who should attend? The Six Sigma program is designed for professionals and students who want to develop the ability to lead process improvement initiatives. Six Sigma tools and process is widely used in all business processes. Six Sigma is applicable in all industry and in all functional areas. An indicative list of participants in our Green Belt program could include: Financial/business analyst Commodity manager Project manager Quality manager Production manager Production Engineer Business development manager Manufacturing process engineer Continuous improvement director Business managers or consultants Project manager/Program Manager Director or VP of operations CEO, CFO, CTO Certification On successful completion of the course and course requisites, the candidate will receive Internationally recognized Six Sigma Green Belt Certification. This course offers Six Sigma Certification Validation Tool for Employers Your Six Sigma Certification Validation Tool can be used by employers, clients and other stakeholders to validate the authenticity of your Six Sigma Certifications you have received. Using the programming code located on your certified LSSGB certification, one can see all your training and certification details online.

Learn how to use this innovative tool to analyse and validate your schedule, to add and model uncertainty and risk and to work with updated plans to compare project progress. Course overview Duration: 1 day (6.5 hours) This course looks at the powerful features of Nodes and Links. It looks at analysing and validating your schedule, adding uncertainty and risk and working with updated plans to compare project progress. Hands on practice will be gained throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Nodes and links, no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import and validate plans Analyse and review plans Add and model uncertainty Add and model risk Load updated schedules Re run analysis on updated schedules Content Validating your plan Importing a baseline plan Running a health check Analysing the results Reviewing the plan Analysing critical paths Reviewing activities Reviewing resources Adding Uncertainty Setting uncertainty templates Distributions Adding uncertainty Using Inherit Using AI Reviewing activity distributions Modelling Uncertainty Running the Analysis Reviewing the results Reviewing activity results Risk Drivers Filtering for activities Setting up the Risk Register Setting Risk Templates Adding Risks to the Risk Register Independent vs Dependant Events Setting Probability and Impact Modelling Uncertainty and Risk Mapping risks to activities Running the Analysis Reviewing the results Updated Plans Importing a new plan version Comparing plans Tracking progress Trend analysis Analysing Updated Plans Using updated plans Synchronising uncertainly and risk Rerunning analysis

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

BECOME A NUTRITIONAL CONSULTANT AND LEARN HOW TO STEER YOUR CLIENTS TOWARDS BETTER HEALTH A MESSAGE FROM THE AUTHOR This course is a must for anyone who is passionate about health & well-being and would like to fast-track to a practitioner role whereby you can confidently advise your clients on the best route to achieving good health in a world where ill-health is prevalent. The hope is expressed that this course will lead you feeling well informed, on a deeper naturopathic level, and provide you with a range of measures that you can apply to practice as you steer your clients towards better health. DR. LAWRENCE PLASKETT Course Duration 12 months Study Hours 300 hours Course Content 27 sections Course Fee £595 Course Overview The Plaskett Diploma in Nutritional Consultancy is especially useful for those whereby holistic health is a feature of your line of work and you would like to enhance the service that you provide, or for those that wish to set up an independent practice as a Nutritional Consultant. In Part One you will: Be introduced to the concept of naturopathy Gain a general understanding of the subject of health and nutrition Grasp the fundamentals of the cell's need for nutrients Appreciate the role of carbohydrates, fats, proteins, vitamins and minerals and understand the basics of how these nutrients work in the body Be aware of the enormous health benefits that can come from favourable dietary change Appreciate the merits of particular foods and nutrients Ultimately gain the knowledge that will lead towards a better standard of well-being now, and a prolonging of good health in the future In Part Two you will:Gain a deeper understanding of naturopathy and its principles which you can then apply to practise in nutritional therapies.Obtain the skills to understand the depth of disease in your patients to then find a route back from chronic disease and enable you to advise the best treatment plan.Develop an understanding of the role of the practitioner from the initial consultation, the taking of a case history, the interpretation and the subsequent advising of a treatment plan.Learn the ‘tools of the trade’ in using diets, supplements, herbs, phytonutrients in treatment, with flexibility and insight. BREAKDOWN OF THE COURSE SECTIONS PART ONE includes the following 12 sections: SECTION 1 THE PRINCIPLE BULK NUTRIENTS & ASSOCIATED FOODS In Section 1, we begin the study of nutrients and foods by looking at the main bulk nutrients that our diets contain: protein, carbohydrate and fat. Before one can consider individual vitamins and minerals, one has to know about the nutrients that make up most of our diets, namely the bulk nutrients. These are the suppliers of food energy, essential amino acids and fatty acids. You will need to understand these so as to manipulate them with skill. Areas Covered Proteins The carbohydrates Fibre Fats Classes of foods based upon composition SECTION 2 THE CELL & CELL ENERGY This section will illuminate the nature of the cell and explain how the energy of the cell is generated and what functions the cell must perform using that energy. It explains calories as units of energy measurement and the dynamic role of the enzymes in the cells. Areas Covered The cell Cell energy The energy content of food What else does the body have to do with its energy? How does the body release energy from food? Enzymes The overwhelming importance of cell energy The vitality of cells and tissues The key role of blood glucose What key factors are most likely to erode good vitality? Go-factors for enzymes Internal cell environment Enzyme poisons SECTION 3 THE ENVIRONMENT INSIDE THE CELL This section explains the importance of the controlled environment inside the cell. It particularly stresses how important it is to maintain the balance between sodium and potassium and between calcium and magnesium. Areas covered Out of balance intakes of sodium and potassium Calcium and magnesium balance Calcium mishandling SECTION 4 THE NEED FOR THE CELL TO SELF CLEANSE This section shows you how the cell needs to remain vital and active and to maintain the integrity of its energy systems and enzymes. It stresses the cell's need to excrete waste and toxic materials and to actively cleanse. This approach is both naturopathic and science-based. Areas covered Naturopathic elimination The concept of self-cleansing Naturopathy Vitality Chronic and acute Suppression SECTION 5 THE MICRO-MINERALS & THEIR CONTRIBUTION TO THE CELL This section emphasises and explains the importance of micro-minerals. It shows them in their role as enzyme activators and how they contribute in this way to cell energy and to maintaining the cell's integrity and function. It explains the key roles and characteristics of individual micro-minerals. Areas covered How metals act as enzyme activators Iron Zinc Manganese Copper Chromium Selenium Molybdenum General supplementation policy on trace metals Non-metallic micro-minerals Toxic metals Notes on metallic macro-minerals SECTION 6 THE VITAMINS This section covers the entire group of vitamins. It shows how they activate enzymes, contribute to cell energy and increase vitality. It explains their differing functions and characteristics. Areas covered Vitamins defined Intakes and rnis for vitamins How vitamins work The vitamins Non-vitamin nutrients How vitamins contribute to cell energy and increase the life force Food sources of the vitamins SECTION 7 BOWEL FLORA – HOW IT AIDS CLEANSING & MAINTENANCE OF A GOOD BODY ENVIRONMENT This section explains how the complex population of bacteria in the intestines contribute to maintaining vitality and health. In particular, it will become clear how these bacteria aid cleansing and the maintenance of a good environment within the body, which is so essential to good health. It includes how to nurture your own bowel flora organisms. Areas covered The bacteria of the large intestine (the bowel) The alternative view of desirable and undesirable bowel flora The benefits from an acidic lower bowel The effect of bowel flora upon cleansing Association of lactobacillus with milk Synthesis and absorption of b vitamins The reciprocal effects of bowel flora The bowel flora from infancy to adulthood Candida albicans How to maintain the bowel flora The use of bowel flora products SECTION 8 CHARACTERISTICS OF THE MAIN FOODS. SUPPRESSIVE VERSUS ELIMINATIVE FOODS This section identifies the 'suppressive' foods - those which block the body's elimination of toxins. It separates them from the 'eliminative' foods - those which enable or enhance the voiding of toxins. It gives the characteristics (in this respect) of the main food groups. It will tell you what problem foods to avoid and identify the acid-producing foods. Areas Covered Milk as a problem food Wheat and rye as problem foods Vegetables Relation of elimination to acidity The two-step process of elimination The neutral grains Salt Sugar SECTION 9 THE COMPOSITION OF FOODS This section provides a great deal of data on the composition of foods, their content and the main differences between them. This is a working mass of data to enable your own design of health-giving diets. Areas Covered Commentary on food tables The spread of bulk nutrients The spread of mineral nutrients SECTION 10 ALLERGIES, INTOLERANCE & SENSITIVITY. MICRO-MINERALS & THEIR CONTRIBUTION TO THE CELL This section is an introduction to allergies or intolerances - what they are; physical signs and symptoms, the most frequent; masked/hidden and/or addictive allergies; causes of allergy - food, chemical, emotional and mental; stages of allergy; different types of allergy - fixed, variable, cyclic; managing allergies and sensitivities - how to handle them; rotation diets (including the rotation chart); allergy testing and its limitations; food additives and chemicals; the role of nutrition in all this. Areas Covered Allergic reactions defined The nature of allergies and the effect they have Obvious reactions The four main classes of allergy The possible underlying causes of allergy Viewing allergy tests and their limitations What help is available to deal with allergies The key role of nutrition in the underlying case and treatment of allergy How allergies interfere with treatment The concept of neutralisation The allopathic or orthodox drug approach SECTION 11 DESIGNING DIETS This section provides clear guidance on designing maintenance nutritional diets that, compared to most ordinary diets, should improve health. Areas Covered Dietary paragraphs Using the dietary paragraphs to make up diets SECTION 12 THE USE OF SUPPLEMENTS This section explains and demystifies the subject of vitamin and mineral supplements and their use. It enables you to design simple maintenance and health-giving programmes of supplementation. Areas Covered General guidelines in the use of supplements Always attend to the diet first Preparing for mineral and vitamin supplementation Steps in supplement intake Simple and effective combinations The eliminative qualities of magnesium and calcium Less frequently used combinations Use of multiple formulations Adding in the trace elements as a further stimulant of toxin elimination & for correction of deficiencies On to the next stage – zinc and manganese Conditions where practitioners of nutritional medicine might use such formulae Vitamins a & d Vitamins c & e Choline & inositol Calcium pantothenate The role of the practitioner of nutritional medicine PART TWO includes the following 15 sections: SECTION 1  NATUROPATHY, ITS NATURE AND ITS HISTORY In this section we introduce the medical system known as “naturopathy”. We do so because this system provides the basis for understanding and using naturopathic nutritional therapies. Throughout this Course we shall refer to naturopathy and naturopathic principles and in learning and using these principles, you will hopefully discover a dynamic view of health and illness that will excite you and will inform and motivate your future practice. Areas Covered The Basic Principles of Naturopathy The Early Days: Hydrotherapy as the Core Therapy Progress of Naturopathy in the United States The Halycon Years of Naturopathy in Britain The Suppression of Naturopathy and its Rebirth The Details of Hydrotherapy Techniques The Range of Today’s Naturopathic Techniques Published Research into Naturopathy and General Acceptance Today’s Activities at Health Spas Naturopathy in Relation to Scientific Medicine Naturopathy in Relation to Biochemistry: the Principles of “General Chronicity” Naturopathy as the Philosophical Base for other Therapies SECTION 2 PHILOSOPHY OF NATUROPATHIC NUTRITIONAL THERAPEUTICS In order to begin to understand Nutritional Therapeutics, we have to understand the philosophy that is at its very basis. One will be departing quite fundamentally from conventionality and as the truth about natural medicine and natural nutrition unfolds in this Course, the student will, in all probability, come to realise that holism is a higher form of knowledge; one that transcends the materialistic and the mechanistic and will lead you on the first steps of this most exciting of all journeys. Areas Covered The status of knowledge about diet in relation to health The pressure of conventional opinion The limitations of the conventional approach What goes in must affect health in the long run The body's resistance to deterioration Profound effects from treatment The life force in relation to scientific concepts The nature of toxins Starting to look at the route for recovery Acute conditions, inflammation and hyperactivity Routes by which toxins enter the body Routes of exit of toxins Movement of toxins within the body: toxic locations Iridology Knife edge between healing and non-healing The effects to be expected from toxins residing in tissues SECTION 3 SYNTHESIS OF NATUROPATHY & SCIENCE What is to be presented in this Section is pertinent to the whole question of the initiation of chronic diseases. If we look in the pathology texts and consult the sections on individual types of chronic disease, we usually find an explanation of the cause (aetiology) on a superficial level. However, when we begin to probe into the cause of the causes, we soon hit an impenetrable wall of “not knowing”. It is in this Section that we aim to open the door to this question and therefore give a route back from chronic disease. Areas covered Introduction: a specialized meaning of “Chronicity” The Nature of Toxic Damage – Non-Specific Cell Toxicity The Nature of Membranes Mechanisms of Protein Synthesis and their Vulnerability to Toxins Damage to Mitochondria and the Endoplasmic Reticulum Relationship of General Cellular Damage to Cancer The Nucleus, DNA and their Vulnerability to Toxins DNA Repair Mechanisms The Nature of Toxic Damage – Specific Cell Toxicity Cell Damage and the “General Chronicity” Theory SECTION 4 THE PRACTITIONER’S ROLE In this Section we wish to paint a picture that fairly fully describes this role. It is important to build a set of views about your future role that is fully compatible and interwoven with the naturopathic philosophy and data given in the previous Sections of the Course.  Areas covered Introduction to the Role of the practitioner The Wider Environment The Microcosm of the Consulting Room patient & treatment pimary components of the Practitioner’s role a working relationship & commitment to each patient physical examination communicating & recording the prescription providing nutritional products required for therapy communication with doctors spreading the word SECTION 5 UNDERSTANDING THE DEPTH OF DISEASE Here is where the clinical work begins. We begin by thinking about this one aspect – how sick is your patient? You need some idea as to how big the problem is that lies before you. Areas covered The Nature of Health and Disease and the Approach to Treatment Some of the Misconceptions Flexibility of Disease Definitions Arthritis as an Example Do You Need a Hospital Diagnosis When You Are Not Unwell? Homotoxicology and the Teachings of Reckeweg Reckeweg’s Six Levels of Deterioration Examples of Progressive Sequences of Medical Conditions The Miasmic Background: Important but Disputed territory The Three Basic Homeopathic Miasms The Tubercular Miasm The Carcinocin Miasm The Sub-divisions of the Tubercular Miasm Note on Iridology SECTION 6 THE CONCEPT OF ELIMINATORY PRESSURE & ITS MANAGEMENT Eliminatory pressure is the term we use to denote the combined effect of all the various naturopathic-type measures we apply to help the body biochemistry of a sick person to return to normal. According to the “Theory of General Chronicity”, the normality of the biochemistry of the body cells, and hence their degree of freedom from toxicity and damage, is our yardstick of general health and vitality. Areas covered The Nature of Eliminatory Pressure Differences of Response to Naturopathic Pressure The Interactions between Toxins and Toxic Damage Regulating Eliminative Pressure at Manageable Levels The Basics of Generating Eliminatory Pressure Fasting: Free Radicals and Antioxidants “Firing up” Eliminatory Pressure with Fruit The Stage I and Stage 2 Elimination Using Foods to Generate Controlled Levels of Eliminatory Pressure Using Supplements to Generate Controlled Levels of Eliminatory Pressure Contributions to Eliminatory Pressure from Herbs and Special Nutrients Levels of Eliminatory Pressure, Understanding and Managing Them The Effectiveness’, or Otherwise, of Eliminatory Reactions The Concept of the “Chronically Acute” The Approach to Overall Management of the Case SECTION 7 TAKING THE CASE HISTORY & UNDERSTANDING ORGANS AND ORGAN FUNCTIONS In this Section we concern ourselves with the actual technique for taking down the particulars of the case. Before we can carry out a full naturopathic diagnosis, we shall need to understand the principles of ‘Plotting the Course of Disease’. It is from this that we will gain a full appreciation of how the sick person came to be in their present condition and this will then lead us on to the question of what to do about it.  Areas covered The More Basic Facts The Aims and Objectives in Taking the Case The Organ States Assessing the Naturopathic State of Organs Hierarchy of Organs Organ-Specific Diagnosis Individually Important Organs and Systems Blood Sugar in Relation to Vitality: Hypoglycaemia The Adrenal Glands how should we recognise adrenal exhaustion clinically? The Liver The Kidneys The Immune System Location of Immune System Components. Functions of Immune System Components. Nutritional Therapy Interpretation of Immune System Signs The Skin SECTION 8 INTERPRETATION OF CASE HISTORY AND UNDERSTANDING INDIVIDUAL REACTIVITY In this Section, we would like you to consider the inevitability of the rules that apply to progression along the pathway to chronic disease, and to the possibility of return from any position that is well down that path. From understanding the case, you will be able to determine what the treatment should be. Areas Covered The Naturopathic Laws and Observational Skills The Progression of Disease More about the Acute and the Chronic The Nutritional Therapist’s View of Disease The Allopathic View of Disease More about “Charting the Naturopathic Ebb and Flow” The Multifactorial Diagnosis See What’s Moving, What’s Changing Assessing Individual Reactivity Let the Case Taking Stage Foreshadow the Interpretation just a Little Note on The Chinese Medicine Connections SECTION 9 THE TOOLS OF THE TRADE & USING DIETS AS TREATMENT Using the information presented to you in Part One of the course, you will be able to use those same dietary paragraphs and move towards a very flexible prescribing of individually designed diets. You will make up a diet for each patient that will embody a carefully thought out modulation of the elimination/suppression aspect of our approach to health.  Areas Covered What we have covered already Many people may seem not to need special diets Avoid becoming paranoid Choices in dietary design More about the food classes Facing realism in your range of non-therapeutic prescriptions Adaptation for vegetarians Elements of directional dietary prescribing The approach to actual therapeutic prescription SECTION 10 THE TOOLS OF THE TRADE & USING SUPPLEMENTS AS TREATMENT We provided advice in Part One of the Course on the use of supplements. We introduced the ratio between magnesium and calcium, the use of micro-minerals and the use of zinc and manganese to name but a few. Here we explain further the steps needed to apply these essential tools to ensure that your treatment advice is successful. Areas Covered The latest advice provided by the Introductory Nutritional Course supplementation Legal Restraint upon use of Supplements SECTION 11 THE TOOLS OF THE TRADE & USING HERBS AS TREATMENT In the course of our treatment we often need to deal with common herbs. This is to produce certain organ-specific or system-specific effects, not obtainable with other nutrients. The effect of this is not to make Herbalists of us, but to ensure that these remedies are very carefully selected for their compatibility with other nutrients.  Areas Covered Aloe vera Bromelain St john’s wort Gingko biloba Silymarin SECTION 12 ACTIONS OF GROUPS OF PHYTONUTRIENTS This Section begins to delve into what lies behind the known fact that fruit and vegetable consumption inhibits many diseases. What are the substances within them that are responsible for such an important protection of the human body? Each of the main groups is examined with the main purpose being to familiarize the Student with these substances and to offer scientific evidence that some of these really do protect against disease. Areas Covered The Position of Phytonutrients Among Other Factors What are Phytonutrients? The Place of Phytonutrients among Secondary Plant Metabolites The Different Groups of Beneficial Phytonutrients Evidence for anti-disease activity SECTION 13 SPECIAL SUPPLEMENTS & THE COMBINED PRESCRIPTION When we write about “special supplements”, we mean to refer to those substances that are used as nutritional supplements and which do not fit into any of the previous categories mentioned. Here we teach the Student that they may in fact include many substances from many groups, leading to a diversified classification that each has their own special effects, conferring unique advantages upon the taker of them. Areas Covered Special Supplements & combined prescription Conducting the Consultation SECTION 14 STEERING A COURSE THROUGH TREATMENT – FLEXIBILITY AND INSIGHT Having not specifically addressed the question of what happens after the initial consultation, it is here that we bring together all the information that has been presented to you in the pages of this Nutritional Therapeutics Course, therefore, making this Section a recapitulation of things we have covered already, but brought together in a cohesive treatment of the subject. Areas Covered Progressing the Case Things to do at the First Consultation to help towards the Second The Second Consultation the meaning of different outcomes Constipation and Diarrhoea as incidents in Treatment. Titration of Bowel Flora The Nutritional Therapy Intensive Cleanse Diet Enemas Supplements Juices Duration Supplement Sequences in Treatment From Calcium Formulations to Calcium-Free Formulations Other Progressions Allergies, Intolerances and Hypersensitivities SECTION 15 SNAGS, CLEANSES AND CASE HISTORIES TESTIMONIALS Here's what students have to say about the course Kate Woolger, pilates instructor UK I chose the Plaskett College as I wanted something which was flexible and could be done in my own time. The content of the course really appealed. The study experience has been enjoyable - sometimes hard if a subject wasn’t so interesting. In regards to changes I have already implemented, I’m more thoughtful of thinking things through from the inception rather than just looking at the problem"

Overview This course covers distressed debt analysis and investing, focusing primarily on corporates but also including financial institutions and sovereign debt as special topics. The programme begins with the foundations of the distressed debt market, causes of and early warning signals, possible outcomes and how to evaluate the probability of outcomes in different scenarios. Restructuring is reviewed in detail, as well as estimation of sustainable debt levels, business valuation and the importance of capital and group structure. Differences between active control and passive non-control investments are highlighted, including stakeholder tactics and due diligence. Case studies cover a variety of companies across sectors and geographies, challenging delegates to make investment decisions on real distressed debt situations. Who the course is for Distressed debt investors, Loan portfolio managers and Private equity investors Hedge fund managers High yield credit analysts and Equity analysts High yield asset managers and Mergers and acquisitions bankers Debt capital markets/leveraged finance bankers Business turnaround/restructuring accountants/corporate finance professionals Lawyers Strategy consultants Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Overview This is a 2 day course on understanding credit markets converting credit derivatives, from plain vanilla credit default swaps through to structured credit derivatives involving correlation products such as nth to default baskets, index tranches, synthetic collateralized debt obligations and more. Gain insights into the corporate credit market dynamics, including the role of ratings agencies and the ratings process. Delve into the credit triangle, relating credit spreads to default probability (PD), exposure (EAD), and expected recovery (LGD). Learn about CDS indices (iTRAXX and CDX), their mechanics, sub-indices, tranching, correlation, and the motivation for tranched products. The course also includes counterparty risk in derivatives market where you learn how to managed and price Counterparty Credit Risk using real-world, practical examples Understand key definitions of exposure, including Mark-to-Market (MTM), Expected Exposure (EE), Expected Positive Exposure (EPE), Potential Future Exposure (PFE), Exposure at Default (EAD), and Expected Loss (EL) Explore the role of collateral and netting in managing counterparty risk, including the key features and mechanics of the Credit Support Annex (CSA) Briefly touch upon other XVA adjustments, including Margin Valuation Adjustment (MVA), Capital Valuation Adjustment (KVA), and Collateral Valuation Adjustment (CollVA). Who the course is for Credit traders and salespeople Structurers Asset managers ALM and treasury (Banks and Insurance Companies) Loan portfolio managers Product control, finance and internal audit Risk managers Risk controllers xVA desk IT Regulatory capital and reporting Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Success = Value + People + Process With innovation happening more than ever, the new agile project economy requires more and more people across organisations to manage projects successfully, leading to many of us quietly slipping into the role of the unofficial project manager! The problem is very few people receive formal training on how to do it. Stakeholders, scope creep, limited training, and a lack of process all combine to raise the probability of project failure costing organisations time, money, and employee morale Is it any wonder 65% of all projects fail* each year! The good news is—unofficial project managers can build confidence to lead high-value projects and engage teams in a way that inspires them to volunteer their best efforts. Source: *Nieto-Rodriguez, A. (2021). “The Project Economy Has Arrived.” Harvard Business Review; Nov/Dec 21. Outcomes Project Management for the Unofficial Project Manager™ combines best practices from agile and waterfall project management to equip learners with the mindset, skillset, and toolset to engage and inspire team members. Success starts with the core agile principle of value—a project must deliver value to Noble! Once value is established, it is people who make projects successful through a consistent process. Project management isn’t just about managing logistics and hoping the project team is ready to play to win. The skills of “informal authority” are more important than ever before, so team members are inspired to contribute to project success! This course will help learners: Build strong informal authority that inspires project teams to consistently volunteer their best efforts. Utilise a consistent process to start and finish high-value projects on time and with quality. Influence and engage others to define a clear project scope, including clear deliverables and risk strategies. Model openness and agility to apply proactive change management and deliver high-value projects. Project Management Framework The Project Management Framework guides you through five distinct elements in the life of any project. Coupled with the foundational behaviours taught in the programme, this framework can help you deliver highly successful projects again and again. Who Should Attend? This programme is for anyone who finds themselves leading projects at work, regardless of whether or not their job title says, Project Manager! It is NOT a deep dive into project management processes, nor is it a qualification based programme. Whilst it would be helpful to either be involved in or to be leading a project, during the programme, this is clearly not essential. However, it is advisable that the participants have had some experience, whether as a project member or as the person who is leading the project (officially or not)! Project Management Institute (PMI) FranklinCovey is a member of the Project Management Institute (PMI) Authorised Training Partners (ATP) Programme and this course has been designed to satisfy the project management education requirement for PMI Certifications as well as Professional Development Education units (PDUs) needed by PMI credential holders.