510 Writing courses in Ewell delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours Overview Understand why Blockchain is needed and where Explore the major components of BlockchainLearn about Hyperledger Fabric and the structure of the Hyperledger ArchitectureLean the features of the Fabric model including chaincode, SDKs, Ledger, Security and Membership ServicesPerform comprehensive labs on writing chaincodeExplore the architecture of Hyperledger FabricUnderstand and perform in depth labs on Bootstrapping the NetworkPerform comprehensive labs to integrate/develop an application with Hyperledger Fabric running a smart contractBuild applications on Hyperledger FabricCourse Outline: This training course has been created to walk you through Chaincode Development, Testing, and Deployment for a Hyperledger Fabric Network catering specifically toward Golang written Chaincode (Fabric?s original Chaincode Language). Additionally as an Application Developer you will learn how to write, and prepare Client Applications using the most mature Standard Development Kit in Hyperledger Fabric, NodeJS. Blockchain Basics (Overview)Hyperledger Fabric Development EnvironmentKnowing the Difference: ComposerChaincode Use CasesChaincode BasicsGolang Shim DevelopmentDatabases for the DeveloperChaincode Dev. Deployment and InteractionsClients & SDK Development: Fabric-NetworkClients & SDK Development: Fabric-Client InteractionsLogging and Monitoring

6 Months Subscription Up to 100 mock tests Detailed feedback and scoring on all skills Progress report Model Answer Library on Writing Six free one-to-one sessions with an IELTS Expert

Duration 5 Days 30 CPD hours This course is intended for This is a basic-level programming course designed for attendees with prior development experience in another language, such as COBOL, 4GL, Mainframe or other non-object oriented languages. This course is not geared for non-developers. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String API This course provides hands-on Java 11 training for developers who have little or no prior working knowledge of object-oriented programming languages such as C, COBOL, and 4GL. You will learn the best practices for writing great object-oriented programs in Java 11, using sound development techniques, new improved features for better performance, and new capabilities for addressing rapid application development. Special emphasis is placed on object oriented concepts and best practices. A First Look The Java Platform Using the JDK The Eclipse Paradigm Getting Started with Java Writing a Simple Class Adding Methods to the Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Essential Java Programming Language Statements Using Strings Specializing in a Subclass Fields and Variables Using Arrays Local-Variable Type Inference Java Packages and Visibility Object Oriented Development Inheritance and Polymorphism Interfaces and Abstract Classes Introduction to Exception Handling Exceptions Java Developer's Toolboxÿ Utility Classes Java Date/Time Advanced Java Programming Introduction to Generics Lambda Expressions and Functional Interface Working with Collections Collections Using Collections Stream APIÿ Streams Collectors The Java Module System Introduction to the Module System Time Permitting Formatting Strings Introduction to Annotations Java 12 and beyond Additional course details: Nexus Humans Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Database Administrators, Database Developers, BI professionals, and Business reporting users. Overview Upon successful completion of this course, students will be able to run Queries and retrieve results, perform conditional searches, and retrieve data from multiple tables. Before starting this course, make sure you meet at least one of the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Basic working knowledge of Relational Databases. In this course, students will gain a good understanding of the Transact-SQL language. They will be able to create queries, sort, filter the data, execute procedures with T-SQL. Course Outline 1.Introduction to Microsoft SQL Server 2.Introduction to T-SQL Querying 3.Writing SELECT Queries 4.Querying Multiple Tables 5.Sorting and Filtering Data 6.Working with SQL Server Data Types 7.Using DML to Modify Data 8.Using Built-In Functions 9.Grouping and Aggregating Data 10.Using Subqueries 11.Using Table Expressions 12.Using Set Operators 13.Using Windows Ranking, Offset, and Aggregate Functions 14.Pivoting and Grouping Sets 15.Executing Stored Procedures 16.Programming with T-SQL

LEARN HOW TO BECOME A WEIGHT MANAGEMENT CONSULTANT WITH THE CLIENT'S HEALTH & WELLBEING AT THE CORE. A MESSAGE FROM THE AUTHOR As you enter into this study, I want you to be fully aware of what lies before you. If you save people from overweight, you will also increase life-expectancy and/or prevent the onset of serious debilitating diseases. There will also be those clients whose life has been long limited in a psychological sense and you will be able to help them to restore their sense of verve and vitality so they can again live life to the fullest extent. This will be done through learning special expertise both technically and in person-to-person relations. With these words of encouragement, I warmly welcome you to this course of study where the amount of potential job satisfaction is incalculable. DR. LAWRENCE PLASKETT Course Duration 12 months Study Hours 200 hours Course Content 13 sections Course Fee £475 Course Overview The Plaskett Weight Management Consultancy course will provide you with a detailed, systematic and scientifically-based training, fuller than any other we know of in the field. It will enable you to practise as a well-informed Weight Management Consultant and most importantly, you will be able to help and support individuals in their quest to lose weight whilst maintaining health and well-being. Learn the Basic Elements of Nutrition You will gain an understanding of the basic elements of nutrition with a focus on the key nutrients in order to avoid deficiencies when working with weight loss clients. Create Individualised Weight Loss Programmes You will develop the confidence to be able to make informed choices from a wide span of weight loss options and avoid the use of rigidly fixed methods, thereby delivering programmes best suited to individual needs. Become a Skilled Adviser You will learn the skills to be able to counsel on a one-to-one basis, we believe that this favours the resolution of individual circumstances and problems. You will receive the training to see your clients through every stage of the process, thereby maximising their chances of success. Expand Practice of Current Health Professionals In addition to those wanting to set up practice as a Weight Management Consultant, this course is ideally suited to current health & fitness professionals looking to enhance their practice. BREAKDOWN OF THE COURSE SECTIONS The Weight Management Consultancy Diploma includes the following 13 sections: SECTION 1 BASIC SCIENCE SUPPORT Whilst our main concern will be with weight loss, we need to understand some of the basic aspects of nutrition. These deal with the key nutrients that we have to control to reduce weight. They will also help us to understand how to lose weight without developing deficiencies.  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 and ultimately help to decide an individual's size. You will need to understand these so as to manipulate them with skill. Areas Covered What are the bulk nutrients? Chemical elements contained in the bulk nutrients Proteins Carbohydrates Fibre Fats The energy reserve role of fat The lipoproteins of the blood SECTION 2 UNDERSTANDING THE FIELD & NATURE OF THE PROBLEM This section introduces the basic ideas of the training. The purpose of this course of training is to enable the student to help others who are overweight or obese to lose weight, and to do so in a professional manner. At the same time, it aims to motivate you and empower you to set up a practice as a ‘Weight Management Consultant’ that will lead to your gaining a good reputation in this field, developing a panel of satisfied clients and bringing you both status and income.  Since losing weight is not easy, one has to be aware of all the different methods and ramifications that are a part of this intriguing subject. The professionalism comes from knowing a number of different “ways in” to help the clients and also from being able to develop awareness of the individuality of each client. This will put you in a position to find the best and most successful route to weight loss for each person who consults you. This will mean giving individual advice, not just the same advice to everyone. By recognising individuality we earn the client’s trust and appreciation and we also increase the chances of achieving the fullest possible success by being in a position to find individual solutions to each client’s problem. Areas Covered The aims of the work The clients’ motives The clients themselves The clients’ knowledge of nutrition The place of psychology The arithmetical equation of body weight Ways of working Getting fat is all too easy – we review how it happens Definition and classification: criteria for weight normality SECTION 3 THE THEORY OF THE CAUSES OF OVERWEIGHT & OBESITY In this section we explore 'The Theory of what Causes Overweight and Obesity'. We look at the underlying reasons for this current epidemic scale of the problem in developed societies throughout the world. Understanding this will give you an insight into what needs to be done. The Weight Management Consultant clearly needs to understand as fully as possible the causes of obesity in order to be able to formulate good advice. It is necessary to understand that, although the ultimate cause is always eating more than the body requires, that factor is modified by many subsidiary factors. One, that always interests clients, is whether or not one may be predisposed by one’s inheritance to put on and retain weight, so we deal with this question. Areas covered Relative effect of genetics and environment Hormonal disturbance in obesity Slower than normal rates of energy expenditure The role of fat cells Role of the enzyme lipoprotein lipase SECTION 4 THE HEALTH CONSEQUENCES OF EXCESS WEIGHT It is well known that being overweight or obese increases the chances of contracting chronic illnesses. This section examines the types of illnesses involved and the way that their incidence is affected by body weight. From the standpoint of a Weight Management Consultant, the use of this information is to present clearly the vital benefits that your work can bring to your clients in terms of freedom from illness. This knowledge can augment your job satisfaction, especially when you can see the client’s health condition improving as weight comes down. That can be expected to happen sometimes, but of course not always. So, potentially this information can serve to inform your clients about the degree to which slimming down from an overweight or obese condition can help them to avoid very negative health consequences. By passing on parts of this data to some carefully selected clients, you may perhaps either improve their flagging motivation, or increase their satisfaction level with their early results or with the efforts they are making. Areas covered The connection between overweight and ill health The risk of early death Illness and death from cardiovascular disease Illness and death from diabetes mellitus Illness and death from hypertension Illness and death from respiratory problems Illness and death from gallbladder disease Illness and immobility from arthritis Illness from gout Illness and death from cancer SECTION 5 FIRST PRINCIPLES OF CORRECTING EXCESS WEIGHT In this section we approach the practical side of the Weight Management Consultant’s job. The greatest skill required of the Consultant is that of formulating the advice in a way that combines efficacy with client acceptability. The mistake most often made in the approach to weight reduction is to employ only one method yet in pursuing reduction in a person’s weight, it is best to come at the problem from multiple angles simultaneously. The person’s diet may well have to be the first and foremost approach however, the main alternative approaches involve several different ways of preventing excess food materials from being stored, leading to overweight.  If control of the diet is the only method one employs, then so much depends upon strict dietary control that the will and the motivation of the client may be too severely tested. However, an approach in which dietary control takes pride of place, but is supported by a number of other approaches, is more likely to find client acceptability and is therefore more likely, ultimately, to be successful. In this section we list these “prevention of storage” approaches before dealing more fully with the diet. Areas covered Strategy of weight control Reduction of food intake The use of balanced hypocaloric diets Strategies for reducing food intake in practice Using foods intended to increase metabolic rate Mixtures of the various strategies SECTION 6 REDUCING WEIGHT THROUGH DIET & DIETARY COMPOSITION The principal purpose of this section is to understand the scope that we have to reduce food calories in the diet without necessarily reducing the total weight of food consumed. It looks closely at understanding and measuring food energy. Working in this way with diet is kindest to the clients and makes fewer demands upon their efforts and their will to succeed. Areas covered Understanding food energy The make-up of daily diets What does the body have to do with tis energy? Water content of foods The differing energy contents of food dry matter Substituting low-calorie for high-calorie foods The first stage of calorie reduction Combining diet with exercise A further stage of calorie reduction SECTION 7 SELECTING INDIVIDUAL FOODS The previous section talks mainly about the first principles of reducing calorie intake while keeping the weight of daily food dry matter level. This is done mainly by varying the extent to which each food class contributes to the overall diet; we simply reduce the proportions of those food classes with the higher calorie content. This section now looks within food classes to pick out those foods that, individually, have lower calorie content than the average for foods within the class concerned and make the best contribution to an individual client’s diet. This is a further step to calorie reduction without loss of food bulk. Areas covered Different foods within any given class have different calorific values Choosing foods within food classes for calorie reduction Specific recommendations for individual foods within each class Care needed in using the information Calorie contents of the “more suitable foods” Dietary results from substituting individual foods The necessary provision of dietary fat The quality of dietary protein The quantity of dietary protein Choosing foods for overall dietary suitability SECTION 8 BUILDING YOUR KNOWLEDGE OF FOODS INTO DIETS In the Sections that have gone before, we have noted several key strategies aimed at reducing the client’s intake of calories. This section gets down to the key job of building and structuring a diet to help each particular client - the aim now is to address the actual prescribing of diets to enable you to build upon the principles already learned and to give the client a workable diet that can achieve his or her aims. Areas Covered The adjusting and re-balancing of the food classes Calculating the food replacements Targeting individual foods SECTION 9 FIRST LOOK AT CONDUCTING CONSULTATIONS This section takes you through managing the consultation, helping you to structure the activity to provide a satisfactory experience for your clients. This is the basis for a good approach to weight reduction.  The section culminates in the provision of example diet sheets with guidelines according to food classes and guidelines according to mealtimes and considers the benefits of both. Areas Covered The consultant’s surroundings and manner Direction of the early conversation Collection of the dietary data Weight-loss ideas come to you during the data collection Identifying the largest food contributions to overweight Balancing the food classes Writing down the guidelines Substitution of individual foods Reduction in the food bulk eaten Integrating the entire diet Example diet sheets SECTION 10 COUNTING CALORIES. BENEFITS OF EXERCISE. THE KETO DIET. In section 10 we cover the method of calculating the calories in everyday life. We look at the benefits of exercise for suitable clients and discuss more specific diets such as the ketogenic diet.  Areas Covered Calculating the calories The benefits of exercise The ketogenic diet SECTION 11 PROMOTING GOOD HEALTH. UNDERSTANDING DRUG TREATMENTS. FOLLOW-UP GUIDELINES. Brings us to the section where we set about designing slimming programmes that are not only effective at weight loss, but also promote good health. To give you an insight into the potential problems, we also look at the drug treatments given for overweight by doctors. We also take you through the guidelines for follow-ups after the first consultation. Areas Covered Slimming programmes to promote good health Understanding drug treatments for overweight Follow-up guidelines SECTION 12 USE OF SUPPLEMENTS TO PROMOTE LOSS OF WEIGHT This section deals with non-food substances, or supplements that with help with weight loss. It looks at how they actually achieve this and discuss their effectiveness and safety implications for the individual. These include some micronutrients, herbs, enzyme inhibitors and sequestering agents. Areas Covered Inhibition of fat absorption Changing body composition Substances encouraging increased thermogenesis Appetite suppressants Enzyme inhibition Prevention of fat synthesis Nutrients that may accelerate metabolism Appendix 1 – some abstracts of key articles Appendix 2 – summary of modes of action SECTION 13 MANAGING This rather substantial last section deals with a fuller and final part on “Managing the Consultations”. This further develops your consultation skills and objective setting in weight management practice. It also addresses the tricky question of compliance and weight regain and how to avoid it. Finally, it looks at “Running your Practice as a Business” to ensure that you have a grasp of the business principles that you will need. Areas Covered Managing the consultations – basic methodology Note on progressive reduction in energy needs Construction of the overall prescription – different components Running your practice as a business Appendix (more about why the slimming process slows down) TESTIMONIALS Here's what students have to say about the course Mrs E. Marriott UK “The Plaskett course in Weight Management Consultancy has been a really good introduction into the importance of nutrition and balancing food groups to make up a healthy diet plan for those who are obese and wishing to lose weight. It would be good if you want to do it for your own understanding or if you are looking for a step into a professional qualification or practicing yourself. The tutors communicate with you and give you detailed feedback on assignments and the work is achievable within a year, quicker if your apply yourself. There is a lot of information in the course surrounding basic nutrients, composition of foods and on how to set up and run your own practice”.

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Historical Association webinar series: History and literacy: better together Presenter: Andrew Wrenn This practical webinar will show how the writing and insights of real historians can be used across medium-term plans in primary history. It will give examples of how historians' ideas can be simplified for presentation in different ways, how their methods can be echoed for pupils in tasking, and how pupils can explore the original evidence historians use to support their conclusions - including how pupils can test the validity of these conclusions as historical interpretations. To use your corporate recording offer for this webinar please complete this form: https://forms.office.com/e/HYhgpvBBuG