Liverpool

Wrexham

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span id="isPasted" style="color: rgb(55, 55, 55); box-sizing: border-box;" fr-original-style=" color: rgb(55, 55, 55);">Basic Life Support and Safe use of an Automated External Defibrillator &ndash; Did you know that following a cardiac arrest, every minute without CPR and defibrillation reduces a casualty&rsquo;s chance of survival by 10%? Sudden cardiac arrest is one of the UK&rsquo;s biggest killers, and yet statistics show that most of the British public are unaware of the life-saving difference they can make by performing CPR and defibrillation.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(55, 55, 55); box-sizing: border-box;" fr-original-style=" color: rgb(55, 55, 55);"><span id="isPasted" style="color: rgb(55, 55, 55); box-sizing: border-box;" fr-original-style=" color: rgb(55, 55, 55);">Basic Life Support and Safe use of an Automated External Defibrillator &ndash; Did you know that following a cardiac arrest, every minute without CPR and defibrillation reduces a casualty&rsquo;s chance of survival by 10%? Sudden cardiac arrest is one of the UK&rsquo;s biggest killers, and yet statistics show that most of the British public are unaware of the life-saving difference they can make by performing CPR and defibrillation.</span><br fr-original-style="" style="box-sizing: border-box;"></span></p><p id="isPasted" style="color: rgb(55, 55, 55); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 55, 55);">For more information on our training courses please <a href="https://www.liverpooltrainingsolutions.uk.com/contact-us/" style="color: rgb(25, 130, 209); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" title="Contact Us" fr-original-style=" color: rgb(25, 130, 209);">email us</a>. Or why not call us on<span style="color: rgb(128, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(128, 0, 0);">&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">0151 515 0416&nbsp;</strong></span>and speak to our staff.</p><p style="color: rgb(55, 55, 55); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 55, 55);">Please visit the <a href="https://www.resus.org.uk/public-resource/defibrillation" rel="noopener noreferrer" style="color: rgb(25, 130, 209); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" target="_blank" fr-original-style=" color: rgb(25, 130, 209);">Resuscitation Council (UK)</a> website for further information on having an Automated External Defibrillator in your business.</p><p style="color: rgb(55, 55, 55); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 55, 55);"><a href="https://www.liverpooltrainingsolutions.uk.com/basic-life-support-and-safe-use-of-an-automated-external-defibrillator/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Basic Life Support and Safe use of an Automated External Defibrillator</a></p>

Training Course Solutions

Basic Life Support and Safe use of an AED

Harpenden

<p>A high-impact programme designed to be fun and to get people fully involved. The first-class, jargon-free content is based on what people need to know in practice, not off-putting legal language.</p><h4>This introductory course covers:</h4><ul><li><strong>Introducing Working Safely:</strong> Accidents can happen to anyone. The realities of the human suffering behind the statistics. The importance of personal responsibility.</li><li><strong>Defining hazard and risk:</strong> Focusing on the six broad hazard groups, participants are asked to think about the hazards and risks they come across in their own work. 'Risk assessment' demystified.</li><li><strong>Identifying common hazards:</strong> All the main issues - aggression and violence, asbestos, bullying, chemicals and harmful substances, computer workstations, confined spaces, drugs and alcohol, electricity, fire, getting in and out, height, housekeeping, lighting, manual handling, noise, personal hygiene, plant and machinery, slips and trips, stress, temperature, vehicles and transport, and welfare facilities.</li><li><strong>Improving safety performance:</strong> Bridging the gap between management and workforce, encouraging participants to play their part. Also covered: contract work, inspections, safe systems and permits, protective equipment, signage, emergency procedures, reporting and health checks.</li></ul>

The In House Training Company

First Aid At Work

Site Management Safety Training Scheme (SMSTS)

Workplace Health & Safety

IOSH

Working Safely

Health & Safety At Work

Working Safely - IOSH Award (In-House)

<p>Mental Health First Aid England Aware is an introductory course designed to increase mental health awareness and give an understanding of how to look after wellbeing and challenge stigma.</p>Through an interactive instructor-led live session, you will learn:<ul><li>What mental health is and how to challenge stigma</li><li>An introduction to some common mental health issues</li><li>Confidence to support someone who may be experiencing mental ill health</li><li>Ways to look after your own mental health and support wellbeing</li></ul><section>
                    <h3>Outline</h3><ul><li>What is mental health?</li><li>Mental Health Continuum</li><li>Factors that affect mental health</li><li>Stigma</li><li>Stress and stress management</li><li>Spotting signs of distress</li><li>Mental health conditions:<ul><li>Depression</li><li>Anxiety disorders</li><li>Psychosis</li><li>Eating disorders</li><li>Suicide</li><li>Self-harm</li></ul></li><li>Recovery</li><li>Take 10 Together - starting a supportive conversation</li><li>Supporting mental health in the workplace</li><li>Useful statistics</li><li>Helpful resources</li></ul> 


                </section>

Mental Health Awareness

Mental Health First Aid

Psychological First Aid

Mental Health

Mental Health At Work

ACT Awareness

Mental Health Aware (In-House)

<p>The learning objectives that we believe you require to be covered within the training include:</p><ul><li>A detailed understanding of the CDM 2015 Regulations and how they should work in practice</li><li>An understanding of the key roles (Designer, Principal designer, contractor, principal contractor and client) under CDM 2015</li><li>What constitutes design and when you may be acting as a designer</li><li>The requirements for notification</li><li>Pre construction information, the construction phase plan and the H&amp;S file</li><li>An opportunity for delegates to ask questions and gain clarification on specific project requirements</li></ul><section>
                    <h3>1 Introduction</h3><ul><li>Why manage health and safety?</li><li>The costs of accidents</li><li>Construction industry statistics</li><li>Why CDM 2015?</li></ul> <h3>2 Overview of health and safety law and liabilities</h3><ul><li>Criminal and civil law</li><li>Liability</li><li>Enforcement and prosecution</li><li>Compliance - how far do we go?</li><li>Statutory duties</li></ul> <h3>3 Health and safety law in construction - the current framework</h3><ul><li>Framework of relevant legislation<ul><li>Health and Safety at Work etc Act 1974</li><li>Management of Health and Safety at Work Regulations 1999</li><li>Construction (Design and Management) Regulations 2015</li><li>Work at Height Regulations 2005</li></ul></li><li>Who is responsible for the risks created by construction work?</li><li>Shared workplaces/shared responsibilities</li><li>Control of contractors - importance of contract law</li></ul> <h3>4 CDM 2015 - the principles and current best practice</h3><ul><li>Scope - what is construction?</li><li>Application - when do the Regulations apply?</li><li>The CDM management system<ul><li>Dutyholders (client, designer, principal designer, principal contractor, contractor)</li><li>Documents (pre construction information, Notification, construction phase Plan, H&amp;S File)</li><li>Management process</li></ul></li><li>The 2015 HSE guidance / industry best practice</li><li>Clarification of roles and responsibilities</li></ul> <h3>5 Competence under CDM 2015</h3><ul><li>What is 'Competence'?</li><li>The criteria to be used in construction</li><li>Achieving continuous improvement</li></ul> <h3>6 Part 4 Construction Health Safety and Welfare</h3><ul><li>Overview of Part 4</li><li>Responsibilities</li><li>Welfare arrangements</li></ul> <h3>7 Risk assessment and the role of the designer</h3><ul><li>Principles of risk assessment</li><li>Loss prevention / hazard management</li><li>What is a suitable risk assessment?<ul><li>Design <em>v</em> construction risk assessment</li><li>The client is a designer?</li><li>Whose risk is it?</li></ul></li></ul> <h3>8 Risk assessment exercise</h3><ul><li>Understanding the principles of design risk assessment</li><li>Identifying hazards under the control of clients and designers</li><li>Quantifying the risk</li></ul> <h3>9 Questions, discussion and review</h3> 


                </section>

Construction Management

Construction Safety

Health & Safety Awareness

Construction Design & Management (CDM)

CDM 2015 - in-depth (In-House)

<p>This one-day course focuses on issues such as writing formulas and accessing help while writing them, and taking formulas to the next level by nesting one inside another for a powerful formula result.  It also looks at ways of analysing data with reports, summarised by varying criteria. A range of time-saving tips and tricks are shared.</p>This course will help participants:<ul><li>Calculate with absolute reference</li><li>Group worksheets</li><li>Link to tables</li><li>Use the function library effectively</li><li>Get to grips with the logical IF function</li><li>Use conditional formatting</li><li>Create pivot table reports</li><li>Use data validation</li><li>Master the VLOOKUP function</li></ul><section>
                    <h3>1 Calculating with absolute reference</h3><ul><li>The difference between a relative and absolute formula</li><li>Changing a relative formula to an absolute</li><li>Using $ signs to lock cells when copying formulas</li></ul> <h3>2 Grouping worksheets</h3><ul><li>Grouping sheets together</li><li>Inputting data into multiple sheets</li><li>Writing a 3D formula to sum tables across sheets</li></ul> <h3>3 Linking to tables</h3><ul><li>Linking to a source table</li><li>Using paste link to link a table to another file</li><li>Using edit links to manage linked tables</li></ul> <h3>4 The function library</h3><ul><li>Benefits of writing formulas in the function library</li><li>Finding the right formula using insert function</li><li>Outputting statistics with COUNTA and COUNTBLANK</li><li>Counting criteria in a list with COUNTIFS</li></ul> <h3>5 Logical IF Function</h3><ul><li>Outputting results from tests</li><li>Running multiple tests for multiple results</li><li>The concept of outputting results from numbers</li></ul> <h3>6 Conditional formatting</h3><ul><li>Enabling text and numbers to standout</li><li>Applying colour to data using rules</li><li>Managing rules</li><li>Copying rules with the format painter</li></ul> <h3>7 View side by side</h3><ul><li>Comparing two Excel tables together</li><li>Comparing two sheets together in the same file</li></ul> <h3>8 Pivot table reports</h3><ul><li>Analysing data with pivot tables</li><li>Managing a pivot table's layout</li><li>Outputting statistical reports</li><li>Controlling number formats</li><li>Visualising reports with pivot charts</li><li>Inserting slicers for filtering data</li></ul> <h3>9 Data validation</h3><ul><li>Restricting data input with data validation</li><li>Speeding up data entry with data validation</li></ul> <h3>10 VLOOKUP function</h3><ul><li>Best practices for writing a VLOOKUP</li><li>A false type lookup</li><li>A true type lookup</li><li>Enhance formula results with IFNA</li></ul> <h3>11 Print options</h3><ul><li>Getting the most from print</li><li>Printing page titles across pages</li><li>Scaling content for print</li></ul> 


                </section>

Office Skills & Productivity

Office Skills

Excel Analytics

Access VBA

Microsoft Excel

Spreadsheet

Excel - intermediate (In-House)

<p>This course provides participants with a comprehensive understanding of the requirements of the CDM Regulations 2015 and how these should be implemented in practice.</p><p>The Regulations are put in context with other key health and safety legislation. The programme sets out clearly the roles and responsibilities of the principal duty holders and explores with the participants how these roles may vary on different types of project and procurement routes. The programme examines the content and appropriate level of information that should be included in the Pre-Construction Information and the Construction Phase Plan.</p><p>The trainer will discuss best practice in implementing CDM through the new 2015 Regulations and Guidance.</p>This course is essential for anyone who is involved in the procurement, planning, design or implementation of construction work. The course will provide you with:<ul><li>An overview of construction health and safety law, liability and enforcement</li><li>A detailed understanding of the 2015 CDM Regulations and the part they play with other key legislation</li><li>An explanation of the roles and responsibilities of all duty holders and the requirements for the CDM documentation</li><li>Clear advice on current best practice for complying with the principles of the CDM Regulations and the changes introduced by the 2015 Regulations</li><li>An understanding of how risk assessment should be applied practically throughout the design and how this responsibility is then transferred to contractors</li></ul><section>
                    <h3>1 Introduction</h3><ul><li>Why manage health and safety?</li><li>The costs of accidents</li><li>Construction industry statistics</li><li>Why CDM?</li><li>Health and safety culture in the construction industry</li></ul> <h3>2 Overview of health and safety law and liabilities</h3><ul><li>Criminal and civil law</li><li>Liability</li><li>Enforcement and prosecution</li><li>Compliance - how far do we go?</li><li>Statutory duties</li></ul> <h3>3 Health and safety law in construction</h3><ul><li>Framework of relevant legislation</li><li>Health and Safety at Work etc Act 1974</li><li>Management of Health and Safety at Work Regulations 1999</li><li>Construction (Design and Management) Regulations 2015</li><li>Who is responsible for the risks created by construction work?</li><li>Shared workplaces/shared responsibilities</li><li>Control of contractors - importance of contract law</li></ul> <h3>4 Construction (Design and Management) Regulations 2015</h3><ul><li>Scope - What is construction?</li><li>Application - When do they apply?</li><li>The CDM Management System</li><li>Duty holders (Client, Domestic Client, Designer, Principal Designer, Principal Contractor, Contractor)</li><li>Documents (HSE Notification, Pre-Construction Information, Construction Phase Health &amp; Safety Plan, H&amp;S File)</li><li>Management process</li><li>The 2015 Guidance</li></ul> <h3>5 Best practice - key issues in the CDM process</h3><ul><li>The client and client management arrangements</li><li>Competence and resource under CDM 2015</li><li>The role of the Principal Designer in practice</li><li>Design risk assessment and the role of the Designer</li><li>The CDM Documents (PCI, PCI Pack, Plan and File)</li><li>Construction health, safety and welfare</li><li>Making CDM work in practice</li></ul> <h3>6 Questions, discussion and review</h3> 


                </section>

CSCS (Construction Skills Certification Scheme)

Commercial & Contract Management Certification Program (CCM)

CDM 2015 - Understanding and achieving best practice (In-House)

<p>A flexible, modular-based, programme to heighten participants' awareness of ways in which their operations can affect the environment, the principles of environmental management and the practical steps they need to take as individuals and as an organisation to improve environmental performance.</p>Depending on the course modules selected, this programme will give participants:<ul><li>Increased awareness of relevant environmental issues</li><li>A greater understanding of, and commitment to, the organisation's environmental management programme</li><li>Preparation for any responsibilities they may have under an Environmental Management System</li><li>Further benefits according to options chosen</li></ul><section>
                    <h3>1 Environmental awareness</h3><ul><li>Definition of 'the environment'</li><li>Key environmental issues<ul><li>Global warming</li><li>Ozone depletion</li><li>Acid rain</li><li>Air quality</li><li>Water pollution</li><li>Contaminated land</li><li>Land take and green belt shrinkage</li><li>Resource usage</li><li>Habitat destruction and species extinctions.</li></ul></li><li>Option: This module can be used to explain the key environmental issues related to the activities of your own organisation. Diagrams, photos, pictures, examples and statistics relevant to your own organisation are used where possible to illustrate the points being made.</li></ul> <h3>2 Environmental legislation</h3><ul><li>Key elements of environmental legislation affecting the activities of your organisation - including international, European and UK legislation.</li><li>Legislation of particular relevance to your organisation - how it affects the operations of your organisation</li><li>Option: Legislation can be dealt with according to which aspect of the environment it protects (eg, air, water, waste) or which part of your organisation's activities it affects</li><li>Consequences of breaching legislation</li></ul> <h3>3 Environmental management systems</h3><ul><li>Overview of what an environmental management system is<ul><li>How is an Environmental Management System (EMS) designed and put together?</li><li>Key elements (emphasising Plan - Do - Check - Review cycle)</li><li>The need to continually improve</li></ul></li><li>Pros and cons<ul><li>Reasons for having an EMS</li><li>Benefits of an EMS</li><li>Consequences of not managing the environment</li><li>Costs of installing an EMS</li></ul></li><li>Explanation of ISO 14001 and EMAS standards and guidance as applicable to the EMSs of your organisation<ul><li>Overview of your organisation's EMS</li><li>How it was set up / is being developed / operates</li><li>Who is responsible for it</li><li>Key parts of system (eg, environmental policy, objectives and targets) identified and discussed</li><li>EMS documentation - what and where it is.</li></ul></li><li>Workshop option: Brainstorm 'Pros and cons' with the participants, come up with all their ideas for good and bad things about EMS and demonstrate that the 'good' list is longer than the 'bad'</li></ul> <h3>4 Environmental consequences</h3><ul><li>Define what an environmental impact is and discuss how they are determined, with reference to the EMS</li><li>Identify why we want to determine the environmental consequences of operations and activities; how they are used in the EMS for planning, and reducing the impact on the environment</li><li>Establish key environmental consequences of construction and operational activities on the site; discuss significance ranking and the control measures in place in your organisation.</li><li>Workshop option: In small groups, participants are asked to identify the impact on the environment of your organisation's activities or a part of their activities. They are then asked to rank these impacts in terms of their significance, using guidelines provided to help them be aware of the contributing factors (eg, frequency, severity). For a selected number of the impacts, the participants are asked to identify what control measures there are and which of these they play a part in. All stages can be discussed with trainers as a whole group at various stages during the workshop.</li></ul> <h3>5 Protected species, nature conservation and invasive weeds</h3><ul><li>Nature conservation, landscape and visual issues in the planning process - overview of key nature UK wildlife legislation, EIA, appropriate timing of surveys, Hedgerow regulations and landscape and visual impact issues</li><li>Ecological issues - ecological legislation, significant species, hedgerows</li><li>Archaeology in the development process - why archaeology is important, organisation in the UK, legislation and planning guidance</li><li>Construction phase issues and consents - major environmental issues during construction, including water resources and land drainage consents, discharges to land or water, water abstraction, public rights of way, tree protection, waste management, Special waste, noise, good practice pollution control and Environmental Audits</li><li>Identification and management of invasive weeds - including legal position regarding management</li></ul> <h3>6 Chemicals and fuels handling and storage</h3><ul><li>How health and safety management is closely linked to environmental management of materials</li><li>Planning - what mechanisms are in place for planning materials use; legislation, guidance and policies which define how to manage materials</li><li>Materials storage - what are the considerations for storing materials, covering:<ul><li>Labels: what are the different types and what do they tell us?</li><li>Storage facilities: what are the requirements for safe storage of materials (eg, signs, secondary containment, access, segregation, lids/covers)</li><li>Handling: safe handling for protecting the environment, organisational procedures, high risk situations (eg, decanting, deliveries), how to reduce the risks (eg, use of funnels, proper supervision, training)</li><li>COSHH and MSDS: brief explanation of legislation and its role in environmental control of hazardous materials, how to use the information provided by COSHH assessments</li></ul></li><li>Option: These sessions can be illustrated with photographs/pictures and examples of good and bad storage and handling practices</li><li>Workshop Options: Labelling Quiz - quick-fire quiz on what different labels tell us; Build a Storage Facility - participants are asked to consider all the environmental requirements for building a safe storage facility for their organisation</li></ul> <h3>7 On-site control measures</h3><ul><li>Overview of the legislation associated with nuisance issues on site and mitigating problems when they arise</li><li>Examples of bad practice, including fuel storage tanks and mobile equipment - costs involved with prosecution of fuel spills, remediation costs, management costs, legal fees, bad PR coverage</li><li>Identification and management of contaminated land and relevant legislation</li><li>Workshop option: Participants are provided with a site plan containing information on site features, environmental conditions and indications of potential issues</li></ul> <h3>8 Waste management</h3><ul><li>Why worry about waste? - a look at how waste disposal can impact on the environment, illustrated by examples of waste-related incidents, statistics on waste production on national, industry-wide and organisational levels, landfill site space, etc</li><li>Legislation - overview of the relevant legislation, what the main requirements of the regulations are, what penalties there are, and the associated documentation (waste transfer notes)</li><li>Waste classification - a more in-depth look at how waste is classified under legislation according to hazardous properties, referring to Environment Agency guidance</li><li>Handling and storage requirements - what are the requirements of the applicable waste legislation and how are they covered by organisational procedures? Examples of good and bad environmental practice associated with handling and storing waste.</li><li>Workshop option: 'Brown bag' exercise - participants pass round a bag containing tags each with a different waste printed on. They are asked to pick out a tag and identify the classification and the handling, storage and disposal requirements for the waste they select</li><li>Waste minimisation - overview of the waste minimisation 'ladder' and its different options (elimination, reduction, reuse and recycling), benefits of waste minimisation, examples of waste minimisation techniques</li><li>Workshop option: Participants are asked to identify opportunities that actually exist within the organisation for minimising production of waste that are not currently being taken advantage of</li></ul> <h3>9 Auditing</h3><ul><li>Requirements for environmental auditing of operations</li><li>Auditing the EMS</li><li>Types of internal and external audits</li><li>Requirements EMS standards (ISO 14001 and EMAS)</li><li>Carrying out internal audits and being prepared for external audits</li><li>Workshop options:<ul><li>Mock audit 'Brown Bag' - can be used either for trainers to test participants as if they were in an audit situation, or for the participants to test each other and practice their auditing technique. The bag contains tags each with a different topic printed on (eg,<br />waste skips); participants pass the bag round and select a tag; they are then questioned by the trainer or another participant about that topic as if they were in an audit situation. If the participants are auditing each other, they will be provided with a set of guidelines to keep in mind during the workshop.</li><li>Virtual auditing - a more practical workshop where participants review photographs of situations/activities relevant to the organisation's operations. They are asked to identify all the good and bad environmental practices that are occurring in the situations.</li></ul></li></ul> <h3>10 Incident response</h3><ul><li>What should you do when an incident does happen?</li><li>What should be in a spill kit?</li><li>When should you call in the experts?</li><li>When should you inform the Environment Agency or Environmental Health Officer?</li><li>Workshop option: The participants are provided with some incident scenarios and asked to develop a response to the incident</li></ul> <h3>11 Monitoring and reporting</h3><ul><li>Environmental monitoring programmes and procedures</li><li>Monitoring and reporting as control measures for environmental consequences</li><li>Monitoring and environmental 'STOP' card systems - personal and behavioural monitoring and reporting</li></ul> 


                </section>

Environmental Psychology

Environmental Management System

Environmental Project Management

Environmental Awareness

Environmental & Social Framework (ESF)

Environmental Impact Assessment

Environmental awareness and management (In-House)

London

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Personal Tax Return and Self Assessment training Course</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Most self-employed people and directors of companies have to do submit a Tax Return every year. If you are a self-employed person you may learn how to do tax return yourself. As a result, you can save money by not having to pay an external agent. Don&#39;t forget You can also save more money as you will know more about how to apply for a tax rebate. According to statistics, more than 60% of taxpayers not sure how to do tax return correctly and lose money for not knowing how to apply for a tax rebate correctly.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">If you want to offer tax services to the general public, then skills in this sector can dramatically improve your job prospect or business prospect.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">How to do a tax return</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Firstly, you need to be registered with HMRC to process your tax return. You should get a UTR (Unique Tax Reference) no, which is your personal identification no for tax purpose. Once you have details for all incomes and expenditure, you can submit them electronically to HMRC. The deadline for submitting a personal tax return is 31 January for the previous tax year.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Apply for a Tax Rebate</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">It is possible that you could be eligible for a tax rebate.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The most possible scenarios are</p>
<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">When you pay more tax than required</li>
<li fr-original-style="" style="box-sizing: border-box;">Submitting an incorrect tax return</li>
<li fr-original-style="" style="box-sizing: border-box;">Claiming special Tax relief</li>
</ul>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">There could be many more reasons why should you get a tax refund. It is vital to know the scenarios under which you should apply for a tax rebate.</p><section fr-original-style="" style="box-sizing: border-box;">
                    <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Identify the type(s) of returns that may be completed</li><li fr-original-style="" style="box-sizing: border-box;">Understand the duties and responsibilities of a bookkeeper / tax agent when completing self-assessment tax returns</li><li fr-original-style="" style="box-sizing: border-box;">Calculating the taxes on profits for Self Employed &amp; on income for Employed individuals</li><li fr-original-style="" style="box-sizing: border-box;">Understanding differences between Drawings &amp; Dividends</li><li fr-original-style="" style="box-sizing: border-box;">Introduction to UTR and NI Classes</li><li fr-original-style="" style="box-sizing: border-box;">Understanding Tax Return submission procedures to HMRC (using 2 individual Scenarios)</li><li fr-original-style="" style="box-sizing: border-box;">Analysing Class 2 &amp; Class 4&nbsp;NIC</li><li fr-original-style="" style="box-sizing: border-box;">Analysing Personal Allowance</li><li fr-original-style="" style="box-sizing: border-box;">Analysing Income from Self Employments</li><li fr-original-style="" style="box-sizing: border-box;">Employment benefits&nbsp;Analysis</li><li fr-original-style="" style="box-sizing: border-box;">Analysis of Car &amp; Fuel benefits</li><li fr-original-style="" style="box-sizing: border-box;">Analysis on savings and investment income and tax implications on them.</li><li fr-original-style="" style="box-sizing: border-box;">Introduction to Capital Gains Tax analysis</li><li fr-original-style="" style="box-sizing: border-box;">Introduction to Inheritance Tax Analysis</li><li fr-original-style="" style="box-sizing: border-box;">Understanding the procedure for payment and administration of both tax and National Insurance Contributions</li></ul>


                </section>

Osborne Training

Personal Tax Return and Self Assessment training Course

<p>This very practical workshop has a simple objective: to help you prepare, design and deliver memorable and high-quality presentations.</p>This programme will help you:<ul><li>Use a proven, structured tool-kit when designing and developing presentations</li><li>Benefit from short cuts and best practice when designing and using Powerpoint presentations</li><li>Select the right information, examples, exercises and activities - and use them well</li><li>Prepare and structure a presentation or session appropriate to the audience, and to best achieve your objectives</li><li>Maintain audience or group interest</li><li>Develop and practise presentation skills to improve your voice tone, speech power and body language</li><li>Use practical methods to control nerves and anxiety - develop higher levels of confidence and credibility</li><li>Command a room, hold attention and create a high impact</li></ul><section>
                    <h3>1 Introduction</h3><ul><li>Personal objectives</li><li>Key messages and learning objectives of the workshop</li></ul> <h3>2 Presentation skills</h3><ul><li>What does good look like?</li><li>Exercise: Characteristics of high/low impact presentations</li><li>Presenting yourself as a 'winner'</li><li>The energy / attitude model</li><li>Exercise: Being a winner</li></ul> <h3>3 Preparation skills - eight steps to preparing a great presentation, plus Powerpoint tips</h3>•The magic circle<br />• How to 'assume the role' when presenting<br />• The eight steps<br />• Step 1 - develop your objectives<br />- The five questions that you must answer before preparing your presentation<br />- Defining your objectives and outcomes<br />- Creating a first draft<br />- Step 1 exercise<br />• Step 2 - analyse your audience<br />- Doing your homework: audience, event, venue<br />- Developing a pre-event check-list<br />- Methods and means for researching your audience<br />- Step 2 exercise<br />• Steps 3 and 4 - structure the main body of your presentation and state the main ideas<br />- Ways to structure your presentation for maximum impact<br />- Balancing and managing content and topics<br />- Organising your information: 6 options and methods<br />- Your 'one main point' and creating a 30-second summary<br />- Steps 3 and 4 exercises<br />• Step 5 - decide on supporting information, using the toolkit<br />- Making your case convincing: ways to support your claims<br />- Selecting and using relevant and interesting examples<br />- Quotes, case studies and printed material<br />- Presenting statistics, tables and graphs<br />- Ways of maintaining visual interest<br />- Transitions and links, creating a 'golden thread'<br />- Step 5 exercise: Creating compelling stories and anecdotes<br />4<br />• Step 6 - create an effective 'opening'<br />- Claiming the stage and creating a good first impression<br />- The three most powerful ways of opening a presentation<br />- The five elements of a strong opening<br />- Step 6 exercise: Participants work individually to prepare an opening, focusing on<br />personal introduction, and then deliver to the group, with structured feedback<br />• Step 7 - develop transitions<br />- Step 7 exercise / examples<br />• Step 8 - create an effective close<br />- Signalling and sign-posting; the importance of, and how to do it effectively<br />- Five ways to close a presentation successfully<br />- Step 8 exercise / examples<br />• Presentation design and Powerpoint<br />- An interactive review of participants' own real-life past presentations and advanced tips<br />and techniques on using Powerpoint effectively <h3>4 Facilitation skills</h3><ul><li>The three main types of group activity - triads, teams and main group</li><li>How to select the right activity, define the objectives, set it up and run the debrief</li><li>Using energisers - with examples</li><li>Exercise: Dealing with 'difficult' behaviours</li><li>Exercise: Working in triads, design and deliver</li></ul> <h3>5 Tips and tricks: presentation and facilitation</h3><ul><li>10 reasons why facilitation fails</li><li>Five golden rules for success</li><li>Defining the session goals and the facilitation plan</li><li>Open and closed questions - why and when to use</li><li>Using a 'car park' to manage unresolved issues</li><li>Using AV aids - tips and tricks</li><li>Exercises: Including participants working in pairs to prepare a short section form of one of their own presentations</li></ul> <h3>6 Putting it all together</h3><ul><li>Summary of key learning points</li><li>Action plan</li></ul> 


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Executive Presentation

Coaching Skills

Meeting Skills

Facilitation Skills

Counselling Skills

Presentation Skills

Powerful presentation skills (In-House)

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);">Mental Health First Aid Refresher 4-hour training sessions</span></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Can you remember ALGEE?&nbsp;</strong>Mental Health Action Plan.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Empower Mental Health First Aiders and Champions to maintain their skills with regular Refresher training. Just like physical first aid, we recommend that you refresh your skills every two to three years. (Certificate expires after 3 years). &nbsp;If it&#39;s time to update your skills, book onto an MHFA Refresher course now and feel confident that you are performing your vital role safely.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Revisit the key areas from the full course. Keep up to date with the latest statistics and information.</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">If you are a Mental Health First Aider or MHFA Champion you have skills for life that support you and the people around you. &nbsp;Mental Health First Aid training can be kept up to date through this four hour MHFA Refresher course, which will empower you to: &nbsp;Update your knowledge of mental health and what influences it Update your awareness of current mental health supports available Practise applying the Mental Health First Aid Action Plan. Learning takes place through a mix of presentations, group discussions and workshop activities. We limit numbers to 20 people per course so that the instructor can keep people safe and supported, to get the most from their learning experience with us.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is for those that have completed the MHFA England Mental Health First Aid or Champion course.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><u fr-original-style="" style="box-sizing: border-box;"><a href="https://www.mindmapswellbeing.com/faq-s/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);">FAQs</span></a></u></p>

Mental Health First Aid Refresher 4-hour training sessions
Can you remember ALGEE? Mental Health Action Plan.
Empower Mental Health First Aiders and Champions to maintain their skills with regular Refresher training. Just like physical first aid, we recommend that you refresh your skills every two to three years. (Certificate expires after 3 years). If it's time to update your skills, book onto an MHFA Refresher course now and feel confident that you are performing your vital role safely.
Revisit the key areas from the full course. Keep up to date with the latest statistics and information.
If you are a Mental Health First Aider or MHFA Champion you have skills for life that support you and the people around you. Mental Health First Aid training can be kept up to date through this four hour MHFA Refresher course, which will empower you to: Update your knowledge of mental health and what influences it Update your awareness of current mental health supports available Practise applying the Mental Health First Aid Action Plan. Learning takes place through a mix of presentations, group discussions and workshop activities. We limit numbers to 20 people per course so that the instructor can keep people safe and supported, to get the most from their learning experience with us.
This course is for those that have completed the MHFA England Mental Health First Aid or Champion course. 
FAQs

Mindmaps Wellbeing

Approved Training Organisation (ATO)

Health & Wellbeing

Occupational Health & Wellbeing

Accredited Mental Health First Aid

Wellbeing

Mental Resilience

Mental Health Nurse

Empower Mental Health First Aiders and Champions to maintain their skills with regular Refresher training. Just like physical first aid, we recommend that you refresh your skills every two to three years. (Certificate expires after 3 years).  If it's time to update your skills, book onto an MHFA Refresher course now and feel confident that you are performing your vital role safely.

MHFA England Refresher 

General Admission

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.</p><p></p><p></p><p>Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.</p><p></p>Prerequisites<p></p><li>Basic understanding of Microsoft 365</li>  <li>Fundamental understanding of Microsoft security, compliance, and identity products</li>   <li> Intermediate understanding of Windows 10</li>  <li> Familiarity with Azure services, specifically Azure SQL Database and Azure Storage</li>   <li> Familiarity with Azure virtual machines and virtual networking</li>   <li>Basic understanding of scripting concepts.</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Microsoft 365 threat protection</h3> <ul> <li>Explore Extended Detection &amp; Response (XDR) response use cases</li> <li>Understand Microsoft Defender XDR in a Security Operations Center (SOC)</li> <li>Explore Microsoft Security Graph</li> <li>Investigate security incidents in Microsoft Defender XDR</li> </ul> <h3>2 - Mitigate incidents using Microsoft 365 Defender</h3> <ul> <li>Use the Microsoft Defender portal</li> <li>Manage incidents</li> <li>Investigate incidents</li> <li>Manage and investigate alerts</li> <li>Manage automated investigations</li> <li>Use the action center</li> <li>Explore advanced hunting</li> <li>Investigate Microsoft Entra sign-in logs</li> <li>Understand Microsoft Secure Score</li> <li>Analyze threat analytics</li> <li>Analyze reports</li> <li>Configure the Microsoft Defender portal</li> </ul> <h3>3 - Protect your identities with Microsoft Entra ID Protection</h3> <ul> <li>Microsoft Entra ID Protection overview</li> <li>Detect risks with Microsoft Entra ID Protection policies</li> <li>Investigate and remediate risks detected by Microsoft Entra ID Protection</li> </ul> <h3>4 - Remediate risks with Microsoft Defender for Office 365</h3> <ul> <li>Automate, investigate, and remediate</li> <li>Configure, protect, and detect</li> <li>Simulate attacks</li> </ul> <h3>5 - Safeguard your environment with Microsoft Defender for Identity</h3> <ul> <li>Configure Microsoft Defender for Identity sensors</li> <li>Review compromised accounts or data</li> <li>Integrate with other Microsoft tools</li> </ul> <h3>6 - Secure your cloud apps and services with Microsoft Defender for Cloud Apps</h3> <ul> <li>Understand the Defender for Cloud Apps Framework</li> <li>Explore your cloud apps with Cloud Discovery</li> <li>Protect your data and apps with Conditional Access App Control</li> <li>Walk through discovery and access control with Microsoft Defender for Cloud Apps</li> <li>Classify and protect sensitive information</li> <li>Detect Threats</li> </ul> <h3>7 - Respond to data loss prevention alerts using Microsoft 365</h3> <ul> <li>Describe data loss prevention alerts</li> <li>Investigate data loss prevention alerts in Microsoft Purview</li> <li>Investigate data loss prevention alerts in Microsoft Defender for Cloud Apps</li> </ul> <h3>8 - Manage insider risk in Microsoft Purview</h3> <ul> <li>Insider risk management overview</li> <li>Create and manage insider risk policies</li> <li>Investigate insider risk alerts</li> <li>Take action on insider risk alerts through cases</li> <li>Manage insider risk management forensic evidence</li> <li>Create insider risk management notice templates</li> </ul> <h3>9 - Investigate threats by using audit features in Microsoft Defender XDR and Microsoft Purview Standard</h3> <ul> <li>Explore Microsoft Purview Audit solutions</li> <li>Implement Microsoft Purview Audit (Standard)</li> <li>Start recording activity in the Unified Audit Log</li> <li>Search the Unified Audit Log (UAL)</li> <li>Export, configure, and view audit log records</li> <li>Use audit log searching to investigate common support issues</li> </ul> <h3>10 - Investigate threats using audit in Microsoft Defender XDR and Microsoft Purview (Premium)</h3> <ul> <li>Explore Microsoft Purview Audit (Premium)</li> <li>Implement Microsoft Purview Audit (Premium)</li> <li>Manage audit log retention policies</li> <li>Investigate compromised email accounts using Purview Audit (Premium)</li> </ul> <h3>11 - Investigate threats with Content search in Microsoft Purview</h3> <ul> <li>Explore Microsoft Purview eDiscovery solutions</li> <li>Create a content search</li> <li>View the search results and statistics</li> <li>Export the search results and search report</li> <li>Configure search permissions filtering</li> <li>Search for and delete email messages</li> </ul> <h3>12 - Protect against threats with Microsoft Defender for Endpoint</h3> <ul> <li>Practice security administration</li> <li>Hunt threats within your network</li> </ul> <h3>13 - Deploy the Microsoft Defender for Endpoint environment</h3> <ul> <li>Create your environment</li> <li>Understand operating systems compatibility and features</li> <li>Onboard devices</li> <li>Manage access</li> <li>Create and manage roles for role-based access control</li> <li>Configure device groups</li> <li>Configure environment advanced features</li> </ul> <h3>14 - Implement Windows security enhancements with Microsoft Defender for Endpoint</h3> <ul> <li>Understand attack surface reduction</li> <li>Enable attack surface reduction rules</li> </ul> <h3>15 - Perform device investigations in Microsoft Defender for Endpoint</h3> <ul> <li>Use the device inventory list</li> <li>Investigate the device</li> <li>Use behavioral blocking</li> <li>Detect devices with device discovery</li> </ul> <h3>16 - Perform actions on a device using Microsoft Defender for Endpoint</h3> <ul> <li>Explain device actions</li> <li>Run Microsoft Defender antivirus scan on devices</li> <li>Collect investigation package from devices</li> <li>Initiate live response session</li> </ul> <h3>17 - Perform evidence and entities investigations using Microsoft Defender for Endpoint</h3> <ul> <li>Investigate a file</li> <li>Investigate a user account</li> <li>Investigate an IP address</li> <li>Investigate a domain</li> </ul> <h3>18 - Configure and manage automation using Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Manage automation upload and folder settings</li> <li>Configure automated investigation and remediation capabilities</li> <li>Block at risk devices</li> </ul> <h3>19 - Configure for alerts and detections in Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Configure alert notifications</li> <li>Manage alert suppression</li> <li>Manage indicators</li> </ul> <h3>20 - Utilize Vulnerability Management in Microsoft Defender for Endpoint</h3> <ul> <li>Understand vulnerability management</li> <li>Explore vulnerabilities on your devices</li> <li>Manage remediation</li> </ul> <h3>21 - Plan for cloud workload protections using Microsoft Defender for Cloud</h3> <ul> <li>Explain Microsoft Defender for Cloud</li> <li>Describe Microsoft Defender for Cloud workload protections</li> <li>Enable Microsoft Defender for Cloud</li> </ul> <h3>22 - Connect Azure assets to Microsoft Defender for Cloud</h3> <ul> <li>Explore and manage your resources with asset inventory</li> <li>Configure auto provisioning</li> <li>Manual log analytics agent provisioning</li> </ul> <h3>23 - Connect non-Azure resources to Microsoft Defender for Cloud</h3> <ul> <li>Protect non-Azure resources</li> <li>Connect non-Azure machines</li> <li>Connect your AWS accounts</li> <li>Connect your GCP accounts</li> </ul> <h3>24 - Manage your cloud security posture management?</h3> <ul> <li>Explore Secure Score</li> <li>Explore Recommendations</li> <li>Measure and enforce regulatory compliance</li> <li>Understand Workbooks</li> </ul> <h3>25 - Explain cloud workload protections in Microsoft Defender for Cloud</h3> <ul> <li>Understand Microsoft Defender for servers</li> <li>Understand Microsoft Defender for App Service</li> <li>Understand Microsoft Defender for Storage</li> <li>Understand Microsoft Defender for SQL</li> <li>Understand Microsoft Defender for open-source databases</li> <li>Understand Microsoft Defender for Key Vault</li> <li>Understand Microsoft Defender for Resource Manager</li> <li>Understand Microsoft Defender for DNS</li> <li>Understand Microsoft Defender for Containers</li> <li>Understand Microsoft Defender additional protections</li> </ul> <h3>26 - Remediate security alerts using Microsoft Defender for Cloud</h3> <ul> <li>Understand security alerts</li> <li>Remediate alerts and automate responses</li> <li>Suppress alerts from Defender for Cloud</li> <li>Generate threat intelligence reports</li> <li>Respond to alerts from Azure resources</li> </ul> <h3>27 - Construct KQL statements for Microsoft Sentinel</h3> <ul> <li>Understand the Kusto Query Language statement structure</li> <li>Use the search operator</li> <li>Use the where operator</li> <li>Use the let statement</li> <li>Use the extend operator</li> <li>Use the order by operator</li> <li>Use the project operators</li> </ul> <h3>28 - Analyze query results using KQL</h3> <ul> <li>Use the summarize operator</li> <li>Use the summarize operator to filter results</li> <li>Use the summarize operator to prepare data</li> <li>Use the render operator to create visualizations</li> </ul> <h3>29 - Build multi-table statements using KQL</h3> <ul> <li>Use the union operator</li> <li>Use the join operator</li> </ul> <h3>30 - Work with data in Microsoft Sentinel using Kusto Query Language</h3> <ul> <li>Extract data from unstructured string fields</li> <li>Extract data from structured string data</li> <li>Integrate external data</li> <li>Create parsers with functions</li> </ul> <h3>31 - Introduction to Microsoft Sentinel</h3> <ul> <li>What is Microsoft Sentinel?</li> <li>How Microsoft Sentinel works</li> <li>When to use Microsoft Sentinel</li> </ul> <h3>32 - Create and manage Microsoft Sentinel workspaces</h3> <ul> <li>Plan for the Microsoft Sentinel workspace</li> <li>Create a Microsoft Sentinel workspace</li> <li>Manage workspaces across tenants using Azure Lighthouse</li> <li>Understand Microsoft Sentinel permissions and roles</li> <li>Manage Microsoft Sentinel settings</li> <li>Configure logs</li> </ul> <h3>33 - Query logs in Microsoft Sentinel</h3> <ul> <li>Query logs in the logs page</li> <li>Understand Microsoft Sentinel tables</li> <li>Understand common tables</li> <li>Understand Microsoft Defender XDR tables</li> </ul> <h3>34 - Use watchlists in Microsoft Sentinel</h3> <ul> <li>Plan for watchlists</li> <li>Create a watchlist</li> <li>Manage watchlists</li> </ul> <h3>35 - Utilize threat intelligence in Microsoft Sentinel</h3> <ul> <li>Define threat intelligence</li> <li>Manage your threat indicators</li> <li>View your threat indicators with KQL</li> </ul> <h3>36 - Connect data to Microsoft Sentinel using data connectors</h3> <ul> <li>Ingest log data with data connectors</li> <li>Understand data connector providers</li> <li>View connected hosts</li> </ul> <h3>37 - Connect Microsoft services to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft services connectors</li> <li>Connect the Microsoft Office 365 connector</li> <li>Connect the Microsoft Entra connector</li> <li>Connect the Microsoft Entra ID Protection connector</li> <li>Connect the Azure Activity connector</li> </ul> <h3>38 - Connect Microsoft Defender XDR to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft Defender XDR connectors</li> <li>Connect the Microsoft Defender XDR connector</li> <li>Connect Microsoft Defender for Cloud connector</li> <li>Connect Microsoft Defender for IoT</li> <li>Connect Microsoft Defender legacy connectors</li> </ul> <h3>39 - Connect Windows hosts to Microsoft Sentinel</h3> <ul> <li>Plan for Windows hosts security events connector</li> <li>Connect using the Windows Security Events via AMA Connector</li> <li>Connect using the Security Events via Legacy Agent Connector</li> <li>Collect Sysmon event logs</li> </ul> <h3>40 - Connect Common Event Format logs to Microsoft Sentinel</h3> <ul> <li>Plan for Common Event Format connector</li> <li>Connect your external solution using the Common Event Format connector</li> </ul> <h3>41 - Connect syslog data sources to Microsoft Sentinel</h3> <ul> <li>Plan for syslog data collection</li> <li>Collect data from Linux-based sources using syslog</li> <li>Configure the Data Collection Rule for Syslog Data Sources</li> <li>Parse syslog data with KQL</li> </ul> <h3>42 - Connect threat indicators to Microsoft Sentinel</h3> <ul> <li>Plan for threat intelligence connectors</li> <li>Connect the threat intelligence TAXII connector</li> <li>Connect the threat intelligence platforms connector</li> <li>View your threat indicators with KQL</li> </ul> <h3>43 - Threat detection with Microsoft Sentinel analytics</h3> <ul> <li>What is Microsoft Sentinel Analytics?</li> <li>Types of analytics rules</li> <li>Create an analytics rule from templates</li> <li>Create an analytics rule from wizard</li> <li>Manage analytics rules</li> </ul> <h3>44 - Automation in Microsoft Sentinel</h3> <ul> <li>Understand automation options</li> <li>Create automation rules</li> </ul> <h3>45 - Threat response with Microsoft Sentinel playbooks</h3> <ul> <li>What are Microsoft Sentinel playbooks?</li> <li>Trigger a playbook in real-time</li> <li>Run playbooks on demand</li> </ul> <h3>46 - Security incident management in Microsoft Sentinel</h3> <ul> <li>Understand incidents</li> <li>Incident evidence and entities</li> <li>Incident management</li> </ul> <h3>47 - Identify threats with Behavioral Analytics</h3> <ul> <li>Understand behavioral analytics</li> <li>Explore entities</li> <li>Display entity behavior information</li> <li>Use Anomaly detection analytical rule templates</li> </ul> <h3>48 - Data normalization in Microsoft Sentinel</h3> <ul> <li>Understand data normalization</li> <li>Use ASIM Parsers</li> <li>Understand parameterized KQL functions</li> <li>Create an ASIM Parser</li> <li>Configure Azure Monitor Data Collection Rules</li> </ul> <h3>49 - Query, visualize, and monitor data in Microsoft Sentinel</h3> <ul> <li>Monitor and visualize data</li> <li>Query data using Kusto Query Language</li> <li>Use default Microsoft Sentinel Workbooks</li> <li>Create a new Microsoft Sentinel Workbook</li> </ul> <h3>50 - Manage content in Microsoft Sentinel</h3> <ul> <li>Use solutions from the content hub</li> <li>Use repositories for deployment</li> </ul> <h3>51 - Explain threat hunting concepts in Microsoft Sentinel</h3> <ul> <li>Understand cybersecurity threat hunts</li> <li>Develop a hypothesis</li> <li>Explore MITRE ATT&amp;CK</li> </ul> <h3>52 - Threat hunting with Microsoft Sentinel</h3> <ul> <li>Explore creation and management of threat-hunting queries</li> <li>Save key findings with bookmarks</li> <li>Observe threats over time with livestream</li> </ul> <h3>53 - Use Search jobs in Microsoft Sentinel</h3> <ul> <li>Hunt with a Search Job</li> <li>Restore historical data</li> </ul> <h3>54 - Hunt for threats using notebooks in Microsoft Sentinel</h3> <ul> <li>Access Azure Sentinel data with external tools</li> <li>Hunt with notebooks</li> <li>Create a notebook</li> <li>Explore notebook code</li> </ul></div>

Nexus Human

Microsoft Certification

Microsoft AZ-900

Microsoft AZ-104

Microsoft SC-200

Microsoft AZ-303

Microsoft AZ-700

SC-200T00 Microsoft Security Operations Analyst

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					<ul>
							<li>
											<span>
							<i></i>						</span>
										<span>One-to-one support from a dedicated tutor throughout your course.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Study online - whenever and wherever you want.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Instant Digital/ PDF certificate</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>100% money back guarantee</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>12 months access</span>
									</li>
						</ul>
				</div>
				</div>
				<div>
				<div>
					<div><p><span>This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
				</div>
				</div>
				<div>
				<div>
			<h4>Process of Evaluation</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p>After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate.</p></div>
				</div>
				</div>
				<div>
				<div>
			<h4>Certificate of Achievement</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>After completing the </span><b>Statistics course</b><span>, you will receive your</span><b> CPD-accredited Digital/PDF Certificate for £5.99. </b><span>To get the </span><b>hardcopy certificate for £12.99, </b><span>you must also pay the shipping charge of just</span><b> £3.99 (UK) and £10.99 (International).</b></p></div>
				</div>
				</div>
				<div>
				<div>
			<h4>Who Is This Course for?</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>This Statistics is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. </span></p><p><span>On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. </span></p><p><span>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.</span></p></div>
				</div>
				</div>
				<div>
				<div>
			<h4>Requirements</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Statistics course.</span></p><p><span>Do note: you must be at least 16 years old to enrol.</span></p><p><span>Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.</span></p></div>
				</div>
				</div>
				<div>
				<div>
			<h4>Career Path</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>The certification and skills you get from this </span><span>Statistics Course</span><span> can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.</span></p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
								</div>
						<div id="menu1">
							<div>
											<div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Statistics </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Statistics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Measuring Central Tendency</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measuring Central Tendency</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Measures of Dispersion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measures of Dispersion</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Correlation and Regression Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation and Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Probability </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Probability</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sampling </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sampling</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Charts and Graphs</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Charts and Graphs</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Hypothesis Testing </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Ten Common Statistical Mistakes </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Ten Common Statistical Mistakes</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Statistics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
									</div>
						</div>
						<div id="menu2">
							
						</div>

Overview
Join our Statistics course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Statistics course has everything you need to get a great start in this sector.
Improving and moving forward is key to getting ahead personally. The Statistics course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!
You Will Learn Following Things:
Learn strategies to boost your workplace efficiency.
Hone your skills to help you advance your career.
Acquire a comprehensive understanding of various topics and tips.
Learn in-demand skills that are in high demand among UK employers
This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. Enrol today and complete the course to achieve a certificate that can change your career forever.
Details

Perks of Learning with IOMH
One-to-one support from a dedicated tutor throughout your course.
Study online - whenever and wherever you want.
Instant Digital/ PDF certificate
100% money back guarantee
12 months access
This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. Enrol today and complete the course to achieve a certificate that can change your career forever.
Process of Evaluation
After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate.
Certificate of Achievement
After completing the Statistics course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International).
Who Is This Course for?
This Statistics is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. 
On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. 
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
There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Statistics 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 course.
Career Path
The certification and skills you get from this Statistics Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.
 Course Curriculum

Module 01: Introduction to Statistics			
	Introduction to Statistics		00:18:00
Module 02: Measuring Central Tendency			
	Measuring Central Tendency		00:18:00
Module 03: Measures of Dispersion			
	Measures of Dispersion		00:11:00
Module 04: Correlation and Regression Analysis			
	Correlation and Regression Analysis		00:35:00
Module 05: Probability			
	Probability		00:16:00
Module 06: Sampling			
	Sampling		00:19:00
Module 07: Charts and Graphs			
	Charts and Graphs		00:21:00
Module 08: Hypothesis Testing			
	Hypothesis Testing		00:25:00
Module 09: Ten Common Statistical Mistakes			
	Ten Common Statistical Mistakes		00:30:00
Assignment			
	Assignment - Statistics		00:00:00

IOMH - Institute of Mental Health

Statistics

Maths

Teacher

Professional Development

<p>Did you know that the demand for statisticians in the UK is projected to increase by 34% by 2026? In fact, statistics is one of the fastest-growing fields in the country, with an estimated 58,000 new jobs expected to be created in the next decade. This makes it a great time to invest in your future by enrolling in the Statistics QLS Level 3 &amp; 4 course.</p> <p>Through this course, you will gain a comprehensive understanding of statistical concepts and methods, including probability theory, regression analysis, hypothesis testing, and more. With a curriculum that spans from basic to higher knowledge, the course is designed to meet the needs of learners at all levels, from beginners to advanced users.</p> <p>The Statistics QLS Level 3 &amp; 4 course is endorsed by Quality Licence Scheme, which means that you can be assured of the highest quality of education and training. Upon completion of the course, you will receive a Level 4 Endorsed Certificate hardcopy free of charge, which can greatly enhance your career prospects in fields such as finance, healthcare, marketing, and more.</p> <p>In addition to the Level 4 Endorsed Certificate, learners who enrol in the Statistics QLS Level 3 &amp; 4 course will receive <strong>5 career-guided courses free</strong> with the QLS course, including career development plan fundamentals, networking skills for personal success, boost your confidence and self-esteem, CV writing and job searching, and learn to reduce and manage stress.</p> <p>So why wait? Take the first step towards a brighter future and enrol in the Statistics QLS Level 3 &amp; 4 course today. Whether you're looking to enhance your career prospects or simply want to gain a deeper understanding of statistics, this course has everything you need to succeed.</p> <p><strong>Learning Outcomes:</strong></p> <ul> <li>Develop an understanding of the fundamental principles of statistics, including the measurement of central tendency and dispersion.</li><li>Gain knowledge of correlation and regression analysis, including how to interpret statistical relationships between variables.</li><li>Understand probability and its application in statistical analysis.</li><li>Learn about sampling methods and their use in statistical analysis.</li><li>Develop the ability to create and interpret charts and graphs for data analysis.</li><li>Gain knowledge of hypothesis testing and how to apply statistical tests to analyse data.</li><li>Identify and avoid common statistical mistakes in data analysis.</li></ul><p><strong>Diploma in Statistics - QLS Level 3 &amp; 4's Description:</strong></p> <p><strong>Level 3</strong> curriculum provides an introduction to statistics, covering the fundamental principles of measurement of central tendency, dispersion, correlation, and regression analysis. Students will learn how to apply statistical analysis to a range of data sets. They will also gain knowledge of how to create meaningful conclusions and interpretations from statistical data.</p> <p><strong>Level 4</strong> curriculum covers more advanced statistical methods, including probability theory, sampling methods, charts and graphs, and hypothesis testing. Students will learn how to apply these methods to real-world scenarios and develop their skills in data analysis. They will also gain knowledge of common statistical mistakes and how to avoid them.</p> <p>This course is designed for individuals who are interested in pursuing a career in data analysis or research. It is suitable for individuals who are looking to gain knowledge of the fundamental principles of statistics or who want to expand their knowledge in statistical methods.</p> <p><strong>This bundle comprises the following courses:</strong></p> <p><strong>QLS Endorsed Course:</strong></p> <ul> <li><strong>Course 01: </strong>Diploma in Statistics at QLS Level 4</li></ul> <p><strong>CPD QS Accredited Courses:</strong></p> <ul> <li><strong>Course 01:</strong> Career Development Plan Fundamentals</li><li><strong>Course 02:</strong> Networking Skills for Personal Success</li><li><strong>Course 03:</strong> Boost Your Confidence and Self-Esteem</li><li><strong>Course 04:</strong> CV Writing and Job Searching</li><li><strong>Course 05:</strong> Learn to Reduce and Manage Stress</li></ul> <p><strong>Certificate</strong></p> <p>In pursuing this QLS-endorsed course, learners attain a profound understanding and amplify their professional prowess, enriching their curriculum vitae.</p> <p>The Quality Licence Scheme stands as a reputable and distinguished endorsement, emblematic of exceptional standards and excellence throughout the UK.</p> <p>Upon completion, learners will receive an Diploma in Statistics at QLS Level 4 Endorsed hard copy certificate, making it easy for them to showcase their achievements.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <ul> <li>Individuals interested in pursuing a career in data analysis or research.</li><li>Those looking to gain knowledge of the fundamental principles of statistics.</li><li>People who want to enhance their existing skills in statistical analysis.</li><li>Individuals who want to learn how to apply statistical analysis to real-world scenarios.</li><li>Those looking to expand their knowledge in statistical methods.</li></ul> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <ul> <li>Data Analyst - £25,000 to £50,000 per year</li><li>Research Analyst - £20,000 to £45,000 per year</li><li>Statistician - £30,000 to £60,000 per year</li><li>Business Intelligence Analyst - £25,000 to £55,000 per year</li><li>Market Research Analyst - £20,000 to £45,000 per year</li><li>Financial Analyst - £25,000 to £60,000 per year.</li></ul> 
                        </div>

Imperial Academy

Level 4 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Statistics - QLS Level 3 & 4

<h2 id="isPasted" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);">About this event</h2><div style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><h3 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);">COURSE INTRODUCTION</h3><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course covers Tuberculosis, latent and active, diagnosis, screening and testing, groups offered vaccine, symptoms and treatment; within the current regulatory and legal framework. We discuss Mantoux, BCG techniques, IGRA testing, Scar identification and current issues. The course is hands-on and practical and each participant receives a certificate after successfully completing the course.</p><h3 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);">AIMS AND OBJECTIVES</h3><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Be able to provide accurate and up to date information about BCG and TB vaccines</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Update staff on current issues</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Provide a safe, effective and high standard of care</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">COURSE CONTENTS</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; The aims of TB immunisation: national policy and schedules</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; History of TB</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; How common is TB</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Epidemiology and current statistics</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Screening and testing</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Latent TB infection</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Active TB disease</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Signs and symptoms of TB</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Diagnosis</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; IGRA Testing</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Treatment</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Management</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; TB Vaccination</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Practical workshop</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Technique-intradermal</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; BCG Technique</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Mantoux / Technique</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Scar identification</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; The legal aspects of vaccination</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Prescribing vaccines</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Storage and handling of vaccines - cold chain</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Correct administration of vaccines</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Record-keeping and reporting</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Competence Assessment</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Ref: National Minimum Standards for Immunisation Training, PHE and RCN, Immunisation for Infectious Diseases</p><h3 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);">WHO SHOULD ATTEND?</h3><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Nurses - Primary Care, Secondary Care</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Occupational Health Staff</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Doctors - Occupational Health</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Military Staff</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Midwives</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Neonatal Nurses</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; School Nurses</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Includes All course materials and certificate of attendance</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">AB Health Group awards CPD points / certificate of attendance for each course. &nbsp;If you would prefer an accredited certificate by our accrediting body Aim Qualifications we can organise this. &nbsp;The charge for the certificate including postage is &pound;30.00.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Annie Barr AB Health Group</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Organiser Description</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Annie Barr is a leading provider of high quality, accredited healthcare training. With a selection of engaging healthcare training that has been developed by experts to equip you and your workforce with the skills, knowledge and competence needed to provide compassionate and high quality care.</p></div>

About this event
COURSE INTRODUCTION
This course covers Tuberculosis, latent and active, diagnosis, screening and testing, groups offered vaccine, symptoms and treatment; within the current regulatory and legal framework. We discuss Mantoux, BCG techniques, IGRA testing, Scar identification and current issues. The course is hands-on and practical and each participant receives a certificate after successfully completing the course.
AIMS AND OBJECTIVES
• Be able to provide accurate and up to date information about BCG and TB vaccines
• Update staff on current issues
• Provide a safe, effective and high standard of care


COURSE CONTENTS
• The aims of TB immunisation: national policy and schedules
• History of TB
• How common is TB
• Epidemiology and current statistics
• Screening and testing
• Latent TB infection
• Active TB disease
• Signs and symptoms of TB
• Diagnosis
• IGRA Testing
• Treatment
• Management
• TB Vaccination
• Practical workshop
• Technique-intradermal
• BCG Technique
• Mantoux / Technique
• Scar identification
• The legal aspects of vaccination
• Prescribing vaccines
• Storage and handling of vaccines - cold chain
• Correct administration of vaccines
• Record-keeping and reporting
• Competence Assessment
Ref: National Minimum Standards for Immunisation Training, PHE and RCN, Immunisation for Infectious Diseases
WHO SHOULD ATTEND?
• Nurses - Primary Care, Secondary Care
• Occupational Health Staff
• Doctors - Occupational Health
• Military Staff
• Midwives
• Neonatal Nurses
• School Nurses
Includes All course materials and certificate of attendance
AB Health Group awards CPD points / certificate of attendance for each course. If you would prefer an accredited certificate by our accrediting body Aim Qualifications we can organise this. The charge for the certificate including postage is £30.00.


Annie Barr AB Health Group
Organiser Description
Annie Barr is a leading provider of high quality, accredited healthcare training. With a selection of engaging healthcare training that has been developed by experts to equip you and your workforce with the skills, knowledge and competence needed to provide compassionate and high quality care.

AB Health Group

General Health

Medical Training

Public Health

BCG/Mantoux and TB - Webinar

TB / BCG Training WEBINAR

<strong>This course covers the fundamental topics of statistical methodology, linear regression, and ordinary least squares that every statistician needs to know.</strong>
        <p>To work with statistics and quantitative reports, you need to have a good understanding of the fundamentals and techniques of statistics. However, learning and applying new statistical techniques can often be a daunting experience and this is where this video course comes in handy. This course is designed to guide you through the basic principles of statistical methodology in a step-by-step way.
You'll start with an introduction to the course along with an overview of the learning objectives. Next, you'll explore the types of regression analysis that exist, and find out how ordinary least squares (OLS) work. To get a deeper understanding of linear regression and OLS, you'll interpret and analyze complicated regression output from OLS. Finally, you'll discover essential tips and techniques that'll help you to confidently perform regression analysis.
By the end of this video, you'll be well-versed with linear regression techniques and the basic principles of statistical methodology.
The code and resources for this course is available at https://github.com/PacktPublishing/Easy-Statistics-Linear-Regression</p>
        <h2>What You Will Learn</h2><p>Understand the basic concept of statistical regression analysis<br>Become familiar with linear regression terminologies<br>Distinguish between different kinds of regression methods<br>Find out the difference between correlation and causation<br>Analyze and integrate complicated regression output from OLS<br>Explore tips and tricks relating to regression analysis</p>
        <h2>Audience</h2><p>If you are a student at any level, an experienced professional, a manager, or a government worker who wants to delve into statistical regression or work with quantitative reports and policy analysis, then this course is for you. As the course is for beginners, it doesn't require you to have any knowledge of mathematics or statistics.</p>
        <h2>Approach</h2><p>With the help of animated graphics and interesting examples, this course will teach you the fundamentals of statistical regression terminologies.</p>
        <h2>Key Features</h2><p>Explore the basic statistical fundamentals of ordinary least squares (OLS) * Understand linear regression and its application * Gain the confidence to interpret complicated regression output</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Easy-Statistics-Linear-Regression</p>
        <h2>About the Author</h2><h3>Franz Buscha</h3><p>Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. What is Regression?</h4><p></p><br><h4>3. What is Ordinary Least Squares?</h4><p></p><br><h4>4. Ordinary Least Squares Regression in Practice</h4><p></p><br><h4>5. Tips and Final Thoughts </h4><p></p>

Packt

Stata

This course covers the fundamental topics of statistical methodology, linear regression, and ordinary least squares that every statistician needs to know.

Easy Statistics: Linear Regression

<strong>This course covers the fundamental topics of statistical methodology, enabling you to understand the application and interpretation of linear and non-linear regression modeling.</strong>
        <p>Working with statistics and quantitative reports requires a good understanding of statistics fundamentals and techniques. However, learning and applying new statistical techniques can often be a daunting experience. This is where this course comes into play.
To make your experience with statistics a pleasant one, this course gives you comprehensive knowledge of basic principles of the statistical methodology, focusing on linear regression and non-linear regression.
The course starts with an introduction to easy statistics and gives you an overview of the course objectives. Next, you will explore the types of regression analysis that exist and find out how ordinary least squares (OLS) works. To gain a deeper understanding of linear regression and OLS, you will learn to interpret and analyze complicated regression output from OLS. You will also focus on Gauss-Markov assumptions and zero conditional mean. Moving ahead, you will cover non-linear regression, exploring how it works, what the different non-linear regression models are, and the major uses. Towards the end, you will learn to work around with regression modeling with the help of practical examples.
By the end of this video, you will be well-versed with linear and non-linear regression and the basic principles of the statistical methodology.

All the resource files are added on GitHub at https://github.com/PacktPublishing/-Easy-Statistics-Linear-and-Non-Linear-Regression</p>
        <h2>What You Will Learn</h2><p>Understand the basic concept of statistical regression analysis<br>Become familiar with linear and non-linear regression terminologies<br>Distinguish between different types of regression methods<br>Analyze and integrate complicated regression output from ordinary least squares (OLS)<br>Find out the difference between logit and probit transformation<br>Model non-linear relationships in a linear regression</p>
        <h2>Audience</h2><p>If you're a student, an experienced professional, a manager, or a government worker who wants to learn linear and non-linear regression, regression modeling, and ordinary least squares, then this course is for you. This is a beginner-level course and does not require any prior knowledge of mathematics or statistics.</p>
        <h2>Approach</h2><p>With the help of eye-catching animated graphics and interesting examples, this course will teach you linear and non-linear regression and regression modeling to ensure that you become well-versed with the fundamentals of statistics and quantitative analysis.</p>
        <h2>Key Features</h2><p>Understand the statistical fundamentals of ordinary least squares (OLS) * Gain the confidence to comfortably interpret complicated regression output from OLS * Explore regression modeling and its application</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/-Easy-Statistics-Linear-and-Non-Linear-Regression</p>
        <h2>About the Author</h2><h3>Franz Buscha</h3><p>Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.</p>
        <h2>Course Outline</h2><h4>1. Linear Regression</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Easy Statistics: Linear Regression?</p><p style='margin: 0'>This video explains the concept of easy statistics with linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Linear Regression?</p><p style='margin: 0'>This video explains the concept of linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>3. Learning Outcomes</p><p style='margin: 0'>This video explains the various learning outcomes.</p></td></tr><tr><td style='padding: 15px;'><p>4. Whom is this Course for?</p><p style='margin: 0'>This video discusses the target audience for this course.</p></td></tr><tr><td style='padding: 15px;'><p>5. Prerequisites</p><p style='margin: 0'>This video explains the various prerequisites of the course.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using Stata</p><p style='margin: 0'>This video shows how to use Stata for linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>7. What is Regression Analysis?</p><p style='margin: 0'>This video explains the concept of regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>8. Get to Know About Linear Regression</p><p style='margin: 0'>This video explains the concept of linear regression in detail.</p></td></tr><tr><td style='padding: 15px;'><p>9. Why is Regression Analysis Useful?</p><p style='margin: 0'>This video explains the importance and uses of regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>10. What Types of Regression Analysis Exist?</p><p style='margin: 0'>This video explains the various types of regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>11. Explaining Regression</p><p style='margin: 0'>This video explains the concept of regression.</p></td></tr><tr><td style='padding: 15px;'><p>12. Lines of Best Fit</p><p style='margin: 0'>This video explains the lines of best fit concept.</p></td></tr><tr><td style='padding: 15px;'><p>13. Causality vs. Correlation</p><p style='margin: 0'>This video illustrates the difference between causality and correlation.</p></td></tr><tr><td style='padding: 15px;'><p>14. What is Ordinary Least Squares (OLS)?</p><p style='margin: 0'>This video explains the concept of OLS.</p></td></tr><tr><td style='padding: 15px;'><p>15. Ordinary Least Squares (OLS) Visual - Part 1</p><p style='margin: 0'>This video is the first part of the two-part video that explains OLS visually.</p></td></tr><tr><td style='padding: 15px;'><p>16. Ordinary Least Squares (OLS) Visual - Part 2</p><p style='margin: 0'>This video is the second part of the two-part video that explains OLS visually.</p></td></tr><tr><td style='padding: 15px;'><p>17. Sum of Squares</p><p style='margin: 0'>This video explains how to calculate the sum of squares using linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>18. Best Linear Unbiased Estimator</p><p style='margin: 0'>This video explains the best linear unbiased estimator.</p></td></tr><tr><td style='padding: 15px;'><p>19. The Gauss-Markov Assumptions</p><p style='margin: 0'>This video discusses the Gauss-Markov assumptions.</p></td></tr><tr><td style='padding: 15px;'><p>20. Homoskedasticity</p><p style='margin: 0'>This video explains the concept of homoskedasticity.</p></td></tr><tr><td style='padding: 15px;'><p>21. No Perfect Collinearity</p><p style='margin: 0'>This video explains the concept of no perfect collinearity.</p></td></tr><tr><td style='padding: 15px;'><p>22. Linear in Parameters</p><p style='margin: 0'>This video focuses on linearity in parameters.</p></td></tr><tr><td style='padding: 15px;'><p>23. Zero Conditional Mean</p><p style='margin: 0'>This video explains what is zero conditional mean.</p></td></tr><tr><td style='padding: 15px;'><p>24. How to Test and Correct for Endogeneity?</p><p style='margin: 0'>This video explains how to test and correct for endogeneity.</p></td></tr><tr><td style='padding: 15px;'><p>25. The Gauss-Markov Assumptions - Recap</p><p style='margin: 0'>This video presents a recap of the Gauss-Markov assumptions.</p></td></tr><tr><td style='padding: 15px;'><p>26. Stata - Applied Examples</p><p style='margin: 0'>This video explains with an example how to use Stata.</p></td></tr><tr><td style='padding: 15px;'><p>27. Final Thoughts and Tips</p><p style='margin: 0'>This video provides some final thoughts and tips with respect to linear regression.</p></td></tr></tbody></table><br><h4>2. Non-Linear Regression</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Easy Statistics: Non-Linear Regression?</p><p style='margin: 0'>This video explains the concept of easy statistics with non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Non-Linear Regression?</p><p style='margin: 0'>This video explains the concept of non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>3. What are the Main Learning Outcomes?</p><p style='margin: 0'>This video presents the learning outcome of this course.</p></td></tr><tr><td style='padding: 15px;'><p>4. Whom is this Course for?</p><p style='margin: 0'>This video discusses the target audience for this course.</p></td></tr><tr><td style='padding: 15px;'><p>5. Prerequisites</p><p style='margin: 0'>This video discusses the various prerequisites for this course.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using Stata</p><p style='margin: 0'>This video explains how to use Stata.</p></td></tr><tr><td style='padding: 15px;'><p>7. What is Non-Linear Regression Analysis?</p><p style='margin: 0'>This video explains the concept of non-linear regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>8. How does Non-Linear Regression Work?</p><p style='margin: 0'>This video explains the working of non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>9. Why is Non-Linear Regression analysis Useful?</p><p style='margin: 0'>This video explains the importance and uses of non-linear regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>10. Types of Non-Linear Regression models</p><p style='margin: 0'>This video explains the various types of non-linear regression models.</p></td></tr><tr><td style='padding: 15px;'><p>11. Maximum Likelihood</p><p style='margin: 0'>This video explains the maximum likelihood estimation technique.</p></td></tr><tr><td style='padding: 15px;'><p>12. Linear Probability Model</p><p style='margin: 0'>This video explains the linear probability model.</p></td></tr><tr><td style='padding: 15px;'><p>13. The Logit and Probit Transformation</p><p style='margin: 0'>This video explains the logit and probit transformation model.</p></td></tr><tr><td style='padding: 15px;'><p>14. Latent Variables</p><p style='margin: 0'>This video focuses on latent variables.</p></td></tr><tr><td style='padding: 15px;'><p>15. What are Marginal Effects?</p><p style='margin: 0'>This video explains the concept of marginal effects.</p></td></tr><tr><td style='padding: 15px;'><p>16. Dummy Explanatory Variables</p><p style='margin: 0'>This video focuses on the dummy explanatory variables.</p></td></tr><tr><td style='padding: 15px;'><p>17. Multiple Non-Linear Regression</p><p style='margin: 0'>This video explains multiple non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>18. Goodness-of-Fit</p><p style='margin: 0'>This video discusses the concept of goodness-of-fit.</p></td></tr><tr><td style='padding: 15px;'><p>19. A Note about Logit Coefficients</p><p style='margin: 0'>This video provides a note about logit coefficients.</p></td></tr><tr><td style='padding: 15px;'><p>20. Tips for Logit and Probit Regression</p><p style='margin: 0'>This video provides some tips for logit and probit regression.</p></td></tr><tr><td style='padding: 15px;'><p>21. Back to the Linear Probability Model</p><p style='margin: 0'>This video explains the linear probability model.</p></td></tr><tr><td style='padding: 15px;'><p>22. Stata - Applied Logit and Probit Examples</p><p style='margin: 0'>This video provides examples of applied logit and probit using Stata.</p></td></tr></tbody></table><br><h4>3. Regression Modelling</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an introduction to regression modelling.</p></td></tr><tr><td style='padding: 15px;'><p>2. Regression Modelling - Don't Rush it</p><p style='margin: 0'>This video explains the concept of regression modelling in detail.</p></td></tr><tr><td style='padding: 15px;'><p>3. Non-Linear Shapes in Regression</p><p style='margin: 0'>This video explains the concept of non-linear shapes in regression.</p></td></tr><tr><td style='padding: 15px;'><p>4. Non-Linear Shapes in Regression - Practical Examples</p><p style='margin: 0'>This video explains the concept of non-linear shapes in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>5. How to use and Interpret Interaction Effects?</p><p style='margin: 0'>This video explains how to use and interpret interaction effects.</p></td></tr><tr><td style='padding: 15px;'><p>6. How to use and Interpret Interaction Effects? - Practical Examples</p><p style='margin: 0'>This video explains how to use and interpret interaction effects with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>7. Using Time in Regression</p><p style='margin: 0'>This video explains how to use time in regression.</p></td></tr><tr><td style='padding: 15px;'><p>8. Using Time in Regression - Practical Examples</p><p style='margin: 0'>This video explains how to use time in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>9. Categorical Explanatory Variables in Regression</p><p style='margin: 0'>This video explains the categorical explanatory variables in regression.</p></td></tr><tr><td style='padding: 15px;'><p>10. Categorical Explanatory Variables in Regression - Practical Examples</p><p style='margin: 0'>This video explains the categorical explanatory variables in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>11. Dealing with Multicollinearity in Regression</p><p style='margin: 0'>This video explains how to deal with multicollinearity in regression.</p></td></tr><tr><td style='padding: 15px;'><p>12. Dealing with Multicollinearity in Regression - Practical Examples</p><p style='margin: 0'>This video explains how to deal with multicollinearity in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>13. Dealing with Missing Data in Regression</p><p style='margin: 0'>This video explains how to deal with missing data in regression.</p></td></tr><tr><td style='padding: 15px;'><p>14. Dealing with Missing Data in Regression - Practical Examples</p><p style='margin: 0'>This video explains how to deal with missing data in regression with the help of examples.</p></td></tr></tbody></table>

This course covers the fundamental topics of statistical methodology, enabling you to understand the application and interpretation of linear and non-linear regression modeling.

Easy Statistics: Linear and Non-Linear Regression

<strong>Master Data Science skills using Python and real time project and go from Beginner to Super Advance level</strong>
        <p>Want to become a good Data Scientist?  Then this is a right course for you.
This course was designed by IT professionals with a Master's in Mathematics and Data Science.  We cover complex theories, algorithms, and coding libraries in a very simple way so they can be easily grasped by any beginner.
We walk you step-by-step through the World of Data science. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advanced level.
All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Data-Statistics-with-Full-Stack-Python</p>
        <h2>What You Will Learn</h2><p>Master Data Science on Python<br>Learn to use Numpy and Pandas for Data Analysis<br>Learn all the math you need to understand Machine Learning algorithms<br>Real-world case studies<br>Learn to use Matplotlib for Python plotting<br>Learn to use Seaborn for statistical plots<br>Master end-to-end data science solutions<br>Learn all statistical concepts you need to become a Machine Learning ninja </p>
        <h2>Audience</h2><p>This course is for anyone who wants to become a Data Scientist.</p>
        <h2>Approach</h2><p>Exhaustive and packed with step-by-step instructions, working examples, and helpful advice, this course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest.</p>
        <h2>Key Features</h2><p>Master complex theories, algorithms, and coding libraries in a very simple way * Master Data Science in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/data-statistics-with-full-stack-python</p>
        <h2>About the Author</h2><h3>Geekshub Pvt. Ltd. </h3><p>Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.</p>
        <h2>Course Outline</h2><h4>1. Python Fundamentals</h4><p></p><br><h4>2. Numpy</h4><p></p><br><h4>3. Pandas</h4><p></p><br><h4>4. Some Fun With Maths</h4><p></p><br><h4>5. Inferential Statistics</h4><p></p><br><h4>6. Hypothesis Testing</h4><p></p><br><h4>7. Data Visualization</h4><p></p><br><h4>8. Exploratory Data Analysis</h4><p></p><br><h4>9. Simple Linear Regression</h4><p></p><br><h4>10. Real World Problem - Investment Requirement Analysis for a Company</h4><p></p><br><h4>11. Loan Analysis Project</h4><p></p>

Python

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

Data Statistics with Full Stack Python

<strong>This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.</strong>
        <p>In today's ultra-competitive business universe, probability and statistics are the most important fields of study. That is because statistical research presents businesses with the data they need to make informed decisions in every business area, whether it is market research, product development, product launch timing, customer data analysis, sales forecast, or employee performance.

But why do you need to master probability and statistics in Python?

The answer is that an expert grip on the concepts of statistics and probability with data science will enable you to take your career to the next level. This course is designed carefully to reflect the most in-demand skills that will help you in understanding the concepts and methodology with regard to Python.

The course is as follows:

Easy to understand
Expressive
Comprehensive
Practical with live coding
About establishing links between probability and machine learning

By the end of this course, you will be able to relate the concepts and theories in machine learning with probabilistic reasoning and understand the methodology of statistics and probability with data science, using real datasets.

The code files and all related files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Mastering-Probability-and-Statistics-in-Python</p>
        <h2>What You Will Learn</h2><p>The importance of statistics and probability in data science<br>The foundations for machine learning and its roots in probability theory<br>The concepts of absolute beginning in-depth with examples in Python<br>Practical explanation and live coding with Python<br>Probabilistic view of modern machine learning<br>Implementation of Bayes' classifier on a real dataset</p>
        <h2>Audience</h2><p>This course is for individuals who want to learn statistics and probability along with its implementation in realistic projects. Data scientists and business analysts and those who want to upgrade their data analysis skills will also get the benefit. People who want to learn statistics and probability with real datasets in data science and are passionate about numbers and programming will get the most out of this course.<br><br>No prior knowledge is needed. You start from the basics and gradually build your knowledge of the subject. A basic understanding of Python will be a plus but not mandatory.</p>
        <h2>Approach</h2><p>This course is designed for beginners, although we will go deep gradually. You will learn theoretical concepts first, followed by its practical implementation in Python. At the end of each module, you will work on the homework/tasks, which will evaluate/further build your learning based on the previous concepts and methods.</p>
        <h2>Key Features</h2><p>Easy explanations, yet complete and comprehensive course * Fundamental, pythonic, and a complete course to master the important concepts used in data science * Practical with live coding of the implementation of the concepts learned theoretically</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Mastering-Probability-and-Statistics-in-Python</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Instructor</p><p style='margin: 0'>This video gives you an introduction to AI sciences and to the instructor of this course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Focus of the Course</p><p style='margin: 0'>This video shows you the objective of the course.</p></td></tr></tbody></table><br><h4>2. Probability and Statistics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Probability Versus Statistics</p><p style='margin: 0'>This video focuses on probability versus statistics.</p></td></tr></tbody></table><br><h4>3. Sets</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Definition of Set</p><p style='margin: 0'>This video demonstrates the definition of a set.</p></td></tr><tr><td style='padding: 15px;'><p>2. Cardinality of a Set</p><p style='margin: 0'>This video explains the cardinality of a set.</p></td></tr><tr><td style='padding: 15px;'><p>3. Subsets, Power Set, and Universal Set</p><p style='margin: 0'>This video explains subsets, power set, and universal set.</p></td></tr><tr><td style='padding: 15px;'><p>4. Python Practice Subsets</p><p style='margin: 0'>This video lets you practice on the subsets that you have learned so far.</p></td></tr><tr><td style='padding: 15px;'><p>5. Power Sets Solution</p><p style='margin: 0'>This video answers the problem statement to generate the power set.</p></td></tr><tr><td style='padding: 15px;'><p>6. Operations</p><p style='margin: 0'>This video explores the different types of operations that can be performed on the sets.</p></td></tr><tr><td style='padding: 15px;'><p>7. Python Practice Operations</p><p style='margin: 0'>This video lets you practice on the types of operations that you have learned so far.</p></td></tr><tr><td style='padding: 15px;'><p>8. Venn Diagrams Operations</p><p style='margin: 0'>This video shows the types of operations that can be performed on the Venn diagrams.</p></td></tr><tr><td style='padding: 15px;'><p>9. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>4. Experiment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Random Experiment</p><p style='margin: 0'>This video explains about a random experiment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Outcome and Sample Space</p><p style='margin: 0'>This video explains what is meant by the outcome and sample space of any experiment.</p></td></tr><tr><td style='padding: 15px;'><p>3. Event</p><p style='margin: 0'>This video explains about the event in an experiment.</p></td></tr><tr><td style='padding: 15px;'><p>4. Recap and Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>5. Probability Model</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Probability model</p><p style='margin: 0'>This video talks about probability models.</p></td></tr><tr><td style='padding: 15px;'><p>2. Probability Axioms</p><p style='margin: 0'>This video explains axioms of probability.</p></td></tr><tr><td style='padding: 15px;'><p>3. Probability Axioms Derivations</p><p style='margin: 0'>This video covers derivation from axioms of probability.</p></td></tr><tr><td style='padding: 15px;'><p>4. Probability Models Example</p><p style='margin: 0'>This video shows examples of probability models.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Examples of Probability Models</p><p style='margin: 0'>This video shows a few more examples of probability models.</p></td></tr><tr><td style='padding: 15px;'><p>6. Probability Models Continuous</p><p style='margin: 0'>This video talks about continuous probability models.</p></td></tr><tr><td style='padding: 15px;'><p>7. Conditional Probability</p><p style='margin: 0'>This video explains the concept of conditional probability.</p></td></tr><tr><td style='padding: 15px;'><p>8. Conditional Probability Example</p><p style='margin: 0'>This video shows an example of conditional probability.</p></td></tr><tr><td style='padding: 15px;'><p>9. Conditional Probability Formula</p><p style='margin: 0'>This video covers the formula for conditional probability.</p></td></tr><tr><td style='padding: 15px;'><p>10. Conditional Probability in Machine Learning</p><p style='margin: 0'>This video demonstrates the importance of conditional probability in Machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>11. Conditional Probability Total Probability Theorem</p><p style='margin: 0'>This video covers the law of total probability or total probability theorem.</p></td></tr><tr><td style='padding: 15px;'><p>12. Probability Models Independence</p><p style='margin: 0'>This video explains one of the important probability theories, that is, "Independence".</p></td></tr><tr><td style='padding: 15px;'><p>13. Probability Models Conditional Independence</p><p style='margin: 0'>This video continues with the concept of Independence in the probability theory.</p></td></tr><tr><td style='padding: 15px;'><p>14. Probability Models Bayes' Rule</p><p style='margin: 0'>This video explains the Bayes' rule or theorem in probability theory.</p></td></tr><tr><td style='padding: 15px;'><p>15. Probability Models towards Random Variables</p><p style='margin: 0'>This video talks about random variables.</p></td></tr><tr><td style='padding: 15px;'><p>16. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>6. Random Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an introduction to random variables.</p></td></tr><tr><td style='padding: 15px;'><p>2. Random Variables Examples</p><p style='margin: 0'>This video shows examples of random variables.</p></td></tr><tr><td style='padding: 15px;'><p>3. Bernoulli Random Variables</p><p style='margin: 0'>This video explains discrete random variables and you will also learn about the Bernoulli random variable.</p></td></tr><tr><td style='padding: 15px;'><p>4. Bernoulli Trail Python Practice</p><p style='margin: 0'>This video builds simulation for the Bernoulli random variable.</p></td></tr><tr><td style='padding: 15px;'><p>5. Geometric Random Variable</p><p style='margin: 0'>This video explains the concept of geometric random variable.</p></td></tr><tr><td style='padding: 15px;'><p>6. Geometric Random Variable Normalization Proof Optional</p><p style='margin: 0'>This video will continue to discuss the geometric random variable.</p></td></tr><tr><td style='padding: 15px;'><p>7. Geometric Random Variable Python Practice</p><p style='margin: 0'>This video shows the implementation of geometric random variable in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Binomial Random Variables</p><p style='margin: 0'>This video explains the concept of binomial random variables.</p></td></tr><tr><td style='padding: 15px;'><p>9. Binomial Python Practice</p><p style='margin: 0'>This video shows the implementation of binomial random variable in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. Random Variables in Real Datasets</p><p style='margin: 0'>This video shows the real data sets and helps you build a relation of random variables on real datasets.</p></td></tr><tr><td style='padding: 15px;'><p>11. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>7. Continuous Random Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Zero Probability to Individual Values</p><p style='margin: 0'>This video talks about continuous random variables.</p></td></tr><tr><td style='padding: 15px;'><p>2. Probability Density Functions</p><p style='margin: 0'>This video explains probability density functions.</p></td></tr><tr><td style='padding: 15px;'><p>3. Uniform Distribution</p><p style='margin: 0'>This video explains uniform distribution.</p></td></tr><tr><td style='padding: 15px;'><p>4. Uniform Distribution Python</p><p style='margin: 0'>This video shows the implementation of uniform distribution in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Exponential</p><p style='margin: 0'>This video explains about the exponential random variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Exponential Python</p><p style='margin: 0'>This video shows the implementation of exponential random variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Gaussian Random Variables</p><p style='margin: 0'>This video explains about Gaussian random variables.</p></td></tr><tr><td style='padding: 15px;'><p>8. Gaussian Python</p><p style='margin: 0'>This video shows the implementation of Gaussian random variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Transformation of Random Variables</p><p style='margin: 0'>This video explains about the transformation of random variables.</p></td></tr><tr><td style='padding: 15px;'><p>10. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>8. Expectations</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Definition</p><p style='margin: 0'>This video defines expectations in detail.</p></td></tr><tr><td style='padding: 15px;'><p>2. Sample Mean</p><p style='margin: 0'>This video helps you compute the mean or average of the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Law of Large Numbers</p><p style='margin: 0'>This video talks about the law of large numbers.</p></td></tr><tr><td style='padding: 15px;'><p>4. Law of Large Numbers Famous Distributions</p><p style='margin: 0'>This video continues with the concept of law of large numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. Law of Large Numbers Famous Distributions Python</p><p style='margin: 0'>This video shows the implementation of law of large numbers concept in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Variance</p><p style='margin: 0'>In this video, you will learn about the variance concept.</p></td></tr><tr><td style='padding: 15px;'><p>7. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>9. Project Bayes' Classifier</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Project Bayes' Classifier from Scratch</p><p style='margin: 0'>In this video, you will build the Bayes' classifier in Python from scratch.</p></td></tr></tbody></table><br><h4>10. Multiple Random Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Joint Distributions</p><p style='margin: 0'>This video talks about joint distributions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Multivariate Gaussian</p><p style='margin: 0'>This video explains about multivariate Gaussian.</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditioning Independence</p><p style='margin: 0'>This video demonstrates conditioning in random variables.</p></td></tr><tr><td style='padding: 15px;'><p>4. Classification</p><p style='margin: 0'>This video shows you the objective of the course.</p></td></tr><tr><td style='padding: 15px;'><p>5. Naive Bayes' Classification</p><p style='margin: 0'>This video explains the concepts of Naive Bayes' classifier.</p></td></tr><tr><td style='padding: 15px;'><p>6. Regression</p><p style='margin: 0'>This video talks about the regression model.</p></td></tr><tr><td style='padding: 15px;'><p>7. Curse of Dimensionality</p><p style='margin: 0'>This video talks about curse of dimensionality.</p></td></tr><tr><td style='padding: 15px;'><p>8. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>11. Optional Estimation</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Parametric Distributions</p><p style='margin: 0'>This video explains about parametric distributions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Maximum Likelihood Estimate (MLE)</p><p style='margin: 0'>This video explains about the Maximum Likelihood Estimate (MLE).</p></td></tr><tr><td style='padding: 15px;'><p>3. Log Likelihood</p><p style='margin: 0'>This video helps you learn about Log Likelihood.</p></td></tr><tr><td style='padding: 15px;'><p>4. Maximum A Posterior Estimate (MAP)</p><p style='margin: 0'>This video explains Maximum A Posterior Estimate (MAP).</p></td></tr><tr><td style='padding: 15px;'><p>5. Logistic Regression</p><p style='margin: 0'>This video helps you understand logistic regression in detail.</p></td></tr><tr><td style='padding: 15px;'><p>6. Ridge Regression</p><p style='margin: 0'>This video helps you understand ridge regression in detail.</p></td></tr><tr><td style='padding: 15px;'><p>7. Deep Neural Network (DNN)</p><p style='margin: 0'>This video focuses on Deep Neural Network (DNN) concept.</p></td></tr></tbody></table><br><h4>12. Mathematical Derivations for Math Lovers</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Permutations</p><p style='margin: 0'>This video showcases and explains the concept of permutations in detail.</p></td></tr><tr><td style='padding: 15px;'><p>2. Combinations</p><p style='margin: 0'>This video helps you learn about combination in detail.</p></td></tr><tr><td style='padding: 15px;'><p>3. Binomial Random Variable</p><p style='margin: 0'>This video explains about the binomial random variable.</p></td></tr><tr><td style='padding: 15px;'><p>4. Logistic Regression Formulation</p><p style='margin: 0'>This video explains logistic regression formulation.</p></td></tr><tr><td style='padding: 15px;'><p>5. Logistic Regression Derivation</p><p style='margin: 0'>This video explains logistic regression derivation.</p></td></tr></tbody></table>

Data Science

This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.

Mastering Probability and Statistics in Python

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Definition of Safeguarding Legislation &amp; agreed ways of working</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Definition of Safeguarding</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Legislation &amp; agreed ways of working</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Every child matters guidance</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Myths and statistics</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Effects on young people</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Leadership/worker skills</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Common indicators of abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Reporting of abuse and potential abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Barriers to reporting abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Understanding the types of abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Recognising acts, signs and symptoms of abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Who is vulnerable / at risk</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The role of dignity in safeguarding</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Legislation and policies and procedure</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">What to do should you have a concern</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Overview of prevent</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">How to respond to an individual should they disclose a concern</p>

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