123 Statistics courses in Glossop delivered Live Online

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.

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RQF level 1 Awareness of First Aid for Mental Health Each year approximately 1 in 4 people in the UK will experience a mental health condition and at least 1 in 6 employees experience common mental health problems in the workplace. Research has shown that work is the biggest cause of stress which can stop people performing at their best. Mental health conditions are often hidden due to stigma and fear of discrimination and research has shown that a culture of fear and silence around mental health is costly to employers. The HSE guidance 'First aid needs assessment’ refers to mental health in the workplace. This 4-hour qualification provides learners with the knowledge to recognise a range of mental health conditions, how to start a supportive conversation and when and how to signpost a person to seek appropriate professional help. Learners will know how to recognise and manage stress. Learners will not diagnose or treat mental health conditions as this can only be carried out by healthcare professionals but will gain the knowledge to identify when a person may have a condition and know where they can go to get help. Suitability - Who should attend? Here are some examples of who may benefit from attending the RQF Level 1 Award in Awareness of First Aid for Mental Health: Employees and workers: This course is relevant for individuals in any industry who may encounter colleagues or clients experiencing mental health difficulties. It can be particularly valuable for human resources personnel, line managers, supervisors, or team leaders responsible for the well-being of employees. Teachers and educators: Professionals working in schools, colleges, or other educational institutions can benefit from this training to better understand and support the mental health needs of students. Healthcare and social care workers: Individuals working in healthcare or social care settings, such as nurses, care assistants, support workers, or counsellors, can enhance their understanding of mental health issues and improve their ability to provide appropriate support. Community and voluntary workers: People involved in community or voluntary organizations, including youth workers, social workers, volunteers, or community leaders, can gain valuable insights into mental health awareness and support. Personal relationships and caregivers: The Level 1 training can also be beneficial for individuals who have personal relationships with someone experiencing mental health challenges. This may include family members, friends, or caregivers who want to enhance their understanding and offer appropriate assistance. It is important to note that the Level 1 Award in Awareness of First Aid for Mental Health RQF is an introductory course and does not qualify participants to provide formal mental health interventions or therapy. However, it serves as a foundation for further training and can contribute to creating a more mentally healthy and supportive environment in various settings. Outcome / Qualification etc. Upon successful completion of the RQF Level 1 Awareness of First Aid for Mental Health course, participants can expect to achieve the following outcomes: Increased Awareness and Understanding: Participants will develop a basic awareness and understanding of mental health and mental health issues. They will gain knowledge about common mental health conditions, their signs and symptoms, and the importance of mental health in overall well-being. Recognition of Mental Health Signs: Participants will learn to recognize common signs of mental health issues in themselves and others. They will gain an understanding of the importance of early identification and intervention in promoting mental health and seeking appropriate support. Reduced Stigma and Improved Attitudes: The course aims to challenge stigmas and stereotypes associated with mental health. Participants will develop a more empathetic and supportive attitude towards individuals experiencing mental health challenges, promoting a positive and inclusive environment. Enhanced Communication Skills: Participants will learn basic communication skills for engaging with individuals experiencing mental health issues. They will gain an understanding of the importance of active listening, empathy, and non-judgmental communication in providing initial support. Signposting and Seeking Help: Participants will be equipped with knowledge about available resources, services, and support networks for mental health. They will learn about signposting individuals to appropriate professional help and self-help resources. Self-Care and Well-being Strategies: The course may provide participants with practical strategies for maintaining their own mental well-being. They may learn basic self-care techniques and stress management strategies to support their own mental health. Certificate of Completion: Upon successful completion of the course, participants will receive a certificate indicating their achievement of the RQF Level 1 Awareness of First Aid for Mental Health qualification. It's important to note that the Level 1 course provides a basic introduction to mental health awareness and first aid. It is not intended to provide participants with the qualifications or skills to diagnose or treat mental health conditions. Instead, it aims to promote mental health literacy, reduce stigma, and provide individuals with the knowledge to offer initial support and signposting to individuals in need. The Level 1 course can serve as a foundation for further learning and progression in the field of mental health. Individuals may choose to pursue higher-level courses or qualifications to develop more advanced skills and knowledge in mental health first aid or other related areas. Training Course Content MODULE 1 INTRODUCTION Session content Trainer/assessor introduction Learner introductions Course information • Administration • Learning outcomes and assessment criteria • Reasonable adjustments • Certification • Complaints and appeals • Assessment information Session duration 15 minutes MODULE 2 WHAT IS FIRST AID FOR MENTAL HEALTH? Session content Definitions Role and responsibilities of a First Aider The impact of mental health issues Mental health stigma Statistics Session duration 25 minutes MODULE 3 IDENTIFYING MENTAL HEALTH CONDITIONS Session content Mental health continuum Mental health risk factors Early warning signs Session duration 25 minutes MODULE 4 PROVIDING ADVICE AND STARTING A CONVERSATION Session content How to start a difficult conversation Non-judgemental listening skills When to contact the emergency services The First Aider’s own health and emotions Session duration 40 minutes MODULE 5 STRESS Session content What is stress? Causes of stress Effects of stress Coping strategies Session duration 25 minutes MODULE 6 MENTAL HEALTH CONDITIONS Session content Depression Anxiety Psychosis Eating disorders Suicide Self-harm Session duration 70 minutes MODULE 7 ASSESSMENT AND COURSE CLOSURE Session content Written assessment paper Course administration Course closure Session duration 40 minute Course delivery details Classroom-Based A minimum of 4 hours spread over at least one day. Ideally, the course should be run in one day, but must be completed within 2 weeks of starting the course, with each training session a minimum of two hours. Online/Virtual classroom The qualification has 2 assigned guided learning hours (GLH) and 5 hours total qualification time (TQT). GLH indicates the number of contact hours that the learner will have with the trainer/assessor. TQT includes GLH but considers unsupervised learning and is an estimate of how long the average learner will take to achieve the qualification. Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price. Continuing Studies After completing the RQF Level 1 Awareness of First Aid for Mental Health course, individuals can consider various progression options to further their knowledge and skills in mental health support. Here are some potential pathways: RQF Level 2 Award in First Aid for Mental Health: This qualification builds upon the knowledge gained in the Level 1 course and provides a more comprehensive understanding of mental health issues and how to provide appropriate support. It covers topics such as recognizing mental health conditions, promoting well-being, and providing initial support to those in crisis. RQF Level 3 Award in Supervising First Aid for Mental Health: For individuals who aspire to take on leadership or supervisory roles in mental health support, the Level 3 qualification is a logical progression. It provides in-depth knowledge and skills to supervise and manage a team of individuals providing first aid for mental health. Continued Professional Development (CPD): Engaging in ongoing CPD activities is essential for staying updated with the latest developments in mental health support. Individuals can attend workshops, seminars, or conferences related to mental health, trauma, or specific areas of interest within the field. Applied Practice: Applying the knowledge gained from the Level 1 course in real-world settings is crucial for developing practical skills. Individuals can seek opportunities to work or volunteer in environments where mental health support is needed, such as community organizations, schools, or helplines. Mental Health Support Training Programs: There are various specialized training programs available that focus on specific aspects of mental health support, such as suicide prevention, trauma-informed care, or supporting individuals with specific mental health conditions. These programs can provide individuals with additional expertise and deepen their understanding of specific areas within mental health support. Higher Education: Individuals who wish to pursue a more in-depth study of mental health can consider higher education programs in psychology, counseling, social work, or related fields. These programs provide comprehensive knowledge and training in mental health support and may lead to professional certifications or degrees. It's important for individuals to research and explore progression options that align with their specific career goals, interests, and local requirements. Different countries or regions may have varying certification or training requirements for mental health support roles, so it's advisable to check with relevant regulatory bodies or professional associations for specific guidance.

Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 0G53BG IBM SPSS Statistics Essentials (V26) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

Tackle Stress Before It Tackles You! Work-related stress affects 875,000 people every year, and its impacts go beyond the workplace—affecting your mind, body, and personal life. But it doesn’t have to be this way. Join our Stress Management Workshops to: ✔️ Understand the difference between stress and pressure ✔️ Learn the causes of stress in and out of the workplace ✔️ Discover practical coping strategies and build mental resilience These workshops are packed with insights, tools, and strategies to help you take control of your stress levels and improve your well-being—personally and professionally. There are two different ones to choose from - a 2 hour workshop and a 4 hour workshop! Course Contents of 2 hour course: What is Stress Stress versus Pressure Statistics Absenteeism, Presenteeism and Leaveism Workplace Causes of Stress Personal Causes of Stress Short-Term and Long-Term Effects of Stress Coping Strategies Mental Resilience Benefits of this Workshop: In 2022/23. 875,000 people suffered from work-related stress, depression or anxiety The affects of stress are far reaching, affecting one's mind, body, social and personal life Become more aware of what stresses you, what is does to you and find ways to reduce those stress levels

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Wireshark 101 training course description Wireshark is a free network protocol analyser. This hands-on course focuses on troubleshooting networks using the Wireshark protocol analyser. The course concentrates on the product and students will gain from the most from this course only if they already have a sound knowledge of the TCP/IP protocols What will you learn Download and install Wireshark. Capture and analyse packets with Wireshark. Configure capture and display filters. Customise Wireshark. Troubleshoot networks using Wireshark. Wireshark 101 training course details Who will benefit: Technical staff looking after networks. Prerequisites: TCP/IP Foundation for engineers Duration 2 days Wireshark 101 training course contents What is Wireshark? Protocol analysers, Wireshark features, versions, troubleshooting techniques with Wireshark. Installing Wireshark Downloading Wireshark, UNIX issues, Microsoft issues, the role of winpcap, promiscuous mode, installing Wireshark. Wireshark documentation and help. Hands on Downloading and installing Wireshark. Capturing traffic Starting and stopping basic packet captures, the packet list pane, packet details pane, packet bytes pane, interfaces, using Wireshark in a switched architecture. Hands on Capturing packets with Wireshark. Troubleshooting networks with Wireshark Common packet flows. Hands on Analysing a variety of problems with Wireshark. Capture filters Capture filter expressions, capture filter examples (host, port, network, protocol), primitives, combining primitives, payload matching. Hands on Configuring capture filters. Working with captured packets Live packet capture, saving to a file, capture file formats, reading capture files from other analysers, merging capture files, finding packets, going to a specific packet, display filters, display filter expressions. Hands on Saving captured data, configuring display filters. Analysis and statistics with Wireshark Enabling/disabling protocols, user specified decodes, following TCP streams, protocol statistics, conversation lists, endpoint lists, I/O graphs, protocol specific statistics. Hands on Using the analysis and statistics menus. Command line tools Tshark, capinfos, editcap, mergecap, text2pcap, idl2eth. Hands on Using tshark. Advanced issues 802.11 issues, management frames, monitor mode, packet reassembling, name resolution, customising Wireshark. Hands on Customising name resolution.

We're passionate about equipping churches to respond to domestic abuse. Our Domestic Abuse Awareness course will help you explore key questions around the issue of domestic abuse, like how to recognise the signs of domestic abuse, why domestic abuse happens, and how to start supporting survivors.

Total NetFlow training course description A comprehensive hands on course covering NetFlow. The course starts with the basics of flows moving swiftly onto configuring NetFlow and studying the information it provides. What will you learn Describe NetFlow. Configure generators and collectors. Recognise how NetFlow can be used. Describe the issues in using NetFlow. Compare NetFlow with SNMP, RMON and sflow. Total NetFlow training course details Who will benefit: Technical staff working with NetFlow. Prerequisites: TCP/IP Foundation Duration 2 days Total NetFlow for engineers What is NetFlow? Flows. Where to monitor traffic. Hands on Wireshark flow analysis. Getting started with NetFlow NetFlow configuration. Hands on Accessing NetFlow data using the CLI. NetFlow architecture Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Collector software. NetFlow features and benefits Real time segment statistics, real time top talkers, traffic matrices. Hands on Traffic analysis with NetFlow. NetFlow issues NetFlow impact, agent resources, server resources, comparing NetFlow with SNMP, RMON and sflow. Hands on Advanced NetFlow configuration. Export formats Flow aging timers, NetFlow versions, export formats, templates, IPFIX. Hands on NetFlow packet analysis. NetFlow MIBs The NetFlow MIB, configuration, retrieving NetFlow statistics. Hands on Integrating NetFlow with SNMP.