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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.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

The Sales Toolkit workshop has been designed to help you increase your sales performance and skill level for you or your sales team.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Course Overview The Psychology of Alcohol and Drug Addiction course provides a comprehensive insight into the complex psychological factors behind substance misuse and dependency. It explores the behavioural, cognitive, and emotional aspects that contribute to addiction, offering learners a thorough understanding of its causes and effects. Designed to bridge theoretical knowledge with real-world relevance, this course prepares learners to engage more confidently in fields related to mental health, counselling, and addiction support. By completing this course, learners will develop a stronger foundation in recognising addiction patterns, understanding psychological interventions, and applying evidence-based approaches. Whether you are looking to build a career in addiction services or deepen your understanding of this critical area of psychology, the course equips you with valuable insights and knowledge that are highly relevant to today’s social and healthcare settings. Course Description Delving into the psychological roots of alcohol and drug addiction, this course covers a wide range of essential topics including the biological basis of addiction, theories of dependence, psychological treatment models, and societal influences on substance use. Learners will explore how addiction develops, how it impacts mental health, and the key strategies used to address it within professional settings. The course combines theoretical frameworks with an exploration of real-world applications to enhance understanding and critical thinking. Upon completion, learners will possess a clearer perspective on addiction psychology, be familiar with intervention methods, and understand the psychological principles underpinning treatment and recovery. The course is suitable for those seeking to enter mental health support roles, enhance existing professional skills, or simply broaden their knowledge in psychology. It offers a structured learning experience that emphasises both academic understanding and professional development, aligned with contemporary psychological research. Course Modules Module 01: Understanding Addiction: Psychological and Biological Perspectives Module 02: Models of Addiction: Cognitive, Behavioural, and Social Theories Module 03: Psychological Approaches to Treatment and Recovery Module 04: Societal Impact and the Future of Addiction Studies (See full curriculum) Who is this course for? Individuals seeking to understand the psychological foundations of addiction. Professionals aiming to expand their knowledge in mental health and addiction services. Beginners with an interest in psychology, counselling, or behavioural sciences. Volunteers or support workers involved in community or rehabilitation programmes. Students considering further study in psychology or health-related fields. Career Path Addiction Counsellor Mental Health Support Worker Substance Abuse Research Assistant Rehabilitation Case Worker Community Outreach Coordinator Health and Wellness Coach Youth Support Worker Social Work Assistant

Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview Identify independent and dependent variables and measurement levels in their own analytical work scenarios. Identify variables of interest in relational database tables. Choose a data aggregation level and data set design appropriate for the intended analysis and tool. Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. Create stored procedures, views, and functions to modularize data retrieval code. This three-day instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis in other words, making meaning from the data rather than transaction-oriented data-tier application development. The course starts with a brief discussion of levels of measurement and quantitative research methodogy, and integrates these concepts into each TSQL topic presented. The goal is to provide a consistent, direct, and purposeful learning path from RDBMS data retrieval through analytical tools such as SQL Server Reporting Services, PowerBI, Excel, R, SAS, and SPSS. Module 1: Introduction to TSQL for Business Intelligence Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSSJOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNERJOIN Understanding Joins, Part 3: The OUTERJOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTERJOINs Combining JOIN Operations with WHERE and ORDER BY Module 4: Creating an Appropriate Aggregation Level Using GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Module 5: Subqueries, Derived Tables and Common Table Expressions Non-correlated and correlated subqueries Derived tables Common table expressions Module 6: Encapsulating Data Retrieval Logic Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Module 7: Getting Your Dataset to the Client Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Additional course details: Nexus Humans Writing Analytical Queries for Business Intelligence 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 Writing Analytical Queries for Business Intelligence 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 3 Days 18 CPD hours This course is intended for Team leaders, managers, executives, and other business and IT professionals who lead others as well as Individual contributors ready for transformational self-development as a leader. Overview Recognize vulnerability as the emotion we feel during times of uncertainty, risk, and emotional exposure. Explain why courage requires vulnerability. Establish a link between what I learned and behaviors I want to change. Recognize the critical role that self-awareness plays in daring leadership. Give examples to support how armor - not fear -is the greatest obstacle to daring leadership. Identify the four skill sets that make up courage: rumbling with vulnerability, living into our values, BRAVING trust, and learning to rise. Recognize that courage is a collection of four skill sets that are measurable, observable, and teachable. Recognize that vulnerability is the birthplace of many of the behaviors that define daring leadership, including creativity, accountability, and difficult conversations. Give examples of why daring leadership requires showing up for hard conversations and rumbles, including giving and receiving feedback. This workshop is all about your own leadership self-awareness, identifying your call to courage as a leader and the learning, practice and integration of the four courage skills sets so you can show up authentically in life and leadership. Dare to Lead? is the ultimate playbook for developing brave leaders and courageous cultures. The greatest barrier to daring leadership is not fear; the greatest obstacle is armor ? how we self-protect when we feel uncertainty, risk and emotional exposure. Learn the skills to move from armored leadership to daring leadership. Daring leaders are self-aware, know how to have hard conversations, hold themselves and others accountable, build trust, lead with empathy and connection, take smart risks that lead to innovation, reset quickly after disappointments and setbacks, and give and receive feedback. This interactive curriculum is delivered in five, half-day sessions and is based on the research by Bren‚ Brown. This course comes with a PDF workbook and an Amazon gift card to purchase the Dare to Lead? book in the version of your choice. You also have access to a series of leadership and personal development assessments and exclusive training videos led by Dr. Bren‚ Brown. At the end of the event, a digital badge is awarded to those who complete 24 hours of course content. The Heart of Daring Leadership Permission Slips Container Building Armored Leadership versus Daring Leadership Call to Courage Assembling Our Armor Building Grounded Confidence to Replace our Armor Aplying the 5Cs Self-Awareness & Emotional Literacy Developing Emotional Literacy Getting Curious About Emotions Exploring the Iceberg The Myths of Vulnerability Rumbling with Vulnerability The Six Myths of Vulnerability Exploring Your Arena Shame Resilience Shame 101 Defining Shame The Physiology of Shame Shame Shields How Shame Shows Up in Organizations How Shame Shows up at Work Empathy and Self-Compassion Attributes of Empathy What Does Empathy Look Like? Empathy Misses Comparative Suffering Self-Compassion Talk to Yourself the Way You Talk to Someone You Love Empathy & Self-Compassion Commitment Supplemental Exercise: Kristin Neff?s Self-Compassion Scale Supplemental Exercise: Putting Empathy, Curiosity, and Rumble Tools in Action Living Into Our Values Living Into Our Values Values Clarification Taking Values from Professing Words to Practicing Behaviors Grounded Confidence and Rumbling Skills Grounded Confidence and Rumbling Skills Rumble Starters The 5Cs of Strategic Thinking, Decision Making, and Delegation Using the 5Cs Supplemental Exercise ? Gritty Faith & Gritty Facts Supplemental Exercise ? Horizon Conflict Engaged Feedback Giving Engaged Feedback Recognizing Defensiveness in Feedback Conversations BRAVING Trust BRAVING Trust Square Squad Rumbling with Self-Trust Trust with Others Trust on Teams Rumbling with Living BIG Learning to Rise: The Reckoning Learning to Rise: The Rising Strong Process The Rising Strong Process Getting Emotionally Hooked Offloading Hurt: Barriers to Reckoning with Emotion Strategies for Reckoning with Emotion The Rumble and The Revolution Writing My SFD The Delta The Revolution: When the Process Becomes a Daily Practice Supplemental Exercise ? Reset and Resilience Practices Integration Dare to Lead Integration Plan

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Clinical coach standardisation events