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Complete Health: The Perfect Diet Exercise And Motivation Course Overview "Complete Health: The Perfect Diet Exercise And Motivation" is an all-encompassing course designed to provide a comprehensive understanding of health, fitness, and wellness. The course covers essential areas including diet, exercise, and motivation, offering learners the knowledge and tools to enhance their overall wellbeing. Through a well-structured curriculum, learners will explore the significance of a balanced diet, effective exercise routines, and how to maintain motivation for long-term success. By the end of the course, learners will be equipped to make informed decisions about their health, improve their fitness levels, and adopt a sustainable lifestyle. Course Description This course delves deeply into the key components of health and fitness, covering a broad spectrum of topics such as healthy dieting, weight loss strategies, building muscle, and stress reduction techniques. Learners will gain insight into nutrition essentials and the importance of physical exercise for overall health. The course also addresses mental health by offering guidance on managing stress and enhancing motivation. As learners progress, they will develop a solid foundation in health principles, acquiring the skills to implement and maintain a healthy lifestyle. The structured learning experience ensures that students not only grasp theoretical knowledge but also understand its application in daily life. Complete Health: The Perfect Diet Exercise And Motivation Curriculum: Module 01: Introduction Module 02: Healthy Dieting & Weight Loss Module 03: Exercise & Building Muscle Module 04: Mental Health & Stress Reduction Module 05: Common Health & Fitness Questions Answered (See full curriculum) Who is this course for? Individuals seeking to improve their overall health and fitness. Professionals aiming to broaden their knowledge of health and wellness for career development. Beginners with an interest in health, fitness, and wellness. Those looking to gain a deeper understanding of diet and exercise principles. Career Path Health Coach Fitness Trainer Wellness Consultant Nutritionist Mental Health Advisor Corporate Wellness Coordinator

Duration 3 Days 18 CPD hours This course is intended for Senior Executives CIOs and CTOs Business Intelligence Executives Marketing Executives Data & Business Analytics Specialists Innovation Specialists & Entrepreneurs Academics, and other people interested in Big Data Overview More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection. Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students. Workshop Application Use Cases Oz Metropolitan Architectural questions Team activity: Analyze Metroz Application Use Cases Application Vertical Slice Definition Minimizing risk of an unsound architecture Selecting a vertical slice Team activity: Identify an initial vertical slice for Metroz Application Processing Real time, near real time processing Batch processing Data access patterns Delivery and processing guarantees Machine Learning pipelines Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines Application Data Three V?s of Big Data Data Lifecycle Data Formats Transforming Data Team activity: Metroz Data Requirements Scalable Applications Scale up, scale out, scale to X Determining if an application will scale Poll: scalable airport terminal designs Hadoop and Spark Scalability Team activity: Scaling Metroz Fault Tolerant Distributed Systems Principles Transparency Hardware vs. Software redundancy Tolerating disasters Stateless functional fault tolerance Stateful fault tolerance Replication and group consistency Fault tolerance in Spark and Map Reduce Application tolerance for failures Team activity: Identify Metroz component failures and requirements Security and Privacy Principles Privacy Threats Technologies Team activity: identify threats and security mechanisms in Metroz Deployment Cluster sizing and evolution On-premise vs. Cloud Edge computing Team activity: select deployment for Metroz Technology Selection HDFS HBase Kudu Relational Database Management Systems Map Reduce Spark, including streaming, SparkSQL and SparkML Hive Impala Cloudera Search Data Sets and Formats Team activity: technologies relevant to Metroz Software Architecture Architecture artifacts One platform or multiple, lambda architecture Team activity: produce high level architecture, selected technologies, revisit vertical slice Vertical Slice demonstration Additional course details: Nexus Humans Big Data Architecture Workshop 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 Big Data Architecture Workshop 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 Workspace ONE administrators, account managers, solutions architects, solutions engineers, sales engineers, technical support engineers, and consultants Overview By the end of the course, you should be able to meet the following objectives: Summarize the basic troubleshooting methodologies Outline common troubleshooting techniques in the Workspace ONE UEM console Outline common troubleshooting techniques when integrating enterprise solutions in the Workspace ONE UEM console Summarize common troubleshooting strategies for Workspace ONE UEM managed devices Outline common application management troubleshooting techniques in the Workspace ONE UEM console Summarize common troubleshooting techniques for email management in the Workspace ONE UEM console Explain common troubleshooting approaches for the VMware Unified Access Gateway™ platform and individual edge services Outline useful troubleshooting tools, such as the Self-Service Portal and VMware Workspace ONE Assist™ In this two-day course, you learn to investigate, analyze, and determine issues that might occur with all the different components of VMware Workspace ONE© UEM. Troubleshooting is the backbone of service maintenance and management. To effectively troubleshoot product issues, administrators must understand how product services communicate and function. This in turn helps optimize service and software health management. Course Introduction Introductions and course logistics Course objectives Fundamentals of Troubleshooting Workspace ONE UEM Outline software troubleshooting logic and support methods Summarize the main process flows for the Workspace ONE UEM components Explain the importance of Workspace ONE UEM process flows for troubleshooting Identify different Workspace ONE UEM log files Workspace ONE UEM Console Troubleshooting Outline the best practices for troubleshooting Workspace ONE UEM console issues Identify common group management and assignment-related issues Outline common issues for Workspace ONE UEM console roles and system settings Understand how analytic events can be used to identity platform errors Summarize the steps for collecting and analyzing Workspace ONE UEM console logs Integration Troubleshooting Outline the common enterprise integrations in Workspace ONE UEM Outline common troubleshooting techniques for the VMware AirWatch© Cloud Connector? Troubleshoot issues related to Directory Services integration Identify directory user and groups synchronization issues Troubleshoot issues related to certificate authority integration Explain VMware Workspace ONE© Access? integration and VMware Workspace ONE© Intelligent Hub troubleshooting techniques Endpoint Troubleshooting Compare the endpoint connection topologies in Workspace ONE UEM Outline useful tools and resources for endpoint troubleshooting Summarize the best practices for device enrollment troubleshooting Explain device connectivity troubleshooting techniques Understand how to identify and resolve profile-related issues Identify common compliance policy issues and potential root causes Applications Troubleshooting Explain the different scoping questions for troubleshooting applications Review application management configurations Summarize the general tools and resources for application troubleshooting Describe the general logic of troubleshooting public applications Understand internal application issues and potential causes Explain purchased application troubleshooting techniques Unified Access Gateway And Edge Services Troubleshooting Review Unified Access Gateway architecture and edge service workflows Understand Unified Access Gateway general configurations Explain how to utilize Unified Access Gateway related troubleshooting tools and resources Identify and resolve common issues for Content Gateway on Unified Access Gateway Summarize troubleshooting techniques for VMware Workspace ONE© Tunnel? on Unified Access Gateway Email Troubleshooting Review different email architecture and workflows Summarize common errors associated with email profiles Identify tools and resources for email troubleshooting Discuss troubleshooting techniques for VMware AirWatch© Secure Email Gateway? on Unified Access Gateway Outline PowerShell integration issues and techniques to address them Additional Troubleshooting Tools Describe how the Self-Service Portal helps administrators and empowers end-users to resolve issues Understand how Workspace ONE Assist can help endpoint troubleshooting

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.

Mercer’s Financial Education Clinic – Helping You Plan for the Future We are excited to invite you to Mercer’s Financial Education Clinic, a group session designed to help you take control of your financial future. This session will provide expert guidance on key financial topics, equipping you with the knowledge to make informed decisions about your finances. What Will Be Covered? During this session, we will explore: The importance of making a will and the potential risks of not having one The role and significance of Power of Attorney documents An overview of inheritance tax Possible planning strategies and solutions to manage estate matters effectively This interactive session will give you the opportunity to gain practical insights and ask questions to help you better understand how to plan and protect your financial legacy. Whether you're thinking about the future for yourself or your loved ones, this session will provide valuable guidance to support your estate planning journey. We encourage all employees to attend and take advantage of this valuable financial education opportunity. Session Details: Date: 12th November 2025 Time: 9:30 a.m. – 10:30 a.m. Location: Virtual

Mercer’s Financial Education Clinic – Helping You Plan for the Future We are excited to invite you to Mercer’s Financial Education Clinic, a group session designed to help you take control of your financial future. This session will provide expert guidance on key financial topics, equipping you with the knowledge to make informed decisions about your finances. What Will Be Covered? During this session, we will explore: Key steps to build a strong financial foundation early in your career Strategies for saving effectively and getting onto the property ladder The importance of starting a retirement plan early Building confidence around financial decision-making as a young professional This interactive session will give you the opportunity to gain practical insights and ask questions to help you take control of your financial future from the very beginning of your career. Whether you're just starting out or looking to strengthen your financial understanding, this session will offer valuable tips and tools to support your goals. We encourage all employees to attend and take advantage of this valuable financial education opportunity. Session Details: Date: 12th November 2025 Time: 11:00 a.m. – 12:00 p.m. Location: Virtual

Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. This course provides participants with a foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices with banks of sample questions. PMI-ACP© Exam Preperation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process Core Agile Concepts Core Agile Concepts Overview Traditional Project Management Methodologies Drawbacks of Waterfall Methodologies Agile Approach Empirical Process Control Agile and Traditional Project Management Choice of Methodologies/Frameworks The Agile Manifesto The Agile Manifesto Overview Manifesto Contributors Manifesto Values Manifesto Principles Common Agile Methodology Elements Common Agile Methodology Elements Overview Project (Product; Release) Initiation Agile Planning Iteration Planning and Executing Project Initiation Project Initiation Overview Determine Project Justifications and Metrics Provide Value-Driven Delivery Write Project Vision Statement Create Project Charter Identify Stakeholders and Leader/Coach Form Project Team Agile Teams and Team Space Agile Teams and Team Space Overview Scrum Master/Coach Product Owner/Customer Team Members/Developers (XP) Trackers and Testers Other Roles Team Space Physical Space Recommendations Agile Planning Agile Planning Overview Develop Epics and Stories Create Stories Non-Customer Facing Stories Personas and Extreme Personas Story Maps Estimating Stories Prioritizing Stories Create Product Backlog Create Product Roadmap Conduct Release Planning Create Parking Lot Iterations/Sprints Iterations/Sprints Overview Velocity Determination Iteration Planning Meeting Iteration Planning Guidelines Development Testing Daily Standup Meetings Progress Tracking Velocity Tracking Interpersonal Aspects of Agile Interpersonal Aspects of Agile Overview Methodologies and Uncertainty Coach/Scrum Master Team Motivation Soft Skills Emotional Intelligence Collaboration Negotiations Active listening Conflict Resolution Speed Leas? Model of Group Conflict Conducting Retrospectives Mindsets of Agile Coaches Leadership Stages Key Coaching Responsibilities Agile Methodologies Agile Methodologies Overview XP and Scrum Terms XP Terms and Concepts XP Primary Practices XP Corollary Practices Scrum Lean Software Development Seven Principles of Lean Seven Types of Muda Responsibilities Core Beliefs of Lean-Agile Software Development Other Principles of Lean-Agile Software Development Value Stream Mapping Lean-Agile Software Development Portfolio Management Additional course details: Nexus Humans PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation 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 PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation 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.

Supporting people managers The flagship CAPE programme is different to other management development programmes. We offer people management training that supports managers to feel equipped, enabled and empowered to make an immediate and lasting impact. You will benefit from learning how conversation styles, self-belief and authenticity matter and practice your skills with one of our many charity partners towards the end of your training. 12 month multi-element programme Learn new coaching skills Work with charities to utilise your skills Limited spaces £1,795 plus VAT per person Our mission is to help you become a brilliant manager.

𝐃𝐢𝐝 𝐘𝐨𝐮 𝐤𝐧𝐨𝐰? 😍Vision Boards improves your chance of success! Here's just a few benefits from the process of vision boarding ⤵️ 🔸 Helps you to connect with what you truly want from life; 🔸 Shift your mindset; 🔸 Provides a tool to align and focus your goals And are a great opportunity to meet new and like minded people! I'm looking forward to hosting this vision board workshop with you. 🙏🏻Give me a shout if you have any questions.

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