794 Relationships courses in Addlestone delivered Live Online

Wanna learn something simple yet so amazing that it's going to blow your mind? Good, because this little workshop's a gem. Join Happy Human Training's Cami Rose as she shares her decades of experience as a counsellor and coach with an introduction to the power of noticing and the crucial role it can play in helping us better manage our day to day stresses, challenges and relationships.

Wanna learn something simple yet so amazing that it's going to blow your mind? Good, because this little workshop's a gem. Join Happy Human Training's Cami Rose as she shares her decades of experience as a counsellor and coach with an introduction to the power of noticing and the crucial role it can play in helping us better manage our day to day stresses, challenges and relationships.

Learn how to work with and connect multiple data sets to effectively analyse and report on data. Course overview Duration: 1 day (6.5 hours) Within Excel you have some powerful features to enable you to connect and analyse multiple data sources. Power Query enables you to import and manipulate your data, Power Pivot enables you to connect multiple data sources and create pivot tables and pivot charts from them. This course is an introduction to Power Query and Power Pivot in Excel to get you started on creating a powerful reporting capability. Knowledge of working with Excel workbooks and relational databases would be an advantage. Objectives By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Add extra columns of data Append data Merge data from other tables Create data models Build data relationships Build Pivot Tables Build Pivot Charts Use Slicers and Timeline Filters Content Importing data Data sources Importing data Transforming data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Appending queries Appending data from other tables Adding text Columns from example Custom columns Conditional columns Merge queries Setting up and using merge queries Merging in columns of data Creating a data model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Analysing information using pivot tables Creating and modifying a Pivot Table Recalculating the Pivot Table Filtering the Pivot Table Searching the Pivot Table Drilling down to underlying data Customising field names Changing field formatting Pivot charts, slices and timelines Creating Pivot Charts Adding and using Slicers

Master Globalization and the Global Economy 🌍💡 Discover the forces driving our interconnected world in this live online course. Explore the interplay of politics and economics through key theories, global trade, finance, and governance. Perfect for aspiring policymakers, business leaders, and global thinkers—enroll today to unlock the skills to navigate the global political economy!

This course offers a dynamic introduction to Globalization and the Global Political Economy (GPE), exploring the intricate relationship between political actors and the global economic marketplace. Through a theoretically rich and historically grounded lens, you’ll examine the development, operations, and future trajectory of the global political economy. You’ll learn to apply diverse theoretical frameworks to critically analyze global economic processes. The course begins with an in-depth look at foundational GPE perspectives—mercantilism, liberalism, and structuralism—each built on distinct assumptions that shape our understanding of global economic events. From there, we’ll investigate the international "structures" of production, trade, finance, and knowledge, addressing critical questions: Who controls these structures, and to what end? What rules govern international trade? How do institutions like the IMF, World Bank, and multinational corporations shape global flows of goods and investment? Who benefits from controlling knowledge? The course culminates with an exploration of 21st-century global governance, highlighting the rise of new economic and political power centers and their evolving roles in the world. The course concludes with an exploration of 21st-century global governance, spotlighting the emergence of new economic and political power centers, such as BRICS, and their evolving roles in the world. We’ll also examine how the United States under Donald Trump shifted from traditional liberal internationalism toward more transactional and bilateral approaches, reshaping global relationships and challenging established norms Learning Outcomes By the end of this course, you will be able to: Analyze the major political themes in the historical evolution of the international economy. Understand debates surrounding the emergence and impacts of a globalized economy, including patterns of inequality. Evaluate key GPE theories and perspectives in both historical and contemporary contexts. Apply theoretical insights to explain the causes and effects of international trade, capital flows, monetary relations, and globalization debates. Recognize the vital role of human and environmental security in political economy studies. Demonstrate strong analytical and critical thinking skills when assessing political phenomena. Why Study Global Political Economy? Global Political Economy (GPE), also known as International Political Economy (IPE), untangles the complex interplay between global politics and economics. It’s an ideal field for anyone eager to understand how international policies, trade, finance, and institutions shape the world’s economic landscape. Whether you’re aiming for a career in policymaking, international relations, or a related field, this course equips you with essential tools to navigate the complexities of the global economic system and its profound influence on our world. Who Should Take This Course? This course is perfect for professionals, academics, and students interested in international relations, the global economy, or related disciplines. Whether your focus is policymaking, economic analysis, or global studies, you’ll gain valuable insights and analytical skills to deepen your understanding. Take the Next Step Don’t miss out—register today to secure your spot and immerse yourself in the fascinating world of globalization and political economy!

Duration 2 Days 12 CPD hours This course is intended for This course is suited to marketeers, business analysts, and researchers who are interested in increasing their statistical knowledge. Overview After attending this course, delegates will understand how statistics can be used to provide valuable insight into their business, and be able to apply statistical methods to solve business problems. On returning to work delegates will immediately be able to make a difference to the way that their organisations make decisions. This course covers the statistical methods that analysts need to move from simple reporting on business problems to extracting insight to solve business problems. Course Outline The course will explore the following topics through a series of lectures and workshops: Summary statistics for both continuous data and categorical data Using and reporting confidence intervals Using hypothesis tests to answer business questions Using correlations to explore data relationships Simple prediction models Analysing categorical data Additional course details: Nexus Humans Data-driven Business Using Statistical Analysis 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 Data-driven Business Using Statistical Analysis 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 The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. Overview After completing this course, students will be able to: ? Perform Power BI desktop data transformation. ? Describe Power BI desktop modelling. ? Create a Power BI desktop visualization. ? Implement the Power BI service. ? Describe how to connect to Excel data. ? Describe how to collaborate with Power BI data. ? Connect directly to data stores. ? Describe the Power BI developer API. ? Describe the Power BI mobile app. The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App. Introduction to Self-Service BI Solutions Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations for self-service BI Microsoft tools for self-service BI Lab : Exploring an Enterprise BI solution Introducing Power BI Power BI The Power BI service Lab : Creating a Power BI dashboard Power BI Using Excel as a data source for Power BI The Power BI data model Using databases as a data source for Power BI The Power BI service Lab : Importing data into Power BI Shaping and Combining Data Power BI desktop queries Shaping data Combining data Lab : Shaping and combining data Modelling data Relationships DAX queries Calculations and measures Lab : Modelling Data Interactive Data Visualizations Creating Power BI reports Managing a Power BI solution Lab : Creating a Power BI report Direct Connectivity Cloud data Connecting to analysis services Lab : Direct Connectivity Developer API The developer API Custom visuals Lab : Using the developer API Power BI mobile app The Power BI mobile app Using the Power BI mobile app Power BI embedded

Duration 1 Days 6 CPD hours This course is intended for This course is intended for organizations engaged with remote workforce teams. Overview Upon successful completion of this course, participants will be able to identify and create high performance teams. In this course, teams will learn the importance of developing performance skills while working remotely. Getting Started Workshop Objectives Action Plan Remote Workforce What is a Remote Workforce? Types of Remote Workforce Benefits of a Remote Workforce Materials for Remote Workforce Practical Illustration High Performance Teams What is a High-Performance Team? Benefits of High-Performance Teams Leadership for High Performance Team Understanding Team Dynamics Practical Illustration Characteristics of High-Performance Teams Excellent Communication Goal-Oriented Flexibility Committed Practical Illustration How to Create Teamwork Identify Group & Individual Responsibilities Give Permission to Take Action Build Relationships between Team Members and Management Give Feedback Practical Illustration Types of Communication Virtual Team Meetings Telephone Conferences Email Communication Intranet, Webpage, and Social Media Communication Practical Illustration Training Your Team Telecommute Training Web-based Training Peer Training Training Assessment and Retraining Practical Illustration Types of Communication Tracking Team Performance Counseling Employees Positive Recognition for Employees Training Never Stops! Practical Illustration Effective Team Meeting How-to 43 Have a Clear Agenda Have a Clear Agenda Use Screen Shots or References Create a Safe Place Team Meeting Don?ts Practical Illustration Keep a Happy and Motivated High-Performance Team Watch for Signs of Conflict or Unhappiness Employee Feedback and Concerns Give Opportunities for Additional Education Impart Opportunities for Career Growth Practical Illustration Don?ts? with High Performance Teams Don't Forget to Share Success Don't Delay in Responding Don?t Assign Vague Responsibilities Don?t Lead as a Dictator Practical Illustration Wrapping Up Words from the Wise

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, Data Consultants/Managers, and Solution Architects. Overview Students will set up and deliver their own master data from SAP ERP to SAP SCM (APO), and make any necessary master data enhancements to ensure proper planning results in APO.Students will complete the modeling of their supply chain by creating APO master data that is necessary to activate a fully functional Supply Chain in APO. In this course, students learn how to set up and configure the standard interface between the SAP ERP system and SAP SCM with focus on SAP APO. Integration for Supply Chain Modeling Integrating SAP ERP and SAP SCM Configuring an Integration Model Using Monitoring and Error-Processing Tools Setting Up Incremental Data Transfers for Master Data Changes Organizing Integration Models Performing Routine Operations with Background Processing Supply Chain Locations Managing Locations Integrating Plant Data Integrating MRP Areas Managing Transportation Zones Integrating Customers as Locations Integrating Vendors as Locations Integrating Factory Calendars and Time Streams Supply Chain Products Integrating Products Maintaining Product Data External Procurements Relationships Integrating Purchasing Information Records Integrating Scheduling Agreements Network Modeling Creating Means of Transportation Creating Transportation Lanes Supply Chain Resources Integrating Production Resources Creating Supply Chain Management (SCM)-Specific Resources Integrating Capacity Variants Integrating Setup Groups and Matrices Manufacturing Process Modeling Preparing Integration of Master Data Mapping Bill of Materials (BOM) Fields Mapping the Routings Fields Integrating Production Master Data Transferring a Master Recipe to a Production Process Model (PPM) Transferring Characteristics and Classes Quota Arrangement Creating Quota Arrangements Supply Chain Modeling Creating an SAP liveCache Model Creating a Version in SAP SCM Using the Supply Chain Engineer (SCE) Transactional Data Integration Integrating Transactional Data Supply Chain Subcontracting Preparing Master Data for Subcontracting

Duration 2 Days 12 CPD hours This course is intended for This is an Intermediate PowerBI course geared for experienced users who wish to leverage the tool's more advanced capabilities Overview This course is about 50% hands-on lab and 50% lecture, designed to train attendees in essential PowerBI data handling functions and reporting skills, coupling the most current, effective techniques with the soundest practices. Attendees of this course will gain practical examples from the experienced instructor who has deployed and configured Power BI reporting in a wide variety of businesses. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: Create Advanced Power BI Reports Advanced understanding of the data schemas and extracting data Perform advanced transformations of data or any data schema Utilize time-phased data in the creation of complex analyses Create new measures using DAX Filter data using row-level security Create and deploy content packs Use Power BI to integrate with line-of-business applications Next Level Power BI for Experienced Users is a two day, course that provides attendees already experienced with Microsoft Power BI basics with a hands-on exploration of intermediate and beyond level features. This course is geared for attendees ready to learn the advanced techniques that you, your business analysts, and your stakeholders need to create complex information from projects, program, and portfolio reporting to utilizing time-phased data and, potentially, data from your enterprise?s other line-of-business tools. Get Project Online Data Select and mine relevant tables with ODATA Advanced ODATA data mining Importing other data formats Advanced Editing of data queries Advanced Data Transformations Managing table relationships Creating & using data hierarchies Creating custom columns and measures and metrics for filtering and reporting Creating Power BI Reports Using advanced visualizations Configuring drill-down Modifying visual interactions Importing and creating custom visuals Configure Power BI Security Creating Dashboard and row-level security Utilizing Filtering using row-level security Publishing Reports and Dashboards Building Mobile Reporting Creating and deploying content packs Configuring natural language query