2625 Business courses delivered Live Online

This workshop is very practical in its nature and aims to give delegates an opportunity to not only learn about the key aspects of successful bid writing, but to also put them into practice. The workshop helps delegates understand what is most important to buyers and how to successfully convey they proposition to them. 1 Welcome and introductions 2 The mindset of successful bid writing The mindset needed for successful bid writing Thinking from the buyer's perspective and not your own 3 Decision making The way buyers make decisions - rational and emotional Understanding buying motives Looking at how to present ideas against those motives The idea of cognitive fluency How to pitch an idea in a way that leads to a positive decision 4 To bid or not to bid? Writing a bid is a big commitment; a clear understanding of the chances of winning is required Understanding of the implications of winning and the impact it will have on the organisation 5 Understanding your value proposition Framework to help identify unique proposition and how that fits in with the requirements of the bid 6 The tender process Understanding the process to enable a successful chance of winning the bid Different types of tender processes Evaluation of criteria and the impact on bid writing 7 Writing skills Different ways of writing and structuring bids to ensure their messages gets across well in a way that will be looked on favourably by the buyer 8 Summarise 9 Close

"Learn video marketing essentials for the financial sector—discover what content to create, how to make it on a budget, and where to use it for maximum impact."

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson

This course has a simple objective: to help gain appointments with potential clients. In most consultative selling situations clients won't commit to purchases over the telephone. This means setting up a meeting to discuss the options with them face-to-face. But getting 'face time' can be tricky. This practical workshop can help. Participants will acquire essential tools, skills and methods; discuss specific organisational issues; and identify areas for improvement. They will discover how to: Increase their effectiveness through proper preparation Construct attention-grabbing opening statements Help potential clients feel comfortable agreeing to a meeting Develop tactics for responding to difficult excuses and objections Stress the benefits of a face-to-face consultation Develop and enhance their questioning and listening skills Prevent customers cancelling booked appointments 1 Introduction to appointment setting Key trends that have changed the way people buy today - and will buy tomorrow Why many sales people avoid picking up the phone The difference that makes a difference - what makes a good appointment-maker? 2 Before you pick up the telephone It all starts with a plan... Who and what to focus our attention How much research should we undertake and why? Setting primary and secondary objectives 3 Making your approach Key considerations Every call is an opportunity - creating a positive mind-set Using a structured approach Using partnership language 4 Gaining an insight into the customer's needs How to quickly 'tune in' to your customers, so that you can serve them more easily Developing speech patterns that put customers at their ease Using effective questioning and listening skills Finding and building pain points 5 Dealing with excuses and objections Pre-empting potential excuses Developing techniques for responding to client objections Keeping the door open for future contact 6 Securing the appointment Selling the benefits of a consultancy meeting Techniques for avoiding cancelled appointments Gaining commitment 7 Action plans Course summary and presentation of action plans

Take your organisation’s presentations to the next level by truly engaging second language English speakers with our specific techniques. Help them communicate key messages with confidence and clarity to the whole audience. With lots of opportunities for practice in a very safe space, participants will build their skills in the guiding hands of our experts. This bespoke course will include: Presenter self-awareness Essential cultural etiquette Powerful PowerPoint strategies for second-language speakers Linguistic mindfulness A new understanding of ‘less is more’

Learn how to break down ethical dilemmas into steps to help you make wiser decisions.

Course Overview This course on "Energy Saving in Electric Motors" provides learners with a comprehensive understanding of the principles and techniques for improving energy efficiency in electric motors. With the increasing demand for sustainable practices, this course equips participants with the knowledge to identify and implement energy-saving solutions, ultimately helping businesses reduce operational costs and environmental impact. Through a structured approach, learners will explore motor classifications, losses, and various strategies for optimising energy consumption. By the end of the course, participants will be equipped with the skills to enhance motor performance, ensuring long-term energy savings and contributing to a greener future. Course Description The "Energy Saving in Electric Motors" course covers a wide range of topics crucial for understanding energy efficiency in motor systems. Learners will explore key concepts such as motor classifications, relevant terminology, and the various losses associated with electric motors. The course delves into multiple strategies for energy saving across five focused modules, providing detailed insights into how energy consumption can be reduced at different stages of motor operation. The course also introduces energy-efficient motor technologies, ensuring learners gain a well-rounded understanding of the subject. Participants will develop the skills to identify opportunities for energy optimisation in motor systems, improving both operational efficiency and environmental sustainability. Course Modules Module 01: Introduction Module 02: Classification Module 03: Terminologies Module 04: Losses Module 05: Energy saving in motors part I Module 06: Energy saving in motors part II Module 07: Energy saving in motors part III Module 08: Energy saving in motors part IV Module 09: Energy saving in motors part V Module 10: Energy Efficient Motor (See full curriculum) Who is this course for? Individuals seeking to improve energy efficiency in industrial operations. Professionals aiming to enhance their expertise in electric motor systems. Beginners with an interest in energy management or electrical engineering. Environmental advocates looking to contribute to sustainable practices in the industrial sector. Career Path Energy Efficiency Consultant Electrical Engineer (Industrial Applications) Sustainability Manager Motor Systems Specialist Energy Auditing Professional

Course Overview This comprehensive Anti-Money Laundering (AML) Training Level 5 course offers a deep exploration of the UK’s anti-money laundering regulations and reporting requirements. Learners will gain a solid understanding of money laundering typologies, the legal framework surrounding the Proceeds of Crime Act 2002, and the roles and responsibilities of compliance professionals. Through structured learning, this course prepares individuals to effectively identify, assess, and report suspicious activity within financial and non-financial institutions. Ideal for professionals in banking, finance, legal, and corporate sectors, the course builds awareness of AML obligations and supports regulatory alignment. Upon completion, learners will possess the theoretical knowledge required to contribute to financial crime prevention, risk management, and organisational integrity. Course Description The Anti-Money Laundering (AML) Training Level 5 course is designed to equip learners with an in-depth understanding of regulatory requirements, reporting procedures, and due diligence obligations. The course examines key legislation such as the Proceeds of Crime Act 2002, and outlines the development of AML frameworks across sectors. Learners will study the responsibilities of the Money Laundering Reporting Officer (MLRO), the importance of record-keeping, and how to implement a risk-based approach in compliance programmes. Emphasis is placed on identifying suspicious transactions, maintaining regulatory standards, and fostering awareness throughout an organisation. Whether preparing for a role in compliance or enhancing existing knowledge, this course supports learners in aligning with UK regulatory expectations and strengthening their ability to safeguard businesses from financial crime. Course Modules: Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Office Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training (See full curriculum) Who is this course for? Individuals seeking to understand financial crime regulations and prevention measures. Professionals aiming to transition into compliance, audit, or financial regulation roles. Beginners with an interest in anti-money laundering, financial oversight, or legal studies. Employees responsible for ensuring compliance within financial or legal institutions. Career Path Anti-Money Laundering Officer Compliance Analyst Risk and Governance Associate Financial Crime Consultant Internal Auditor Regulatory Affairs Specialist Legal and Compliance Assistant

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.

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security