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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

Duration 5 Days 30 CPD hours This course is intended for This course is designed for programmatic developers looking to write programmatic customizations to both business logic and UI layers using Apex and Visualforce. You should have a good understanding of core object-oriented programming concepts and experience building declarative solutions on the Salesforce Platform. This course is also a great foundation builder if you're looking to earn your Salesforce Platform Developer I credential. IMPORTANT: Students are expected to follow the steps detailed in the Computer Set-up Guide for this class if you'll be using your own computer when attending a virtual or in-person class. Overview Learn modern tools for developing on the Salesforce Platform using Visual Studio Code, the Salesforce Extension Pack, and the Salesforce CLI. Write business logic customizations using Apex triggers and classes; those customizations will use SOQL and DML. Design programmatic solutions that take advantage of declarative customizations. Describe how your trigger code works within the basics of the Save Order of Execution. Describe some of the fundamental aspects of designing programs on a multi-tenant platform. Write Visualforce markup and code to customize the user interface. Use the built-in testing framework to test Apex and Visualforce. Learn how to customize and design applications programmatically on the Salesforce Platform. In this 5-day class, our platform experts will introduce you to Apex (Salesforce?s programming language) and Visualforce markup, so you can customize your Salesforce applications using code and explore how Apex interacts with declarative customizations on the platform. Learn how to retrieve, manipulate, and store data programmatically in data objects (sObjects), write and test custom logic, write Visualforce pages to customize your user interface, and deploy your solutions to another environment. Get an overview of the declarative automation tools available on the platform and a brief introduction to the Lightning Component framework. Plus, explore the nuances of working on a multi-tenant platform so you can extend the platform to meet business demands. Declarative Automation Create Formula Fields Create Roll-Up Summary Fields Understand Record Types Review Other Automation Tools Build a Data Model on the Salesforce Platform Programming with Apex Describe Key Aspects of Apex That Differentiate It from Other Languages, Such as Java and C# Describe Why Apex Transactions and Governor Limits Must Be Considered When Writing Apex Execute Simple Apex Use the sObject Data Type, the Primitive Data Types, and Basic Control Statements in Apex Using SOQL and SOSL to Retrieve Your Org?s Data Write a Basic Query Using Salesforce?s Query Language, SOQL Process the Result of a Query in Apex Create a Query Dynamically at Run-Time Use SOQL to Query Parent-Child Relationships Describe a Relationship Query Write a Query That Traverses a Child-to-Parent Relationship Write a Query That Traverses a Parent-to-Child Relationship Use SOSL to Search Data Using DML to Manipulate Your Org?s Data List the Differences Between the Ways You Can Invoke DML Operations Write Apex to Invoke DML Operations and Handle DML Errors Deployment What Is Deployment? Deploy Code Using Change Sets Use the Ant Migration Tool Review Managed and Unmanaged Packages Explore Salesforce DX Trigger Essentials Describe What a Trigger Is Used For Describe the Syntax of a Trigger Definition Use Trigger Context Variables Apex Class Essentials Describe How Apex Classes Are Used Define an Apex Class Determine What Data an Apex Class Can Access The Save Order of Execution, Apex Transactions, and Platform Events Describe Key Points in the Order of Execution Describe How Triggers Fit Into and Can Be Impacted by the Order of Execution Describe the Lifecycle of an Apex Transaction Describe the Memory Lifecycle for Static Attributes Use Platform Events for Immediate Error Logging Apex Testing Describe the Apex Testing Framework Create Test Data Write and Run an Apex Test Test Best Practices Strategies for Designing Efficient Apex Solutions Describe Best Practices for Writing Code That Is Easy to Maintain and Extend Write Triggers and Classes That Assume Batches of Data as Input Write Code That Works Efficiently with the Database, Both in Querying and Using DML Trigger Design Strategies List Declarative Mechanisms You Can Use to Implement Complex Business Logic, What Types of Problems They?re Best Used for, and Their Limitations Describe Ways in Which You Can Use Declarative Functionality to Improve Your Programmatic Solutions Working with Visualforce Create a Visualforce Page Reference a Standard Controller Launch a Visualforce Page Using a Custom Button Display Data from a Record in a Visualforce Page Reference Custom Controllers and Controller Extensions Work with List Controllers Visualforce Development Considerations and Testing Describe Common Limit Issues and Security Concerns Describe Strategies for Testing Visualforce Controllers Write Tests for Controller Constructors Write Tests for Action Methods, Getters, Setters, and Properties Lightning Components Create and Surface an Aura Component Create and Surface a Lightning Web Component Additional course details: Nexus Humans Salesforce Build Applications Programmatically on the Salesforce Platform (DEX450) 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 Salesforce Build Applications Programmatically on the Salesforce Platform (DEX450) 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.

From Curiosity to Clarity: An exciting introduction to NLP Ready to dive into the world of Neuro-Linguistic Programming (NLP)? Join us for an engaging event where you'll discover the power of NLP techniques in communication, personal development, and more. Whether you're a seasoned pro or just curious, this is the perfect opportunity to explore the wonders of NLP.

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. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R 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 Beginning Data Analytics With R 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.

Artificial Intelligence (AI) is the most disruptive technology since the internet came onto the scene. AI is transforming every aspect of how we manage projects from developing a business case, to planning the work, managing risk, and tracking performance. Because the technology and market are moving so fast, it can be difficult to know how to start using AI on projects. Generative AI for Project Management will engage you with diverse Generative AI tools to start, plan, and manage either your own project or a generic case study. We will embrace a tool agnostic approach to adopting, integrating, and scaling Generative AI without compromising data or trust. You will have hands-on practice utilizing AI tools to optimize your time and your outcomes. You will be accessing a variety of AI tools requiring you to register for a free account. A computer is required for all traditional classroom deliveries. None At the end of this program, you will be able to: Define essential terms and concepts related to artificial intelligence (AI) Illustrate how prompts facilitate interaction with Generative AI Recognize the capabilities of Large Language Models Craft prompts to develop project origination documents Create prompts to assist in planning a project Develop user stories with Generative AI Analyze project performance using Generative AI Identify the limitations of Generative AI Identify the risks associated with using Generative AI Articulate the need for governance and ethics when establishing an AI program in an organization Course Overview Getting Started Foundation Concepts Understanding essential terms and concepts related to AI Exploring various Generative AI Models Understanding Prompts Creating Prompts for Project Startup Prompts for starting a project Prompts for planning a project Best Practices for prompt engineering Creating Prompts for Managing Projects Creating agile user stories Measuring project performance Analyzing a schedule Using Generative AI Responsibly Limitations of AI Models Establishing an AI governance framework Future trends and next steps Summary and Next Steps

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 3 Days 18 CPD hours This course is intended for Anyone starting to write SAS programs Overview Use SAS Studio and SAS Enterprise Guide to write and submit SAS programs. Access SAS, Microsoft Excel, and text data. Explore and validate data. Prepare data by subsetting rows and computing new columns. Analyze and report on data. Export data and results to Excel, PDF, and other formats. Use SQL in SAS to query and join tables. This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. Essentials The SAS programming process. Using SAS programming tools. Understanding SAS syntax. Accessing Data Understanding SAS data. Accessing data through libraries. Importing data into SAS. Exploring and Validating Data Exploring data. Filtering rows. Formatting columns. Sorting data and removing duplicates. Preparing Data Reading and filtering data. Computing new columns. Conditional processing. Analyzing and Reporting on Data Enhancing reports with titles, footnotes, and labels. Creating frequency reports. Creating summary statistics reports. Exporting Results Exporting data. Exporting reports. Using SQL in SAS Using Structured Query Language in SAS. Joining tables using SQL in SAS. Additional course details: Nexus Humans SAS Programming 1 - Essentials 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 SAS Programming 1 - Essentials 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.

Any successful business manager will tell you that you never get the deal you deserve - you always get the deal you negotiate! This two-day workshop includes recent research and practical techniques from the Harvard Business School Negotiation Project and provides a unique opportunity to learn and practice these skills in a safe environment using up to date materials and life-like practice negotiation case studies. This course will help participants to: Understand the basics of negotiation Develop negotiating skills Increase their business acumen Develop their communication skills Learn the models, techniques and tools for an effective negotiation Identify the barriers to agreements Close the deal 1 What is negotiation? Key skills for negotiation Types of negotiation Win-lose negotiations versus Win-win negotiations Wise agreements and Principled Negotiation 2 Four key negotiating concepts BATNA - Best alternative to negotiated agreement Setting your reservation price ZOPA - Zone of possible agreement Creating and trading value 3 Business acumen Understanding pricing, gross margins and profit Knowing the key points on which to negotiate 4 A Four Phase Model for negotiation Nine steps to successful planning Discussing a deal - creating and claiming value Making and framing proposals Bargaining for the winning deal 5 Effective communication Effective questioning Active listening skills Understanding and interpreting body language Barriers to effective communication 6 Understanding influence and persuasion Influencing strategies Ten proven ways to influence people Six universal methods of persuasion Understanding why people do business with other people 7 Negotiating tactics Tactics for win-lose negotiations Tactics for win-win negotiations Effective team negotiating Understanding and using powerv What do you do when the other side has more power? 8 Barriers to agreement Common barriers to agreement The Negotiators Dilemma Dealing with die-hard negotiators Dealing with lack of trust 9 Potential barriers to cross-border agreements Understanding business methods and practice in other cultures Figuring out who has the power and who makes decisions Recognising and dealing with cultural differences What's OK here might not be OK there 10 Closing the deal Four steps to closing the winning deal

Duration 3 Days 18 CPD hours This course is intended for This introductory-level course is for experienced application developers new to MongoDB. Overview This course is approximately 50% hands-on lab to lecture ratio, combining engaging expert lessons, demos and group discussions with real-world, skills-focused machine-based labs and exercises. Working in a hands-on learning environment, guided by our expert team, you'll explore: Storage Basics MongoDB Document Model MongoDB Setup CRUD: Basics through Advanced Concepts Performance: Basics through Advanced Concepts Aggregation: Basics through Advanced Concepts Replication: Basics through Advanced Concepts Sharding: Basics through Advanced Concepts Schema Design Security Basics, Authentication & Authorization Application Development and Drivers Geared for experienced developers, Introduction to MongoDB for Developers is a comprehensive course that provides you with hands-on experience with the MongoDB query language, aggregation framework, data modeling, indexes, drivers, basic performance tuning, high availability and scaling. Throughout the course, you?ll explore the MongoDB Atlas database environment in detail, gaining job-ready skills you can put right to work after class. Storage Basics What is a Storage Engine? WiredTiger Storage Engine In-Memory Storage Engine Encrypted Storage Engine MongoDB Document Model JSON and BSON MongoDB Data Types MongoDB Setup Atlas Setup / Local MongoDB Setup CRUD Basics Insert Command Find Command Query Operators Remove Command Updating Documents CRUD Advanced Bulk Writes Retryable Writes Find and Modify Transactions Performance Basics Indexes Aggregation Basics Aggregation Pipeline Concepts Aggregation Pipeline Stages Aggregation Pipeline Expressions Aggregation Advanced $lookup stage $graphLookup stage $expr operator Faceted Search Type Conversions Advanced Expression Operators Date Expression Operators Expression Variables Aggregation Pipeline Optimizations Aggregation in a Sharded Cluster Replication Basics MongoDB Replica Sets Replica Set Use Cases Replication Mechanics Replication Advanced Using Write Concern to Tune Durability Semantics Using Read Concern to Tune Read Isolation Using Read Preference Replica Set Tag Sets Sharding Basics Sharding Concepts When to Shard What is a Shard Key? Zoned Sharding / MongoDB Atlas Global Clusters Sharding Advanced Components of a Sharded Cluster Sharding Mechanics Choosing a Good Shard Key Schema Design Schema Design Core Concepts Common Patterns Security Basics Authentication & Authorization Network Encryption Encryption at Rest Auditing