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Proofreading & Copyediting Level 5 Course Overview This Proofreading & Copyediting Level 5 course offers an in-depth understanding of the essential skills required for proofreading and copyediting. Learners will explore key techniques for enhancing text accuracy, consistency, and clarity. Through detailed lessons, this course covers proofreading basics, the application of style guides, grammatical rules, and the intricacies of copyediting. Learners will also gain knowledge in legal checks and how to develop a successful career in this field. By the end of the course, participants will have a solid foundation in proofreading and editing, enabling them to produce high-quality written content that meets industry standards. Course Description This comprehensive course dives into the world of proofreading and copyediting, focusing on fundamental skills and advanced techniques. Learners will examine key concepts like applying style guides, understanding grammar rules, and maintaining text accuracy. Modules cover proofreading both on paper and on-screen, copyediting for language use, accuracy, and legal checks. A significant part of the course involves developing an understanding of professional editing practices, which will enable learners to work in various industries such as publishing, marketing, and legal sectors. The course structure is designed to offer a gradual progression, helping learners to refine their skills and gain confidence in producing error-free and well-polished content. Proofreading & Copyediting Level 5 Curriculum Module 01: Proofreading Basics Module 02: Applying the Style Guide Module 03: Spelling and Grammar Module 04: Proofreading on Paper Module 05: Proofreading On-Screen Module 06: Copy-Editing Basics Module 07: Copy-Editing – The Use of Language Module 08: Copy-Editing – Checking Accuracy and Facts Module 09: Copy-Editing – The Beginning and The End Module 10: Copy-Editing – Legal Checks Module 11: Finding Work and Developing Your Career (See full curriculum) Who is this course for? Individuals seeking to improve their proofreading and editing skills. Professionals aiming to advance in editing and publishing careers. Beginners with an interest in editing and writing industries. Anyone seeking to refine their written communication. Career Path Proofreader Copyeditor Content Editor Publishing Assistant Editorial Assistant Freelance Proofreader/Copyeditor Legal Proofreader Publishing Manager

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

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who desire to become more skilled at handling difficult customers. Overview Upon successful completion of this course, students will be able to deal with difficult customers in a way that increases productivity and customer service, and decreases unhappy customers. In this course, students will gain a valuable skill set to deal with difficult customers in various situations. 1 - GETTING STARTED Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan 2 - THE RIGHT ATTITUDE STARTS WITH YOU Be Grateful Keep Your Body Healthy Focus on Positive Thoughts Invoke Inner Peace Case Study 3 - INTERNAL STRESS MANAGEMENT Irritability Unhappiness with Your Job Feeling Underappreciated Not Well-Rested Case Study 4 - EXTERNAL STRESS MANAGEMENT Office Furniture Not Ergonomically Sound High Noise Volume in the Office Rift with Co-Workers Demanding Supervisor Case Study 5 - TRANSACTIONAL ANALYSIS What is Transactional Analysis? Parent Adult Child Case Study 6 - WHY ARE SOME CUSTOMERS DIFFICULT? They Have Truly Had a Bad Experience and Want to Vent They Have Truly Had a Bad Experience and Want Someone to be Held Accountable They Have Truly Had a Bad Experience and Want Resolution They Are Generally Unhappy Case Study 7 - DEALING WITH THE CUSTOMER OVER THE PHONE Listen to the Customer?s Complaint Build Rapport Do Not Respond with Negative Words or Emotion Offer a Verbal Solution to Customer Case Study 8 - DEALING WITH THE CUSTOMER IN PERSON Listen to the Customer?s Complaint Build Rapport Responding with Positive Words and Body Language Besides Words, What to Look For? Case Study 9 - SENSITIVITY IN DEALING WITH CUSTOMERS Who are Angry Who Are Rude With Different Cultural Values Who Cannot Be Satisfied Case Study 10 - SCENARIOS OF DEALING WITH A DIFFICULT CUSTOMER Angry Customer Rude Customer Culturally Diverse Customer Impossible to Please Customer Case Study 11 - CUSTOMER ONCE YOU HAVE ADDRESSED THEIR COMPLAINT Call the Customer Send the Customer an Email Mail the Customer a Small Token Handwritten or Typed Letter Case Study 12 - WRAPPING UP Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations