778 Courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is designed primarily for network and software engineers who are interested in learning about automation and programmability and hold the following job roles: Network engineer Systems engineer Wireless engineer Consulting systems engineer Technical solutions architect Network administrator Wireless design engineer Network manager Sales engineer Account manager Overview Upon completing this course, the learner will be able to meet these overall objectives: Get familiar with different API styles (REST, RPC) and synchronous and asynchronous API requests Learn how to use Postman software development tool in order to test the API calls Learn how to automate repetitive tasks using Ansible automation engine Explore a Python programming language, Python libraries and Python virtual environments and learn how can they be used for automation of network configuration tasks Get introduced to GIT version control system and its common operations Learn how to leverage the various models and APIs of the Cisco IOS XE platform to perform day-zero operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python Learn about the paradigm shift of model-driven telemetry and the building blocks of a working solution Learn how to leverage the tools and APIs to automate Cisco DNA infrastructure managed by Cisco DNA Center™ Demonstrate workflows (configuration, verification, health checking, and monitoring) using Python, Ansible, and Postman Understand Cisco SD-WAN solution components, implement a Python library that works with the Cisco SD-WAN APIs to perform configuration, inventory management, and monitoring tasks, and implement reusable Ansible roles to automate provisioning new branch sites on an existing Cisco SD-WAN infrastructure Learn how to leverage the tools and APIs to automate Cisco Meraki managed infrastructure and demonstrate workflows (configuration, verification, health checking, monitoring) using Python, Ansible, and Postman Implementing Automation for Cisco Enterprise Solutions (ENAUI) v.1.2 teaches you how to implement Cisco Enterprise automated solutions, including programming concepts, orchestration, telemetry, and automation tools. This course highlights the tools and the benefits of leveraging programmability and automation in the Cisco-powered Enterprise Campus and WAN. You will also examine platforms including IOS XE software for device-centric automation, Cisco DNA Center for the intent-based enterprise network, Cisco Software-Defined WAN, and Cisco Meraki. Their current ecosystem of APIs, software development toolkits, and relevant workflows are studied in detail together with open industry standards, tools, and APIs, such as Python, Ansible, Git, JSON/YAML, NETCONF/RESTCONF, and YANG. The course qualifies for 24 Cisco Continuing Education credits (CE) towards recertification. This course will help you:Gain high-demand skills using modern programming languages, APIs, and systems such as Python, Ansible, and Git to automate, streamline, and enhance business operationsAcquire the skills and knowledge to customize tools, methods, and processes that improve network performance and agilityPrepare for the 300-435 ENAUTO exam Course Outline Network Programmability Foundation Automating APIs and Protocols Managing Configuration with Python and Ansible Implementing On-Box Programmability and Automation with Cisco IOS XE Software Implementing Model-Driven Telemetry Day 0 Provisioning with Cisco IOS-XE Software Implementing Automation in Enterprise Networks Building Cisco DNA Center Automation with Python Automating Operations using Cisco DNA Center Introducing Cisco SD-WAN Programmability Building Cisco SD-WAN Automation with Python Building Cisco SD-WAN Automation with Ansible Automating Cisco Meraki Implementing Meraki Integration APIs Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI) 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 Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI) 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 This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview Identify independent and dependent variables and measurement levels in their own analytical work scenarios. Identify variables of interest in relational database tables. Choose a data aggregation level and data set design appropriate for the intended analysis and tool. Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. Create stored procedures, views, and functions to modularize data retrieval code. This three-day instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis in other words, making meaning from the data rather than transaction-oriented data-tier application development. The course starts with a brief discussion of levels of measurement and quantitative research methodogy, and integrates these concepts into each TSQL topic presented. The goal is to provide a consistent, direct, and purposeful learning path from RDBMS data retrieval through analytical tools such as SQL Server Reporting Services, PowerBI, Excel, R, SAS, and SPSS. Module 1: Introduction to TSQL for Business Intelligence Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSSJOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNERJOIN Understanding Joins, Part 3: The OUTERJOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTERJOINs Combining JOIN Operations with WHERE and ORDER BY Module 4: Creating an Appropriate Aggregation Level Using GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Module 5: Subqueries, Derived Tables and Common Table Expressions Non-correlated and correlated subqueries Derived tables Common table expressions Module 6: Encapsulating Data Retrieval Logic Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Module 7: Getting Your Dataset to the Client Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Additional course details: Nexus Humans Writing Analytical Queries for Business Intelligence 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 Writing Analytical Queries for Business Intelligence 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 Incoming attendees are required to have current, hands-on experience in developing basic web applications. Student should have some experience with HTML and CSS and be well versed in JavaScript. Experience with coding for the server side would be helpful. Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Learn server-side JavaScript coding through Node.js Explore the latest JavaScript features, and ECMAScript modules Walk through different stages of developing robust applications using Node.js Install and use Node.js for development Use the Express application framework Work with REST service development using the Restify framework Use data storage engines such as MySQL, SQLITE3, and MongoDB Node.js is a server-side JavaScript platform using an event-driven, non-blocking I/O model allowing users to build fast and scalable data-intensive applications running in real time.This fast-paced hands-on course provides the core skills required to develop web applications with Node.js. You will progress from a rudimentary knowledge of JavaScript and server-side development to being able to create, maintain and test your own Node.js applications. You will explore the importance of transitioning to functions that return Promise objects, and the difference between fs, fs/promises and fs-extra, as well as how to use the HTTP Server and Client objects, and data storage with both SQL and MongoDB databases. Overview of Node.js The capabilities of Node.js Why should you use Node.js? The Node.js event-driven architecture Embracing advances in the JavaScript language Developing microservices or maxiservices with Node.js Setting Up Node.js System requirements Installing Node.js using package managers Installing from the source on POSIX-like systems Installing multiple Node.js instances with nvm Requirements for installing native code modules Choosing Node.js versions to use and the version policy Choosing editors and debuggers for Node.js Running and testing commands Advancing Node.js with ECMAScript 2015, 2016, 2017, and beyond Using Babel to use experimental JavaScript features Exploring Node.js Modules Defining a Node.js module Finding and loading modules using require and import Using npm ? the Node.js package management system The Yarn package management system HTTP Servers and Clients Sending and receiving events with EventEmitter Understanding HTTP server applications HTTP Sniffer ? listening to the HTTP conversation Web application frameworks Getting started with Express Creating an Express application to compute Fibonacci numbers Making HTTPClient requests Calling a REST backend service from an Express application Your First Express Application Exploring Promises and async functions in Express router functions Architecting an Express application in the MVC paradigm Creating the Notes application Theming your Express application Scaling up ? running multiple Notes instances Implementing the Mobile-First Paradigm Understanding the problem ? the Notes app isn't mobile friendly Learning the mobile-first paradigm theory Using Twitter Bootstrap on the Notes application Flexbox and CSS Grids Mobile-first design for the Notes application Using third-party custom Bootstrap themes Data Storage and Retrieval Remembering that data storage requires asynchronous code Logging and capturing uncaught errors Storing notes in a filesystem Storing notes with the LevelDB datastore Storing notes in SQL with SQLite3 Storing notes the ORM way with Sequelize Storing notes in MongoDB Additional course details: Nexus Humans Introduction to Node.js (TT4153) 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 Introduction to Node.js (TT4153) 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.

Get to grips with all the features of Teams, including calls and chats, Teams and Channels and Meetings Course overview Duration: 2 hours This session is aimed at those new or self-taught users of Teams to show them the features and how to setup and use it effectively. Objectives  By the end of the course you will be able to: Use the core functions of Microsoft Teams Set up Microsoft Teams Make Calls Send Chats to colleagues via teams Set up channels Run Teams meetings Content What is Teams Teams elements Setting up your Teams Setting up audio and video Using voicemail Setting voicemail language Calls and Chats Sending individual and group chats Making and receiving calls Missed call notification Searching Teams and Channels Creating channels Channel settings Setting channel notifications Emailing channels Creating private channels Posting to channels Alerting specific people in a channel Adding files to channels Sending links to channels Teams Meetings Setting up meetings Running meetings from channels Setting backgrounds Screen sharing in meetings Handing over control Creating meeting notes Adding files to teams or meetings Using the meeting chat

Getting Started The University of Lancashire offers a comprehensive Master of Laws (LLM) programme meticulously designed to provide a deep and specialised legal education. Renowned for its rigorous curriculum and distinguished faculty, this programme is the preferred choice for experienced professionals and aspiring lawyers seeking to enhance their expertise. Law is a fast-changing and increasingly complex area impacting most professional, commercial and regulatory work aspects. You also don't need a legal background to study the (LLM) Master of Laws. The programme is designed for professionals seeking to expand their knowledge and advance their careers. You'll critically evaluate areas of law and the way they operate in the domestic, European, and international contexts. Through your dissertation, you'll develop critical analytical and research skills that will serve you well in any legal setting. The extensive e-law library facility of UCLAN offers you access to many legal and academic sources from within and outside the jurisdiction, providing you with the resources you need to succeed in your studies. Additionally, you'll be able to enhance your employability skills by gaining additional qualifications in alternative dispute resolution, specifically international arbitration and mediation. With a graduation ceremony held on campus grounds, you'll have the opportunity to celebrate your achievements with your peers, professors, and family members. Don't miss out on this exciting opportunity to take your legal career to the next level. The programme comprises two phases; the first is the Level 7 Diploma in International Business Law, awarded by Qualifi and delivered by the School of Business and Technology London. The second phase is the Master of Laws (LLM) Top-Up, awarded and delivered by the University of Central Lancashire through distance learning. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Founded in 1828, the University of Central Lancashire is a public university based in Preston, Lancashire, England. Today, UCLAN is one of the largest in the United Kingdom, with a student and staff community of nearly 38,000. At present, the University has academic partners in all regions of the globe, and it is on a world stage that the first-class quality of its education was first recognised. In 2010, UCLAN became the first UK modern Higher Education institution to appear in the QS World University Rankings. In 2018, the Centre for World University Rankings estimated Central Lancashire to be in the top 3.7 per cent of all global universities, highlighting the growth the University has made in offering students real-world learning experiences and reflecting the University's extensive pool of academic talent. Ranked in the top 7% of universities worldwide. Student Communities from more than 100 countries WES Recognised Qualifi is a UK Government (Ofqual.gov.uk) regulated awarding organisation and has developed a reputation for supporting relevant skills in a range of job roles and industries, including Leadership, Enterprise and Management, Hospitality and catering, Health and Social Care, Business Process Outsourcing and Public Services. Qualifi is also a signatory to BIS international commitments of quality. The following are the key facts about Qualifi. Regulated by Ofqual.gov.uk World Education Services (WES) Recognised Assessment Assignments and Project No examinations Entry Requirements Aspiring candidates who do not fulfil the above criterion but have sufficient managerial experience can undergo evaluation for an Advanced Entry. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure Phase 1 - QUALIFI Level 7 Diploma in International Business Law Programme Structure The QUALIFI Level 7 Diploma in International Business Law is made up of 120 credits, which equates to 1200 hours of TQT. Mandatory Units International Trade Law Unit Reference K/617/4822 TQT : 200 Credits : 20 In this unit, learners will be able to understand international sales transactions, environmental analysis while doing international trade, legal issues and financial forecasting processes. Commercial Trust Law Unit Reference M/617/4823 TQT : 200 Credits : 20 This unit explores the law of trusts internationally, comparing doctrine in different jurisdictions and exploring the theoretical implications of such differences. Industrial and Intellectual Property Law Unit Reference T/617/4824 TQT : 200 Credits : 20 This unit aims to introduce learners to knowledge, ability and critical understanding of regulatory and legislative requirements relating to industrial and Intellectual property laws. Law of Financial Crimes Unit Reference T/617/4824 TQT : 200 Credits : 20 Learners will be introduced to current debates, theories and legal practices in the law of financial crimes, such as statutory framework in the financial services regulations and capital market, fraud and theft act, and criminal law regulations. Company Law Unit Reference F/617/4826 TQT : 200 Credits : 20 This unit aims to inform learners about the English Law of registered companies, including private and public limited companies. Legal Research and Research Methods Unit Reference J/617/4827 TQT :100 Credits :10 Learners can cover key topics relating to research problems, conducting literature reviews, referencing, data collection and analysis techniques, and drawing conclusions from the analysed data. Optional Units Corporate Governance - Principles and Practices Unit Reference L/617/4828 TQT :100 Credits :10 This unit aims to develop learners' understanding, knowledge, and skills relating to the governing body's role, principles of corporate governance, various models and theories affecting corporate governance development, management functions, and development of governance codes, regulations and benefits of good governance. International Commercial Arbitration Unit Reference L/650/7069 TQT : 100 Credits :10 This unit aims for learners to explore the regulatory role of arbitration as a method of supra-national dispute resolution using comparative perspectives to explain contrasting regulation methods.   Phase 2 - Master of Laws (LLM) Top-Up Programme Structure Dissertation Module Delivery Methods The programme comprises two phases; the first is the Level 7 Postgraduate Diploma in Law awarded by Qualifi and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The programme is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the Master of Laws (LLM) Top-Up, awarded and delivered by the University of Central Lancashire through distance learning. The University of Central Lancashire (UCLan) offers a range of distance learning options for students who require the flexibility to study remotely. These options include online courses, blended learning, and supported distance learning. UCLan's distance learning courses are designed to provide students with the same high-quality education as on-campus courses, with access to resources such as video lectures, online discussion forums, and interactive assessments. The University also provides a range of support services for distance learning students, including academic support, technical support, and access to the University's library and online resources. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Master Yourself in Talking with Strangers Course Overview This course, Master Yourself in Talking with Strangers, is designed to empower learners with essential communication skills to confidently initiate and sustain conversations with unfamiliar people. It explores effective techniques to overcome social anxiety, build rapport quickly, and engage meaningfully in diverse social settings. Through structured guidance, learners will develop greater self-awareness and adaptability in interactions, enhancing their personal and professional relationships. By the end of the course, participants will be equipped with the tools to initiate conversations naturally, listen actively, and respond with confidence, making social interactions more rewarding and less daunting. Course Description Master Yourself in Talking with Strangers offers an in-depth exploration of the skills necessary to communicate effectively with new acquaintances. Topics include understanding body language, mastering conversation openers, managing nervousness, and cultivating empathy. Learners will engage with practical strategies for navigating different social contexts and recognising cues that facilitate connection. This course provides a supportive learning environment aimed at increasing social confidence and emotional intelligence. By completing this programme, participants will enhance their interpersonal skills, enabling smoother introductions, more engaging dialogues, and the ability to foster new relationships in both personal and professional spheres. Master Yourself in Talking with Strangers Curriculum Module 01: Course Overview Module 02: The Formula Module 03: Summary Module 04: End (See full curriculum) Who Is This Course For? Individuals seeking to improve their confidence in social interactions. Professionals aiming to enhance networking and communication skills. Beginners with an interest in developing interpersonal abilities. Anyone looking to overcome social anxiety and connect more easily with others. Career Path Customer Service Representative Sales and Marketing Executive Networking and Business Development Specialist Public Relations Officer Community Engagement Coordinator

Vocal Disorders Course Overview This course provides a comprehensive exploration of vocal disorders, examining the physiological processes of voice production, the causes of voice disorders, and therapeutic interventions. Learners will gain insights into functional voice disorders and the principles behind effective diagnosis and management. The course is designed to equip participants with a thorough understanding of vocal health, offering valuable knowledge for anyone interested in the study and treatment of voice disorders. Upon completion, learners will be able to identify the underlying causes of voice issues and understand the therapeutic approaches to managing them. Course Description The "Vocal Disorders" course delves deeply into the mechanics of voice production, helping learners understand how the human voice functions and the factors that lead to voice disorders. Topics include the identification of causes, such as physical or psychological factors, and the exploration of functional disorders, such as hoarseness and vocal fatigue. Learners will examine various treatment options, focusing on voice therapy techniques and diagnostic principles. This course also provides a thorough grounding in the clinical aspects of vocal health, preparing learners to address and manage voice-related issues effectively. By the end of the course, participants will have developed a nuanced understanding of vocal disorders, their treatment, and management. Vocal Disorders Curriculum Module 01: Physiology of Voice Production Module 02: Causes of Voice Disorder Module 03: Functional Voice Disorders Module 04: Voice Therapy Module 05: Principles of Diagnosis and Management (See full curriculum) Who is this course for? Individuals seeking to understand vocal health and disorders Professionals aiming to specialise in speech therapy or vocal care Beginners with an interest in the science of voice and vocal disorders Anyone looking to develop expertise in the diagnosis and management of voice disorders Career Path Speech and language therapist Voice coach Otolaryngologist Vocal health specialist Speech pathology consultant

Basic Business Communication Skills Course Overview This course on Basic Business Communication Skills is designed to equip learners with essential communication techniques for effective interaction in the business world. Covering key areas such as written communication, verbal communication, and non-verbal cues, it ensures that learners understand the importance of clarity, tone, and professionalism in business settings. By the end of the course, participants will be able to communicate more confidently and effectively with colleagues, clients, and stakeholders, enhancing their overall career prospects. Course Description The Basic Business Communication Skills course delves deeper into the foundations of business communication, focusing on email etiquette, telephone communication, meetings, and presentations. Learners will explore various communication channels and how to adapt their style for different audiences, whether in a formal or informal setting. By engaging with practical examples and scenarios, learners will develop the ability to express ideas clearly and professionally, strengthen relationships, and improve team dynamics. This course is invaluable for anyone looking to improve their ability to communicate effectively in a professional environment. Basic Business Communication Skills Curriculum: Module 01: Introduction to Business Communication Module 02: Effective Written Communication Module 03: Telephone and Digital Communication Etiquette Module 04: Non-Verbal Communication and Body Language Module 05: Communicating in Meetings and Presentations Module 06: Communicating Across Cultures Module 07: Conflict Resolution and Difficult Conversations (See full curriculum) Who is this course for? Individuals seeking to enhance their communication skills in the workplace. Professionals aiming to improve their career prospects through stronger communication. Beginners with an interest in business communication. Those looking to refine their interpersonal communication abilities. Career Path Office Administrator Customer Service Representative HR Assistant Project Coordinator Marketing Specialist Sales Executive

Duration 3 Days 18 CPD hours This course is intended for This course is intended for intermediate to advanced Business Analysts who are looking to improve their skills for eliciting, analyzing, documenting, validating, and communicating requirements. Overview Obtain a thorough understanding of the core responsibilities of the business analyst Understand the main professional associations and standards supporting business analysts in the industry Discuss and explore the components of each of the domains/knowledge areas that comprise the work of business analysis Recognize the importance of properly defining the business need prior to engaging in requirements activities Formulate a strong understanding of the concepts that comprise strategy analysis Obtain experience with identifying and analyzing stakeholders Decipher between project and product scope and successfully use models to communicate scope Thoroughly understand and identify the various requirements categories and be able to recognize requirements of various types Explore business rules analysis Understand the benefits of process modeling and the common modeling language of BPMN Discuss process models and how the techniques can capture details about the as-is/to-be environment Learn how to properly prepare and conduct interviews Explore the components of use cases Learn what it means to package requirements Obtain hands-on experience with a number of business analysis techniques and gain hands-on experience eliciting, defining, and writing requirements. This course provides students a clear understanding of all the facets of the business analysis role, including a thorough walkthrough of the various domain/knowledge areas that comprise the business analysis profession. Students are provided an opportunity to try their hand at several business analysis techniques to assist with improving their skills in stakeholder identification, scope definition, and analyzing, documenting, and modeling requirements. Introduction to Business Analysis What is business analysis Benefits and challenges of business analysis Project success factors A Closer Look at the Business Analyst Role Definition of a business analyst Responsibilities of a business analyst Importance of communication/collaboration BA role vs. PM role Project roles involved in requirements IIBA/PMI and the goals of a professional association Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis beyond project work Business analysis core concepts Business analysis perspectives IIBA and PMI certifications for business analysts Workshop: Choose Your Project Supporting the Project Portfolio (Enterprise Analysis) Define Strategy Analysis When to perform Strategy Analysis Components of Strategy Analysis Defining the business need Envisioning the Product and Project Defining business requirements The importance of stakeholders Stakeholder identification Tips for analyzing stakeholders Techniques for managing stakeholder lists Discussion: Who is involved in strategy analysis? Workshops: Define the Business Need, Write Business Requirements, and Identify Stakeholders Understanding and Defining Solution Scope Defining solution scope Techniques for defining solution scope Applying the brainstorming technique Project scope vs. Product scope Finding solution boundaries The Context Diagram Actors and key information Workshop: Draw a Context Diagram Understanding Requirements What is a requirement? Requirement types Business, Stakeholder, Solution, and Transition requirements Assumptions and constraints Business rules Taxonomy of business rules Decision tables How to write simple calculations Requirements vs. business rules Document requirements Workshop ? Document Requirements Elicitation and Process Modeling Why do we model processes? What is Business Process Management? Using a modeling notation ?As Is? vs. ?To Be? modeling Why use BPMN? Basic BPM notation Business Process Modeling ? A case study Business Process Realignment ?As Is? vs. ?To Be? activity diagrams Workshop: Create a Business Process Model Planning & Eliciting Requirements Interviewing ? what and why? Preparing for an effective interview Types of questions to ask Sequencing questions Active listening techniques Planning for elicitation Conducting the interview Establishing rapport Active Listening Feedback techniques Types of elicitation techniques Workshops: Planning for Elicitation and Conducting an Elicitation Session Use Case & User Story Analysis What is an Actor? Types of Actors How to ?find? Use Cases? Diagramming Use Cases Tips on naming Use Cases Explaining scenarios The use case template Components of a use case Scenario examples Best practices for writing Use Cases Scenarios and flows Alternate and exception flows Exercises: Drawing a Use Case Diagram, Writing the Main Success Scenario, and Writing Alternate and Exception Scenarios Analyzing & Documenting Requirements Requirements and Use Cases Non-Functional requirements User Interface Requirements UI Data Table Reporting requirements Data requirements Data accessibility requirements Characteristics of good requirements The business requirements document (BRD) BRD vs. Functional Requirements Specification Preparing the requirements package Requirements traceability Workshops: Develop a User Interface, Analyzing Requirements, and Tracing requirements Additional Resources Useful books and links on writing effective requirements

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.