37377 Courses delivered Online

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

Customers are astute and well-practised in researching and seeking information, solutions and added value in the minimum number of clicks online. There's only so much time they're willing to spend carrying on clicking. This mentality isn't just restricted to the world of B2C. In our increasingly hectic world, where information is expected to be available instantly, it applies just as much to B2B. In this workshop, we look at how putting yourself in the shoes of your customer and mapping their decision-making and buying journey is critical to ensuring that you provide what they perceive as fast solutions and added value. You will learn all about the three pillars for creating competitive brand experiences: Customer engagement planning puts you firmly in the shoes of your customer, helping you to build meaningful marketing communications delivered through the right resources at the right time to inspire your customers to engage with you. This programme will help participants to: Understand the evolution of the customer buying journey Map a customer buying journey for your brand or solutions Understand the customer micro-moments and signals indicating interest and buying intent, both online and offline Apply the psychology of branding to build marketing communications with impact Develop sales and marketing content that differentiates your brand(s) from the competition by demonstrating unique value and how you can meet your customer's needs 1 The evolution of the customer journey Understand how the use of mobile has had an impact on the customer buying journey where today's customers can research and compare products and solutions whenever and wherever they like, making the purchase journey even less linear Explore how marketers are adapting to this new customer behaviour and drawing upon various strategies to win the hearts and minds of their audiences 2 The See-Think-Do-Care framework Explore the many different frameworks used to track the customer journey Understand and apply the modern marketing model, where the internet has enabled the customer to hop between multiple touchpoints before making a purchase decision 3 Customer micro-moments and signals in their buying journey Understand the online and offline moments when customers seek information to research and make buying decisions Apply this understanding to build a marketing communication plan to reach customers at all stages of their buying journey 4 The role of branding in the customer journey Explore the psychology of branding Learn how to ensure your branding is relevant to your target customer needs Bring together your brand value and story to achieve brand loyalty 5 The Why-How-What framework Apply a systematic approach to build a successful and compelling brand Understand how starting with 'why' will help build your brand purpose Apply the content marketing matrix to communicate your brand's value Apply the hero-help-hub model to build engaging content marketing Actionable outcomes We will use your brand examples to provide opportunities for practice: You will learn and reflect on best practice examples of customer engagement You will discover your brand value, purpose and the 'sweet spot' to drive engagement with your customers You will create a customer engagement plan that can be implemented immediately within your business You will receive immediate feedback on your customer engagement plan You will have the opportunity to share common issues and solutions with your colleagues in the group

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Financial reporting best practices involve adherence to accounting principles, regulatory requirements, and industry standards. CFOs should stay informed about evolving accounting standards and regulatory changes. Regularly review updates from regulatory bodies such as the Financial Reporting Council (FRC) and International Financial Reporting Standards (IFRS) to ensure compliance. Engage with industry associations and professional networks to stay abreast of best practices and emerging trends in financial reporting. By actively staying informed, CFOs can adapt their processes and policies to meet changing requirements. Regulatory compliance is a key aspect of financial reporting. How do CFOs navigate the landscape of regulatory requirements and ensure compliance within their organisations? Navigating the regulatory landscape requires a proactive and diligent approach. CFOs must develop a deep understanding of the relevant regulations, such as the Companies Act, UK GAAP, or IFRS, depending on the reporting framework. They collaborate with legal teams and auditors to interpret and apply the regulations correctly. Implementing strong internal controls, conducting regular compliance assessments, and engaging in external audits are essential steps to ensure compliance and mitigate potential risks. Compliance is an ongoing process. CFOs should establish a culture of compliance throughout the organization, emphasizing the importance of ethical practices, accuracy, and transparency in financial reporting. Training programs, internal communication, and regular compliance reviews help foster a compliance-conscious culture. By creating a framework that promotes adherence to regulations, CFOs establish a solid foundation for accurate and reliable financial reporting. https://www.fdcapital.co.uk/podcast/the-intricacies-of-financial-reporting-and-compliance-in-the-uk/ Tags Online Events Things To Do Online Online Seminars Online Business Seminars #financial #compliance #reporting #uk #intricacies

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators Overview By the end of the course, you should be able to meet the following objectives: Define information-security-related concepts Explain the different types of firewalls and their use cases Describe the operation of intrusion detection and intrusion prevention systems Differentiate between Malware Prevention approaches Describe the VMware intrinsic security portfolio Implement Zero-Trust Security using VMware NSX segmentation Configure user and role management Configure and troubleshoot Distributed Firewall, Identity Firewall, and time-based policies Configure and troubleshoot Gateway Security Use VMware vRealize Log Insight™ for NSX™ and VMware vRealize Network Insight™ to operate NSX firewalls Explain the security best practices related to grouping, tagging, and rule configuration Describe north-south and east-west service insertion Describe endpoint protection Configure and troubleshoot IDS/IPS Deploy NSX Application Platform Configure and troubleshoot NSX Malware Prevention Describe the capabilities of NSX Intelligence and NSX Network Detection and Response This five-day, hands-on training course provides you with the knowledge, skills, and tools to achieve competency in configuring, operating, and troubleshooting VMware NSX-T? Data Center for intrinsic security. In this course, you are introduced to all the security features in NSX-T Data Center, including Distributed Firewall and Gateway Firewall, Intrusion Detection and Prevention (IDS/IPS), NSX Application Platform, NSX Malware Prevention, VMware NSX© Intelligence?, and VMware NSX© Network Detection and Response?.In addition, you are presented with common configuration issues and given a methodology to resolve them. Course Introduction Introductions and course logistics Course objectives Security Basics Define information-security-related concepts Explain the different types of firewalls and their use cases Describe the operation of IDS/IPS Differentiate between Malware Prevention approaches VMware Intrinsic Security Define the VMware intrinsic security strategy Describe the VMware intrinsic security portfolio Explain how NSX-T Data Center aligns with the intrinsic security strategy Implementing Zero-Trust Security Define Zero-Trust Security Describe the five pillars of a Zero-Trust Architecture Define NSX segmentation and its use cases Describe the steps needed to enforce Zero-Trust with NSX segmentation User and Role Management Integrate NSX-T Data Center and VMware Identity Manager? Integrate NSX-T Data Center and LDAP Describe the native users and roles in NSX-T Data Center Create and assign custom user roles Distributed Firewall Configure Distributed Firewall rules and policies Describe the NSX Distributed Firewall architecture Troubleshoot common problems related to NSX Distributed Firewall Configure time-based policies Configure Identity Firewall rules Gateway Security Configure Gateway Firewall rules and policies Describe the architecture of the Gateway Firewall Identify and troubleshoot common Gateway Firewall issues Configure TLS Inspection to decrypt traffic for both internal and external services Configure URL filtering and identify common configuration issues Operating Internal Firewalls Use vRealize Log Insight for NSX and vRealize Network Insight to operate NSX firewalls Explain security best practices related to grouping, tagging, and rule configuration Network Introspection Explain network introspection Describe the architecture and workflows of north-south and east-west service insertion Troubleshoot north-south and east-west service insertion Endpoint Protection Explain endpoint protection Describe the architecture and workflows of endpoint protection Troubleshoot endpoint protection Intrusion Detection and Prevention Describe the MITRE ATT&CK framework Explain the different phases of a cyber attack Describe how NSX security solutions can be used to protect against cyber attacks Configure and troubleshoot Distributed IDS/IPS Configure and troubleshoot North-South IDS/IPS NSX Application Platform Describe NSX Application Platform and its use cases Identify the topologies supported for the deployment of NSX Application Platform Deploy NSX Application Platform Explain the NSX Application Platform architecture and services Validate the NSX Application Platform deployment and troubleshoot common issues NSX Malware Prevention Identify use cases for NSX Malware Prevention Identify the components in the NSX Malware Prevention architecture Describe the NSX Malware Prevention packet flows for known and unknown files Configure NSX Malware Prevention for east-west and north-south traffic NSX Intelligence and NSX Network Detection and Response Describe NSX Intelligence and its use cases Explain NSX Intelligence visualization, recommendation, and network traffic analysis capabilities Describe NSX Network Detection and Response and its use cases Explain the architecture of NSX Network Detection and Response in NSX-T Data Center Describe the visualization capabilities of NSX Network Detection and Response

Duration 3 Days 18 CPD hours This course is intended for This is an introductory- level course appropriate for those who are developing applications using relational databases, or who are using SQL to extract and analyze data from databases and need to use the full power of SQL queries. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner, attendees will learn to: Maximize the potential of SQL to build powerful, complex and robust SQL queries Query multiple tables with inner joins, outer joins and self joins Construct recursive common table expressions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries Thoroughly test SQL queries to avoid common errors Select the most efficient solution to complex SQL problems A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. SQL is the cornerstone of all relational database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation. Introduction: Quick Tools Review Introduction to SQL and its development environments Using SQL*PLUS Using SQL Developer Using the SQL SELECT Statement Capabilities of the SELECT statement Arithmetic expressions and NULL values in the SELECT statement Column aliases Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword Use of the DESCRIBE command Restricting and Sorting Data Limiting the Rows Rules of precedence for operators in an expression Substitution Variables Using the DEFINE and VERIFY command Single-Row Functions Describe the differences between single row and multiple row functions Manipulate strings with character function in the SELECT and WHERE clauses Manipulate numbers with the ROUND, TRUNC and MOD functions Perform arithmetic with date data Manipulate dates with the date functions Conversion Functions and Expressions Describe implicit and explicit data type conversion Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Apply the NVL, NULLIF, and COALESCE functions to data Decode/Case Statements Using the Group Functions and Aggregated Data Group Functions Creating Groups of Data Having Clause Cube/Rollup Clause SQL Joins and Join Types Introduction to JOINS Types of Joins Natural join Self-join Non equijoins OUTER join Using Subqueries Introduction to Subqueries Single Row Subqueries Multiple Row Subqueries Using the SET Operators Set Operators UNION and UNION ALL operator INTERSECT operator MINUS operator Matching the SELECT statements Using Data Manipulation Language (DML) statements Data Manipulation Language Database Transactions Insert Update Delete Merge Using Data Definition Language (DDL) Data Definition Language Create Alter Drop Data Dictionary Views Introduction to Data Dictionary Describe the Data Dictionary Structure Using the Data Dictionary views Querying the Data Dictionary Views Dynamic Performance Views Creating Sequences, Synonyms, Indexes Creating sequences Creating synonyms Creating indexes Index Types Creating Views Creating Views Altering Views Replacing Views Managing Schema Objects Managing constraints Creating and using temporary tables Creating and using external tables Retrieving Data Using Subqueries Retrieving Data by Using a Subquery as Source Working with Multiple-Column subqueries Correlated Subqueries Non-Correlated Subqueries Using Subqueries to Manipulate Data Using the Check Option Subqueries in Updates and Deletes In-line Views Data Control Language (DCL) System privileges Creating a role Object privileges Revoking object privileges Manipulating Data Overview of the Explicit Default Feature Using multitable INSERTs Using the MERGE statement Tracking Changes in Data

This programme provides an intensive, two-day overview of the key elements of operations management, including an array of practical tips and tools to help managers be more proactive and effective in the operations management environment - whether that's in an industrial manufacturing context or in operational leadership in the service sectors. At the end of the programme, participants will: Understand the 6Cs approach to operations management Be able to apply a range of practical tools and techniques to improve their personal effectiveness towards being a more effective operations manager Be able to prepare an action plan for the critical first (or next) 100 days in their operational leadership role 1 Introduction What is Operations Management and where does it fit in? What makes a successful Operations Manager? Introducing the 6Cs of Operations Management 2 Context Link to business strategy Making a year plan Performance measurement 3 Controls Governance Reputational controls Costs and budgets Quality Operational 4 Customers Internal External Stakeholder management 5 Communication Planning Meetings Reporting Emails Notices Networking Walking the talk 6 Care People Safety, Health, Environment & Security Assets 7 Continuous improvement Process Product Proactivity Link to KPIs and Year Plan 8 Putting it all together Action planning for the first (or next) 100 days Conclusions

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I cover a range of subjects, including mathematics, English and science, as well as targeted preparation for entrance exams such as the 11 plus, ISEB, and more. Additionally, I provide focused support for verbal reasoning and non-verbal reasoning assessments. Importantly, all tuition is bespoke, tailored to your child's unique learning needs and requirements. My goal is to offer comprehensive assistance tailored to the primary education curriculum and specific entrance requirements. I also support children in their transition to secondary school through secondary private tuition and GCSE private tuition in certain subjects. I can always recommend excellent private tutors if I am not able to support a particular subject, so get in touch!

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples