723 Software Development courses in Caterham delivered Live Online

This highly interactive program focuses on building the business focus on value to be achieved from initiatives. The practices in this program apply equally to projects and programs. Participants will gain insight into the capabilities needed to develop the culture, processes, and tools behind validation, what true initiatives' success looks like, which can be closely linked to achieving value. They will learn and experiment with a variety of value definition and management techniques. Working in small groups, they will collaborate with others to brainstorm, share experiences, and apply concepts to the ongoing value confirmation goal. Participants will also discover the importance of designing metrics around value and addressing blind spots that could happen when the focus is on the wrong metrics and how that could lead to the wrong behaviors being practiced. Participants will also gain insights into key skills for leading and working in the future. Hands-on experimentation activities enhance the theoretical learning, grounding it in real life and giving opportunities to practice creativity in capturing value.

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.

Assuring Quality Through Acceptance Testing: In-House Training It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. It is the business analyst's job to define the business problem to be solved by IT. It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. The business analyst is not only concerned with the testing itself, but also with the management and monitoring of the users doing the acceptance testing, and recording, analyzing, and evaluating the results. What you will Learn Upon completion, participants will be able to: Create a set of acceptance test cases Manage and monitor an acceptance test stage where users perform the testing Work with the development team in the systems testing stage Assess the solution once it is in the business environment Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide BA roles and relationships through the project life cycle Introduction to assuring software quality through acceptance testing The Scope of IT Testing Overview of testing stages The testing process Testing documentation Pre-Acceptance Testing The BA's role in testing Early development testing stages (unit and integration) Late development testing stage (system) The Acceptance Test Stage - Part I (Planning, Design, and Development) Overview of user acceptance testing Acceptance test planning Designing user acceptance tests Developing individual user acceptance test cases Building effective user acceptance test scenarios The Acceptance Test Stage - Part II (Execution and Reporting) Operating guidelines Execution Reporting Post-Acceptance Testing Overview Project implementation Project transition (project closure) Production through retirement Testing Commercial Off-the-Shelf (COTS) Software Overview Selecting the software Implementing the software Summary What did we learn and how can we implement this in our work environments?

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Executive AI Coaching: Boost Your Leadership with Generative AI Unlock the power of AI for your business with personalised executive coaching. Paul Addicott-Evans, founder of AECS, offers bespoke 1-on-1 sessions to transform leaders into AI champions. Enhance productivity, drive innovation, and stay ahead in the AI revolution. 20+ years of tech and business expertise. Tailored for C-suite, senior leaders, and entrepreneurs. Elevate your leadership—master generative AI today!

Learn how to work with data using Python (the coding language) as a tool. Learn how data is structured and how to manipulate it into a usable, clean form ready for analysis. Work on a small real-life project from conception to solution, in a team or on your own.

Live online course with study materials and certificate of completion included This beginner's WordPress course will enable you to create your own website using the world's favourite content management system. The user friendly web based software enables you to quickly and easily get your website up and running. This one day course will teach you how to write, edit and manage your WordPress site and also to use image, audio and video content. Whether you are seeking to learn WordPress for your own personal posts or for business and marketing purposes this course will get you up and running right away. Resources Introduction to WordPress Description Completing this course will enable you to do the following and more: Become familiar with the WordPress CMS Install and configure WordPress Manage WordPress themes Understand the WP interface and the dashboard Add users and assigning different user roles Set-up reading options Create, add, update and assign menus Understand Posts and Pages Edit and format content Use the Gutenberg block editor Create and manage your homepage Carry out customisations Understand SEO optimisation For the full course content please download the course information pdf listed above. Who is this course for? This workshop is suitable for anyone with basic PC or Mac skills who wishes to learn how to create and manage websites with WordPress. No previous knowledge or experience of WordPress is necessary. Requirements Attendees should have basic PC or Mac skills. You will need a broadband internet connection to participate in this live online course. Certificates Certificate of completion Digital certificate - Included

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Leader course are professionals including: Anyone starting or leading a DevOps cultural transformation program, Anyone interested in modern IT leadership and organizational change approaches, Business Managers, Business Stakeholders, Change Agents, Consultants, DevOps Consultants, DevOps Engineers, IT Directors, IT Managers, IT Team, Leaders, Lean Coaches, Practitioners, Product Owners, Scrum Masters, System Integrators, Tool Providers Overview The learning objectives for DOL include a practical understanding of: - DevOps and time to market - The business and IT perspectives - Key differences between DevOps IT and traditional IT - Planning and organizing - Understanding performance and culture - Measurement differences - Designing a DevOps organization - Focusing on what matters - Ideas for organizing workflows - Sharing information - Defining meaningful metrics - Value stream mapping - The Spotify Squad model - Managing culture change - Popular tools and key practices - Putting it all together The DevOps Leader course is a unique and practical experience for participants who want to take a transformational leadership approach and make an impact within their organization by implementing DevOps. Leading people through a cultural transformation requires new skills, innovative thinking, and transformational leadership. Leaders up, down and across the IT organization must align and collaborate to break down silos and evolve the organization. The course highlights the human dynamics of cultural change and equips participants with practices, methods, and tools to engage people across the DevOps spectrum through the use of real-life scenarios and case studies. Upon completion of the course, participants will have tangible takeaways to leverage when back in the office such as understanding Value Stream Mapping. Prerequisites DevOps Foundation 1 - DevOps and Time What Is DevOps? Why Do DevOps Companies Doing DevOps The Magic Equation 2 - Key Differences Between DevOps IT and Traditional IT What Sets DevOps IT apart from Traditional IT How DevOps IT is Organized Differently How to Perform to a Different Standard How to Use Different Measurements 3 - Becoming a DevOps organization Transformational Leadership Redesigning An Organization for DevOps Design Principles Focus Work Information Metrics 4 - Value Stream Mapping What is Value Stream Mapping? Why Do We Need to Use this Framework? Types of Maps How to Create a Value Stream Map? Types of Data to Collect How to Handle Exceptions 5 - Value Stream Mapping Exercise 6 - Squad Organizational Model Conway's Law The Problem with Silos Spotify?s Squad Organization Model (Structure, Roles) Squads Tribes Chapters Guilds How to Reorganize in Order to Move to this Model 7 - Managing Culture Change What is Culture and How Does it Impact Performance? Types of IT Culture Cultural Traits of a DevOps Organization How to Manage Change 8 - Culture and its Impact on Performance Types of IT Culture What is a DevOps Culture How To Manage Change The Three Phases Of Change Types of Changes That Need to be Implemented 9 - Popular DevOps Tools and Practices DevOps Tools Periodic Table Top DevOps Tool Categories Common and Popular Practices 10 - Building a Business Case 11 - Bringing it all Together 12 - Additional Sources of Information 13 - Exam Preparations Exam Requirements, Question Weighting, and Terminology List Sample Exam Review Additional course details: Nexus Humans DevOps Leader (DevOps Institute) 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 DevOps Leader (DevOps Institute) 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.

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This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds