7122 Mind courses

The course will provide a comprehensive overview of Consul and its capabilities, including deploying a single data center, registering services using service discovery, and accessing Consul Key/Value (KV). It is designed for individuals who possess basic terminal skills and have an understanding of application and data center/cloud networking architectures for running applications.

Scrum Master and Product Owner Workshop: Virtual In-House Training This workshop builds on the specific roles and responsibilities of the Product Owner and Scrum Master in a Scrum environment, and how they need to work together as part of the Scrum methodology. During these sessions, you will explore who does what before, during, and after the Scrum Sprint cycles, as well as how to make the process work best in your specific Agile environment. You will come away from this workshop with a much deeper understanding of the roles and responsibilities so that individual performance improves on the job. Improved target results include providing focused leadership, making effective decisions, guiding Agile teams, and delivering business value. Foundation Concepts Agile History, Values, and Mindset Introduction to Scrum Scrum Events Scrum Artifacts Scrum Roles and Responsibilities Scrum Roles Product Owner Responsibilities Scrum Master Responsibilities The Scrum Team Responsibilities Cross-functional Teams Product Ownership Product Ownership Vision Understand Your Customers and Market Stakeholder Management and Engagement Product Backlog What is a User Story? Epics and User Stories Acceptance Criteria Preparing User Stories for a Sprint Definition of Ready (DoR) and Definition of Done (DoD) User Story Estimation Using Planning Poker Backlog Grooming Roadmaps, Story Maps, Impact Mapping Product Backlog Prioritization, MoSCoW, Kano Analysis Technical Debt The Sprint Team Capacity and Velocity Planning Sprint Planning Meeting and Sprint Plan The Sprint: Learning to Become Self-managing, Self-organizing, Self-improving Sprint Review Meeting Retrospectives Project Progress and Completion The Daily Scrum The Task Board and The Burndown Chart Information Radiators Closing a Scrum Project Summary and Next Steps Review of course goals, objectives, and content

Digital Mindset in Financial Organizations: On-Demand This seminar presents the challenges, benefits, and pitfalls of digital transformation forfend tech companies, wealth management, and relationship management. We will also take a quick look into the future that digital transformation can bring to financial organizations. What You Will Learn At the end of this program, you will be able to: Understand the impact that digital is making on the economy and on customer expectations in the financial services marketplace Assess the nature and drivers of the digital transformation Understand digital change and definition of transformation and the challenge of digitalization on new banking business models, bundling and unbundling services, and disruptive financial technologies Evaluate digital transformation successes and failures in the financial services world Understand how digitalization affects high net worth clients, their access, loyalty, and use of digitalization in their banking and investments Develop an awareness of technology change and trends in banking and financial technology to meet the challenges of customer service and financial technology in the future Getting Started Foundation Concepts: Digital Transformation What is "New" about Digitalization? Driving Forces Digital Transformation Successes Digital Transformation and the High-Value Client Digital Wealth Management Omnichannel Concept Pathway to Digital Wealth Data Transformation Digital Technologies and Relationship Management Relationship Management The Evolution of Touch Points The human factor in Digital Transformations Financial Technology Trends Big Data and Analytics Other Major Trends Preview of Coming Attractions

Build a rewarding career in content design Build a rewarding career in content design with a globally recognised, industry-approved qualification. Get the mindset, the confidence and the skills that will help you stand out in a rapidly growing industry. Why take this course: Be in demand. Certified qualifications will help you stand out in a fast-growing industry Build a career with impact. Design content experiences that will influence users worldwide Broaden your opportunities. Optimise your skills to get hired at leading companies Get qualified. Earn a university credit-rated certification approved by industry leaders Gain the confidence you need to succeed. Our mentors, career advisors and student community will support you all the way University credit-rated, industry-approved Our content design course is credit-rated by Glasgow Caledonian University and has been reviewed and endorsed by leaders in the tech industry. It covers everything you need to become a certified content design professional. Study method Online, self-paced Duration 10 weeks Access to content 12 months Qualification Professional Certificate in Content Design Awarded by Scottish Qualifications Authority trading as SQA Additional info Exam(s) / assessment(s) is included in price Tutor is available to students Description In this Professional Certificate in Content Design course you will learn: An introduction to content design. Understand what content design is and the role of a content designer. Principles of good content design Learn the core principles of content design and why it matters. Voice, tone and style Learn how voice, tone, and style can create a cohesive product experience. Understanding your users Uncover your audience's goals and content needs. Writing for interfaces Learn to write microcopy for buttons, notifications and other UI elements. The product mindset Develop a product mindset by learning about product design systems and tools. Testing content Learn how to test, evaluate and improve your content. AI for content design Learn how to use AI tools to become a more effective content designer. Working in content design Learn how to be the content champion within your organisation. Support at every step From day one, you’ll be part of a lively community of tutors, mentors and fellow students that support each other along the way. Student Success team Our friendly and responsive team will help you stay on track and keep you accountable. Course mentor Your course mentor is an expert content designer who brings years of practical insight. Student community Collaborate, share tips and build connections on our lively student Slack channels. Who is this course for? Writers and journalists who want to enhance their skills for the digital world UX and UI designers who want to become more rounded professionals Content designers looking for a formal qualification that validates their expertise Digital marketers who need content design skills to succeed in their roles Anybody with a writing, content or design background looking for a creative tech job Requirements Background You don’t need experience in design or technology to enrol in our courses. To get the most value from this course, you will need some experience in writing and a genuine interest in words and language. Commitment You do need to be motivated and committed. We set a high bar. Studying for one of our professional qualifications requires a certain amount of time, energy and focus. English language To take this course, you should be fluent in verbal and written English. If English is not your first language, you should have a proficiency of C1 as defined by the CEFRL (Common European Framework of Reference for Languages).

This case study is on a 2019 school history tour to the USA, which sadly ended in tragedy. This case study forms part of the Xcursion Online International School Travel Safety Course.

Course Overview Strategic thinking is essential for leaders who aim to guide their organisations toward long-term success. This course is designed to enhance the strategic thinking capabilities of managers and leaders, enabling them to foresee challenges, identify opportunities, and make informed decisions that align with their organisation's vision and goals. Participants will learn to adopt a strategic mindset, utilise strategic tools, and develop actionable strategies that drive sustainable growth. This course is designed by highly qualified learning design experts, assisted and guided by a Doctoral & Masters level leadership team. Working closely with subject matter leaders with extensive domain experience, this course is built on sound academic rigour and applied real world experience. Run in a cohort-based, activity-led format, it goes beyond theory to provide practical methods and frameworks that you can immediately apply in your workplace. Key Outcomes -Explain the importance of strategic thinking and how to develop a strategic mindset. -Conduct thorough environmental scans and analyses. -Develop long-term goals, craft vision and mission statements, and evaluate strategic options. -Effectively communicate strategic plans, ensure next-level managers create actionable plans, monitor their implementation, and provide support to ensure alignment with organisational goals. Format F2F or Virtual Delivery Mode Closed Cohort or Occasional Limited Public Schedule Duration 2 Days Target Audience Managers, team leaders, and executives who are responsible for strategic planning and decision-making within their organisations.

How salespeople can use a more collaborative approach to drive opportunities in the new world of sales

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

Course Overview The ability for an organisation to adapt to change is reliant on the willingness of individuals to embrace new ways of working and apply strategies to navigate ambiguous and uncertain contexts. When widespread and impactful change rolls out across an organization, the affected workforce require both mindset and skills uplift in order to embrace and become positive contributors to the change. Designed by Learning Designers and change experts who have been practicing and teaching change management for almost 30 years together with Doctoral level learning qualifications. Run in a cohort-based, activity-led format, it goes beyond theory to provide practical methods and frameworks that you can immediately apply in your workplace. Key Outcomes -Exploring effective pathways to navigate change -Identifying the purpose and benefit of the change -Assessing and managing the impact of the change -Proactively Engaging in the Change Process in a constructive way -Planning activities and actions to embrace and support the change. Format F2F or Virtual Delivery Mode Closed Cohort or Occasional Limited Public Schedule Duration 1 Day Target Audience Business professionals who are either anticipating or immersed in change as participants or contributors.

The course is relevant to anyone requiring an understanding of the use of Agile or looking to adopt it. This includes, but is not limited to, organisational leaders and managers, marketing executives and managers, and/or all professionals working in an Agile environment, including software sesters, developers, business analysts, UX designers, project management office (PMO), project support and project coordinators.