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Untapped Agility - 3 Leadership Moves to Transform Your Transformation Agile transformations are supposed to make organizations modern. competitive. and relevant. But in the well-intentioned effort to move into the future. change leaders find themselves frustrated by pushback. limited impact. poor practices. and unfair criticism. What's going on?This breakthrough presentation cuts through the 'quick fix' hype of agile theory and explains a recurring transformational pattern that unpacks what holds organizations back: The BOOST is the initial gains from logical first steps; the BARRIER is the unavoidable roadblock that must come next; the ReBOUND is the way forward to further gains by leaning against the concept of the original boost. With these counter-intuitive rebounds in mind. this energetic talk explores three leadership moves that can be used to unblock stalled agile transformations.No. your transformation is not a failure. It turns out the buy-in. the talent. the alignment. and the growth you need to break through are already in front of you; it's all simply hidden under the surface. Undiscovered. Unutilized. Untapped. What you will Learn Key Takeaways: How labelling agile anti-patterns actually impedes the journey How to take the next step past a transformation barrier How to reframe transformation barriers into adjustments

Juggling Your Competence on Your Way to Personal Agility Everyday, we have the potential to get thrown into different scenarios and opportunities. We are constantly juggling our established skill set with new skills. In this talk, Erin Bolk will talk about the different stages of learning, how you might move through them and how to intentionally recognize where you are in the learning curve. We will also take time to look at how we can help our team members by meeting them where they are. As we go on this personal journey, Erin will offer tools to use for you and how they can be adapted to be used within your team. This session is a fun way to learn more about you and who you are! And how you develop within your dynamic team. The goal of this session is to highlight the process we go through as we are introduced to new things. As a part of this goal, Erin will be highlighting our personal growth as well as the growth of those around us. Learning Outcomes Have different learning models to utilize and reference as they interact daily with work and life. Understand where we are in our learning process affects our decisions. Learn how to Juggle!

Innovation as a Way to Embrace Change We've entered a very disruptive time that has generated the condition for breakthrough innovation as a way to overcome the status quo and the danger of becoming obsolete. Across industries, we are seeing global companies forced to adapt by finding new business models and methods for survival, ensuring business continuity, or serving their customer needs. For this reason, innovation matters now more than ever. In this talk, Liliana Cerilo will discuss bringing innovative solutions to life. She's the Head of Strategy at an innovation team at Google called Exploratory, whose mission is to build transformational solutions that solve her largest global brand partners' most critical business challenges. In this discussion, Liliana will share 5 tried and tested fundamentals to successfully and consistently launch innovative solutions. She will challenge you throughout her talk to think outside the box, forget about your title and its core responsibilities, and truly focus on what it takes to be an innovator. Key Takeaways: The impact of having a vision What it means to think strategically How to allow space to be innovative The importance of cross team collaboration Find the entrepreneur in you - not taking no for an answer

Cement your place in the travel and tourism industry and develop the fundamental knowledge to kickstart your career with this best-selling course. This Travel and Tourism course is the ultimate learning experience for those who are new to this sector and require entry-level knowledge. You will cover all aspects of tourism and hospitality, including travel management, travel agencies, the role and responsibilities of a travel sales consultant, and tour operations. You will also learn about key tourism destinations. Throughout this certificate program, you will develop fundamental hospitality management skills, which will help you to fast track your career in this industry. Learning Objectives A sweeping overview of the modern travel and tourism industry The development of the travel & tourism industry in recent years Understanding the influence of environmental awareness and the creation of competitive tourism products Get introduced to the more intense and complex travel industry issues Explore the various roles and responsibilities of the travel organizers Planning and organizing national and international tour operations understanding the value of valuable marketing in travel and tourism Consideration of transportation options and logistics The importance of sustainable tourism and environmental awareness Crisis management and public awareness in travel and tourism The basics of establishing and running a successful travel business Deliver excellent, high-quality customer service for each client Shopping pitfalls, including food and dining tips Who is this Course for? Our Travel & Tourism Diploma is an introductory course that will benefit beginners and industry professionals alike. Those who are looking to break into the travel and tourism industry can use this Certificate of Achievement to help them gain the practical knowledge required to secure a position in this field. This distance learning course offers flexible studying and comprehensive training modules that can be accessed anywhere with a Wi-Fi connection. There are no entry requirements and learners of all levels can enrol. Entry Requirement: This course is available to all learners, of all academic backgrounds. A good understanding of the English language, numeracy and ICT are required to attend this course. Certificate of Completion from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path On successful completion, this diploma course will help learners to secure a position in the following careers: Travel Agent Business Travel Consultant Tour Guide Holiday Representative Accommodation Booker Concierge Manager Travel Sales Advisor Travel Specialist Cruise Ship Director Information Clerk Recreation Worker Tour and Travel Guide Course Curriculum Module 01: An Introduction to Travel & Tourism An Introduction to Travel & Tourism 00:30:00 Assessment Module 01 Module 01 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 02: The Business of Travel and Tourism The Business of Travel and Tourism 00:15:00 Assessment Module 02 Module 02 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 03: Marketing to the Traveling Public Marketing to the Traveling Public 00:20:00 Assessment Module 03 Module 03 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 04: Characteristics of Travel and Tourism Organisations Characteristics of Travel and Tourism Organisations 00:15:00 Assessment Module 04 Module 04 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 05: Career Development within the Industry Career Development within the Industry 00:15:00 Assessment Module 05 Module 05 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 06: Sustainable Tourism Sustainable Tourism 00:20:00 Assessment Module 06 Module 06 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 07: Sociocultural Impacts of Travel and Tourism Sociocultural Impacts of Travel and Tourism 00:20:00 Assessment Module 07 Module 07 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 08: Environmental Impacts of Tourism Environmental Impacts of Tourism 00:15:00 Assessment Module 08 Module 08 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 09: Social Media and Tourism Marketing Social Media and Tourism Marketing 00:10:00 Assessment Module 09 Module 09 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Module 10: Tourism and UK Tourism and UK 00:10:00 Assessment Module 10 Module 10 Final Quiz Exam - Travel & Tourism Diploma 00:10:00 Recommended Reading Recommended Reading - Travel & Tourism Diploma 2 weeks, 1 day Order Your Certificate

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Building Data Science Products? Think Business First Modern machine learning libraries are both a blessing and a curse. Due to the ease with which the libraries can be used, most users (newbies and practitioners alike) focus too much on tools and techniques. We will discuss the high-level thinking process of coming up with a machine learning algorithm by asking a business question before even thinking about the tools or technologies.Learning Objectives We will discuss the high-level thinking process of coming up with a machine learning algorithm by asking a business question before even thinking about the tools or technologies. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The Power of Market-Creating Innovation Innovation is a commonly used buzzword, but it has lost a lot of value because of its ubiquity. What do we mean by innovation? What types of innovation are there? How can understanding the different types of innovation help us do better work? Market-creating innovations transform complicated and expensive products into products that are simple and affordable so that many more people in society can have access to them. In doing so, these innovations create a new market because they target non-consumers. Efosa Ojomo explains the critical role of market-creating innovations in not only serving as new growth engines for companies, but also as a foundation for sustained economic development of a region. Using theories and models developed by Professor Clayton Christensen and his team, Ojomo demonstrates how innovations that create new markets impact peoples' lives, and challenges us to change how we think about innovation in our organizations. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Why Passionate Leadership Matters Innovation is a commonly used buzzword, but it has lost a lot of value because of its ubiquity. What do we mean by innovation? What types of innovation are there? How can understanding the different types of innovation help us do better work? Market-creating innovations transform complicated and expensive products into products that are simple and affordable so that many more people in society can have access to them. In doing so, these innovations create a new market because they target non-consumers. Efosa Ojomo explains the critical role of market-creating innovations in not only serving as new growth engines for companies, but also as a foundation for sustained economic development of a region. Using theories and models developed by Professor Clayton Christensen and his team, Ojomo demonstrates how innovations that create new markets impact peoples' lives, and challenges us to change how we think about innovation in our organizations. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Why Passionate Leadership Matters Innovation is a commonly used buzzword, but it has lost a lot of value because of its ubiquity. What do we mean by innovation? What types of innovation are there? How can understanding the different types of innovation help us do better work? Market-creating innovations transform complicated and expensive products into products that are simple and affordable so that many more people in society can have access to them. In doing so, these innovations create a new market because they target non-consumers. Efosa Ojomo explains the critical role of market-creating innovations in not only serving as new growth engines for companies, but also as a foundation for sustained economic development of a region. Using theories and models developed by Professor Clayton Christensen and his team, Ojomo demonstrates how innovations that create new markets impact peoples' lives, and challenges us to change how we think about innovation in our organizations. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Scaling with Simplicity - How to Eliminate Complexity in Large Agile Programs As agile thought leaders debate if agile at scale is really "agile" many of us who work in the trenches understand that scaling is sometimes necessary. We work in legacy environments and on complex codebases that require coordination. Our organizations may be working towards independent teams and a microservices architecture, but even the migrations required to get there demand scaling. This talk will help participants reduce complexity in scaled organizations and simplify their program framework. Attendees will receive actionable recommendations to help them execute more efficiently starting today. With a heavy focus on eliminating dependencies and effective planning, the presentation will help attendees bring simplicity to even the most complex scaled programs. Interspersed through the presentation will be real-life examples of successes and failures so attendees can understand how to put ideas into action. Attendees will also receive tips on influencing leadership to adopt these recommendations, empowering them to drive sustainable change. Key takeaways: How to simplify a program's operating model Tips for eliminating dependencies and managing through dependencies that can't be cut How to overcome two problems no amount of planning can solve for: bad requirements and unstable priorities Strategies to reduce the impact of prioritization changes How to influence the change necessary to build a better managed program