Dive into the mesmerising world of art from a managerial vantage point with our bespoke Arts Management course. The art sector, bursting with creativity and passion, demands a structured and strategic approach to thrive. This course provides a tapestry of skills, intertwining the beauty of art with the precision of management. Whether it's navigating the financial intricacies or leading dynamic art projects, equip yourself with the tools to be at the forefront of cultural innovation. Learning Outcomes Gain a comprehensive understanding of the core principles of arts management. Develop expertise in financial planning and fundraising tailored for the arts sector. Master marketing strategies specific to promoting artistic endeavours. Understand leadership dynamics, fostering entrepreneurship within the arts community. Explore the global landscape of arts, understanding cultural policies and international opportunities. Why choose this Arts Management course? 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 Arts Management 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 Arts Management course for? Aspiring arts administrators and managers. Artists looking to gain managerial proficiency. Individuals aiming to delve into cultural policy-making. Entrepreneurs wishing to innovate in the arts sector. Professionals seeking global opportunities in arts management. Career path Arts Administrator: £22,000 - £40,000 Gallery Manager: £25,000 - £50,000 Cultural Policy Analyst: £28,000 - £55,000 Arts Marketing Director: £30,000 - £60,000 Fundraising Manager for Arts: £27,000 - £53,000 Arts Organisation Leader: £35,000 - £70,000 Prerequisites This Arts Management does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Arts Management 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. Course Curriculum Module 01: Introduction to Arts Management Introduction to Arts Management 00:17:00 Module 02: Planning in Arts Management Planning in Arts Management 00:22:00 Module 03: Financial Management in Arts Financial Management in Arts 00:22:00 Module 04: Fundraising in Arts Management Fundraising in Arts Management 00:21:00 Module 05: Marketing in Arts Marketing in Arts 00:20:00 Module 06: Organisational Perspectives Organisational Perspectives 00:14:00 Module 07: Leadership and Entrepreneurship Leadership and Entrepreneurship 00:15:00 Module 08: Cultural Policy Cultural Policy 00:14:00 Module 09: Globalisation and Internationalisation in Arts Management Globalisation and Internationalisation in Arts Management 00:12:00 Module 10: Career in Arts Management Career in Arts Management 00:15:00 Assignment Assignment - Arts Management 00:00:00
Embark on a journey to mastering the intricate art of production management with our Production Manager course. This educational odyssey commences with an exploration of facilitation, delving into the nuances between process and content. You'll be guided through the foundational aspects of setting the stage for effective teamwork and decision-making. As the course progresses, you'll immerse yourself in Tuckman and Jensen's model of team development, a cornerstone theory in understanding team dynamics. This course also equips you with the skills to build consensus within teams, a vital component in navigating the complex landscape of today's work environments. Furthermore, you'll learn to address the challenges of reaching pivotal decision points and managing complex group interactions, including the delicate task of handling challenging personalities and rectifying group dysfunctions. This comprehensive course offers a deep dive into the realm of interventions, shedding light on various intervention techniques. It's meticulously designed to transform you into a proficient production manager, capable of fostering a harmonious and efficient work atmosphere. By the end of this course, you will not only possess a thorough understanding of team development and dynamics but also the practical know-how to apply these concepts effectively in real-world scenarios. This blend of theoretical knowledge and application prepares you to lead with confidence, making critical decisions and driving your team towards success. Learning Outcomes Gain a comprehensive understanding of facilitation and the distinction between process and content in management. Develop an in-depth knowledge of Tuckman and Jensen's model, essential for effective team development. Acquire skills to build consensus and navigate decision-making processes within diverse teams. Learn strategies to effectively manage difficult individuals and address group dysfunctions. Master various intervention techniques, enhancing your ability to maintain a productive work environment. Why choose this Production Manager course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Production Manager course for? Individuals aspiring to step into the role of a production manager. Team leaders seeking to enhance their management and facilitation skills. Professionals in the management field aiming to deepen their understanding of team dynamics. Those responsible for making critical decisions and leading teams in any business setting. Employees looking to transition into managerial roles and require a solid foundation in team development and management. Career path Production Manager: £30,000 - £50,000 Team Leader: £25,000 - £40,000 Operations Manager: £35,000 - £55,000 Project Coordinator: £24,000 - £35,000 Human Resources Manager: £30,000 - £50,000 Business Development Manager: £28,000 - £55,000 Prerequisites This Production Manager does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Production Manager 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. Course Curriculum Production Manager Understanding Facilitation 00:30:00 Process vs. Content 01:00:00 Laying the Groundwork 00:30:00 Tuckman and Jensen's Model of Team Development 01:00:00 Building Consensus 00:30:00 Reaching a Decision Point 01:00:00 Dealing with Difficult People 01:00:00 Addressing Group Dysfunction 01:00:00 About Intervention 00:30:00 Intervention Techniques 00:30:00 Mock Exam Mock Exam- Production Manager 00:20:00 Final Exam Final Exam- Production Manager 00:20:00
Building Confidence, Self Worth & Friendships Making Tracks is for children with additional needs and their families, allowing them access to an inclusive and sensory rich environment. Developing confidence and self esteem, motivation to learn and improving self worth. This group is based around the children and their needs. Our highly skilled staff work with children and their families, to encourage growth in a supportive and nurturing environment. Activities include outdoor play and learner led activities such as den building, campfire cooking and exploration. How To Access Our Alternative Schooling Sessions Making Tracks, our alternative schooling sessions, are open to all children of school age and currently takes place on a Tuesday during term time from Group One 10am - 12pm Group Two 1pm - 3pm. Each session costs £5.00 Making Tracks can be paid for through your Educational Health Care Plan. Book Now To discuss your child’s needs, or to organise One to One session please contact us. Why Choose Nature for your child? Whatever the reason children come to the woods to access our programmes, we aim to incorporate the forest school ethos into all our activities and sessions, offering a learner-centred approach wherever possible. In line with forest school objectives, we strive to use their Badger Forest School experience to help children overcome their previous experiences and become positive and pro-active learners. As an organisation with trauma-informed status, our Nurture Programme is specifically designed to support emotional wellbeing as we believe this best supports a child’s development and aids their return to a school setting on a full-time basis. Children are assisted to understand their emotions, their triggers and their behaviours, so that they can learn self-regulation and management techniques. They build trusted relationships with staff which enables therapeutic conversations to happen. The outdoors environment and associated skills building offers children the opportunity to succeed which helps develop confidence, self-esteem and identity. All-weather outdoor learning generates motivation and resilience, as well as helps relieve passivity, stress and anxiety. In terms of academic learning, sessions deliver a wide range of activities designed to develop the child’s concentration, practical skills, fine and gross motor development, problem solving, language and communication skills, and expand their understanding of the natural world. Activities might include: Shelter building Fire lighting and cooking on an open fire Tool use Studying wildlife Rope and string work Art and sculpture work Sensory activities Developing and discussing stories Creating and completing obstacle courses Activities frequently incorporate opportunities for working on literacy or numeracy skills, and additionally, we can work towards including some elements of the National Curriculum if this is a priority for the client, as many of our staff are teacher trained or have experience working in schools.
For New Mums And Their Children Improve Wellbeing We offer time to discover what you and your child enjoy. We explore mindfulness and grounding exercises for mums/carers and babies. Enjoy The Fresh Air A cosy campfire, campfire treats, play, crafts and walks in the woods are very much part of these sessions and make the most of being outdoors. Story telling and singing, seasonal crafts and getting hands on in the mud kitchen give your child lots of options for fun in the fresh air. Build Connections Building connections with your babies and other mums is a very natural progression as you have time to relax and enjoy each others company. Supporting All New Mamas Wednesdays 11am - 1pm (term time) Mamas in nature supports new Mums and their babies. This safe, supportive space can bring everybody positivity, connection and joy. The feed back from Mums is really positive with members feeling more relaxed, supported and calmer. Mama’s in Nature is partly funded by the National Lottery Community Fund and is only £3 per carer per session. Access to these sessions is for existing attendees or via social prescribing. If you are interested in sessions because you feel you or someone else may benefit from attending, please email info@badgerforestschool.co.uk to discuss. What you might need We are outside all year round so warm and waterproof clothes (for you and for baby) will help you enjoy the sessions. We have a range of outdoor clothing, slings etc which can be borrow for the sessions at no charge, so don’t worry if you don’t have all you need. If you have a sling or pushchair suitable for woodland walks and a change of clothes for baby, as they may get muddy and wet, bring them along. We also have use of an indoor space where needed.
Duration 5 Days 30 CPD hours This course is intended for This course is intended for individuals who want to learn how to program Android applications using the Java Programming Language. Overview Upon successful completion of this course, students will have an understanding of basic application Android development. This course will teach the basics of Android Development using the Java Programming Language and Android Studio. Introduction and Setup Android Studio Development Essentials Introduction Setting up an Android Studio Development Environment Creating an Example Android App in Android Studio A Tour of the Android Studio User Interface Creating an Android Virtual Device (AVD) in Android Studio Using and Configuring the Android Studio AVD Emulator Testing Android Studio Apps on a Physical Android Device The Basics of the Android Studio Code Editor Android Architecture and State Changes An Overview of the Android Architecture The Anatomy of an Android Application Understanding Android Application and Activity Lifecycles Handling Android Activity State Changes Android Activity State Changes by Example Saving and Restoring the State of an Android Activity Views and Layouts Understanding Android Views, View Groups and Layouts in Android Studio A Guide to the Android Studio Layout Editor Tool A Guide to the Android ConstraintLayout A Guide to using ConstraintLayout in Android Studio An Android Studio Layout Editor ConstraintLayout Tutorial Manual XML Layout Design in Android Studio Creating an Android User Interface in Java Code Event Handling An Overview and Example of Android Event Handling A Guide to using Instant Run in Android Studio Android Touch and Multi-touch Event Handling Detecting Common Gestures using Android Studio and the Gesture Detector Class Implementing Custom Gesture and Pinch Recognition on Android Advanced Layout and Transitions An Introduction Android Fragments Using Fragments in Android Studio - An Example Creating and Managing Overflow Menus on Android Animating User Interfaces with the Android Transitions Framework An Android Transition Tutorial using beginDelayedTransition Implementing Android Scene Transitions ? A Tutorial Working with the Floating Action Button and Snackbar Creating a Tabbed Interface using the TabLayout Component Working with the RecyclerView and CardView Widgets An Android RecyclerView and CardView Tutorial Working with the AppBar and Collapsing Toolbar Layouts Implementing an Android Navigation Drawer An Android Studio Master/Detail Flow Tutorial Intents, Threads, Services, and Notifications An Overview of Android Intents Android Explicit Intents ? A Worked Example Android Implicit Intents ? A Worked Example Android Broadcast Intents and Broadcast Receivers A Basic Overview of Threads and Thread Handlers An Overview of Android Started and Bound Services Implementing an Android Started Service - A Worked Example Android Local Bound Services - A Worked Example Android Remote Bound Services - A Worked Example An Android 7 Notifications Tutorial An Android 7 Direct Reply Notification Tutorial Data Access and Storage Integrating Firebase Support into an Android Studio Project An Android 7 Firebase Remote Notification Tutorial An Introduction to Android 7 Multi-Window Support An Android Studio Multi-Window Split-Screen and Freeform Tutorial An Overview of Android SQLite Databases in Android Studio An Android TableLayout and TableRow Tutorial An Android SQLite Database Tutorial Understanding Android Content Providers Implementing an Android Studio Content Provider in Android Studio Accessing Cloud Storage using the Android Storage Access Framework An Android Storage Access Framework Example Multimedia, Maps and Printing Video Playback on Android VideoView and MediaController Classes Video Recording and Image Capture using Camera Intents Making Runtime Permission Requests in Android Android Audio Recording and Playback using MediaPlayer and MediaRecorder Working with the Google Maps Android API in Android Studio Printing with the Android Printing Framework An Android HTML and Web Content Printing Example A Guide to Android Custom Document Printing Final Build An Android Fingerprint Authentication Tutorial Handling Different Android Devices and Displays Signing and Preparing an Android Application for Release Integrating Google Play In-app Billing into an Android Application An Overview of Gradle in Android Studio An Android Studio Gradle Build Variants Example Additional course details: Nexus Humans Android Studio Development Essentials 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 Android Studio Development Essentials 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 geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.
There are multiple steps and proven strategies that will help you write your Business Administration thesis impressively.