42606 Learning courses in Nottingham delivered Online

  ISO 37001 Lead Implementer training enables you to develop the necessary expertise to support an organization in establishing, implementing, managing and maintaining an Anti-bribery Management System (ABMS) based on ISO 37001 About This Course   During this training course, you will also gain a thorough understanding of the global anti-corruption best practices of Anti-bribery Management Systems and effectively prevent, detect and address bribery before it negatively impacts an organization's reputation and profits.   After mastering all the necessary concepts of Anti-bribery Management Systems, you can sit for the exam and gain "Certified ISO 37001 Lead Implementer' credential. By holding this Certificate, you will be able to demonstrate that you have the practical knowledge and professional capabilities to implement ISO 37001 in an organization.   Learning objectives   Acknowledge the correlation between ISO 37001 and other standards and regulatory frameworks Master the concepts, approaches, methods and techniques used for the implementation and effective management of an ABMS Learn how to interpret the ISO 37001 requirements in the specific context of an organization Learn how to support an organization to effectively plan, implement, manage, monitor and maintain an ABMS Acquire the expertise to advise an organization in implementing Anti-bribery Management System best practices   Educational approach   This training is based on both theory and best practices used in the implementation of an ABMS Lecture sessions are illustrated with examples based on case studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam Prerequisites   A foundational understanding of ISO 37001 and knowledge of implementation principles.  What's Included?   Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Guides CPD Certificate The Exam Accreditation Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success.   Provided by   This course is Accredited by NACS and Administered by the IECB. Who Should Attend?   Professionals looking to implement and maintain an Anti-Bribery Management System Compliance officers

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

In today’s world, the accounting and finance industry is more competitive than ever and goes beyond simply having theoretical qualifications. Candidates who desire to make an impression are required to have an understanding of computerised packages such as Sage 50 Accounts & Microsoft Excel. Our 3-month training programme provides everything you need to become fully qualified in Sage 50 Accounts & Microsoft Excel. Once you have completed your training session you will gain accredited certifications and three months of remote experience directly with one of our clients. After completing this programme candidates will be able to showcase that they have the following: Sage 50 Accounts Beginners Sage 50 Accounts Intermediate Sage 50 Accounts Advanced Microsoft Excel for Accountants beginners to advanced 3 months of remote work experience Job reference Career support This comprehensive training programme has been developed to enhance your CV and boost your job prospects. CPD 480 CPD hours / pointsAccredited by The CPD Certification Service Description What’s included 3 months access to the online course Professional qualifications Guaranteed work placement (12 weeks) Accountancy certifications Learn industry-leading software to stand out from the crowd Information-packed practical training starting from basics to advance principles Course content designed considering current software and the job market trends A practical learning experience working with live company data Who is this course for? Part Qualified, Freshly Qualified Accountancy Students Graduates with No or little Job Experience Students Currently Studying or intending to study Accountancy or want to refresh knowledge on tax and accounting People who are already working in the industry but want to gain further knowledge about tax and accounting And Thinking of opening an accountancy/Tax/Payroll Practice Requirements There are no formal entry requirements for this course. We also expect the candidates to have basic knowledge of Accountancy. Career path Candidates who have completed this programme have secured jobs in the following roles; Trainee Accountant – Salary £24,750 Credit Controller – Salary £21,434.43 General Ledger Accountant – Salary £23,850.60 Accountant – Salary £28,985.77 Insurance Accountant – Salary £29,541.25

Start your career as an IT Support Engineer and earn up to £34,000 per month. Are you looking to get a job in the rewarding field of IT? Do you want to earn a lot of money monthly by spending less? Our IT Support Job Ready Program is here to make that possible! It is your ultimate gateway to learning IT skills and launching a successful career in this ever-evolving industry. With our comprehensive career bundle, we don't just educate you; we guide you every step of the way until you land that dream job. This exclusive IT Support Job Ready program includes an expertly made collection of courses, each designed to build your expertise from the ground up. Our mission is simple - to be your trusted partner every step of the way, from Training to Employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. 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One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the IT Support field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking IT Support Technicians. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from. Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success. Courses we will provide once you enrol in the program: Course 01: Windows 10 Pro Complete Training Course 02: Learning Computers and Internet Course 03: Encryption Course 04: Internet of Things Course 05: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 06: Secure Programming of Web Applications Course 07: Building Your Own Computer Course 08: Cloud Computing Training Course 09: Data Center Training Essentials: General Introduction Course 10: Cisco ASA Firewall Training Course 11: ICT: Information and Communication Technology Course 12: Success- The 7 Skills To Success, Confidence & Achievement Course 13: IT Helpdesk Support Essentials Course 14: Functional Skills IT The IT Support Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps: Step 1: Enrol in the Programme Join our ENTRY LEVEL IT Support Training for lifetime access to 14 IT Network Infrastructure courses, complete with secure registration and a 14-day money-back guarantee. Step 2: Initial One-On-One Counselling Session After enroling in the IT Support Training, connect with a career mentor in an initial session to tailor your learning path based on your career goals and skills. Step 3: Certification upon Course Completion After learning from the IT Support courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping We'll professionally enhance your CV and LinkedIn profile to effectively showcase your skills in IT Support for the IT/Web industry. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your IT Support career goals, including high-profile connections on LinkedIn. Step 6: Interview Preparation: Access our IT Support Training interview question database and practice with simulated interviews for feedback and improvement. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure IT Support job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8 Post-Interview Support: We'll provide a debriefing session to reflect on your performance and identify areas of improvement for future IT Support interviews if necessary. Step 9 Job Celebration and Ongoing Support: Once you've secured your dream job in ENTRY LEVEL IT Support Engineer, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Support Job Ready Program is perfect for: Aspiring IT professionals eager to enter the tech industry. Career changers looking to transition into IT support. Recent graduates aiming to enhance their employability in IT. Self-taught tech enthusiasts seeking formal training and certification. Anyone needing structured guidance and support to secure an IT job. Requirements No experience is required. Just enrol & start learning. Career path After completing this IT Support Job Ready Program, you will be able to get different jobs such as: IT Support Technician: £20,000 - £40,000 Network Administrator: £25,000 - £50,000 Cybersecurity Analyst: £30,000 - £75,000 Cloud Computing Specialist: £35,000 - £80,000 Data Center Technician: £25,000 - £65,000 Systems Administrator: £30,000 - £70,000 IT Project Manager: £40,000 - £100,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Are you looking to enhance your Investment - Key Concepts and Techniques skills? If yes, then you have come to the right place. Our comprehensive course on Investment - Key Concepts and Techniques will assist you in producing the best possible outcome by mastering the Investment - Key Concepts and Techniques skills. The Investment - Key Concepts and Techniques is for those who want to be successful. In the Investment - Key Concepts and Techniques, you will learn the essential knowledge needed to become well versed in Investment - Key Concepts and Techniques. Our Investment - Key Concepts and Techniques starts with the basics of Investment - Key Concepts and Techniques and gradually progresses towards advanced topics. Therefore, each lesson of this Investment - Key Concepts and Techniques is intuitive and easy to understand. Why would you choose the Investment - Key Concepts and Techniques from Compliance Central: Lifetime access to Investment - Key Concepts and Techniques materials Full tutor support is available from Monday to Friday with the Investment - Key Concepts and Techniques Learn Investment - Key Concepts and Techniques skills at your own pace from the comfort of your home Gain a complete understanding of Investment - Key Concepts and Techniques Accessible, informative Investment - Key Concepts and Techniques learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the Investment - Key Concepts and Techniques bundle Study Investment - Key Concepts and Techniques in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Investment - Key Concepts and Techniques Improve your chance of gaining in demand skills and better earning potential by completing the Investment - Key Concepts and Techniques Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. Investment - Key Concepts and Techniques Course Curriculum: Module 1: Introduction Module 2: Types and Techniques Module 3: Key Concepts in Investment Module 4: Understanding the Finance Module 5: Investing in Bond Market Module 6: Investing in Stock Market Module 7: Risk and Portfolio Management CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Investment - Key Concepts and Techniques helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Investment - Key Concepts and Techniques. It is also great for professionals who are already working in Investment - Key Concepts and Techniques and want to get promoted at work. Requirements To enrol in this Investment - Key Concepts and Techniques, all you need is a basic understanding of the English Language and an internet connection. Career path The Investment - Key Concepts and Techniques will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Investment - Key Concepts and Techniques. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Special Educational Needs: Special Educational Needs Coordinator Course Online Our Special Educational Needs: Special Educational Needs Coordinator Course is suitable for anyone who is already working or wants to work in a SENCo role as part of their Early Years Practitioner role. This Special Educational Needs: Special Educational Needs Coordinator Course will teach you about the roles and responsibilities of the Special Educational Needs Coordinator in an early years setting. Through this Special Educational Needs: Special Educational Needs Coordinator Course, you will learn about strategies and techniques for assisting children and their families, as well as SEN codes of practice. This Special Educational Needs: Special Educational Needs Coordinator Course will also help you progress to further and higher education and develop new practical skills in health and social care. Main Course: Special Educational Needs Coordinator Courses you will Special Educational Needs Coordinator Course Along with Special Educational Needs Course you will get free Level 2 Certificate Introducing Caring for Children and Young People Along with Special Educational Needs Course you will get free Level 1 First Award in Children's Play Learning and Development Along with Special Educational Needs Course you will get free Advanced Diploma in Child Care Special Offers of this Special Educational Needs Coordinator Course This Special Educational Needs Coordinator Course includes a FREE PDF Certificate. Lifetime access to this Special Educational Needs Coordinator Course Instant access to this Special Educational Needs Coordinator Course 24/7 Support Available to this Special Educational Needs Coordinator Course Special Educational Needs: Special Educational Needs Coordinator Course Online This Special Educational Needs: Special Educational Needs Coordinator Course has various modules to cover the topics related to this field. From the Special Educational Needs: Special Educational Needs Coordinator Course, you can recognise the legal framework, and identify and assess SEND. also, the Special Educational Needs: Special Educational Needs Coordinator Course explains how to prepare and carry out actions. You can learn to collaborate with parents, carers, and other experts through the Special Educational Needs: Special Educational Needs Coordinator Course help. Who is this course for? Special Educational Needs: Special Educational Needs Coordinator Course Online This Special Educational Needs: Special Educational Needs Coordinator Course is suitable for those already working in a SENCo role as part of their Early Years Practitioner role or interested in doing so. This Special Educational Needs: Special Educational Needs Coordinator Course is also suitable for childminders. Requirements Special Educational Needs: Special Educational Needs Coordinator Course Online To enrol in this Special Educational Needs: Special Educational Needs Coordinator Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Special Educational Needs Coordinator Course. Be energetic and self-motivated to complete our Special Educational Needs Coordinator Course. Basic computer Skill is required to complete our Special Educational Needs Coordinator Course. If you want to enrol in our Special Educational Needs Coordinator Course, you must be at least 15 years old. Career path Special Educational Needs: Special Educational Needs Coordinator Course Online After completing this Special Educational Needs: Special Educational Needs Coordinator Course, you will be able to pursue a variety of promising career opportunities, such as — Early years Primary teaching Nursing Health and social care Social work Childhood studies Community, youth and families

This course provides a comprehensive understanding of reflective practice and its significance in professional development. Through various modules, participants will learn how to cultivate a reflective culture, set goals, and use reflective tools effectively. By dispelling misconceptions about reflective practice, both teachers and students can enhance their learning and growth. The course offers valuable insights into fostering a culture of continuous improvement and critical self-assessment. Learning Outcomes: Gain an introduction to the concept of reflective practice. Develop skills to set meaningful goals and objectives. Establish a reflective practice culture within an organization. Learn to utilize reflective tools for self-assessment. Understand the importance of integrating reflection into practice. Explore misconceptions about reflective practice from different perspectives. Enhance critical thinking and self-awareness. Complete an assignment to apply reflective principles. Why buy this Professional Development: Reflective Culture Practice?  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 Professional Development: Reflective Culture Practice you will be able to take the MCQ test that will assess your knowledge. 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 course for? This Professional Development: Reflective Culture Practice course is ideal for Educators seeking to improve teaching methods. Professionals aiming to enhance self-awareness and growth. Individuals interested in fostering a culture of reflection. Students looking to develop effective study and learning habits. Prerequisites This Professional Development: Reflective Culture Practice 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 Teacher or Educator - Average Salary: £25,000 - £40,000 per year. Instructional Designer - Average Salary: £25,000 - £45,000 per year. Training and Development Specialist - Average Salary: £25,000 - £40,000 per year. Educational Coordinator - Average Salary: £25,000 - £35,000 per year. Academic Advisor - Average Salary: £20,000 - £30,000 per year. Course Curriculum Module 01: Introduction to Reflective Practice Introduction to Reflective Practice 00:23:00 Module 02: Goals, Objectives and Reflective Habits Goals, Objectives and Reflective Habits 00:24:00 Module 03: Developing a Reflective Practice Culture Developing a Reflective Practice Culture 00:21:00 Module 04: Reflective Tools (Part 1) Reflective Tools (Part 1) 00:50:00 Module 04: Reflective Tools (Part 2) Reflective Tools (Part 2) 00:36:00 Module 05: Setting Reflection in Practice Setting Reflection in Practice 00:36:00 Module 06: Misconceptions About Reflective Practice from Teacher and Student Perspective Misconceptions about Reflective Practice from Teacher and Student Perspective 00:14:00 Assignment Assignment - Professional Development: Reflective Culture Practice 00:00:00

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Leading and Managing Change Change moves people out of their comfort zones. It is essential for growth, but it also causes disruptions that can diminish our ability to envision a clear and positive future. To effectively lead organizational change, you must understand both the dynamics of change and the emotional impact it has on everyone it touches. This presentation introduces an Integrated Change Leadership model that equips you to move people in a new direction, providing ongoing support and guidance in the face of uncertainty. 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.

Managing Complex Projects: In-House Training As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition