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Leadership Management & High-Performing Team Management is a course designed to help individuals develop the skills to lead teams effectively and enhance their leadership abilities. Whether you're in charge of a team or looking to improve your leadership style, this course provides the tools you need to foster collaboration, drive performance, and guide teams to success. With insights into key leadership techniques, communication strategies, and team dynamics, this course is a step towards mastering team management and excelling in leadership roles. By the end of the course, you'll be equipped to manage diverse teams, adapt to various leadership challenges, and create an environment where high performance is the norm. You'll learn how to build trust, establish clear goals, and navigate conflicts with ease. This course is perfect for anyone aiming to refine their leadership style, enhance their ability to manage teams, and contribute to an organisation’s success. Prepare to develop an approach that not only motivates your team but also improves overall team efficiency and satisfaction. ________________________________________________________________________ Key Features: CPD Certified 11 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Leadership Management Training Module 01: Getting Started Module 02: Situational Leadership Module 03: A Personal Inventory Module 04: Modeling the Way Module 05: Inspiring a Shared Vision Module 06: Challenging the Process Module 07: Enabling Others to Act Module 08: Encouraging the Heart Module 09: Basic Influencing Skills Module 10: Setting Goals Team Management Module 01: Defining Team Module 02: Understanding Management and Leadership Module 03: Building High Performing Teams Module 04: Motivating Team Members Module 05: Talent Management Module 06: Stress Management and Mental Health Module 07: Succession Planning Module 08: Communication Skills Module 09: Negotiation Techniques Module 10: Managing Change Module 11: Managing Time Module 12: Managing Conflict Module 13: Risk Management Process Module 14: Managing Virtual Teams ________________________________________________________________________ Complete Career Guide for Leadership Management & High-Performing Team Management(A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Leadership Management. In addition to mastering the essentials of Leadership Management, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Leadership Management. Your dream career starts here! List of career guide courses included in Leadership Management & High-Performing Team Management With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Understand situational leadership for adaptive managerial approaches. Develop a personal inventory for effective self-awareness and leadership. Inspire shared visions and challenge conventional processes with confidence. Acquire essential influencing and negotiation skills for successful leadership. Master stress management and mental health strategies for team well-being. Handle the challenges of virtual team leadership and managing risks. ________________________________________________________________________ Accreditation All of our courses, including this Course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Course, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring and current leaders seeking comprehensive leadership skills. Professionals aiming to enhance team performance and synergy. Individuals eager to master effective communication and negotiation. those seeking knowledge in workplace mental health and handling stress. Anyone aspiring to lead virtual teams and effectively manage change. Career path Team Leader - £28K to 45K/year. HR Manager - £35K to 60K/year. Change managing Specialist - £40K to 70K/year. Communication Manager - £30K to 50K/year. Risk Analyst - £25K to 45K/year. Certificates 11 CPD Accredited e-Certificates Digital certificate - Included 11 CPD Accredited Hard Copy Certificates Hard copy certificate - Included
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
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Overview of Maintenance Manager The Maintenance Manager course is designed to help you become a skilled professional in the growing field of facilities management. With the UK facilities management sector contributing over £120 billion each year, Maintenance Managers are in high demand. This course covers everything you need to know, from basic handyperson tasks to advanced electrical work and risk assessments. Whether you’re fixing plumbing issues, troubleshooting appliances, or learning carpentry, this course gives you the practical skills to succeed. As buildings become more complex, the role of a Maintenance Manager becomes even more important. You’ll learn how to handle a wide variety of maintenance tasks, including electrical work, construction projects, and health and safety protocols. This knowledge ensures that you are ready to take on challenges in both residential and commercial properties. You will be able to carry out repairs and improvements that meet the latest regulations and safety standards. Qualified Maintenance Managers are highly valued, and with the knowledge and skills you develop in this course, you will be prepared to manage maintenance tasks efficiently and effectively. With training in essential areas like plumbing, electrical systems, and safety compliance, this course positions you for success in a fast-growing industry where the demand for qualified professionals is rising. By the end of the Maintenance Manager course, you will be able to: Master practical plumbing and carpentry techniques for effective maintenance. Apply health and safety standards to all maintenance tasks. Perform basic electrical repairs while adhering to safety regulations. Gain skills in painting, decorating, and floor installations. Carry out risk assessments for maintenance activities accurately. Install and repair common household appliances and fixtures. Who is this course for Property managers looking to enhance their maintenance skills and save on outsourcing costs. Facilities supervisors who want to improve their technical knowledge of building systems and repairs. Building caretakers aiming to expand their abilities and take on more responsibilities. DIY enthusiasts interested in formalising their knowledge and transitioning to a professional maintenance career. Career changers seeking a solid foundation in maintenance management to enter the field. Process of Evaluation After studying the Maintenance Manager Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Maintenance Manager Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don't need any educational qualification or experience to enrol in the Maintenance Manager course. Career Path After completing the Maintenance Manager course, you can explore roles such as: Maintenance Manager - £35K to £50K/year Facilities Coordinator - £25K to £38K/year Building Services Supervisor - £30K to £45K/year Estate Maintenance Officer - £28K to £42K/year Property Maintenance Manager - £32K to £48K/year Course Curriculum Module 01: Introduction To Handyperson 00:20:00 Module 02: Basic Tools And Equipment 00:22:00 Module 03: Plumbing Skills 00:19:00 Module 04: Appliances 00:18:00 Module 05: General Carpentry 00:26:00 Module 06: Basic Maintenance Skills 00:14:00 Module 07: Walls And Floors 00:19:00 Module 08: Painting And Decorating 00:17:00 Module 09: Drilling, Tiling And Welding 00:22:00 Module 10: Construction Projects 00:15:00 Module 11: Health and Safety at Work 00:27:00 Module 12: Electrical Work 00:23:00 Module 13: Working Safely With Electrical Equipment 00:17:00 Module 14: Electrical Incidents 00:10:00 Module 15: Risk Assessment 00:23:00 Module 16: Reducing And Controlling Risks 00:21:00 Module 17: Combined Inspection And Testing 00:37:00
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