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Overview This comprehensive course on Leadership & Management: Interpersonal Skills will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Leadership & Management: Interpersonal Skills comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Leadership & Management: Interpersonal Skills. It is available to all students, of all academic backgrounds. Requirements Our Leadership & Management: Interpersonal Skills is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 12 sections • 12 lectures • 01:41:00 total length •What are Soft Skills?: 00:09:00 •Communication: 00:06:00 •Teamwork: 00:06:00 •Problem-Solving: 00:06:00 •Time Management: 00:07:00 •Attitude and Work Ethic: 00:07:00 •Adaptability/Flexibility: 00:06:00 •Self-Confidence (Owning It): 00:08:00 •Ability to Learn From: 00:06:00 •Networking: 00:06:00 •Employee Relations: 00:15:00 •Motivation and Counselling: 00:19:00

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course are persons who are new to reporting with Microsoft© SQL Server© Report Builder and SSRS, persons who are transitioning from another reporting software application, and persons who are existing Report Builder and SSRS report authors. Overview Navigate the Report Builder Environment. - Create table reports. - Format reports. - Create basic and complex expressions. - Group report data. - Create matrix reports. - Sort and filter data. - Summarize data with charts. - Print and export reports. In this course, students will continue their learning on the foundations of report writing with Microsoft© SQL Server© Report Builder and SSRS. Prerequisites ?Familiarity with Windows. ?Creating and navigating folders. ?Opening programs. ?Manipulating windows. ?Copying and pasting objects. ?Formatting text. ?Saving files. 1 - Exploring the Report Builder Environment Introducing the Report Builder Environment Working with Existing Reports Lab 1: Exploring the Report Builder Application 2 - Adding Data to Table Reports Create Report Data Sources Create Report Datasets Work with the Tablix Data Region Create a Table Report Lab 1: Creating Table Reports 3 - Formatting Data and Creating Expressions in Reports Formatting Reports Sorting and Filtering Report Data Adding Data to a Dataset Creating Simple Expressions Creating Complex Expressions Lab 1: Formatting Reports 4 - Grouping Report Data Group Data in Reports Group Data Using an Expression Creating Subgroups and Group Aggregates Lab 1: Creating Reports with Groups and Aggregates 5 - Matrix Reports Creating and Modifying Matrix Data Regions Creating and Modifying Column Groups Lab 1: Creating Matrix Reports 6 - Charts Create and Modify Chart Wizard Reports Add Charts to Existing Reports Modify Charts in Reports Lab 1: Creating Charts and Chart Reports 7 - Printing and Exporting Reports Print Features and Print Options Export Reports Lab 1: Printing and Exporting Reports

Are you ready to take the next step in your career journey? Dive into the world of effective leadership and people management with our comprehensive Diploma on Leadership and People Management. Designed to empower you with the essential skills and knowledge needed to thrive in today's dynamic workplace, this diploma program is your gateway to success. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this leadership and people management diploma, learners focus on understanding themselves better, setting achievable goals, and mastering fundamental skills like influencing others positively. They explore the history and development of leadership styles, learning how to lead by example and inspire others toward a common vision. Encouragement and empowerment are emphasized, along with the importance of challenging existing processes to foster innovation and growth. Learners delve into situational leadership, understanding how to adapt their approach based on different circumstances and individuals. The curriculum aims to equip learners with practical tools and knowledge to effectively lead and manage people in various settings. Course Curriculum Module 01: A Personal Inventory Module 02: Setting Goals Module 03: Basic Influencing Skills Module 04: The Evolution of Leadership Module 05: Modeling the Way Module 06: Inspiring a Shared Vision Module 07: Encouraging the Heart Module 08: Enabling Others to Act Module 09: Challenging the Process Module 10: Situational Leadership Module 11: Getting Started Learning Outcomes: Analyze personal strengths to enhance leadership effectiveness and adaptability. Develop strategic goals aligned with organisational vision and objectives. Employ fundamental influencing techniques to foster positive team dynamics. Trace the historical progression of leadership theories and practices. Demonstrate leadership by example through ethical and authentic behaviour. Cultivate a compelling vision that motivates and aligns team members. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring leaders seeking foundational leadership skills. Managers aiming to enhance team collaboration and productivity. Professionals transitioning into leadership roles within their organisations. Individuals eager to develop a deeper understanding of leadership principles. Team leaders looking to inspire and empower their team members. Career path Team Leader Project Manager Human Resources Manager Operations Manager Business Development Manager Training and Development Specialist Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Explore the dynamic intersection of theory and practice in Disability Studies with our comprehensive course. Gain insights into social and cultural perspectives, examine the global landscape, and delve into health and well-being for people with disabilities. Join us to foster inclusivity, challenge norms, and advocate for a more equitable society. Embrace the diverse dimensions of disability with theoretical depth and practical applications. Enroll now for a transformative learning experience.

  During this training course, you will also gain a thorough understanding of the best practices of Medical Devices Quality Management Systems and be able to improve an organization`s overall performance by consistently providing safe and qualitative medical devices. After mastering all the necessary concepts of Medical Devices Quality Management Systems, you can sit for the exam and gain the "Certified ISO 13485 Lead Implementer' Certificate. By holding this Certificate, you will be able to demonstrate that you have the practical knowledge and professional capabilities to implement ISO 13485 in an organization.  About This Course   Learning Objectives Acknowledge the correlation between ISO 13485 and other standards and regulatory frameworks Master the concepts, approaches, methods and techniques used for the implementation and effective management of a MDQMS Learn how to interpret the ISO 13485 requirements in the specific context of an organization Learn how to support an organization to effectively plan, implement, manage, monitor and maintain a MDQMS Acquire the expertise to advise an organization in implementing Medical Devices Quality Management System best practices   Course Agenda Day 1: Introduction to ISO 13485 and initiation of a MDQMS Day 2: Plan the implementation of a MDQMS Day 3: Implementation of a MDQMS Day 4: MDQMS monitoring, measurement, continuous improvement and preparation for a certification audit, and the final exam. 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. Prerequisites   A fundamental understanding of ISO 13485 and comprehensive knowledge of implementation principles. What's Included?   Certification fees are included on the exam price Training material containing over 450 pages of information and practical examples will be distributed An attestation of course completion worth 32 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. In case of exam failure, you can retake the exam within 12 months for free Who Should Attend?   Managers or consultants involved in Medical Devices Quality Management Expert advisors seeking to master the implementation of a Medical Devices Quality Management System Individuals responsible for maintaining conformance with MDQMS requirements MDQMS team members Accreditation Provided by   This course is Accredited by NACS and Administered by the IECB

Interactive Presentation Skills, Presenting, Presentations, Presentation Skills,

Fabrics are the foundation of fashion design. They determine the look, feel, fit, and function of your garments. They also express your style, creativity, and personality. That is why it is essential for any fashion designer to have a thorough knowledge of fabrics and how to work with them. This course will teach you everything you need to know about fabrics for fashion design.  You will learn the basic concepts and terminology of fabrics, the different categories and sources of natural and synthetic fibres, the various types and techniques of fabric weaves and knits, the methods and effects of fabric finishes and treatments, such as dyeing, printing, bleaching, etc., the skills and strategies of fabric sourcing and selection, such as quality, cost, availability, etc., the role and impact of colour in fashion and textile, and the current and future trends of fabrics in fashion design. By the end of this course, you will have the knowledge and confidence to choose and use the best fabrics for your fashion design projects.

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

Highlights of the Course Course Type: Online Learning Duration: 30 minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about managing sickness and absence Understand the core competencies and principles of managing sickness and absence Explore the various areas of managing sickness and absence Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert manager or leader Managing Sickness and Absence This managing sickness and absence course is accredited by the CPD UK. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Employee absence can be costly in terms of both lost time and money. It impacts businesses, managers, and colleagues in ways that range from them having to take on extra work or undertake additional training, to experiencing additional stress and a drop in morale. This managing sickness and absence course will help you to understand the different types of absence and Identify ways of measuring absence. It covers why you should complete return-to-work forms and how to conduct effective return-to-work meetings. The managing sickness and absence course finishes off by explaining the formal processes involved in managing absence and how to apply appropriate policies. Who is this Course for? This comprehensive Managing Sickness and Absence course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this managing sickness and absence can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Managing Sickness and Absence course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Managing Sickness and Absence course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This Managing Sickness and Absence course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Module 1: The Costs and Impact of Employee Absence Module 2: Measuring and Managing Employee Absence Module 3: Legislation, Processes, and Pay Obtain Your Certificate Order Your Certificate of Achievement 00:00:00