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  During this training course, delegates will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process. Based on practical exercises, you will learn audit techniques and become competent to manage an audit program, audit team, communication with customers, and understand reporting requirements. After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain the "Certified ISO 13485 Lead Auditor' Certificate. By holding this Certificate, delegates can demonstrate that they have the competencies to audit organizations based on best practices. About This Course   Learning Outcomes   Review a Medical Devices Quality Management System based on ISO 13485 Acknowledge the correlation between ISO 13485 and other standards and regulatory frameworks Understand an auditor's role to: plan, lead and follow-up on a management system audit in accordance with ISO 19011 Learn how to lead an audit and audit team Learn how to interpret the requirements of ISO 13485 in the context of a MDQMS audit Acquire the competencies of an auditor to: plan an audit, lead an audit, draft reports, and follow-up on an audit in compliance with ISO 19011   Course Agenda   Day 1: Introduction to Medical Devices Quality Management Systems (MDQMS) and ISO 13485 Day 2: Audit principles, preparation and launching of an audit Day 3: On-site audit activities Day 4: Closing the audit and final exam.   Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final essay style exam, consisting of 12 questions, 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   An understanding of ISO 13485 requirements and knowledge of audit principles. What's Included?   Certification fees are included on the exam price Training material containing over 500 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. Who Should Attend?   Auditors seeking to perform Medical Devices Quality Management System (MDQMS) certification audits Managers or consultants seeking to understand the Medical Devices Quality Management System audit requirements Individuals responsible for maintaining conformance with Medical Devices Quality Management System requirements Accreditation Provided by   This course is Accredited by NACS and Administered by the IECB

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Most of our students come to us specifically to improve their speaking and listening skills and we help them to do this by using the Callan Method (see below for further details). BSGS is an accredited Callan Method school. We provide experienced and friendly teachers. Moreover, our prices are very competitive!

Who is this course for? Film and Game Design Training Classes is tailored for individuals passionate about 3D for Games. Ideal for those in London seeking specialized skills for lucrative job opportunities in the gaming industry. Software we teach: 3ds max or Maya, Vray, After effects and Photoshop. Check our Website Duration: 40 hours. 1-on-1 Training. When can I book: 9 am - 4 pm (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking).  Course Title: Film & Game Design Training Classes Option A - 40-Hour Program: Option A offers comprehensive training for aspiring film and game designers, covering vital industry software and skills. Module 1: 3ds Max and Advanced Animation (20 hours) - Introduction to 3ds Max: Interface overview. - Basic 3D Modeling: Creating simple 3D objects. - Advanced 3D Modeling: Complex modeling techniques. - Texturing and Materials: Applying textures and materials. - Lighting and Rendering: Scene lighting and rendering setup. - Character Animation: Rigging and animating characters. - Advanced Animation Techniques: Keyframes, motion paths, and more. - Scene Composition: Assembling complex scenes. Module 2: Vray (6 hours) - Vray Introduction: Understanding Vray renderer. - Lighting with Vray: Creating realistic lighting setups. - Material Creation: Crafting materials for realistic surfaces. - Rendering with Vray: Optimization and execution. Module 3: Photoshop (6 hours) - Photoshop Basics: Navigating the interface. - Image Editing: Crop, resize, and enhance. - Layer Management: Working with layers. - Text and Typography: Adding and manipulating text. - Photo Manipulation: Advanced image techniques. - Creating Visual Assets: Designing textures and graphics. Module 4: After Effects: Video and Sound Editing (8 hours) - Introduction to After Effects: Interface overview. - Video Editing: Cut, trim, and arrange video clips. - Transitions and Effects: Apply visual effects and transitions. - Sound Editing: Add and edit audio tracks. - Motion Graphics: Create motion graphics and titles. - Exporting and Rendering: Prepare projects for final output. Film & Game Design Training Course Information Are you ready to explore our Training Course for Film & Game Designers? Here's a comprehensive overview to guide you through: When Can I Book This Training Course? Personalize your training with our flexible 1-on-1 sessions. Tailor your schedule by pre-booking your preferred hours. Available Monday to Saturday, 9 a.m. to 7 p.m. For phone bookings, call 02077202581. Training Duration The course spans 40 hours, allowing flexibility for your ideal schedule. Training Method Experience 1-on-1 training, in-person Face to Face or Live Online. Expect personalized attention, tailored content, flexible learning, and individual support. Opt for Live Online 1-on-1 sessions via Zoom for convenience. Enroll Today Ready to start your exciting journey? Click the link below to enroll in our 1-on-1 Course. Film & Game Design Training Overview In our comprehensive training program for film and game designers, refine your skills using industry-leading software tools. This prepares you to bring your creative visions to life. Option A: 3ds Max and Advanced Animation (20 hours) Vray (6 hours) Photoshop (6 hours) Aftereffects: Video and Sound Editing (8 hours) Option B: Maya and Advanced Animation (20 hours) Vray (6 hours) Photoshop (6 hours) Aftereffects: Video and Sound Editing (8 hours) Both options offer flexibility for Mac and Windows operating systems, ensuring accessibility for all learners. Key Benefits Price Assurance: Exceptional value for your film and game design career investment. One-on-One Training: Customized learning for your unique style. Flexible Scheduling: Choose your training time, available Monday to Sunday, 9 am to 8 pm. Lifetime Email and Phone Support: Ongoing assistance beyond training for your career growth. Computer Configuration Assistance: Guidance for seamless software installation. Referral Benefits: Special discounts for referrals and savings on group training. Embark on a transformative journey and unlock your potential in the thrilling fields of film and game design!

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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Talent Management & Employee Retention Techniques Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Talent Management & Employee Retention Techniques Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Talent Management & Employee Retention Techniques Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Talent Management & Employee Retention Techniques Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Talent Management & Employee Retention Techniques? 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 Talent Management & Employee Retention Techniques there will be a written assignment test which you can take either during or at the end of the course. 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 Talent Management & Employee Retention Techniques course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Talent Management & Employee Retention Techniques does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Talent Management & Employee Retention Techniques 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Talent Management & Employee Retention Techniques is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 1: Introduction Unit 1: Welcome to the Course 00:05:00 Unit 2: Course Highlights 00:03:00 Unit 3: Quick Activity 00:02:00 Section 2: Core Concepts Unit 1: What does Talent Management Mean 00:06:00 Unit 2: Steps for Talent Management Process 00:05:00 Unit 3: Meaning of Talent Acquisition 00:06:00 Unit 4: 4 Tips to Hire the Best Employees 00:06:00 Unit 5: Training & Developing Employees + Quick Tips 00:05:00 Unit 6: Why Companies Spend Million Dollars in Training & Development 00:04:00 Unit 7: Why Employee Retention is Important for a Company 00:03:00 Unit 8: Employee Retention Techniques 00:07:00 Section 3: Best Employee Retention Strategies That Actually Work Unit 1: Why These Strategies Are So Useful 00:01:00 Unit 2: 1st Retention Strategy 00:06:00 Unit 3: 2nd Retention Strategy 00:11:00 Unit 4: Quick Activity - Here's How to Use It 00:01:00 Section 4: Employee Benefits & Retention Strategies Used by World's Top Companies Unit 1: Section Introduction 00:01:00 Unit 2: How Google Takes Care of its Employees 00:12:00 Unit 3: How Microsoft Retains it's Employees 00:06:00 Unit 4: Key Takeaway 00:04:00 Section 5: Practical Tips to Retain Employees in Your Organisation Unit 1: Offer Quick Incentives 00:03:00 Unit 2: Show Career Growth 00:02:00 Unit 3: Praising & Rewarding 00:02:00 Unit 4: Make it Convenient 00:03:00 Unit 5: Sponsor Education 00:02:00 Section 6: Bonus Section: Building a Strong Relation with Employees Unit 1: 3 Words to Retain Your Best Employees 00:03:00 Section 7: Conclusion Unit 1: Conclusion 00:01:00 Resources Resources - Talent Management & Employee Retention Techniques 00:00:00 Assignment Assignment - Talent Management & Employee Retention Techniques 00:00:00

Wanna Be The Trusted Waxer That Everyone Raves About? Who is this course for? ​ This Level 6 Depilation course is designed for anyone looking to have a career in the waxing industry and allows for progression on to Intimate Waxing and Advanced Waxing Skills. SQA Level 6 Award in Depilation provides knowledge and practical competence in health & safety within the salon and waxing and is regulated by SQA. The strategy for delivery of this unit is based upon a combination of online theory, and autonomous learning, workshops and practical sessions. This is delivered over 6 sessions. The final stage is an assessment which is submitted to SQA and finally your certificate will be issued. In this unit you will develop the skills required to remove hair from various areas on the face and body. You will gain knowledge of skin and hair structure, hair growth, causes of excess hair growth, hair types, contra-indications, special care conditions and contra-actions. Your practical skills will be developed by consulting with clients to develop treatment plans then preparing for and performing depilation treatments You will give clients homecare and aftercare advice and evaluate the effectiveness of the treatment in relation to technique and product selection. You will demonstrate knowledge of and adherence to relevant health and safety procedures; appearance which reflects organisational and industry standards and effective communication and consultation techniques. You will be assessed by answering structured questions in closed-book conditions to demonstrate your understanding of essential knowledge relating to depilation and will be observed carrying out depilation treatments on a minimum of six areas of the face and body on four different clients. Two of the performances must demonstrate multiple treatment areas. Treatment areas must include Face: upper lip and eyebrow; Body: underarms and bikini; Limbs: half leg and full leg. An assessor observation checklist must be used to provide evidence of performance supported by an accurately completed client consultation record completed by the learner. Practical performance must be carried out in a commercially acceptable time. Key areas of knowledge will be: Structures of the skin Hair structure Hair growth cycle Hair types Causes of excess hair growth Ingrown hairs Contra-indications Contra-actions Personal preparation Consultation techniques Reasons for consultation Client confidentiality Treatment planning Treatment environment preparation Equipment preparation Current waxing techniques — warm and hot wax Correct application and removal methods Product selection Skin sensitivity testing When and how to trim over-long hair Treatment areas: face, body, limbs Client preparation and positioning Client comfort and safety Waste disposal Commercial timing Time management Relevant current Health and safety legislation After care and homecare advice Methods used to evaluate the effectiveness of the depilation technique Self-evaluation ​​ Aspects of the Core Skill of Problem Solving, that is, Planning and Organising, Critical Thinking, and Reviewing and Evaluating, will be naturally developed as the depilation treatment is planned and safely undertaken. In planning the treatment you will identify and analyse a range of factors including suitable products, equipment and techniques to ensure the treatment meets the needs of each individual client. The treatment application must ensure client comfort and safety. Compliance with health and safety legislation is integral to achievement. Communication skills are not formally assessed however you will be expected to present oral and written communication to an acceptable professional standard. Oral communication skills will be developed in practical work with clients when interaction must be professional, sensitive and empathic. Communicating appropriate information to clients, explaining and reassuring during treatment sessions and giving aftercare advice and homecare advice will be an essential aspect of competence. You should be fully aware of a range of active listening techniques in order to relate and respond to others in the most appropriate and effective way, adapting language, register and style to suit their purpose and clientele. In addition to the specific vocational skills developed and assessed you will have the opportunity to develop generic skills which will enhance their employability skills profile, eg customer care skills, communication skills, time management. The SQA Level 6 Depliation is a practical and knowledge based qualification. It is aimed at equipping therapists with skills required for work in salons, destination/day spas and cruise ships. The units have been identified by employers as the most appropriate for working as a beauty therapist however, there are many CPD courses that can enhance the skills learnt and provide new techniques to ensure that the qualified therapist remains current and at the forefront of the industry

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

Mediation for Managers Training

People Management course is designed for new and aspiring line managers or companies that want to provide employees with people management skills. Such Skills provide an excellent opportunity to gain the skills and knowledge you'll need to advance in your career. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. The course will provide you with the relevant skills that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Stepping into a manager position for the first time represents the single most important step in any ongoing career path. However, climbing the ladder from entry-level workforce member to a position of responsibility is never easy. Doing so means first proving yourself as a figure of leadership and authority. A reliable and capable manager who can be turned to for guidance, delegation and direction. Fulfilling a manager's position means taking on significant responsibility. Organisations at every level are fundamentally dependent on effective People Management teams to drive key operations and the workforce as a whole. Nevertheless, to succeed in People Management is to become the single most valuable and prestigious professional commodity. Managing Skills has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. Our course has interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take the course Is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them and solve all your queries through email and chat boxes. What will you achieve? By the end of thiscourse, you'll be able to... Explore elements of People Management absence and support employees returning to work Assess the current labour market conditions and trends for your organisation to improve People Management techniques. Explore good practices in managing people. Describe effective ways of managing people. Explore approaches to managing people. Discuss the need to maintain a healthy workforce Reflect on your own managing style ****Course Curriculum**** Module One: Key Concepts (I) Module Two: Key Concepts (II) Module Three: Initiation (I) Module Four: Initiation (II) Module Five: Planning (I) Module Six: Planning (II) Module Seven: Planning Tools Module Eight: Executing the Project Module Nine: Maintaining and Controlling the Project Module Ten: Closing Out Assessment Process Once you have finished the learning stages in this course, your abilities will be assessed by an automated multiple-choice question session, after which you will receive the results immediately. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course has been professionally designed for motivated learners who are looking to add a new skill to their CV and stand head and shoulders above the competition. Learn the latest industry-specific information with this course. Enrol on People Management Skills and learn a new professional skill from anywhere, at any time! Requirements Enrol on the Pcourse with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register for this course without any delay. We only ask that all students have a passion for learning and literacy and be over the age of 16. Complete this course online from your computer, tablet, or smartphone, and learn in a way that suits you. Certificates Certificate of completion Digital certificate - £10