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Physiotherapy: Physiotherapy Course Online As a physiotherapy professional, do you want to alleviate pain and improve people's quality of life? You will get crucial knowledge to begin your physiotherapy career with this Online Physiotherapy: Physiotherapy Course. Throughout the Online Physiotherapy: Physiotherapy Course, you will discover the various reasons why physiotherapy is beneficial. This online physiotherapy course may teach you how physiotherapy helps individuals of all ages, from babies to the elderly. Moreover, the Online Physiotherapy: Physiotherapy Course explains physiotherapy and other types of treatment for illnesses and injuries. This online Online Physiotherapy: Physiotherapy Course also covers building professional routes, assembling evidence, and obligations and responsibilities. If you're wanting to change careers or just want to learn something new, sign up for this Online Physiotherapy: Physiotherapy Course! Main Course: Physiotherapy Course Free Courses included with Physiotherapy: Physiotherapy Course: Along with Physiotherapy Course you will get free Aromatherapy Course Along with Physiotherapy Course you will get free Reflexology Course Along with Physiotherapy Course you will get free Cupping Course Along with Physiotherapy Course you will get free Sports Massage Course Special Offers Of this Physiotherapy: Physiotherapy Course This Physiotherapy Course includes a FREE PDF Certificate. Lifetime access to this Physiotherapy Course Instant access to this Physiotherapy Course 24/7 Support Available to this Physiotherapy Course Physiotherapy: Physiotherapy Course Online You will learn about the many justifications for physiotherapy throughout the Online Physiotherapy: Physiotherapy Course. You may learn how physiotherapy benefits people of all ages, from newborns to elders from this online Physiotherapy: Physiotherapy Course. The Online Physiotherapy Course covers various forms of treatment and physiotherapy for diseases and injuries. This Online Physiotherapy: Physiotherapy Course also explains duties and responsibilities, gathering evidence, and creating professional pathways. Who is this course for? Physiotherapy: Physiotherapy Course Online This is useful Online Physiotherapy: Physiotherapy Course for people who like collaborating with others and lending a hand to those in need. Requirements Physiotherapy: Physiotherapy Course Online To enrol in this Physiotherapy: Physiotherapy Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Physiotherapy: Physiotherapy Course. Be energetic and self-motivated to complete our Physiotherapy: Physiotherapy Course. Basic computer Skill is required to complete our Physiotherapy: Physiotherapy Course. If you want to enrol in our Physiotherapy: Physiotherapy Course, you must be at least 15 years old. Career path Physiotherapy: Physiotherapy Course Online This Online Physiotherapy: Physiotherapy Course will help you work as a massage therapist, exercise coach, care home manager, or sports center—fields where physiotherapy is helpful.

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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

Estimating for Business Analysts: Virtual In-House Training A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?

Managing Stress and Building Resilience: Virtual In-House Training Stress has an impact on all of us at some point in our professional lives. Learning how to manage stress and build resilience will result in higher professional productivity, better health, and more sustainable living habits. It will also help us create a physical - and emotional - work-life balance. In this one-day workshop, you will learn practical solutions to sustain behavior change that can positively impact your life on both a professional and personal level. When you are able to reduce the level of negative stress that affects you, your performance improves, along with your health and happiness. The objective of this course is therefore not only to create awareness around emotional well-being in a work context, but also to help participants create a better overall balance between the investment they make in their personal and professional lives. This course covers how our perceptions affect our beliefs and how our beliefs affect our actions. You will learn a host of stress-reduction techniques, while exploring your own stress triggers and responses. Highly interactive, the sessions cover a blend of theory, discussions, and exercises. You will explore concepts with fellow participants within a safe environment where skills and habits can be developed, sharpened, and improved. What You Will Learn At the end of this program, you will be able to: Identify what stress feels like and what the typical symptoms and reactions are to stress Analyze your own responses to stressful events and the consequences of those reactions Organize your work structure to reduce stress and build resilience Recognize activities that drain you and those that give you energy Generate relief from stressful events Cultivate a mindset of resilience Better manage your time, work commitments, and personal boundaries in order to be most effective at your job Getting Started What is stress? Beliefs and thinking errors Work-life balance Drainers and energizers Stress reduction techniques Time management Summary and Next Steps

Managing Stress and Building Resilience: In-House Training Stress has an impact on all of us at some point in our professional lives. Learning how to manage stress and build resilience will result in higher professional productivity, better health, and more sustainable living habits. It will also help us create a physical - and emotional - work-life balance. In this one-day workshop, you will learn practical solutions to sustain behavior change that can positively impact your life on both a professional and personal level. When you are able to reduce the level of negative stress that affects you, your performance improves, along with your health and happiness. The objective of this course is therefore not only to create awareness around emotional well-being in a work context, but also to help participants create a better overall balance between the investment they make in their personal and professional lives. This course covers how our perceptions affect our beliefs and how our beliefs affect our actions. You will learn a host of stress-reduction techniques, while exploring your own stress triggers and responses. Highly interactive, the sessions cover a blend of theory, discussions, and exercises. You will explore concepts with fellow participants within a safe environment where skills and habits can be developed, sharpened, and improved. What You Will Learn At the end of this program, you will be able to: Identify what stress feels like and what the typical symptoms and reactions are to stress Analyze your own responses to stressful events and the consequences of those reactions Organize your work structure to reduce stress and build resilience Recognize activities that drain you and those that give you energy Generate relief from stressful events Cultivate a mindset of resilience Better manage your time, work commitments, and personal boundaries in order to be most effective at your job Getting Started What is stress? Beliefs and thinking errors Work-life balance Drainers and energizers Stress reduction techniques Time management Summary and Next Steps

Hiring the right staff is one of the most important management and HR skills and it is critical to get it right. This course is designed for managers and HR specialists who either want to improve their interviewing skills or who are just now starting a recruitment role in the organisation.

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