23012 Industry courses in Cardiff delivered On Demand

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

Childcare management is only possible if you are well-informed about different child topics such as child behavior and development. Take this opportunity to learn from this course to gain more knowledge on how to take care of a child. You are guaranteed that from this Online Diploma in Nannying and Childcare you will gain the right knowledge and confidence to be employed in the childcare industry. Your future employer will surely be impressed with your advance knowledge on child care and development. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion at an additional cost Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat Online Diploma in Nannying and Childcare has been given CPD accreditation and is one of the best-selling courses available to students worldwide. This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Online Diploma in Nannying and Childcare is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at anytime. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £18,800. The sky really is the limit. Course Curriculum Nannying What is a Nanny? 00:30:00 Time Management for Nannies 00:15:00 A Day in the Life of Martha, the Nanny 00:30:00 Caregiver and Team Player 00:15:00 It Takes a Village to Raise a Child 00:15:00 The Nanny's Job Profile 00:15:00 Meet the Needs of the Child 01:00:00 Childcare Child Care Guidelines 00:30:00 Outdoor Safety 00:15:00 Plants That Poison 00:15:00 Guidelines for Food Preparation and Handling 00:30:00 Changing Diapers 00:30:00 Symptoms of Illness 00:30:00 Taking Care of Babies Baby Products For Bath 00:30:00 Tips To Manage Your Baby Sleeping Schedules 00:30:00 Baby Weaning Difficulties And Tips To Cope With It 00:30:00 Choosing The Right Baby Care 00:30:00 Choosing The Right Baby Formula 00:30:00 Coping With Colic 00:30:00 Diaper Rash Help 00:30:00 Feeding Schedules Tips to Get it Right 00:30:00 How To Get Rid Of A Pacifier 00:30:00 Premature Baby Help 00:30:00 Reading To Baby 00:30:00 Reducing Baby's Risk Of Choking 00:30:00 Safety Measures For Food Borne Illnesses 01:00:00 The Benefits of Breastfeeding 00:30:00 Why Do Babies Cry 00:30:00 Baby Car Seat Buying Tips 00:30:00 When You Spot Something Wrong 00:30:00 Baby Care and Breastfeeding 00:30:00 Baby Care And Television 00:15:00 Baby Hazards: Be Careful Or You May Not Know 00:30:00 Baby Pacifiers: Yes Or No 00:30:00 What's In The Nursery 00:30:00 Baby Bathing Is This Hard To Do 00:30:00 5 Things To Keep In Mind With Baby Care 00:30:00 Babies At Work Good Or Bad 00:15:00 Baby Care Bonding Time With My First Baby 00:30:00 Communicating With My First Baby 00:30:00 Fashion Tips For My First Baby 00:30:00 How To Change My First Baby's Diaper 00:30:00 My First Baby Essentials 00:30:00 My First Baby Feeding Guide 00:30:00 My First Baby Learning The Basics 00:30:00 My First Baby: Understanding The Crying Game 00:30:00 Nutritious Bites For My First Baby 00:30:00 The Joys And Angst Of Holding My First Baby 00:30:00 Mock Exam Mock Exam - Online Diploma in Nannying and Childcare 00:30:00 Final Exam Final Exam - Online Diploma in Nannying and Childcare 00:30:00

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The Special Educational Needs Teaching Assistant Diploma is a professional qualification focussed on the practical application of theoretical knowledge. You will gain knowledge of classroom methodologies, communication skills for teaching and how to safeguard children, along with role-specific competencies such as the SEN code of practice, understanding learning difficulties, supporting children on the autistic spectrum, and managing ADHD and dyslexia in the classroom. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. Who is the course for? Educators who want to improve their interactive teaching course. People who have an interest in teaching and studying. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Module 1: Fundamentals of Teaching Understanding the Development of Children and Young Person 01:00:00 Communication and Professional Relationships with Pupils and Family 01:00:00 Safeguarding the Welfare of Children and Young Person 01:00:00 Module 2: Teaching in UK Teaching in the UK 00:10:00 Teachers' Standards in UK 00:10:00 Teachers Pay 00:30:00 The English School System 00:10:00 Evaluation of Schools and Teachers 00:30:00 School Governance 00:15:00 Inclusive Teaching 00:15:00 Module 3: Teacher Training Module 01: Getting Started 00:22:00 Module 02: Understanding Training and Facilitation 00:25:00 Module 03: Gathering Materials 00:12:00 Module 04: Creating a Lesson Plan 00:15:00 Module 05: Choosing Activities 00:15:00 Module 06: Preparing for the Workshop 00:10:00 Module 07: Getting Off on the Right Foot 00:10:00 Module 08: Delivery Tips and Tricks 00:30:00 Module 09: Keeping it Interactive 00:08:00 Module 10: Dealing With Difficult Participants 00:12:00 Module 11: Tackling Tough Topics 00:16:00 Module 12: Wrapping Up 00:12:00 Activities 00:00:00 Module 4: Teaching Methodologies Education - A Group Enterprise 00:20:00 Traits to Develop 00:30:00 Grow the Attention 00:30:00 Learning Good Habits 00:25:00 Importance of Memory 00:30:00 Imagination is Important 00:16:00 Breakdown of Thinking Process 00:30:00 Appreciation - An Aesthetic Emotion 00:20:00 Learning Reflexive Activities 00:35:00 Differing Individuals 01:00:00 Morality Matters 00:30:00 Different Learning Methods 00:15:00 Different Psychological Exercises 00:30:00 Problems, Situations & Solutions 00:20:00 Measuring the Achievements 01:00:00 Module 5: Psychology of Teaching Why Young People Do Not Learn to Study Properly? 00:20:00 The Nature of Study, and Its Principal Factors 00:30:00 Provision for Specific Purposes, as One Factor of Study 00:40:00 The Supplementing of Thought, as a Second Factor of Study 00:15:00 The Organization of Ideas, as a Third Factor in Study 00:30:00 Judging of the Soundness and General Worth of Statements, as a Fourth Factor in Study 00:25:00 Memorizing, as a Fifth Factor in Study 02:00:00 The Using of Ideas, as a Sixth Factor in Study 00:25:00 Provision for a Tentative Rather Than a Fixed Attitude Toward Knowledge, as a Seventh Factor in Study 01:00:00 Provision for Individuality, as an Eighth Factor in Study 00:15:00 Full Meaning of Study: Relation of Study to Children and to the School 00:15:00 Module 6: SEN Teaching Introduction to Special Educational Needs (SEN) 00:05:00 Understand Constructivism in the Classroom and know your role as a teacher 00:10:00 SEN Code of Practice 00:15:00 Get an understanding on SENCO 00:10:00 Classroom Management Strategies for Children with Special Needs 00:05:00 Physical Difficulties, Sensory Difficulties, Cognitive Impairments of Pupils 00:10:00 How to Deal with Pupils with Autism 00:10:00 Understanding Learning Difficulties 00:10:00 Anger Management Methods for Pupils With Special Needs 00:10:00 Teaching Children with Down Syndrome 00:10:00 Conclusion SEN 00:05:00 Module 7: SEN in USA INTRODUCTION to SEN USA 02:00:00 PRINCIPLES OF SPECIAL EDUCATION 01:00:00 SEN CURRICULUM 01:00:00 SEN TEACHING 01:00:00 CONCLUSION to SEN USA 00:15:00 Module 8: ADHD What is ADHD? 00:05:00 Causes of ADHD 00:05:00 Diagnosing ADHD 00:05:00 Treating ADHD 00:05:00 ADHD and Education 00:05:00 Reasonable Adjustments: ADHD 00:10:00 Adults with ADHD 00:10:00 Module 9: Dyslexia What is Dyslexia? 00:10:00 Identifying Dyslexia 00:05:00 Co-occurring Conditions 00:05:00 Diagnosing Dyslexia 00:05:00 Creating Dyslexia Friendly Environment 00:05:00 Solutions for Dyslexia 00:30:00 Module 10: Dealing with Troubled Children YOU AND YOUR CHILD STUDY 01:30:00 THE PROBLEM OF PUNISHMENT 00:30:00 WHEN YOUR CHILD IMAGINES THINGS 00:30:00 WHY KIDS LIE AND WHAT TO DO ABOUT IT 01:00:00 BEING AFRAID 00:30:00 THE FIRST GREAT LAW 00:30:00 THE TRAINING OF THE WILL 01:00:00 HOW CHILDREN REASON ABOUT FUTURE 00:30:00 WORK AND PLAY 01:00:00 CHILDREN'S GANGS, CLUBS, AND FRIENDSHIPS 00:15:00 CHILDREN'S IDEALS AND AMBITIONS 01:00:00 THE STORK OR THE TRUTH 00:30:00 THE GOLDEN AGE OF TRANSITION 00:15:00 HEREDITY AND ENVIRONMENT 01:00:00 FREEDOM AND DISCIPLINE 00:15:00 Mock Exam Mock Exam- Advanced Diploma in Teaching 00:30:00 Final Exam Final Exam- Advanced Diploma in Teaching 00:30:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

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