8828 Confidence courses in Halstead delivered Online

Course Overview The “ADHD, SEN, Autism & Child Care” course bundle provides a comprehensive foundation in child psychology, special educational needs, and behavioural development, equipping learners with the theoretical knowledge needed to support children with diverse learning profiles. Through in-depth exploration of ADHD, autism, SEN coordination, and cognitive development, this course delivers a solid understanding of how to promote inclusive, supportive learning environments. Learners will gain insight into developmental psychology, behavioural management strategies, and therapeutic practices such as play therapy and CBT. Designed for those aspiring to work in educational or care-based settings, this course helps develop confidence in navigating neurodiversity and child-centred support frameworks. On successful completion, learners will be better positioned to contribute meaningfully in child care, education support, or mental health-focused roles. Course Description This course bundle covers a wide range of topics essential for understanding and supporting children with additional needs. Learners will begin with ADHD awareness and expand into SEN coordination, gaining a clear picture of how to support children with learning difficulties in educational environments. Autism training and SEN teaching assistant modules explore common challenges and support methods, while the Child Psychology and Child Development modules deepen the understanding of emotional, cognitive, and social growth. The course also includes specialised training in CBT and play therapy, providing psychological frameworks for child-focused support. Each module is designed to enhance your theoretical understanding, helping you recognise behavioural patterns, develop care strategies, and work within inclusive educational or care frameworks. This course is suitable for aspiring professionals and those already working in education, childcare, or youth support roles who want to expand their expertise in SEN and child psychology. Course Modules: Module 01: ADHD Awareness Module 02: SENCO - Special Educational Needs Coordination Course Module 03: Autism Training Module 04: SEN Teaching Assistant Module 05: Child Psychology Diploma Module 06: Child Development and Care Module 07: Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course Module 08: Play Therapy (See full curriculum) Who is this course for? Individuals seeking to understand and support children with additional needs. Professionals aiming to advance their skills in educational or childcare settings. Beginners with an interest in child psychology, SEN, or developmental support. Teaching assistants, youth workers, and child care practitioners seeking career development. Career Path SEN Teaching Assistant Child Care Worker Youth Support Worker Behavioural Support Specialist Child Psychology Assistant Autism or ADHD Support Advisor Early Years Practitioner Learning Support Mentor

Course Overview This all-inclusive Mechanic Training – Car & Bike Maintenance course bundle is designed for those looking to build a strong foundation in vehicle servicing, maintenance, and diagnostics. Covering both two-wheelers and four-wheelers, this programme equips learners with essential knowledge across mechanical systems, fault detection, and routine upkeep. Whether you're looking to understand how engines operate, explore electrical and hybrid systems, or develop expertise in both traditional and modern vehicles, this training provides a diverse skill set tailored for today’s automotive industry. Upon completion, learners will have the theoretical knowledge to approach mechanical challenges confidently and pursue opportunities in various vehicle maintenance settings. With a structured curriculum and recognised certification, this course opens the door to a range of motor industry roles across garages, dealerships, and service centres. Course Description This comprehensive training package combines eight specialist courses that cover vital areas of automotive engineering and vehicle maintenance. Learners will explore key concepts in car and motorbike servicing, mechanical engineering, MET work, onboard diagnostics, and hybrid vehicle systems. The course also delves into bicycle maintenance and two-wheeler servicing to ensure a well-rounded understanding of all vehicle types. Each module is structured to guide learners through essential maintenance processes, diagnostic techniques, and component assessments. The learning experience is enriched with clear explanations, technical insights, and job-relevant scenarios. Whether preparing for a career in vehicle maintenance or aiming to broaden your automotive knowledge, this bundle offers a flexible and accessible route to developing industry-relevant skills. Learners will gain confidence in understanding engine systems, suspension setups, braking mechanisms, and electrical components essential for today’s automotive sector. Course Modules Module 01: Mechanical Engineering Module 02: Car Mechanic Training Module 03: Motorbike Maintenance Module 04: Bicycle Maintenance Course Module 05: Automotive Engineering: Onboard Diagnostics Module 06: MET Technician Module 07: Hybrid Vehicle Expert Training Module 08: Certificate Course In Two Wheeler Servicing (See full curriculum) Who is this course for? Individuals seeking to develop technical knowledge in vehicle maintenance. Professionals aiming to expand into multi-vehicle service roles. Beginners with an interest in automotive engineering or vehicle repair. Career changers looking to enter the motor industry. Career Path Car Mechanic Motorbike Technician MET Technician Diagnostic Specialist Hybrid Vehicle Specialist Bicycle Technician Automotive Service Advisor Vehicle Systems Analyst

Course Overview The Basics of Dog Grooming course offers a comprehensive introduction to the essential principles and practices of grooming dogs effectively and safely. Designed to equip learners with a strong foundation, this course explores every aspect of the grooming process, from the historical importance of grooming to modern health assessments and the correct use of grooming tools. By completing this course, learners will develop the confidence and knowledge to approach dog grooming with professionalism and care. The practical value lies in understanding how grooming contributes to animal wellbeing, hygiene, and overall appearance. Learners will gain insights into basic grooming techniques, handling grooming-related emergencies, and maintaining high standards of safety and comfort for pets. Whether for personal development or professional ambition, this course lays the groundwork for future expertise in dog grooming, enhancing career prospects and personal enrichment. Course Description The Basics of Dog Grooming course delves deeper into the knowledge and techniques required for effective grooming practices. It begins with an exploration of the history and purpose of grooming, highlighting its role in maintaining canine health and appearance. Learners will progress through essential topics such as conducting pre-grooming health assessments, preparing the grooming area, and selecting the appropriate tools and equipment. The course then covers core grooming techniques, providing guidance on coat maintenance, nail trimming, and ear cleaning. Attention is also given to managing grooming emergencies, ensuring that learners are prepared for unexpected challenges. Throughout the course, participants will build key competencies needed to support canine welfare, hygiene, and presentation. Delivered in a clear and structured format, the course ensures learners gain the theoretical understanding necessary to pursue further training or entry-level roles within the dog grooming industry. Course Modules Module 01: History and Purpose of Dog Grooming Module 02: Pre-Grooming Health Assessment Module 03: Prepping the Grooming Area Module 04: Required Tools and Equipments for Grooming Module 05: Basic Grooming Techniques Module 06: Grooming Emergencies (See full curriculum) Who is this course for? Individuals seeking to enhance their knowledge of dog grooming and pet care. Professionals aiming to strengthen their foundational skills within the animal care industry. Beginners with an interest in entering the field of dog grooming and canine wellbeing. Pet owners looking to better understand grooming practices for their own dogs. Career Path Dog Grooming Assistant Professional Dog Groomer (after further study and certification) Pet Care Specialist Animal Welfare Worker Canine Beauty Consultant Pet Spa or Grooming Salon Employee

Course Overview The Payroll Management Course provides a comprehensive introduction to the critical processes involved in managing employee compensation and workforce planning. Designed to equip learners with both theoretical knowledge and practical frameworks, this course explores essential aspects such as resourcing, talent management, job analysis, and employer branding. Through a structured learning experience, learners will develop an in-depth understanding of how effective payroll and talent strategies contribute to organisational success. Whether advancing within an existing role or preparing for a new career, participants will emerge with the confidence to manage payroll processes in alignment with broader human resource strategies. By the end of the course, learners will have a strong foundation to support organisational compliance, drive employee engagement, and contribute to business objectives through proficient payroll and resource planning. Course Description This Payroll Management Course delves into key areas vital to successful HR and payroll operations, from resourcing and talent management to performance evaluation and employer branding. Throughout the modules, learners will engage with topics such as talent planning, coaching and development, job analysis and design, and the identification of improvement opportunities within talent management systems. The course promotes a thorough understanding of how payroll intersects with broader human resources functions, providing learners with critical insights into creating effective workforce plans. Skills in workforce strategy, talent retention, and employer branding are emphasised, enabling participants to approach payroll management with a strategic and analytical mindset. Designed with clear progression and accessible learning materials, the course prepares learners to apply industry-relevant knowledge confidently in organisational settings, strengthening their professional development and career prospects. Course Modules Module 01: Introduction to Resourcing and Talent Management Module 02: Resourcing and Talent Planning Module 03: Talent Management and The Role of Recruiting Module 04: Coaching, Training and Development Module 05: Performance Management Module 06: Benefits of Talent Management Module 07: Planning Human Resources Module 08: Job Analysis and Design Module 09: Employer Branding Module 10: Improvement Opportunities of Talent Management System (See full curriculum) Who is this course for? Individuals seeking to build expertise in payroll and workforce planning. Professionals aiming to enhance their career prospects within human resources or payroll departments. Beginners with an interest in employee management and compensation processes. Business owners and managers wishing to strengthen their internal HR practices. Career Path Payroll Administrator HR Officer Talent Acquisition Specialist Workforce Planning Coordinator Human Resources Manager Compensation and Benefits Analyst Employer Branding Specialist HR Strategy Consultant

Course Overview The Fashion and Lifestyle Blogging course is designed to equip aspiring bloggers with the essential knowledge, strategies, and inspiration to succeed in the vibrant digital landscape. From setting up a blog to curating compelling content and engaging audiences across social platforms, learners will explore the full blogging journey. This course emphasises brand building, collaboration opportunities, and monetisation strategies, offering real-world insights into navigating the blogging industry. Upon completion, learners will be able to create, manage, and promote a professional blog with a confident understanding of personal branding, photography, networking, and industry partnerships. Whether aiming to establish an independent blog or to enhance a professional portfolio, learners will gain skills that are transferable across the broader fields of media, marketing, and communications. Course Description This comprehensive course in Fashion and Lifestyle Blogging provides an in-depth exploration of the key elements required to build a successful blog. Learners will be guided through the foundations of blogging, content creation techniques, photography essentials, and social media engagement strategies. Special attention is given to networking, brand collaboration, and monetisation opportunities, empowering learners to transform their passion into a sustainable presence. The course also covers branding principles and offers pathways for continued growth within the blogging sphere. Through structured modules, participants will acquire a thorough understanding of the digital environment and sharpen their skills in storytelling, image curation, and community building. By the end of the programme, learners will possess the confidence to carve out a distinctive online identity and explore diverse opportunities within the dynamic worlds of fashion, lifestyle, and digital media. Course Modules Module 01: Blogging 101 Module 02: Starting Out and Setting Up Module 03: Content Creation Module 04: Photography and Imagery Module 05: Staying Social Module 06: Networking and Events Module 07: Working with Brands Module 08: Monetising Your Blog Module 09: Building a Brand Module 10: Growing as a Blogger Module 11: The Fashion and Lifestyle Blogger Roundup (See full curriculum) Who is this course for? Individuals seeking to build a professional presence in blogging. Professionals aiming to expand into the digital media and influencer sectors. Beginners with an interest in fashion, lifestyle, and online content creation. Creatives and entrepreneurs looking to establish or enhance their personal brand. Social media users wishing to transition into content creation careers. Career Path Fashion Blogger Lifestyle Content Creator Digital Marketing Assistant Brand Collaboration Coordinator Influencer Marketing Specialist Social Media Manager Creative Content Consultant PR and Communications Officer

Course Overview The Adobe Premiere Pro CC course is designed to provide learners with a comprehensive understanding of the software's advanced features, enabling them to create and edit professional-quality videos. Through this course, students will gain the essential skills to work efficiently with various multimedia elements, enhance their video editing techniques, and explore key tools such as colour correction, sound editing, and effects application. This course offers practical insights into working with Adobe Premiere Pro, equipping learners to create high-impact, visually appealing content. Upon completion, students will be proficient in all key aspects of video editing, ready to apply their skills in various industries such as film production, marketing, and online media. Course Description This Adobe Premiere Pro CC course takes an in-depth approach to mastering the video editing software. Learners will explore a range of topics, from setting up the workspace and understanding the interface to advanced techniques such as multi-camera editing, transitions, and colour grading. The course also covers sound editing, the use of effects, and tips for efficient workflows. Students will develop proficiency in editing both short and long-form content, ensuring that they are capable of handling a variety of editing tasks. With a focus on developing professional skills, learners will gain the confidence to use Adobe Premiere Pro CC for a wide array of video production needs. By the end of the course, learners will be well-equipped to produce polished video content for different platforms, making them highly marketable in the creative and media industries. Course Modules Module 01: Introduction to Adobe Premiere Pro CC Module 02: Setting up the Workspace and Interface Module 03: Importing and Organising Media Module 04: Basic Editing Tools and Techniques Module 05: Working with Audio Module 06: Transitions and Effects Module 07: Colour Correction and Grading Module 08: Advanced Video Editing Techniques Module 09: Multi-Camera Editing Module 10: Exporting and Rendering Video Projects Module 11: Working with Titles and Graphics Module 12: Final Project and Portfolio Development (See full curriculum) Who is this course for? Individuals seeking to enhance their video editing skills. Professionals aiming to develop expertise in video production. Beginners with an interest in video editing and media production. Creative individuals interested in improving their technical video editing abilities. Career Path Video Editor Content Creator Multimedia Specialist Film Production Assistant Digital Media Producer Marketing Video Editor Post-production Specialist

Course Overview The Hairdressing and Barbering course offers a comprehensive introduction to the key skills and techniques required in the hair and beauty industry. This course covers essential areas such as hair cutting, styling, and shampooing, providing learners with the foundation necessary for a successful career. By the end of the course, students will have a solid understanding of hairdressing and barbering practices, enabling them to deliver high-quality services. Learners will gain confidence in applying industry-standard techniques and develop a keen eye for customer service. Whether you are new to the field or looking to expand your knowledge, this course is designed to equip you with the necessary skills to thrive in the ever-evolving hairdressing and barbering sector. Course Description This course delves into key topics, including the fundamentals of hair cutting, various hair styling techniques, and the best practices for shampooing. Learners will explore different hair types, cutting methods, and modern styles to meet client needs. The course also highlights essential customer service skills and professional conduct in the hairdressing and barbering industry. The learning experience is structured to guide participants through theory and practice, ensuring that they not only understand the theory behind hairdressing techniques but also develop an appreciation for customer interaction, professionalism, and time management in a salon environment. The aim is to ensure that learners are well-prepared for future roles within the industry, ready to provide excellent services to clients. Course Modules Module 01: Introduction Overview of hairdressing and barbering industry Health and safety standards in the workplace Customer service expectations Module 02: Hair Cutting Techniques for different hair types Scissors and clippers usage Creating various haircuts and styles Module 03: Hair Styling Styling tools and products Creating various styles for different occasions Understanding client preferences and matching styles Module 04: Shampooing Proper techniques for washing and conditioning hair Scalp care and treatments Selecting the right products for different hair types (See full curriculum) Who is this course for? Individuals seeking to start a career in hairdressing and barbering Professionals aiming to enhance their hair styling skills Beginners with an interest in the hair and beauty industry Those looking to expand their customer service and salon management skills Career Path Hairdresser Barber Salon Assistant Freelance Stylist Customer Service Representative in Haircare

Course Overview This comprehensive course on "Complete After Effects for Graphic Design" is designed to equip learners with the skills necessary to use After Effects effectively in graphic design. Covering everything from creating visual effects and patterns to generating artwork from scratch, this course helps learners develop a deep understanding of After Effects tools and techniques. Learners will gain the confidence to create sophisticated animations and special effects that enhance their design projects. With practical lessons and a focus on industry-relevant skills, this course provides invaluable value to anyone looking to strengthen their graphic design capabilities using After Effects. Course Description In this course, learners will dive deep into the essential features of After Effects, including creating special effects, working with patterns and textures, and generating artwork from minimal input. The course takes a structured approach, starting with a solid introduction to After Effects, followed by advanced techniques for creating visually engaging content. By the end of the course, learners will be able to produce impressive animations and effects for use in graphic design projects. Throughout the course, learners will refine their understanding of animation principles and the software's advanced features, equipping them with the skills to implement creative ideas in a professional context. Course Modules Module 01: Introduction Introduction to After Effects interface Understanding key concepts in animation and motion design Navigating the timeline and workspace Module 02: Creating Special Effects Using effects and presets Creating cinematic effects for design Layering techniques and animation adjustments Module 03: Creating Patterns and Textures Working with textures and patterns Developing seamless loops and animated backgrounds Customising effects to suit design projects Module 04: Generating Artwork from (Almost) Nothing Techniques for generating artwork using basic shapes Exploring fractal animations and procedural design Using plugins to expand creative possibilities Module 05: Where to Go from Here Understanding next steps in advancing your After Effects skills Recommended resources for further learning Tips for building a professional portfolio (See full curriculum) Who is this course for? Individuals seeking to enhance their graphic design expertise. Professionals aiming to integrate animation and effects into their design projects. Beginners with an interest in digital design and animation. Designers wishing to improve their proficiency with After Effects. Career Path Graphic Designer Motion Graphics Designer Visual Effects Artist Animation Artist Digital Content Creator

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

Master venipuncture and dermal puncture techniques with our Phlebotomist Training course. Learn about blood circulation, composition, equipment usage, quality management, infection control, and more.