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ThisCriminal Psychology and Forensic Psychiatry course is for SPANISH Speaking People This Spanish Criminal Psychology and Forensic Psychiatry course is perfect for anyone from Criminal Psychologist to Intelligence Analysts. Criminal psychology isn't just about profiling criminals; it's about understanding the underlying motivations, behaviours, and thought processes that drive individuals to commit crimes. Our course offers a comprehensive exploration of the psychological theories and principles behind criminal behaviour, shedding light on the inner workings of the most perplexing criminal minds. According to Prospects a Criminal Psychologist can roughly earn from £30,000 to £50,000 in a year depending on experience, location and other factors. Enroll now and take on a fascinating exploration of the human psyche and the world of crime. Your journey into the depths of criminal psychology and forensic psychiatry awaits! Translated in Spanish: Este curso de Psicolog��a Criminal y Psiquiatr��a Forense en espa��ol es perfecto para cualquier persona, desde psic��logos criminales hasta analistas de inteligencia. La psicolog��a criminal no se trata s��lo de perfilar a los delincuentes; se trata de comprender las motivaciones, comportamientos y procesos de pensamiento subyacentes que llevan a las personas a cometer delitos. Nuestro curso ofrece una exploraci��n integral de las teor��as y principios psicol��gicos detr��s del comportamiento criminal, arrojando luz sobre el funcionamiento interno de las mentes criminales m��s desconcertantes. Seg��n las Prospects, un psic��logo criminalista puede ganar aproximadamente entre £30.000 y £50.000 al a��o, dependiendo de la experiencia, la ubicaci��n y otros factores. Inscr��base ahora y emprenda una exploraci��n fascinante de la psique humana y el mundo del crimen. ��Tu viaje a las profundidades de la psicolog��a criminal y la psiquiatr��a forense te espera! Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Course Curriculum Module 01: Comprensi��n de la psicolog��a criminal Module 02: Influencia de los trastornos mentales Module 03: Neuroticismo y psicosis Module 04: Trastorno de identidad disocial Module 05: Trastornos de estr��s y ansiedad Module 06: Trastornos de la personalidad Module 07: Psiquiatr��a forense Module 08: Vigilancia basada en inteligencia Module 09: An��lisis de inteligencia criminal y contraterrorismo Module 10: Ciencias forenses Module 11: Clasificaci��n de delitos Module 12: Delitos violentos Module 13: Perfiles criminales ciencia, l��gica y metacognici��n Module 14: Perfiles del delincuente Learning Outcomes: Analyse criminal behaviour using psychological theories and methodologies. Evaluate the impact of mental disorders on criminal behaviour. Explain the relationship between neuroticism, psychosis, and criminal actions. Identify traits and behaviours associated with dissocial identity disorder. Assess the role of stress and anxiety disorders in criminality. Recognize and classify different personality disorders in criminal contexts. CPD 10 CPD hours / points Accredited by CPD Quality Standards Criminal Psychology and Forensic Psychiatry (In Spanish) 3:30:48 1: Module 01: Comprensi��n de la psicolog��a criminal 17:12 2: Module 02: Influencia de los trastornos mentales 11:53 3: Module 03: Neuroticismo y psicosis 16:47 4: Module 04: Trastorno de identidad disocial 12:03 5: Module 05: Trastornos de estr��s y ansiedad 17:19 6: Module 06: Trastornos de la personalidad 26:02 7: Module 07: Psiquiatr��a forense 10:59 8: Module 08: Vigilancia basada en inteligencia 11:16 9: Module 09: An��lisis de inteligencia criminal y contraterrorismo 11:10 10: Module 10: Ciencias forenses 22:06 11: Module 11: Clasificaci��n de delitos 10:11 12: Module 12: Delitos violentos 15:18 13: Module 13: Perfiles criminales ciencia, l��gica y metacognici��n 17:07 14: Module 14: Perfiles del delincuente 10:25 15: CPD Certificate - Free 01:00 Who is this course for? Psychology graduates seeking specialisation in criminal psychology. Psychiatry professionals interested in forensic applications of their field. Law enforcement personnel aiming to enhance their understanding of criminal behaviour. Students pursuing careers in intelligence analysis within security agencies. Individuals with an academic interest in the intersection of psychology and law enforcement. Career path Criminal Psychologist Forensic Psychiatrist Intelligence Analyst Counterterrorism Analyst Forensic Scientist Criminal Profiler Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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

Explore the crucial role of sensors in the realm of robotics with this comprehensive course. Divided into sections focusing on various sensor types, you'll journey through temperature sensors, mechanical and electrical pressure transducers, speed sensors, flow meters, force sensors, position sensors, and depth gauges. Gain an in-depth understanding of how these sensors contribute to the functionality of robotic systems. Learning Outcomes: Grasp the foundational concepts of sensors in robotics. Understand the principles behind temperature sensing in robotics. Explore the use of mechanical and electrical pressure transducers. Gain insights into speed transducers and their applications. Study the significance of flow meters in robotic systems. Comprehend the functionality and application of force sensors. Learn about the role of position sensors in robotic navigation. Explore depth gauges and their relevance in robotics. Why buy this Robotics - Sensors?  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 Robotics - Sensors you will be able to take the MCQ test that will assess your knowledge. 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 Robotics - Sensors course is ideal for Robotics enthusiasts and hobbyists. Engineering students interested in robotics. Robotics engineers and professionals. Technologists and researchers in automation and robotics. Prerequisites This Robotics - Sensors 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 Robotics Engineer - Average Earnings: $70,000 - $120,000 per year. Automation Engineer - Average Earnings: $65,000 - $100,000 per year. Control Systems Engineer - Average Earnings: $70,000 - $110,000 per year. Mechatronics Engineer - Average Earnings: $70,000 - $120,000 per year. Research Scientist (Robotics) - Average Earnings: $80,000 - $120,000 per year. Course Curriculum Section 1: Introduction and Getting Started Unit 1: Introduction 00:01:00 Unit 2: Instructor's Introduction 00:03:00 Unit 3: Into the Sensors World 00:05:00 Section 2: Temperature Sensors Unit 1: Thermocouple 00:08:00 Unit 2: Resistance Type Sensor 00:06:00 Unit 3: Liquid Expansion and Vapour Pressure Sensors 00:02:00 Unit 4: Bimetallic Types 00:03:00 Unit 5: Glass Thermometer 00:03:00 Section 3: Mechanical Pressure Transducers Unit 1: Pressure Sensors 00:01:00 Unit 2: Bourdon Tube 00:03:00 Unit 3: Piston Type 00:03:00 Unit 4: Capsules and Bellows 00:02:00 Unit 5: Diaphragms 00:02:00 Section 4: Electrical Pressure Transducers Unit 1: Electrical Pressure Transducers 00:01:00 Unit 2: Strain Gauge Types 00:03:00 Unit 3: Piezo Electric Types 00:02:00 Section 5: Speed Transducers Unit 1: Optical Types 00:03:00 Unit 2: Magnetic Pickups and Tachometers 00:03:00 Section 6: Flow Meters Unit 1: Positive Displacement Types 00:03:00 Unit 2: Inferential Type Meters 00:04:00 Unit 3: Tapered Plug Type 00:04:00 Unit 4: Variable Area Types 00:04:00 Section 7: Force Sensors Unit 1: Force Sensors 00:05:00 Section 8: Position Sensors Unit 1: Resistive Type 00:03:00 Unit 2: Optical Type 00:06:00 Unit 3: Inductive Type 00:03:00 Section 9: Depth Gauges Unit 1: Depth Gauges 00:02:00 Assignment Assignment - Robotics - Sensors 00:00:00

Unlock the secrets to radiant, healthy skin with our 'Beauty Skincare' course. Embark on a journey through skin anatomy, nutrients, and tailored skincare routines designed for diverse skin types and ethnicities. From combating ageing effects to diagnosing skin conditions and mastering seasonal care, this course is your ultimate guide to achieving flawless skin. Throughout this comprehensive curriculum, delve into the intricacies of skincare, exploring topics ranging from hair removal techniques to diagnosing skin diseases. Discover effective remedies for acne-prone skin and learn how to combat the damaging effects of the sun. Whether you're a skincare enthusiast or aspiring professional, our course equips you with the knowledge and skills to curate a personalized skincare routine that transforms your complexion. By the end of this course, you'll emerge with a deep understanding of skin anatomy, nutrients, and effective skincare practices. Gain insights into combating various skin conditions, from eczema to keratinising disorders. Empower yourself with the expertise to address the unique needs of different skin types and ethnicities, ensuring optimal skincare results for yourself and others. Learning Outcomes: Understand the anatomy of the skin and its nutritional requirements. Tailor skincare routines to different skin types and ethnicities. Identify and reduce the effects of ageing on the skin. Diagnose and treat common skin diseases and disorders. Implement seasonal skincare strategies for optimal skin health. Why buy this Beauty Skincare course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Beauty Skincare 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 Beauty Skincarecourse for? Skincare enthusiasts eager to enhance their knowledge and routines. Beauty professionals seeking to expand their expertise in skincare. Individuals interested in addressing specific skincare concerns. Those looking to pursue a career in dermatology or aesthetics. Anyone passionate about maintaining healthy, radiant skin. Prerequisites This Beauty Skincare does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Beauty Skincare 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 Dermatologist: £60,000 - £150,000 Per Annum Aesthetic Nurse: £25,000 - £45,000 Per Annum Beauty Therapist: £18,000 - £25,000 Per Annum Cosmetic Scientist: £20,000 - £40,000 Per Annum Medical Sales Representative (Skincare Products): £20,000 - £35,000 Per Annum Spa Manager: £20,000 - £35,000 Per Annum Course Curriculum Module 01: Skin Anatomy Skin Anatomy 00:25:00 Module 02: Skin Nutrients Skin Nutrients 00:31:00 Module 03: Skin Care for Different Skin Types Skin Care for Different Skin Types 00:25:00 Module 04: Skin Care for Different Ethnicities Skin Care for Different Ethnicities 00:23:00 Module 05: Reducing Ageing Effects Reducing Ageing Effects 00:28:00 Module 06: Hair Removal Examined Hair Removal Examined 00:26:00 Module 07: Diagnosis of Skin Disease Diagnosis of Skin Disease 00:20:00 Module 08: Eczema Eczema 00:32:00 Module 09: Keratinising and Papulosquamous Disorders Keratinising and Papulosquamous Disorders 00:25:00 Module 10: Skin Infections Skin Infections 00:26:00 Module 11: Remedies for Acne Prone Skin Remedies for Acne Prone Skin 00:24:00 Module 12: Seasonal Skin Care Seasonal Skin Care 00:24:00 Module 13: Effect of the Sun and Its' Remedies Effect of the Sun and Its' Remedies 00:17:00

24-Hour Flash Sale! Prices Reduced Like Never Before!! Chemistry is at the heart of scientific discovery and innovation, shaping industries from pharmaceuticals to materials science. In the UK, the chemical industry employs over 150,000 people and contributes significantly to the economy. For those passionate about this essential science, the "Advanced Diploma in Organic Chemistry at QLS Level 7" is your gateway to mastering the complexities of organic molecules and reactions. This Advanced Diploma in Organic Chemistry at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 180 CPD points) to make your skill development & career progression more accessible than ever! This comprehensive course bundle offers an in-depth exploration of organic chemistry, covering everything from the basics of drawing organic molecules to advanced synthesis techniques. You'll start with foundational units like Resonance, Acid-base Reactions, and Molecular Geometry before progressing to more complex topics such as Reaction Mechanisms, Substitution and Elimination Reactions, and Addition Reactions. Each unit is carefully designed to build your expertise and confidence in organic chemistry. Learning Outcomes of this Course: Master the art of drawing and interpreting organic molecules. Understand and apply the principles of resonance and acid-base reactions. Analyse and predict molecular geometry and configurations. Differentiate between substitution and elimination reaction mechanisms. Execute advanced organic synthesis techniques with confidence. Develop critical thinking skills for complex chemical problem-solving. Unlock new career opportunities and become a leader in the field of chemistry with the "Advanced Diploma in Organic Chemistry at QLS Level 7." This program provides the advanced knowledge and skills needed to excel in various scientific and industrial roles. Enrol today and take the first step towards a rewarding and impactful career in chemistry! Why Prefer This Organic Chemistry Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Organic Chemistry course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Take a step toward a brighter future! This diploma offers learners the opportunity to acquire a Certificate that is highly valued in the field of Organic Chemistry. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Organic Chemistry setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Organic Chemistry-related fields, impacting their Organic Chemistry experiences and long-term development. Course Curriculum Here is the curriculum breakdown of the Organic Chemistry course: Module 01: About the Course Module 02: Drawing Organic Molecules Module 03: Resonance Module 04: Acid-Base Reactions Module 05: Geometry Module 06: Nomenclature Module 07: Conformations Module 08: Configurations Module 09: Mechanisms Module 10: Substitution Reactions Module 11: Elimination Reactions Module 12: Substitution vs Elimination Module 13: Addition Reactions Module 14: Synthesis Techniques Module 15: Wrapping Up and Bonus Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Advanced Diploma in Organic Chemistry at QLS Level 7 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring chemists Research scientists Pharmaceutical professionals Chemistry educators Laboratory technicians Advanced science students Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Organic Chemist: £25,000 - £45,000 Research Scientist: £30,000 - £60,000 Pharmaceutical Chemist: £28,000 - £50,000 Laboratory Technician: £20,000 - £35,000 Chemistry Lecturer: £35,000 - £55,000 Chemical Analyst: £25,000 - £45,000 Certificates CPD Accredited Digital Certificate Digital certificate - £12.99 Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Advanced Diploma in Organic Chemistry at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion After successfully completing the Advanced Diploma in Organic Chemistry at QLS Level 7, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

The Introduction to Orthodontic Biomechanics Course offers a clear and concise exploration into the fundamental principles that govern orthodontic treatments. This course delves into the intricate mechanisms behind orthodontic appliances and their effects on tooth movement. Designed for those seeking to understand the science behind modern orthodontics, it provides valuable insights into how forces are applied to teeth and how these forces can be controlled to achieve the desired outcomes. With a focus on biomechanics, learners will gain a deeper appreciation of the critical role that force application plays in orthodontic treatment planning. Throughout this course, students will develop a solid foundation in the core concepts of orthodontic biomechanics, including force systems, appliance design, and the biology of tooth movement. Ideal for both beginners and professionals looking to enhance their understanding, this course is structured to be accessible and engaging. Whether you are aiming to build on your existing knowledge or start fresh, it offers a robust entry point into the world of orthodontics. You’ll walk away with the confidence to approach orthodontic cases with a clearer understanding of how biomechanics influences treatment success. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Orthodontics and Biomechanics Module 02: Basic Concepts in Orthodontic Biomechanics Module 03: Biomechanics of Tooth Movement Module 04: Archwires in Orthodontic Biomechanics Module 05: Orthodontic Appliances and Auxiliaries Module 06: Anchorage Control in Orthodontics Module 07: Biomechanics of Space Closure Module 08: Biomechanics of Class II and Class III Corrections Module 09: Biomechanics in Aligner Therapy Module 10: Temporary Anchorage Devices (TADs) Learning Outcomes Analyse key biomechanical principles shaping orthodontic treatments. Demonstrate proficiency in manipulating archwires for optimal tooth movement. Apply anchorage control techniques in orthodontic practice. Execute effective space closure strategies based on biomechanical principles. Implement biomechanics in Class II and Class III corrections. Utilise biomechanical principles in aligner therapy and TADs. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Dental professionals aspiring to specialise in orthodontics. Students pursuing advanced studies in dental sciences. Orthodontic practitioners seeking enhanced biomechanical knowledge. Dentists aiming to broaden their expertise in tooth movement. Dental technicians involved in orthodontic appliance fabrication. Graduates looking to enter the field of orthodontic biomechanics. Individuals interested in the science behind aligner therapy. Practitioners aiming to integrate TADs into their orthodontic practice. Career path Orthodontic Consultant Dental Research Scientist Orthodontic Technician Dental Lecturer or Educator Orthodontic Product Development Specialist Dental Biomechanics Consultant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Join our Lab Technician Course to develop essential skills in medical laboratory services. Learn about laboratory techniques, equipment operation, and safety protocols, preparing you for a successful career in healthcare.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.