5386 Sciences courses

*** Limited Time Exclusive Bundle *** Tired of browsing and searching for the course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in Health and Safety and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all in one bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries and help you along your learning journey. Advanced audiovisual learning modules of these courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Health and Safety, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Health and Safety Bundle Consists of the following Premium courses: Course 01: Workplace Health and Safety Diploma Course 02: Compliance & Business Risk Management Course 03: Mental Health Laws and Awareness - Level 2 Course 04: Human Rights Course 05: Coronavirus (COVID-19) Awareness Course 06: Driver Safety Awareness Certificate Course 07: Manual Handling Level 2 Course 08: Level 2 Food Hygiene and Safety Course Course 09: Diploma in Substance Misuse Course 10: RIDDOR Training Course 11: Motivation Skills Course 12: Personal Hygiene Course 13: First Aid Training Course 14: Positive Psychology Masterclass Benefits you'll get choosing Apex Learning: One payment, but lifetime access to 14 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable experience without leaving your home How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum of Health and Safety Bundle Course 01: Workplace Health and Safety Diploma Module 01 : Health and Safety at Work and the Laws Module 02 : Managing for Health and Safety Module 03 : Risk Assessment and Common Risks Module 04 : Workplace Health, Safety and Welfare Module 05 : Accidents and Ill Health at Work Module 06 : Electrical, Fire and Gas Safety Module 07 : Safety in Different Work Settings Module 08 : Work Equipment Hazards and Risk Control Module 09 : Other Health and Safety Hazards at Work Course 02: Compliance & Business Risk Management Module 1: Introduction to Compliance Module 2: Five basic elements of compliance Module 3: Compliance Management System (CMS) Module 4: Compliance Audit Module 5: Compliance and Ethics Module 6: Risk and Types of Risk Module 7: Introduction to Risk Management Module 8: Risk Management Process Course 03: Mental Health Laws and Awareness - Level 2 Module 01: The Mental Capacity Act Module 02: Interface with Legislation, Policy and Procedures Module 03: Deprivation of Liberty Safeguards Module 04: The Mental Capacity Act (2005) and Deprivation of Liberty Safeguards During a Pandemic Module 05: Mental Health Legislation and Services Module 06: Liberty Protection Safeguards (LPS) Course 04: Human Rights Module 1: Basic Concept of Freedom and Human Rights Module 2: Classification of Human Rights Module 3: Women's and Children's Right Module 4: Various Aspects of Freedom Module 5: Various International Human Rights Organisations Course 05: Coronavirus (COVID-19) Awareness Introduction to COVID-19 Understanding of Covid-19 as a Pandemic and How It Is Related to Zoonotic Diseases Like SARS and MERS The Strike of Pandemic Around the World and Great Britain Effects of Covid-19 on Human Life Diagnosis and Treatment Preventions and Social Measures to Be Taken Artificial Intelligence, Data Science and Technological Solutions against Covid-19 Course 06: Driver Safety Awareness Certificate Introduction to Safe Driving Reading the Signals and Marks on the Road Pre-Journey Safety Check (Vehicle and Driver) Safe Driving Tactics for Driving in the UK Driving in Poor Condition Driving and Human Health In the Events of Accidents and Breakdowns Laws and Policies Involving Road Safety Course 07: Manual Handling Level 2 Introduction, Legislation and Guidance Manual Handling Hazards and Injuries Manual Handling Risk Assessments Controlling and Reducing the Risks Safe Lifting Techniques Course 08: Level 2 Food Hygiene and Safety Course Introduction to Food Hygiene Legislation and Food-borne Illness Types of Food Safety Hazards Hazard Control Measures and Refrigeration Food Handlers Personal Hygiene Cleaning and Disinfection Course 09: Diploma in Substance Misuse Module 1: Substance Misuse and Outreach Worker Module 2: Substances: Drugs, Alcohol and Others Module 3: Abuses of Substance Misuse Module 4: Why People Use Drug and Alcohol? Module 5: The Nature of Substance Misuse: Biological, Psychological and Social Perspectives Module 6: Understand Possible Causes of Substance and Drug Abuse Module 7: Implementing Substance Use Policy Module 8: Effects of Drugs on the Body and Mind Module 9: Enhancing Assessment and Treatment of Substance Misuse Module 10: Health Consideration Module 11: Specific Treatment Situations Module 12: Substance Misusers: Children Module 13: Risk Factors Module 14: Pharmacological Agents Used in the Management of Substance Misuse Problems Module 15: Planning and Implementing a Practice Improvement Subject Module 16: Prevention and Awareness Module 17: Substance Use Capabilities Across All Level of Social Work Module 18: Career Consultancy Course 10: RIDDOR Training Module 1: Health and Safety at Work and the Laws Module 2: Managing for Health and Safety Module 3: Risk Assessment and Common Risks Module 4: RIDDOR Course 11: Motivation Skills Introduction Motivational Skills Motivational Strategies Conclusion Course 12: Personal Hygiene Module 01: Introduction to Personal Hygiene and a Brief History Module 02: Looking Clean, Smelling Clean Module 03: Improving and Maintaining Oral Health Module 04: Care of the Eyes Module 05: Ear Care Secrets Module 06: Foot & Nail Care in Personal Hygiene Module 07: Hair Care Hygienic Ways Module 08: Hygienic Approach to Skin Care Module 09: Maintain Good Toilet Hygiene Module 10: Potential Hygiene Guidelines Module 11: Personal Hygiene During Coronavirus Pandemic Course 13: First Aid Training Introduction to Workplace First Aid Legal Framework for Workplace First Aid Incident Management at Work Primary Survey Secondary Survey Basic First-Aid Techniques Dealing with Minor Injuries at the Workplace Secondary Illness Loss of Responsiveness and CPR Secondary Illness Breathing Problems Secondary Illnesses and Injuries Dealing With Fractures and Dislocations Call for an Emergency Course 14: Positive Psychology Masterclass Section 01: Turn Negativity into Positivity Section 02: Turn Anxiety & Frustrations into Positivity Section 03: Turn Surviving Into Thriving Section 04: Create a Positive Mental Aptitude Section 05: Master the Top Six Positivity Traits Section 06: Turn Adversity into Resilience Section 07: Master Your Grit Scale Section 08: Turn Physical Dexterity into Positive Psychology Section 09: Set Positive Boundaries Section 10: Become More Genuine and Authentic Section 11: Live Out Giving First Section 12: Detach Yourself from the End Result CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Health and Safety bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Health and Safety is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various expertise will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

What is this webinar about? (indicative) Phobias relate to intense fear or anxiety when exposed to specific objects or situations. They are very different to common childhood fears and can be a source of distress and restriction in adults. This workshop will look at specific techniques used in the contemporary treatment of specific phobias. Key Topics (indicative) Contexts DSM-5 and NICE frameworks Development of Phobias Treatment Exposure Based Treatments and Fear Hierarchies for Specific Phobia Safety Behaviours in Specific Phobias Particular Phobias Emetophobia Hemophobia Fear of Flying Summary and Review The workshop assumes no prior specialist knowledge of specific phobias What previous delegates have said about this workshop. A great overview of phobias. Very helpful to see a proposed treatment plan, learn about the processes involved with feared responses and have practical strategies also. I look forward to putting these into practice next week in CBT sessions! This is a fantastic workshop. Very practical. I now feel competent and confident working with clients who have different phobias and their treatment methods. Thank you Useful practical techniques for dealing with phobias in the therapy room Practical CBT lives up to its name again. Practical techniques and important facts you can put to use straightaway. Who is leading this webinar? Professor Patrick McGhee is a CBT therapist, psychologist and UK National Teaching Fellow. Educated at the universities of Glasgow and Oxford, he has completed CPD programmes at Harvard Business School and Ashridge. In 2017 he was a Visiting Fellow/Scholar at the universities of Cornell, Yale and MIT in the USA. He has taught, researched or practised in psychology and therapy for 30 years. His first post was a Research Fellow in Psychiatry and Psychology at St George's Hospital Medical School, University of London. He is the author of Thinking Psychologically (Palgrave) and co-editor of Accounting for Relationships (Methuen). He is an occasional columnist for the Guardian, the BBC and the Times Higher. He currently works in private practice in Greater Manchester. He has full accreditation from the British Association for Behavioural and Cognitive Psychotherapists.

Overview Gain a fascinating insight into the mind of a criminal and learn to harness your knowledge to create a lucrative career out of Criminal Psychology. This Criminal Psychology Course Level 2 course will teach you how to explore and anticipate illegal activity and use that skills to prevent or solve criminal acts. The comprehensive course delivers a wealth of information about the origins of illicit behaviour and the different types of crime that can result from it. You will also be taught how mental illness can contribute to lawlessness and why violence is so prevalent in some areas. It could launch you into a new career or obsession. ** Completing this course does not imply that you are qualified to work as a Practitioner Psychologist. If you are seeking a course that fits the HCPC's standards, please contact the HCPC or the RCSLT. ** How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Criminal Psychology Course Level 2. It is available to all students, of all academic backgrounds. Requirements Our Criminal Psychology Course Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 7 lectures • 02:17:00 total length •Module 01: Understanding Criminal Psychology: 00:28:00 •Module 02: Influence of Mental Disorders: 00:23:00 •Module 03: Classification of Crime: 00:15:00 •Module 04: Forensic Science: 00:30:00 •Module 5: Victimology: 00:20:00 •Module 6: The Criminal Justice System in England and Wales: 00:16:00 •Assignment - Criminal Psychology Course Level 2: 00:05:00

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview This comprehensive course on Computer Science With Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science With Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Computer Science With Python. It is available to all students, of all academic backgrounds. Requirements Our Computer Science With Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 152 lectures • 04:54:00 total length •Introduction: 00:03:00 •Quiz 1: 00:02:00 •Quiz 1 Solution: 00:01:00 •What is Programming: 00:03:00 •Quiz 2: 00:01:00 •Quiz 2 Solution: 00:01:00 •Meeting the interpreter and Problem Quiz 3: 00:01:00 •Quiz 3 solution: 00:01:00 •Congratulations: 00:01:00 •Why programming and Quiz 4: 00:02:00 •Quiz 4 Solution: 00:03:00 •Grammar and Python Rules: 00:04:00 •Backus Naur Form: 00:03:00 •Quiz 4 part 2: 00:01:00 •Quiz 4 part 2 Solution: 00:01:00 •Python Grammar and Quiz 5: 00:05:00 •Quiz 5 Solution: 00:03:00 •Quiz 6: 00:01:00 •Quiz 6 Solution: 00:02:00 •Processors: 00:02:00 •Introducing Variables: 00:05:00 •Variables Quiz 7: 00:02:00 •Variables Can Vary: 00:03:00 •Variables Quiz 8: 00:01:00 •Quiz 8 Solution: 00:01:00 •Variables Quiz 9: 00:01:00 •Quiz 9 Solution: 00:01:00 •Variables Quiz 10: 00:01:00 •Quiz 10 Solution: 00:03:00 •Introducing Strings: 00:04:00 •Using Strings Quiz 11: 00:01:00 •Quiz 11 Solution: 00:03:00 •Strings and Numbers - String Concatenation Quiz Solution: 00:03:00 •String indexing: 00:02:00 •Quiz 13: 00:01:00 •Quiz 13 Solution: 00:03:00 •String subsequences: 00:04:00 •String subsequences quiz 14: 00:01:00 •Quiz 14 solution: 00:02:00 •Understanding selection quiz 15: 00:01:00 •Quiz 15 solution: 00:04:00 •Finding string in string quiz 16: 00:04:00 •Quiz 16 solution: 00:02:00 •Testing and quiz 17: 00:02:00 •Quiz 17 solution: 00:03:00 •Find With Parameter Quiz 18: 00:02:00 •Quiz 18 solution: 00:01:00 •Extracting links from a web page Quiz 19: 00:03:00 •Extracting links from a web page Quiz 19 Solution: 00:02:00 •Final Quiz: 00:01:00 •Final Quiz Solution: 00:02:00 •Congratulations: 00:01:00 •Unit Overview: 00:03:00 •Procedural Abstraction: 00:03:00 •Introducing Procedures: 00:04:00 •Procedure code quiz 1: 00:04:00 •Quiz 1 Solution: 00:01:00 •Output and quiz 2: 00:01:00 •Quiz 2 Solution: 00:02:00 •Return Statement and Quiz 3: 00:03:00 •Quiz 3 solution: 00:02:00 •Inc Procedure Quiz 4: 00:01:00 •Quiz 4 Solution: 00:01:00 •Sum Procedure and Quiz 5: 00:01:00 •Quiz 5 Solution: 00:02:00 •Sum procedure with a return statement: 00:02:00 •Square procedure quiz 6: 00:01:00 •Quiz 6 Solution: 00:02:00 •Sum 3 Quiz 7: 00:01:00 •Quiz 7 Solution: 00:02:00 •Double string procedure quiz 8: 00:01:00 •Quiz 8 Solution: 00:01:00 •Find second quiz 9: 00:02:00 •Quiz 9 Solution: 00:02:00 •Equality Comparison Quiz 10: 00:04:00 •Quiz 10 Solution: 00:01:00 •If statement quiz 11: 00:03:00 •Quiz 11 Solution: 00:03:00 •Is friend quiz 12: 00:02:00 •Quiz 12 solution: 00:02:00 •Is friend quiz 13: 00:02:00 •Quiz 13 Solution: 00:02:00 •The Or construct: 00:03:00 •Quiz 14 solution: 00:06:00 •While loop quiz 15: 00:05:00 •Quiz 15 solution: 00:03:00 •While loop quiz 16: 00:01:00 •Quiz 16 solution: 00:02:00 •Print numbers quiz 17: 00:01:00 •Quiz 17 solution: 00:02:00 •Factorial quiz 18: 00:02:00 •Quiz 18 solution: 00:02:00 •Break quiz 19: 00:04:00 •Quiz 19 solution: 00:03:00 •Quiz 20: 00:05:00 •Quiz 20 Solution: 00:01:00 •No links quiz 21: 00:01:00 •Print all links quiz 21 solution: 00:03:00 •Final Quiz: 00:01:00 •Final Quiz Solution: 00:02:00 •Unit Overview: 00:03:00 •Stooges and quiz 1: 00:01:00 •Quiz 1 Solution: 00:01:00 •Countries quiz: 00:01:00 •Quiz 3 solution: 00:01:00 •Relative Size Quiz: 00:01:00 •Quiz 4 Solution: 00:01:00 •Lists Mutation: 00:01:00 •Different Stooges quiz: 00:01:00 •Quiz 5 Solution: 00:01:00 •Secret Agent Man Quiz: 00:01:00 •Replace Spy Quiz: 00:01:00 •Quiz 7 Solution: 00:03:00 •Python List Addition and Length: 00:02:00 •List Operations In Python: 00:02:00 •Python lists length quiz: 00:01:00 •Quiz 8 Solution: 00:01:00 •Append Quiz: 00:01:00 •Hard drive quiz: 00:01:00 •Quiz 11 Solution: 00:01:00 •Python Loops on Lists Quiz: 00:02:00 •Quiz 12 solution: 00:02:00 •Python For loops: 00:03:00 •Sum List Quiz: 00:01:00 •Measure a String Quiz: 00:01:00 •Find Element Quiz: 00:02:00 •Quiz 15 solution: 00:04:00 •Quiz 16 solution: 00:01:00 •Python Union Procedure Quiz: 00:01:00 •Quiz 17 solution: 00:01:00 •Pop in Python Quiz 18: 00:02:00 •Quiz 18 solution: 00:03:00 •Collecting Links: 00:01:00 •Get All Links: 00:02:00 •Starting Get All Links Quiz: 00:01:00 •Quiz 19 solution: 00:01:00 •Updating Links Quiz: 00:01:00 •Quiz 20 Solution: 00:01:00 •Finishing Get All Links Quiz: 00:01:00 •Quiz 21 Solution: 00:01:00 •Finishing the Python Web Crawler: 00:03:00 •Crawling Process Quiz: 00:01:00 •Quiz 22 Solution: 00:01:00 •Crawl Web Quiz: 00:01:00 •Quiz 23 Solution: 00:01:00 •Crawl Web Loop Quiz: 00:01:00 •Quiz 24 Solution: 00:02:00 •Crawl If Quiz: 00:01:00 •Quiz 25 Solution: 00:01:00 •Finishing Crawl Web and Final Quiz: 00:02:00 •Final Quiz Solution & Conclusion: 00:03:00 •Assignment - Computer Science With Python: 00:00:00

Overview This comprehensive course on Diploma in Psychology will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Diploma in Psychology comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Diploma in Psychology. It is available to all students, of all academic backgrounds. Requirements Our Diploma in Psychology is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 21 sections • 21 lectures • 07:21:00 total length •The Foundation of Psychology: 00:17:00 •Different Approaches of Psychology: 00:15:00 •Biological Psychology: 00:21:00 •Behavioural Psychology: 00:24:00 •Developmental Psychology: How Children Become Adults: 00:22:00 •Social Psychology: 00:26:00 •Emotions in Terms of Psychology: 00:24:00 •Motivation: Why Do We Do What We Do?: 00:27:00 •Dealing with Stress and Anxiety: 00:23:00 •Personality: Psychological Factors That Make You an Individual: 00:14:00 •Perception, Sensation and Love: 00:25:00 •Learning: Understanding Acquired Behaviour: 00:25:00 •Thinking: Exploring Mental Life: 00:23:00 •Intelligence: In Pursuit of Rational Thought and Effective Action: 00:16:00 •Atypical Behaviours from a Psychological Perspective: 00:18:00 •Mood Disorders: 00:17:00 •Eating Disorders: 00:16:00 •Personality Disorders: 00:29:00 •Research Methods: 00:18:00 •Psychological Assessments: 00:24:00 •Ethical Issues in Psychological Assessments: 00:17:00

Overview Did you know a pleasant classroom environment can amplify student engagement by over 65%? The classroom Behaviour Management' course is meticulously designed to guide teaching assistants and educators towards creating a balanced classroom.  Explore the art of communication, with segments like 'Experienced TAs Maintain Strong Communications with the Students' and 'Communication and Interaction'. Delve deep into the specifics of 'Cognition and Learning' and address 'Social, Emotional and Mental Health Difficulties'.  This course also offers a penetrating look into 'SEN Support' and the tenets of 'High Quality Teaching for Pupils with SEN', ultimately guiding participants towards 'Providing the Best Learning Environment'. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for?   There is no experience or previous qualifications required for enrolment on this Classroom Behaviour Management . It is available to all students, of all academic backgrounds. Requirements There is no experience or previous qualifications required for enrolment on this Classroom Behaviour Management . It is available to all students, of all academic backgrounds. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 9 lectures • 02:24:00 total length •Understanding Behaviour & Relationships as a TA: 00:20:00 •Experienced TAs Maintain Strong Communications with the Students: 00:14:00 •Communication and Interaction: 00:17:00 •Cognition and Learning: 00:21:00 •Social, Emotional and Mental Health Difficulties: 00:13:00 •Children Having Special Education Needs or Disabilities: 00:17:00 •SEN Support: 00:14:00 •High Quality Teaching for Pupils with SEN: 00:10:00 •Providing the Best Learning Environment: 00:18:00

Overview This comprehensive course on Smart Meter Installer Training will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Smart Meter Installer Training comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Smart Meter Installer Training. It is available to all students, of all academic backgrounds. Requirements Our Smart Meter Installer Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 7 lectures • 04:42:00 total length •Module 01: Introduction to Smart Meter: 00:34:00 •Module 02: Designing of Smart Metering System: 00:34:00 •Module 03: Install a Smart Meter: 01:13:00 •Module 04: Meter Installation Guidelines: 00:32:00 •Module 05: Smart Meter Cost and Benefit Analysis: 00:46:00 •Module 06: Smart Metering Policy Guidelines: 00:38:00 •Module 07: Smart Meters Act in the UK: 00:25:00

Overview This comprehensive course on Interrogations And Confessions Psychology will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Interrogations And Confessions Psychology comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. ** Completing this course does not imply that you are qualified to work as a Practitioner Psychologist. If you are seeking a course that fits the HCPC's standards, please contact the HCPC or the RCSLT. ** How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Interrogations And Confessions Psychology. It is available to all students, of all academic backgrounds. Requirements Our Interrogations And Confessions Psychology is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 8 lectures • 02:22:00 total length •The English Law on Confessions: 00:23:00 •Interrogation in Britain: 00:21:00 •The Royal Commission Research: Persons at Risk amid Police Custody: 00:19:00 •Identifying 'Oppressive' Police Interviewing Tactics in Britain: 00:19:00 •Theories of Reason of Confession by Suspects: 00:20:00 •The Psychological Assessment of False Confession: 00:19:00 •The Effects of Drugs and Alcohol Upon the Reliability of Testimony Interrogation Techniques and Miscarriages of Justice: 00:21:00 •Assignment - Interrogations And Confessions Psychology: 00:00:00

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 23 sections • 129 lectures • 06:25:00 total length •Introduction to Data Science: 00:01:00 •Data Science: Career of the Future: 00:04:00 •What is Data Science?: 00:02:00 •Data Science as a Process: 00:02:00 •Data Science Toolbox: 00:03:00 •Data Science Process Explained: 00:05:00 •What's Next?: 00:01:00 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •What's a Matrix?: 00:02:00 •Analyzing Matrices: 00:03:00 •Naming a Matrix: 00:05:00 •Adding columns and rows to a matrix: 00:06:00 •Selection of matrix elements: 00:03:00 •Arithmetic with matrices: 00:07:00 •Additional Materials: 00:00:00 •What's a Factor?: 00:02:00 •Categorical Variables and Factor Levels: 00:04:00 •Summarizing a Factor: 00:01:00 •Ordered Factors: 00:05:00 •What's a Data Frame?: 00:03:00 •Creating Data Frames: 00:20:00 •Selection of Data Frame elements: 00:03:00 •Conditional selection: 00:03:00 •Sorting a Data Frame: 00:03:00 •Additional Materials: 00:00:00 •Why would you need lists?: 00:01:00 •Creating a List: 00:06:00 •Selecting elements from a list: 00:03:00 •Adding more data to the list: 00:02:00 •Additional Materials: 00:00:00 •Equality: 00:03:00 •Greater and Less Than: 00:03:00 •Compare Vectors: 00:03:00 •Compare Matrices: 00:02:00 •Additional Materials: 00:00:00 •AND, OR, NOT Operators: 00:04:00 •Logical operators with vectors and matrices: 00:04:00 •Reverse the result: (!): 00:01:00 •Relational and Logical Operators together: 00:06:00 •Additional Materials: 00:00:00 •The IF statement: 00:04:00 •IFELSE: 00:03:00 •The ELSEIF statement: 00:05:00 •Full Exercise: 00:03:00 •Additional Materials: 00:00:00 •Write a While loop: 00:04:00 •Looping with more conditions: 00:04:00 •Break: stop the While Loop: 00:04:00 •What's a For loop?: 00:02:00 •Loop over a vector: 00:02:00 •Loop over a list: 00:03:00 •Loop over a matrix: 00:04:00 •For loop with conditionals: 00:01:00 •Using Next and Break with For loop: 00:03:00 •Additional Materials: 00:00:00 •What is a Function?: 00:02:00 •Arguments matching: 00:03:00 •Required and Optional Arguments: 00:03:00 •Nested functions: 00:02:00 •Writing own functions: 00:03:00 •Functions with no arguments: 00:02:00 •Defining default arguments in functions: 00:04:00 •Function scoping: 00:02:00 •Control flow in functions: 00:03:00 •Additional Materials: 00:00:00 •Installing R Packages: 00:01:00 •Loading R Packages: 00:04:00 •Different ways to load a package: 00:02:00 •Additional Materials: 00:00:00 •What is lapply and when is used?: 00:04:00 •Use lapply with user-defined functions: 00:03:00 •lapply and anonymous functions: 00:01:00 •Use lapply with additional arguments: 00:04:00 •Additional Materials: 00:00:00 •What is sapply?: 00:02:00 •How to use sapply: 00:02:00 •sapply with your own function: 00:02:00 •sapply with a function returning a vector: 00:02:00 •When can't sapply simplify?: 00:02:00 •What is vapply and why is it used?: 00:04:00 •Additional Materials: 00:00:00 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •Today and Now: 00:02:00 •Create and format dates: 00:06:00 •Create and format times: 00:03:00 •Calculations with Dates: 00:03:00 •Calculations with Times: 00:07:00 •Additional Materials: 00:00:00 •Get and set current directory: 00:04:00 •Get data from the web: 00:04:00 •Loading flat files: 00:03:00 •Loading Excel files: 00:05:00 •Additional Materials: 00:00:00 •Base plotting system: 00:03:00 •Base plots: Histograms: 00:03:00 •Base plots: Scatterplots: 00:05:00 •Base plots: Regression Line: 00:03:00 •Base plots: Boxplot: 00:03:00 •Introduction to dplyr package: 00:04:00 •Using the pipe operator (%>%): 00:02:00 •Columns component: select(): 00:05:00 •Columns component: rename() and rename_with(): 00:02:00 •Columns component: mutate(): 00:02:00 •Columns component: relocate(): 00:02:00 •Rows component: filter(): 00:01:00 •Rows component: slice(): 00:04:00 •Rows component: arrange(): 00:01:00 •Rows component: rowwise(): 00:02:00 •Grouping of rows: summarise(): 00:03:00 •Grouping of rows: across(): 00:02:00 •COVID-19 Analysis Task: 00:08:00 •Additional Materials: 00:00:00 •Assignment - R Programming for Data Science: 00:00:00