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Course Overview Have you ever felt confused about the environmental issues? We are surely living in an era where climate change is one of the biggest concern. But there are various types of reports and opinions that you might feel confused. But not anymore. Learn environmental management from this Environmental Management Training course and enhance your environmental literacy today. In this Environmental Management Training course, you will be familiarized with different environmental changes and their reasons. You will learn about ecological changes and how environmental planning can help you improve your environmental management skill. You will also learn about environmental law and policies, how to perform an environmental audit and understand the current ecological concerns from this course. This Environmental Management Training course is perfectly for you to understand the environmental effect of your actions and learn how to take responsibility for your actions. The bite-sized lessons will help you understand the concepts and techniques easily.  Learning Outcomes Learn about the change of the ecology Understand the negative effect of environmental change Discover how to apply environmental management in your workplace and personal life Familiarize with the principles of EMS Learn about the potential of environmental management Understand the EU and UK law of environmental protection Learn the skills you need to perform an environmental audit Know how to act responsibly for environmental changes and negative effects of environmental change Learn about situation on environmental management Understand how you can improve environmental performance of your workplace Who is this course for? This comprehensive Environmental Management Training course is ideal for those who want to understand climate change effects and maintain a environment friendly surrounding.  Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Environmental Management Training is a useful qualification to possess and would be beneficial for any related profession or industry such as: Environmental Managers Environmental Advisors Sustainability Managers Ecologists Business Owners Environmental Analysts Scientists Entrepreneurs Environmental Management Training Module 01: Environment and Ecology 00:21:00 Module 02: Environmental Issues 00:26:00 Module 03: Environmental Planning 00:22:00 Module 04: Environmental Management System 00:32:00 Module 05: Ecosystem Management 00:29:00 Module 06: Environmental Law and Policy 00:24:00 Module 07: Improving Environmental Performance 00:25:00 Module 08: Environmental Management Audit 00:38:00 Module 09: Situational Environmental Management 00:27:00 Module 10: Review and Performance 00:18:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Our comprehensive course is designed to provide you with the necessary skills and knowledge to excel in your field. Developed by professionals with years of experience, this course is perfect for anyone looking to kick start their career or advance their skills. It features an audio-visual presentation and easy-to-learn modules, allowing for a self-paced learning experience. Our expert online support team is available during weekdays to assist you throughout the course. Learning Outcomes Upon completion of the course, you will be able to: Understand the fundamentals and its applications. Develop the necessary skills to succeed in the field . Apply your newly acquired knowledge to real-world scenarios. Create effective and efficient solutions for relevant topics. Enhance your employability and career prospects. It is designed to provide you with the knowledge needed to stand out in the competitive job market. With lifetime access to course materials and the ability to learn at your own pace, this course is the perfect opportunity to improve your skills and advance your career. You can learn at your own pace, from the comfort of your home, as all course materials are accessible online at any time. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path The course is designed to equip you with the skills and knowledge you need to succeed in the field. After completing the course, you will be able to pursue a variety of career opportunities in different industries. Course Content Private Investigator Level 3 Diploma Module 1 Introduction to Private Investigation Module 2 Using Criminal Psychology to Understand Crimes Module 3 Tracking Down_Locating People and Tracing Missing Module 4 Launching an Investigation Module 5 Getting Results through Surveillance, Examination Module 6 Matrimonial and Domestic Cases Module 7 Surveillance and Counter-Surveillance Module 8 Espionage_ Commercial Espionage and Counter-Espionage Module 9 Taking and Reporting Statements Module 10 Investigating Fraud and Other Cases

In a world where forensic science is increasingly pivotal, our Forensic Science course emerges as a beacon of learning. In the UK, where criminal detection rates have surged by 20% due to advanced forensic techniques, this course stands as a testament to the power of scientific investigation. It delves into the intricate world of crime scene analysis, offering an immersive journey into forensic methodologies. This course not only educates but also captivates, blending theory with real-world applications. With a curriculum designed to unveil the mysteries behind evidence analysis, it promises to transform students into forensic connoisseurs. The course's unique blend of scientific rigour and investigative prowess prepares learners for a rapidly evolving landscape where science meets justice. Learning Outcomes: Master the fundamentals of forensic science and evidence analysis. Understand the legal framework surrounding forensic investigations. Develop skills in interpreting forensic data accurately. Learn cutting-edge techniques in crime scene examination. Acquire knowledge in forensic biology and chemistry. Gain insight into the role of technology in forensic science. Enhance critical thinking for solving complex cases. Cultivate ethical awareness in forensic investigations. Who Is This Course For? Aspiring forensic scientists seeking foundational knowledge. Law enforcement personnel wishing to expand investigative skills. Legal professionals aiming to understand forensic evidence better. Science graduates interested in a forensic career. Individuals passionate about pursuing justice through science. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path: Forensic Scientist: £25,000 - £45,000 Crime Scene Investigator: £20,000 - £35,000 Forensic Analyst: £24,000 - £40,000 Forensic Toxicologist: £30,000 - £50,000 Forensic Psychologist: £31,000 - £52,000 Forensic Pathologist: £45,000 - £85,000 Course Content Forensic Science Level 3 Diploma Module 1: Introduction to Forensic Science Module 2: Forensic Biology Module 3: Forensic Chemistry Module 4: Forensic Physics Module 5: Digital and Multimedia Forensics Module 6: Forensic Pathology and Anthropology Module 7: Forensic Psychology and Psychiatry Module 8: Crime Scene Management and Reconstruction Module 9: Legal Aspects of Forensic Science Module 10: Emerging Techniques in Forensic Science

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

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 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 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 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