5386 Sciences courses

Embark on a journey beneath the waves with the 'Basics of Marine Archaeology Diploma'. Navigate through the enigmatic world of underwater history, where the oceans reveal sunken secrets and hidden tales of bygone eras. From the alluring mysteries of shipwrecks to the silent stories of submerged settlements, this course invites you to decode the enthralling narrative of our maritime past. Module by module, immerse yourself into a profound educational abyss, exploring tools, methodologies, and the diverse array of underwater sites that punctuate our ocean floors. Not only will your intellect be piqued, but your ethical and legal discernment will also be sharpened, ensuring your expeditions into the depths are both responsible and respectful to our submerged heritage. Learning Outcomes Analyse and comprehend varied underwater archaeological sites and their historical significance. Employ appropriate archaeological tools and innovative techniques effectively in maritime explorations. Understand and adhere to legal and ethical protocols in marine archaeological practice. Apprehend and apply advanced technological methodologies in underwater excavations. Foresee and engage with current trends and emerging prospects in the field of marine archaeology. Why buy this Basics of Marine Archaeology Diploma? 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. Who is this Basics of Marine Archaeology Diploma for? Individuals passionate about maritime history and underwater explorations. Students of archaeology seeking to diversify their academic knowledge. Hobbyists interested in understanding the realm of underwater archaeological sites. Professionals in the field of history or archaeology looking to specialise in a unique domain. Environmentalists aiming to blend knowledge of oceanography with archaeological practices. Career path Marine Archaeologist: £28,000 - £45,000 Underwater Photographer: £20,000 - £40,000 Maritime Historian: £25,000 - £45,000 Conservation Specialist: £22,000 - £37,000 Museum Curator with a marine specialty: £23,000 - £40,000 Archaeological Illustrator: £18,000 - £30,000 Prerequisites This Basics of Marine Archaeology Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Course Curriculum Module 01: Introduction to Marine Archaeology Introduction to Marine Archaeology 00:14:00 Module 02: Tools and Techniques Tools and Techniques 00:13:00 Module 03: Types of Underwater Sites Types of Underwater Sites 00:15:00 Module 04: Prehistoric Marine Archaeology Prehistoric Marine Archaeology 00:11:00 Module 05: Legal and Ethical Considerations Legal and Ethical Considerations 00:09:00 Module 06: Advanced Technologies in Marine Archaeology Advanced Technologies in Marine Archaeology 00:11:00 Module 07: Current Trends and Future Prospects Current Trends and Future Prospects 00:08:00

Delve into the shadowy realms of criminal behaviour and the intricacies of the legal framework with our 'Criminology, Profiling & UK Justice System' course. This programme is an intellectual journey, guiding learners through the labyrinthine nature of criminal minds and societal responses to misconduct. Embark on a path that begins with the fundamental aspects of criminology and offender profiling, where each session is a stepping stone to a profound understanding of the forces that drive unlawful actions. The curriculum is meticulously sculpted to provide an immersive exploration from the initial contemplation of criminal acts to the delicate art of crime scene management. The chapters unfold, revealing the complexities of criminal psychology and the science behind forensic investigation. This course is a blueprint for those seeking to comprehend the strategic phases of profiling and the application of science, logic, and metacognition in understanding the criminal. It extends beyond theoretical knowledge, offering a comprehensive view of victimology and the mechanisms of the justice system in England and Wales. Such a course promises to transform your perception, equipping you with the acumen to decode the most enigmatic of cases. Learning Outcomes Discern the foundations and classifications of crime and criminal behaviour. Evaluate crime scenes and the methodology of dealing with various crimes. Comprehend the psychological underpinnings of criminal acts. Grasp the essentials of forensic science in criminal investigations. Understand the operational aspects of criminal profiling and the UK justice system. Why choose this Criminology, Profiling & UK Justice System course? 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 Criminology, Profiling & UK Justice System 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 Criminology, Profiling & UK Justice System course for? Individuals intrigued by the psychological aspects of crime. Legal professionals aspiring to augment their knowledge of criminal behaviour. Forensic science enthusiasts eager to understand crime scene intricacies. Law enforcement personnel aiming to enhance their profiling expertise. Students of psychology and criminal justice seeking a comprehensive education in criminology. Career path Criminologist: £25,000 - £40,000 Forensic Psychologist: £27,000 - £60,000 Police Detective: £29,000 - £39,000 Criminal Profiler: £30,000 - £50,000 Forensic Scientist: £20,000 - £45,000 Legal Consultant: £35,000 - £75,000 Prerequisites This Criminology, Profiling & UK Justice System does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Criminology, Profiling & UK Justice System 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. Course Curriculum Module 01: Introduction to Criminology and Profiling Introduction to Criminology and Profiling 00:23:00 Module 02: Classification of Crime Classification of Crime 00:18:00 Module 03: Violent Crimes Violent Crimes 00:29:00 Module 04: The Crime Scene The Crime Scene 00:30:00 Module 05: Dealing with Crime Dealing with Crime 00:41:00 Module 06: Understanding Criminal Psychology Understanding Criminal Psychology 00:31:00 Module 07: Forensic Science Forensic Science 00:35:00 Module 08: Phases of Profiling Phases of Profiling 00:33:00 Module 09: Criminal Profiling: Science, Logic and Metacognition Criminal Profiling: Science, Logic and Metacognition 00:28:00 Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice 00:22:00 Module 11: Victimology Victimology 00:25:00 Module 12: The Criminal Justice System in England and Wales The Criminal Justice System in England and Wales 00:19:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Criminology, Profiling & Victimology Diploma Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Criminology, Profiling & Victimology Diploma Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Criminology, Profiling & Victimology Diploma Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Criminology, Profiling & Victimology Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Criminology, Profiling & Victimology Diploma? 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 Criminology, Profiling & Victimology Diploma 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Criminology, Profiling & Victimology Diploma course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Criminology, Profiling & Victimology Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Criminology, Profiling & Victimology Diploma 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Criminology, Profiling & Victimology Diploma is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction to Criminology and Profiling Introduction to Criminology and Profiling 00:23:00 Module 02: Classification of Crime Classification of Crime 00:18:00 Module 03: Violent Crimes Violent Crimes 00:29:00 Module 04: The Crime Scene The Crime Scene 00:30:00 Module 05: Dealing with Crime Dealing with Crime 00:41:00 Module 06: Understanding Criminal Psychology Understanding Criminal Psychology 00:31:00 Module 07: Forensic Science Forensic Science 00:35:00 Module 08: Phases of Profiling Phases of Profiling 00:33:00 Module 09: Criminal Profiling: Science, Logic and Metacognition Criminal Profiling: Science, Logic and Metacognition 00:28:00 Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice 00:22:00 Module 11: Victimology Module 11: Victimology 00:25:00 Module 12: The Criminal Justice System in England and Wales Module 12: The Criminal Justice System in England and Wales 00:19:00 Recommended Readings Recommended Readings - Criminology & Profiling Diploma 00:00:00 Assignment Assignment - Criminology & Profiling Diploma 00:00:00

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

Quick Data Science Approach from Scratch is an innovatively structured course designed to introduce learners to the fascinating world of data science. The course commences with an enlightening introduction, setting the stage for a deep dive into the essence and significance of data science in the modern era. Learners are guided through a landscape of insights, where misconceptions about data science are addressed and clarified, paving the way for a clear and accurate understanding of the field. In the second section, the course shifts its focus to pivotal data science concepts. Beginning with an exploration of data types and variables, learners gain a solid foundation in handling various data formats. The journey then leads to mastering descriptive analysis, a critical skill for interpreting and understanding data trends. Learners will also navigate through the intricate processes of data cleaning and feature engineering, essential skills for refining and optimizing data for analysis. The concept of 'Data Thinking Development' is introduced, fostering a mindset that is crucial for effective data science practice. The final section offers an immersive experience in applying these skills to a real-world scenario. Here, learners engage in defining a problem, choosing suitable algorithms, and developing predictive models. This practical application is designed to cement the theoretical knowledge acquired and enhance problem-solving skills in data science. Learning Outcomes Build a foundational understanding of data science and its practical relevance. Develop proficiency in managing various data types and conducting descriptive analysis. Learn and implement effective data cleaning and feature engineering techniques. Cultivate a 'data thinking' approach for insightful data analysis. Apply data science methodologies to real-life problems using algorithmic and predictive techniques. Why choose this Quick Data Science Approach from Scratch 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. Who is this Quick Data Science Approach from Scratch course for? Novices aiming to enter the data science field. Sector professionals integrating data science into their expertise. Academicians and learners incorporating data science in academic pursuits. Business strategists utilizing data science for enhanced decision-making. Statisticians and analysts broadening their expertise into the data science domain. Career path Entry-Level Data Scientist: £25,000 - £40,000 Beginner Data Analyst: £22,000 - £35,000 Emerging Business Intelligence Specialist: £28,000 - £45,000 Data-Focused Research Scientist: £30,000 - £50,000 Novice Machine Learning Practitioner: £32,000 - £55,000 Data System Developer (Starter): £26,000 - £42,000 Prerequisites This Quick Data Science Approach from Scratch does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Quick Data Science Approach from Scratch 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. Course Curriculum Section 01: Course Overview & Introduction to Data Science Introduction 00:02:00 Data Science Explanation 00:05:00 Need of Data Science 00:02:00 8 Common mistakes by Aspiring Data Scientists/Data Science Enthusiasts 00:08:00 Myths about Data Science 00:03:00 Section 02: Data Science Concepts Data Types and Variables 00:04:00 Descriptive Analysis 00:02:00 Data Cleaning 00:02:00 Feature Engineering 00:02:00 Data Thinking Development 00:03:00 Section 03: A Real Life Problem Problem Definition 00:05:00 Algorithms 00:14:00 Prediction 00:03:00 Learning Methods 00:05:00 Assignment Assignment - Quick Data Science Approach from Scratch 00:00:00

Dive deep into the electrifying realm of electrical power systems and high-voltage engineering. 'Electrical Power System and High Voltage Engineering' paves the way for enthusiasts to harness the power of cutting-edge electrical innovations. Through eight meticulously structured modules, learners get an intricate glimpse into the diverse types of high voltage, their generation, and the nuances of AC and DC voltages. As you delve deeper, you're not just gaining insights; you're powering your potential in a high-voltage sector. Learning Outcomes Grasp foundational concepts of the electrical power system and high voltage. Differentiate among the various types of high voltage. Understand the processes involved in generating high-voltage AC at different frequencies. Acquire knowledge on impulse high voltage generation. Gain proficiency in the techniques of high-voltage DC generation. Why choose this Electrical Power System and High Voltage Engineering course? 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 Electrical Power System and High Voltage Engineering 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 Electrical Power System and High Voltage Engineering course for? Engineering students keen on specialising in power systems. Electrical engineers looking to upgrade their knowledge. Professionals in the power sector aiming for deeper insights. Technical consultants in the energy domain. Innovators eager to understand the intricacies of high voltage engineering. Career path Power System Engineer: £35,000 - £60,000 High Voltage Engineer: £40,000 - £65,000 Electrical Design Engineer: £30,000 - £55,000 Technical Project Manager in Power Systems: £45,000 - £70,000 Transmission Line Engineer: £38,000 - £63,000 Power System Analyst: £37,000 - £61,000 Prerequisites This Electrical Power System and High Voltage Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Power System and High Voltage Engineering 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. Course Curriculum Electrical Power System and High Voltage Engineering Module 1- Introduction to Electrical Power System and High Voltage 00:25:00 Module 2- Types of High Voltage 00:17:00 Module 3- Generation of High Voltage AC at Power Frequency 00:30:00 Module 4- Generation of High Voltage High Frequency AC 00:14:00 Module 5- Generation of High Voltage Impulse Part 1 00:37:00 Module 6- Generation of High Voltage Impulse Part 2 00:14:00 Module 7- Generation of High Voltage DC Part 1 00:43:00 Module 8- Generation of High Voltage DC Part 2 00:45:00

The 'MATLAB Simulink for Electrical Power Engineering' course focuses on practical applications and simulations using MATLAB and Simulink for power electronics, solar energy, DC motors, synchronous generators, and induction motors. It aims to provide participants with hands-on experience in electrical power engineering simulations and analysis using MATLAB and Simulink. Learning Outcomes: Understand the applications of matrices in MATLAB and solve non-linear equations using appropriate functions. Simulate power electronics circuits, including rectifiers, choppers, regulators, and inverters, using Simulink in MATLAB. Analyze and simulate solar energy systems and separately excited DC machines in MATLAB. Model and simulate synchronous generators connected to a small power system using MATLAB and Simulink. Simulate induction motors and study their equivalent circuits and torque-speed characteristics using Simulink. Implement PID controllers in Simulink and tune them for effective control in power systems simulations. Acquire hands-on skills in using MATLAB and Simulink to perform various electrical power engineering simulations. Apply MATLAB and Simulink tools to solve practical electrical power engineering problems. Develop an in-depth understanding of power electronics, motor simulations, and solar energy systems. Successfully complete the course with the ability to perform advanced electrical power engineering simulations using MATLAB and Simulink. Why buy this MATLAB Simulink for Electrical Power Engineering? 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 MATLAB Simulink for Electrical Power Engineering 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 course for? This MATLAB Simulink for Electrical Power Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This MATLAB Simulink for Electrical Power Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This MATLAB Simulink for Electrical Power Engineering 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This MATLAB Simulink for Electrical Power Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 1- Applications on Matrices in MATLAB Module 1- Solving One Non Linear Equation in MATLAB Using Fzero Function 00:15:00 Module 2-Example 1 on Solving Multiple Non Linear Equations in MATLAB Using Fsolve Function 00:15:00 Module 3- Example 2 on Solving Multiple Non Linear Equations in Matlab Using Fsolve 00:13:00 Module 4-Application Multi Level Inverter Part 1 00:25:00 Module 5- Application Multi Level Inverter Part 2 00:05:00 Unit 2-Power Electronics Simulations Using Simulink in MATLAB Module 1-Introduction to MATLAB Simulations Using Simulink 00:04:00 Module 2-Half Wave Uncontrolled Rectifier with R Load Principle of Operation 00:21:00 Module 3- Half Wave Controlled Rectifier R Load Principle of Operation 00:05:00 Module 4-Simulation of Half Wave Controlled Rectifier Using Simulink In Matlab 00:26:00 Module 5- Principle of Operation of Fully Controlled Bridge Rectifier Part 1 00:06:00 Module 6- Principle of Operation of Fully Controlled Bridge Rectifier Part 2 00:06:00 Module 7-Simulation of Bridge Controlled Rectifier 00:16:00 Module 8-AC Chopper with R Load Principle of Operation 00:14:00 Module 9- Simulation of AC Chopper with R and RL Loads in MATLAB 00:11:00 Module 10- Buck Regulator Principle of Operation Part 1 00:16:00 Module 11-Buck Regulator Principle of Operation Part 2 00:17:00 Module 12-Simulation of Buck Regulator in MATLAB 00:14:00 Module 13-Boost Regulator Principle of Operation 00:23:00 Module 14- Simulation of Boost Regulator in MATLAB 00:12:00 Module 15-Buck-Boost Regulator Principle of Operation 00:17:00 Module 16- Simulation of Buck-Boost Regulator 00:09:00 Module 17- Single Phase Half Bridge R-Load 00:15:00 Module 18- Single Phase Half Bridge RL-Load 00:08:00 Module 19-Simulation of Single Phase Half Bridge Inverter 00:18:00 Module 20-Single Phase Bridge Inverter R-Load 00:06:00 Module 21-Single Phase Bridge Inverter RL-Load 00:07:00 Module 22-Simulation of Single Phase Bridge Inverter 00:10:00 Module 23-Three Phase Inverters and Obtaining The Line Voltages 00:15:00 Module 24-Three Phase Inverters and Obtaining The Phase Voltages 00:17:00 Module 25-Simulation of Three Phase Inverter 00:17:00 Module 26-Simulation of Charging and Discharging Capacitor Using Matlab 00:10:00 Unit 3- Solar Energy Simulation Using Simulink in MATLAB Module 1-Separately Excited DC Machine 00:21:00 Module 2-DC Motor Modelling without Load Using Simulink in MATLAB 00:25:00 Module 3-DC Motor Modelling with Load Using Simulink in MALTAB 00:23:00 Module 4-DC Motor Block Simulation Using Power Library in MATLAB 00:16:00 Unit 4- DC Motor Simulation Using Simulink in MATLAB Module 1-Construction and Principle of Operation of Synchronous Generator 00:29:00 Module 2-Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine 00:29:00 Module 3-Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine 00:39:00 Module 4-Simulation of Synchronous Machine Connected to Small Power System 00:38:00 Unit 5- Induction Motor Simulation Using Simulink in MATLAB Module 1-Construction and Theory of Operation of Induction Machines 00:27:00 Module 2-Equivalent Circuit and Power Flow in Induction Motor 00:23:00 Module 3-Torque-Speed Characteristics of Induction Motor 00:20:00 Module 4- Simulation of Induction Motor or Asynchronous Motor Using Simulink 00:33:00 Unit 6- Synchronous Generator Simulation in Simulink of MATLAB Module 1- Importing Data from PSCAD Program for Fault Location Detection to MATLAB Program 00:37:00 Unit 7- Power System Simulations Module 1-How to Implement PID Controller in Simulink of MATLAB 00:14:00 Module 2-Tuning a PID Controller In MATLAB Simulink 00:17:00 Assignment Assignment - MATLAB Simulink for Electrical Power Engineering 00:00:00

Ignite your passion for the electrifying world with our course on 'Electrical Engineering With Electric Circuits'. Envision the realm where electricity comes alive, weaving intricate patterns that power our world. Journey with us as we illuminate foundational concepts, delve deep into circuit analysis, and unveil the magic behind operational amplifiers. With each unit, you'll unravel the mysteries of capacitors, inductors, and the fundamental laws governing them, forging a path towards mastery in electrical engineering. Learning Outcomes Develop a solid understanding of the foundational concepts in electrical engineering. Discover and apply the basic laws governing electric circuits. Employ various methods to analyse complex electrical circuits. Understand the principles behind circuit theorems and operational amplifiers. Gain proficiency in working with capacitors and inductors. Why choose this Electrical Engineering With Electric Circuits course? 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 Electrical Engineering With Electric Circuits 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 Electrical Engineering With Electric Circuits course for? Aspiring electrical engineers seeking foundational knowledge. Technicians aiming for a deeper understanding of electric circuits. University students studying electrical engineering as a major. Hobbyists keen on diving into the world of circuits and electronics. Professionals in related fields aiming to expand their skill set. Career path Electrical Engineer: £25,000 - £55,000 Circuit Designer: £28,000 - £50,000 Operational Amplifier Specialist: £30,000 - £54,000 Electronics Technician: £20,000 - £40,000 System Analyst (Electrical Circuits): £32,000 - £57,000 Researcher in Electrical Engineering: £28,000 - £52,000 Prerequisites This Electrical Engineering With Electric Circuits does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Engineering With Electric Circuits 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. Course Curriculum Unit 1- Basic Concepts Module 1- What Is an Electric Circuit 00:02:00 Module 2-System of Units 00:07:00 Module 3- What Is an Electric Charge 00:05:00 Module 4- What Is an Electric Current 00:08:00 Module 5-Example 1 00:01:00 Module 6- Example 2 00:05:00 Module 7- Example 3 00:02:00 Module 8- What Is Voltage 00:07:00 Module 9- What Is Power 00:06:00 Module 10- What Is Energy 00:04:00 Module 11- Example 4 00:03:00 Module 12-Example 5 00:03:00 Module 13- Dependent and Independent Sources 00:05:00 Module 14- Example 6 Part 1 00:04:00 Module 15- Example 6 Part 2 00:01:00 Module 16- Application 1 Cathode Ray Tube 00:04:00 Module 17-Example 7 00:04:00 Module 18- Application 2 Electricity Bills 00:02:00 Module 19- Example 8 00:03:00 Unit 2- Basic Laws Module 1- Introduction to Basic Laws 00:01:00 Module 2- Definition of Resistance 00:06:00 Module 3- Ohm's Law 00:02:00 Module 4- Types of Resistances 00:06:00 Module 5- Open and Short Circuit 00:05:00 Module 6- Definition of Conductance 00:04:00 Module 7- Example 1 00:02:00 Module 8- Example 2 00:03:00 Module 9-Example 3 00:05:00 Module 10- Branch, Node and Loops 00:07:00 Module 11- Series and Parallel Connection 00:04:00 Module 12- KCL 00:04:00 Module 13- KVL 00:03:00 Module 14- Example 4 00:05:00 Module 15- Example 5 00:02:00 Module 16- Example 6 00:06:00 Module 17- Series Resistors and Voltage Division 00:07:00 Module 18-Parallel Resistors and Current Division 00:12:00 Module 19- Analogy between Resistance and Conductance 00:07:00 Module 20-Example 7 00:03:00 Module 21-Example 8 00:04:00 Module 22- Introduction to Delta-Wye Connection 00:06:00 Module 23-Delta to Wye Transformation 00:05:00 Module 24- Wye to Delta Transformation 00:07:00 Module 25-Example 9 00:03:00 Module 26- Example 10 00:15:00 Module 27- Application Lighting Bulbs 00:03:00 Module 28-Example 11 00:05:00 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis 00:02:00 Module 2- Nodal Analysis with No Voltage Source 00:15:00 Module 3-Example 1 00:04:00 Module 4-Cramer's Method 00:04:00 Module 5-Nodal Analysis with Voltage Source 00:07:00 Module 6- Example 2 00:02:00 Module 7- Example 3 00:13:00 Module 8-Mesh Analysis with No Current Source 00:10:00 Module 9-Example 4 00:04:00 Module 10- Example 5 00:06:00 Module 11-Mesh Analysis with Current Source 00:07:00 Module 12-Example 6 00:08:00 Module 13-Nodal Vs Mesh Analysis 00:04:00 Module 14-Application DC Transistor 00:04:00 Module 15-Example 7 00:04:00 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems 00:02:00 Module 2-Linearity of Circuit 00:07:00 Module 3-Example 1 00:04:00 Module 4-Superposition Theorem 00:07:00 Module 5- Example 2 00:04:00 Module 6-Example 3 00:06:00 Module 7-Source Transformation 00:08:00 Module 8-Example 4 00:05:00 Module 9-Example 5 00:03:00 Module 10-Thevenin Theorem 00:10:00 Module 11-Example 6 00:06:00 Module 12-Example 7 00:05:00 Module 13- Norton's Theorem 00:05:00 Module 14-Example 8 00:04:00 Module 15-Example 9 00:05:00 Module 16-Maximum Power Transfer 00:05:00 Module 17-Example 10 00:03:00 Module 18-Resistance Measurement 00:05:00 Module 19-Example 11 00:01:00 Module 20-Example 12 00:04:00 Module 21-Summary 00:05:00 Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers 00:03:00 Module 2-Construction of Operational Amplifiers 00:07:00 Module 3-Equivalent Circuit of non Ideal Op Amp 00:10:00 Module 4-Vo Vs Vd Relation Curve 00:04:00 Module 5-Example 1 00:09:00 Module 6-Ideal Op Amp 00:07:00 Module 7- Example 2 00:04:00 Module 8-Inverting Amplifier 00:05:00 Module 9-Example 3 00:02:00 Module 10-Example 4 00:02:00 Module 11-Non Inverting Amplifier 00:08:00 Module 12-Example 5 00:03:00 Module 13-Summing Amplifier 00:05:00 Module 14-Example 6 00:02:00 Module 15-Difference amplifier 00:06:00 Module 16-Example 7 00:08:00 Module 17-Cascaded Op Amp Circuits 00:06:00 Module 18-Example 8 00:04:00 Module 19-Application Digital to Analog Converter 00:06:00 Module 20-Example 9 00:04:00 Module 21-Instrumentation Amplifiers 00:05:00 Module 22-Example 10 00:01:00 Module 23-Summary 00:04:00 Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors 00:02:00 Module 2-Capacitor 00:06:00 Module 3-Capacitance 00:02:00 Module 4-Voltage-Current Relation in Capacitor 00:03:00 Module 5-Energy Stored in Capacitor 00:06:00 Module 6-DC Voltage and Practical Capacitor 00:02:00 Module 7-Example 1 00:01:00 Module 8-Example 2 00:01:00 Module 9-Example 3 00:05:00 Module 10-Equivalent Capacitance of Parallel Capacitors 00:02:00 Module 11-Equivalent Capacitance of Series Capacitors 00:03:00 Module 12-Example 4 00:02:00 Module 13-Definition of Inductors 00:06:00 Module 14-Definition of Inductance 00:03:00 Module 15-Voltage-Current Relation in Inductor 00:03:00 Module 16-Power and Energy Stored in Inductor 00:02:00 Module 17-DC Source and Inductor 00:04:00 Module 18-Example 5 00:02:00 Module 19-Series Inductors 00:03:00 Module 20-Parallel Inductors 00:04:00 Module 21-Example 6 00:01:00 Module 22-Small Summary to 3 Basic Elements 00:02:00 Module 23-Example 7 00:05:00 Module 24-Application Integrator 00:05:00 Module 25-Example 8 00:03:00 Module 26-Application Differentiator 00:02:00 Module 27-Example 9 00:06:00 Module 28-Summary 00:05:00 Assignment Assignment - Electrical Engineering With Electric Circuits 00:00:00

Criminal Law is essential for keeping our communities safe and ensuring fairness. This course strips away the complexity, giving you a clear view of what it takes to understand and apply the laws that define and deal with crimes. You'll get to grips with the real issues that law professionals grapple with daily, and see how tackling these issues head-on can lead to a more just society.   With each module, you'll find yourself getting to the heart of what makes laws work and why they're so crucial for society's well-being. From the adrenaline-fueled chase of crime prevention to the meticulous analysis needed for a fair trial, you'll learn the ropes of what it takes to uphold the law. It's not just about knowing the rules; it's about understanding how they protect us all.   Knowing about criminal law isn't just for lawyers and police officers. It's valuable knowledge that enhances your awareness of the world and your place in it. By the end of this course, you won't just watch the news; you'll interpret it. You won't just follow rules; you'll appreciate their role in your daily life. This course is a step towards being more informed, involved, and invested in the well-being of your community.   Learning Outcomes Understand the foundational principles and structure of Criminal Law. Identify the critical elements that constitute a crime. Assess the roles of individuals in crimes, including accomplices. Evaluate the key processes from police investigation to prosecution. Analyse the principles guiding sentencing and crime prevention. Examine the legal definitions and responses to major crimes. Investigate the impact of criminal law on society and individuals.   Who is this course for Aspiring criminologists and legal practitioners. Law enforcement officials seeking deeper legal insights. Legal studies students interested in criminal law specialization. Professionals in security and crime prevention sectors. Community workers and policymakers focused on justice and safety.   Why Choose This 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.   Career Path Criminal Lawyer: £25,000 - £100,000+ per annum. Police Detective: £30,000 - £60,000 per annum. Forensic Psychologist: £31,000 - £87,000 per annum. Probation Officer: £22,000 - £37,000 per annum. Criminologist: £20,000 - £40,000 per annum. Prerequisites No previous qualifications or experiences are necessary to embark on this Criminology: Criminal Law journey. Crafted by seasoned experts, this course is accessible across a myriad of digital platforms, offering the flexibility to learn at your convenience with a stable internet connection.   Certification Upon completion of the course content, a written evaluation awaits learners. Passing this assessment allows for the acquisition of a digital certificate at a nominal fee of £4.99 GBP. If a physical certificate is desired, it can be procured for an additional charge of £8. Course Curriculum Module 01: Introduction to Criminal Law Introduction to Criminal Law 00:19:00 Module 02: Elements of a Crime Elements of a Crime 00:27:00 Module 03: Incitement, Conspiracy and Attempt Incitement, Conspiracy and Attempt 00:27:00 Module 04: Accomplice Accomplice 00:26:00 Module 05: Crime Prevention Crime Prevention 00:27:00 Module 06: The Police The Police 00:33:00 Module 07: Prosecution, Caution and Diversion Prosecution, Caution and Diversion 00:26:00 Module 08: Youth Justice Youth Justice 00:23:00 Module 09: The Trial The Trial 00:26:00 Module 10: Sentencing Process Sentencing Process 00:25:00 Module 11: Homicide Homicide 00:31:00 Module 12: Offences against Person Offences against Person 00:21:00 Module 13: Sexual Offences Sexual Offences 00:20:00 Module 14: Theft Theft 00:22:00 Module 15: Blackmail, Robbery & Burglary Blackmail, Robbery & Burglary 00:22:00 Module 16: White-Collar Crime White-Collar Crime 00:25:00 Module 17: Terrorism & Law Terrorism & Law 00:23:00 Module 18: Property Offences Property Offences 00:22:00 Module 19: Cybercrime & Piracy Cybercrime & Piracy 00:29:00 Module 20: Prisons Prisons 00:26:00 Module 21: Probation Service Probation Service 00:26:00 Module 22: War Crimes War Crimes 00:34:00 Assignment Assignment - Criminology: Criminal Law 00:00:00

  Preparing for GCSE examinations is a crucial step towards a successful academic journey. Functional Skills Maths Level 2 (GCSE Preparation) is designed to equip learners with the essential mathematical skills needed to excel in these exams. Mathematics can often be a challenging subject, and many students face difficulties in mastering its concepts. Our course is here to address this problem and provide the necessary tools for success.   Preparing for GCSE exams is a pivotal step in one's academic journey, and the Functional Skills Maths Level 2 (GCSE Preparation) course offers essential knowledge across a diverse curriculum. From mastering numbers and fractions to unlocking the world of percentages and algebraic expressions, this course equips learners with the mathematical tools they need to succeed.    The importance of mathematics in daily life cannot be overstated. It is the foundation of problem-solving, critical thinking, and analytical skills. The main problem our course solves is the lack of confidence and proficiency in mathematics. By completing this course, learners will gain the knowledge and skills required to approach GCSE exams with confidence. The benefits of solving this problem include improved academic performance, enhanced problem-solving abilities, and increased career prospects.   Learning Outcomes Apply mathematical principles to solve real-life problems confidently. Understand and work with numbers, including negative numbers. Comprehend multiples, factors, and their applications. Master fractions, powers, and their practical use. Calculate percentages and their relevance in various scenarios. Manipulate expressions and equations effectively. Demonstrate proficiency in working with decimals. Apply ratio and proportion concepts in practical situations. Solve problems involving exponents and radicals. Interpret and create graphs to represent data accurately.   Who is this course for? Students preparing for GCSE mathematics examinations. Adults looking to refresh and strengthen their math skills. Anyone seeking to improve their proficiency in mathematics. Individuals aspiring to pursue careers in science, engineering, or finance. Teachers or tutors aim to enhance their math teaching skills.   Why Choose This 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.   Career Path Teaching Assistant: £15,000 - £25,000 Data Analyst: £20,000 - £40,000 Financial Analyst: £25,000 - £60,000 Engineering Technician: £20,000 - £40,000 Science Researcher: £25,000 - £50,000   Prerequisite No prior qualifications or experience are necessary to enrol in the Functional Skills Maths Level 2 (GCSE Preparation) course. This course was created by professionals and is compatible with various devices, including PCs, Macs, tablets, and smartphones. As long as you have a reliable internet connection, you can access the course from anywhere at any time.   Certification Upon completion of the course content, a written evaluation awaits learners. Passing this assessment allows for the acquisition of a digital certificate at a nominal fee of £4.99 GBP. If a physical certificate is desired, it can be procured for an additional charge of £8. Course Curriculum Functional Skills Maths Level 2 Module 01: Numbers and Negative Numbers 00:30:00 Module 02: Multiples Factors 00:25:00 Module 03: Fractions and Power 01:10:00 Module 04: Percentages 00:35:00 Module 05: Expressions 00:40:00 Module 06: Decimals 00:35:00 Module 07: Ratio and Proportion 00:45:00 Module 08: Exponents and Radicals 00:50:00 Module 09: Graphs 00:50:00 Module 10: The Profit and Loss 00:30:00 Module 11: Perimeter and Area 00:45:00 Module 12: Averages 00:40:00 Module 13: Probability 00:35:00 Assignment Assignment - Functional Skills Maths Level 2 00:00:00