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Drug and Alcohol: Drug and Alcohol Awareness Course Online Unlock the Power of Drug and Alcohol: Drug and Alcohol Awareness Course: Enrol Now! In recent years, there has been an increase in drug, alcohol, and substance misuse in the United Kingdom. Drugs may destroy people's lives, and some of the most commonly used drugs, such as cocaine, cannabis, LSD, and heroin, lead to addiction that users cannot overcome. Managers in any workplace are uniquely placed to detect early signs of drug or alcohol abuse and put structures in place to minimize the damaging health, social, and economic effects of substance misuse in the UK. Learning Objectives After completing this Drug and Alcohol: Drug and Alcohol Awareness Course, the learner will be able to: Understand the fundamentals of substance misuse. Demonstrate a thorough understanding of the different types of illegal drugs. Understand the legal, health, and social implications of drug and alcohol abuse. Understand how organizations and individuals are expected to handle substance misuse issues. Demonstrate an understanding of the statistics on drug and alcohol abuse in the UK. Describe the various types of drug treatment services available in the UK. Plan a drug intervention and understand when someone requires assistance. Main Course: Drug and Alcohol Awareness Training Free Courses included with Drug and Alcohol: Drug and Alcohol Awareness Course: Course 01: Level 2 Award in Suicide Awareness Course 02: Level 5 Mental Health Care - MCA and DOLS Course 03: Diploma in Counselling and Psychology [ Note: Free PDF certificate as soon as completing the Drug and Alcohol: Drug and Alcohol Awareness Course] Drug and Alcohol: Drug and Alcohol Awareness Course Online This Drug and Alcohol: Drug and Alcohol Awareness Course consists of 06 modules. Assessment Method of Drug and Alcohol: Drug and Alcohol Awareness Course After completing Drug and Alcohol: Drug and Alcohol Awareness Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Drug and Alcohol: Drug and Alcohol Awareness Course After completing the Drug and Alcohol: Drug and Alcohol Awareness Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Drug and Alcohol: Drug and Alcohol Awareness Course Online This Drug and Alcohol: Drug and Alcohol Awareness Course is ideal for those working in high-risk industries like hospitality and construction and anyone who manages or works with vulnerable people like adolescents. Requirements Drug and Alcohol: Drug and Alcohol Awareness Course Online To enrol in this Drug and Alcohol: Drug and Alcohol Awareness Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Drug and Alcohol: Drug and Alcohol Awareness Course. Be energetic and self-motivated to complete our Drug and Alcohol: Drug and Alcohol Awareness Course. Basic computer Skill is required to complete our Drug and Alcohol: Drug and Alcohol Awareness Course. If you want to enrol in our Drug and Alcohol: Drug and Alcohol Awareness Course, you must be at least 15 years old. Career path Drug and Alcohol: Drug and Alcohol Awareness Course Online

Drug and Alcohol Awareness: Drug and Alcohol Awareness Online Introducing Drug and Alcohol Awareness: Drug and Alcohol Awareness Course "Empowering the Next Generation" Online course! In recent years, there has been an increase in drug, alcohol, and substance misuse in the United Kingdom. Drugs may destroy people's lives, and some of the most commonly used drugs, such as cocaine, cannabis, LSD, and heroin, lead to addiction that users cannot overcome. Managers in any workplace are uniquely placed to detect early signs of drug or alcohol abuse and put structures in place to minimise the damaging health, social, and economic effects of substance misuse in the UK. Learning Objectives After completing this Drug and Alcohol Awareness: Drug and Alcohol Awareness course, the learner will be able to: Understand the fundamentals of substance misuse. Demonstrate a thorough understanding of the different types of illegal drugs. Understand the legal, health, and social implications of drug and alcohol abuse. Understand how organisations and individuals are expected to handle substance misuse issues. Demonstrate an understanding of the statistics on drug and alcohol abuse in the UK. Describe the various types of drug treatment services available in the UK. Plan a drug intervention and understand when someone requires assistance. Main Course: Drug and Alcohol Awareness Training Free Courses included with Drug and Alcohol Awareness: Drug and Alcohol Awareness Course: Course 01: Domestic Violence and Abuse Awareness Diploma Course 02: Level 2 Award in Suicide Awareness Course 03: Level 5 Mental Health Care - MCA and DOLS [ Note: Free PDF certificate as soon as completing Drug and Alcohol Awareness: Drug and Alcohol Awareness Course] Drug and Alcohol Awareness: Drug and Alcohol Awareness Online This Alcohol Awareness: Alcohol Awareness Course consists of 06 modules. Course Curriculum of Drug and Alcohol Awareness: Drug and Alcohol Awareness Module 01: Introduction Module 02: Historical Overview Module 03: Nature of Addiction Module 04: Policy Initiatives and Strategy in Alcohol and Drug Use Module 05: Understanding Alcohol Abuse Module 06: Drug Addiction & Abuse Assessment Method of Drug and Alcohol Awareness: Drug and Alcohol Awareness After completing Drug and Alcohol Awareness: Drug and Alcohol Awareness Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Drug and Alcohol Awareness: Drug and Alcohol Awareness After completing the Drug and Alcohol Awareness: Drug and Alcohol Awareness course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Drug and Alcohol Awareness: Drug and Alcohol Awareness Online This Drug and Alcohol Awareness: Drug and Alcohol Awareness course is ideal for those working in high-risk industries like hospitality and construction and anyone who manages or works with vulnerable people like adolescents. Requirements Drug and Alcohol Awareness: Drug and Alcohol Awareness Online To enrol in this Drug and Alcohol Awareness: Drug and Alcohol Awareness Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Drug and Alcohol Awareness Course. Be energetic and self-motivated to complete our Drug and Alcohol Awareness Course. Basic computer Skill is required to complete our Drug and Alcohol Awareness: Drug and Alcohol Awareness Course. If you want to enrol in our Drug and Alcohol Awareness: Drug and Alcohol Awareness Course, you must be at least 15 years old. Career path Drug and Alcohol Awareness: Drug and Alcohol Awareness Online

Mastering Psychology Diploma Course Online Psychology is an extremely versatile discipline because it attempts to understand, explain, and predict many aspects of human behaviour, making it applicable to a wide range of sectors, which includes business and social work, as well as traditional roles within psychology. This Mastering Psychology - Diploma course is designed for those interested in a specialist area of psychology or who prefer to take a more general path. Why choose this Mastering Psychology - Diploma course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. This Mastering Psychology course aims to help you understand and evaluate classic and contemporary psychology. The Mastering Psychology - Diplomacourse provides in-depth knowledge and understanding of consciousness, developmental psychology, social psychology, perception, and behaviour. Main Course: Mastering Psychology - Diploma Free Courses included with Mastering Psychology Diploma Course Course 01: Psychological Wellbeing Practitioner Course 02: Diploma in Counselling and Psychology Course 03: Clinical Psychology Diploma [ Note: Free PDF certificate as soon as completing the Mastering Psychology Diploma course] Mastering Psychology - Diploma Online Course Curriculum of Mastering Psychology - Diploma Course Module 01: Concepts of Psychology Module 02: Biological Behaviour of Psychology Module 03: Sensation and Perception Module 04: Consciousness Module 05: Learning Module 06: Introduction to Intelligence Module 07: Memory Module 08: Emotions Module 09: Motivation Module 10: Developmental Psychology Module 11: Behaviours (Personality) Module 12: Social Psychology Module 13: Persuasion Module 14: Psychological Disorders Module 15: Psychological Therapy Module 16: Intro to Statistics, Tests and Measmenture Assessment Method of Mastering Psychology - Diploma Course After completing Mastering Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Mastering Psychology - Diploma Course After completing the Mastering Psychology course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Mastering Psychology Diploma Course Online This Mastering Psychology - Diploma course is ideal for those interested in studying people and their behaviour and who want to learn more about how the human mind works. It is also suitable for those who want to learn the main elements of psychology. Requirements Mastering Psychology Diploma Course Online To enrol in this Mastering Psychology - Diploma Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Mastering Psychology - Diploma Course. Be energetic and self-motivated to complete our Mastering Psychology - Diploma Course. Basic computer Skill is required to complete our Mastering Psychology - Diploma Course. If you want to enrol in our Mastering Psychology - Diploma Course, you must be at least 15 years old. Career path Mastering Psychology Diploma Course Online There are several roles in Mastering Psychology - Diploma Course and many different ways to climb the ladder to the top, and a few of these career opportunities are listed below: Psychologist Clinical Psychologist Counsellor Child Psychologist Health Psychologist Occupational Psychologist

Getting Started The Master of Business Administration Top Up is a prestigious postgraduate qualification that leading employers highly value. The programme is designed to enhance business managers' strategic thinking and decision-making and develop their critical understanding of business management. The programme is designed for individuals who hold a Qualifi Level 7 Diploma in Strategic Management and Leadership. This programme covers the core business sectors: entrepreneurship, marketing, accounting, statistics, finance, business ethics, business law, managerial economics, business strategy and analysis, operations, administration and communication. This programme, qualified from UK business schools, is well acknowledged and globally respected as it dominates critical thinking and research. MBA can also help you specialise in a new industry you want to move to or in your current sector. This professional qualification improves the chances of progression in a career path. This qualification helps the learner to oversee, supervise and allocate the operations in a business firm. The programme aims to make the candidate capable of understanding the functional aspects of a company and acquiring the skills for communication and decision-making. The MBA Top-Up programme is awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Major Project No examinations Entry Requirements Qualifi Level 7 Diploma in Strategic Management and Leadership or any equivalent diploma Further, candidates are also required to demonstrate their English language proficiency. Progression An MBA graduate can pursue a fruitful career in many industries. MBA can open career opportunities in various sectors such as banking and financial services, investment banking, management consulting, insurance, hospitality, media, information technology (IT) and marketing. MBA is often a pathway to promotion or a career change as you will gain a professional reputation and develop essential skills in the sector one chooses to pursue. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MBA Top-Up Programme Structure Dissertation (Major Project) Delivery Methods The MBA Top-Up programme is awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Clinical Psychology: Clinical Psychology Online Unlock the Power of Clinical Psychology: Clinical Psychology Course: Enrol Now! Are you looking to develop or establish a career in psychology or counselling? Then this Clinical Psychology: Clinical Psychology course is perfect for you. Our Clinical Psychology: Clinical Psychology course is divided into several manageable modules ideal for aspiring professionals, allowing our students to easily grasp each concept. The Clinical Psychology: Clinical Psychology course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Through this Clinical Psychology: Clinical Psychology course, you will learn about psychiatric disorders in adults, children, and adolescents and the symptoms and treatment of schizophrenia, anorexia nervosa, depression, and other conditions. By the end of the Clinical Psychology: Clinical Psychology course, you will have the professional skills, knowledge, and credentials to pursue a broad range of careers in this field, such as child psychology, CBT therapy, and behavioral therapy. Main Course: Diploma in Clinical Psychology Free Courses included with Clinical Psychology: Clinical Psychology Course: Course 01: Introduction to Psychology Course 02: Diploma in Mastering Psychology Course 03: Diploma in Counselling and Psychology Course 04: Level 5 Mental Health Care – MCA and DOLS Course 05: Adults Support Worker Course Special Offers of this Clinical Psychology: Clinical Psychology Course: This Clinical Psychology: Clinical Psychology Course includes a FREE PDF Certificate. Lifetime access to this Clinical Psychology: Clinical Psychology Course Instant access to this Clinical Psychology: Clinical Psychology Course 24/7 Support Available to this Clinical Psychology: Clinical Psychology Course [Note: Free PDF certificate as soon as completing the Clinical Psychology: Diploma in Clinical Psychology course] Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course consists of 12 modules. Course Curriculum of Clinical Psychology: Clinical Psychology Course Module 01: An Overview of Mental Health Module 02: Different Viewpoints in Psychology Module 03: Social Psychology Module 04: Utilising Cognitive Psychology Module 05: Understanding Childhood and Adolescent Psychiatric Disorders Module 06: Understanding Stress and Anxiety Disorders Module 07: Understanding Schizophrenia Module 08: Understanding Personality Disorders Module 09: Understanding Mood Disorders Module 10: Understanding Eating & Sleeping Disorders Module 11: Understanding Self-Harm and Suicide Module 12: Treating Mental Illness: Medication and Therapy Assessment Method of Clinical Psychology: Clinical Psychology After completing Clinical Psychology: Clinical Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Clinical Psychology: Clinical Psychology After completing the Clinical Psychology: Clinical Psychology course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course is ideal for anyone looking to start a career in the field of psychology or counselling, which includes the following related professions: Child Psychologist CBT Therapist Counsellor Requirements Clinical Psychology: Clinical Psychology Online To enrol in this Clinical Psychology: Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Clinical Psychology: Clinical Psychology Course. Be energetic and self-motivated to complete our Clinical Psychology: Clinical Psychology Course. Basic computer Skill is required to complete our Clinical Psychology: Clinical Psychology Course. If you want to enrol in our Clinical Psychology: Clinical Psychology Course, you must be at least 15 years old. Career path Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course will prepare you for a variety of career paths, including the following: Psychology Assistant - £20,000 to £30,000 per annum Psychologist - £35,000 to £45,000 per annum Psychiatrist - £45,000 to £60,000 per annum Clinical Counselling Psychologist- £45,000 to £50,000 per annum

Clinical Psychology: Clinical Psychology Online Are you looking to develop or establish a career in psychology or counselling? Then this Clinical Psychology: Clinical Psychology course is perfect for you. Our Clinical Psychology: Clinical Psychology course is divided into several manageable modules ideal for aspiring professionals, allowing our students to easily grasp each concept. The Clinical Psychology: Clinical Psychology course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Through this Clinical Psychology: Clinical Psychology course, you will learn about psychiatric disorders in adults, children, and adolescents and the symptoms and treatment of schizophrenia, anorexia nervosa, depression, and other conditions. By the end of the Clinical Psychology: Clinical Psychology course, you will have the professional skills, knowledge, and credentials to pursue a broad range of careers in this field, such as child psychology, CBT therapy, and behavioural therapy. Our comprehensive Clinical Psychology: Clinical Psychology course is the perfect way to kickstart your career in the field of psychology. The Clinical Psychology: Clinical Psychology course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. Main Course: Diploma in Clinical Psychology Free Courses included with Clinical Psychology: Clinical Psychology Course Course 01: Mental Health Care Course Course 02: Introduction to Psychology Course 03: Diploma in Counselling and Psychology [Note: Free PDF certificate as soon as completing the Clinical Psychology: Clinical Psychology course] Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course consists of 12 modules. Course Curriculum of Clinical Psychology: Clinical Psychology Course Module 01: An Overview of Mental Health Module 02: Different Viewpoints in Psychology Module 03: Social Psychology Module 04: Utilising Cognitive Psychology Module 05: Understanding Childhood and Adolescent Psychiatric Disorders Module 06: Understanding Stress and Anxiety Disorders Module 07: Understanding Schizophrenia Module 08: Understanding Personality Disorders Module 09: Understanding Mood Disorders Module 10: Understanding Eating & Sleeping Disorders Module 11: Understanding Self-Harm and Suicide Module 12: Treating Mental Illness: Medication and Therapy Assessment Method of Clinical Psychology: Clinical Psychology After completing Clinical Psychology: Clinical Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Clinical Psychology: Clinical Psychology After completing the Clinical Psychology: Clinical Psychology course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course is ideal for anyone looking to start a career in the field of psychology or counselling, which includes the following related professions: Child Psychologist CBT Therapist Counsellor Requirements Clinical Psychology: Clinical Psychology Online To enrol in this Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Clinical Psychology: Clinical Psychology Course. Be energetic and self-motivated to complete our Clinical Psychology: Clinical Psychology Course. Basic computer Skill is required to complete our Clinical Psychology: Clinical Psychology Course. If you want to enrol in our Clinical Psychology: Clinical Psychology Course, you must be at least 15 years old. Career path Clinical Psychology: Clinical Psychology Online This Clinical Psychology course will prepare you for a variety of career paths, including the following: Psychology Assistant - £20,000 to £30,000 per annum Psychologist - £35,000 to £45,000 per annum Psychiatrist - £45,000 to £60,000 per annum Clinical Counselling Psychologist- £45,000 to £50,000 per annum

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

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