This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.
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You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00
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Course Curriculum Introduction Introduction & What You Will Learn 00:03:00 How To Get Your Certificate 00:01:00 The Roles & Responsibilitites Of A Diet Coach 00:02:00 Nutrition Theory What Is Nutrition 00:01:00 Meal Planning Explained 00:04:00 Calories Explained 00:04:00 Macronutrients Explained 00:01:00 What Is Protein: Explained 00:02:00 How Much Protein Does Your Body Need 00:04:00 What Is Dietary Fat: Explained 00:03:00 How Much Fat Does Your Body Need 00:04:00 What Are Carbohydrates: Explained 00:03:00 The Different Types Of Carbs 00:05:00 How Much Protein Does Your Body Need 00:04:00 Meal Timing Explained 00:01:00 When & How Often Should You Consume Protein 00:04:00 When & How Often Should You Consume Carbs 00:02:00 When & How Often Should You Consume Fat 00:01:00 Food Sources Explained 00:02:00 Protein Composition 00:02:00 Carbohydrate Composition 00:03:00 Fat Composition 00:01:00 Energy Metabolism Energy Metabolism Explained 00:02:00 Aerobic vs Anaerobic Energy Metabolism 00:02:00 Food Digestion Digestion Introduction 00:03:00 Carbohydrate Digestion 00:02:00 Protein Digestion 00:02:00 Fat Digestion 00:02:00 Working With Clients Client Assessment 00:01:00 Client Interview 00:04:00 How To Set SMART Dieting Goals 00:06:00 How To Design Your First Diet Plan 00:09:00 Body Mass Index Explained 00:03:00 Helping Clients Lose Weight The Science Of Successful Weight Loss 00:05:00 Determining Calorie Needs 00:03:00 How To Take Diet Breaks Correctly 00:05:00 Breaking Through Fat Loss Plateaus 00:04:00 Explaining Unexpected Weight Changes 00:03:00 Is Starvation Mode Real? 00:03:00 Helping Client Build Muscle How To Create A Muscle Building Diet 00:04:00 The Perfect Pre-Workout Meal 00:04:00 The Perfect Post-Workout Meal 00:02:00 The Best Muscle Building Foods 00:02:00 Foods To Boost Testosterone 00:04:00 What Should You Eat Before Going To Bed To Build Muscle 00:03:00 Famous Diet Explained Famous Diets Introduction 00:01:00 Gluten Free Diet Explained 00:03:00 Paleo Diet Explained 00:04:00 Low Carb Diet Explained 00:03:00 Intermittent Fasting Explained 00:03:00 Vegan Diet Explained 00:05:00 Ketogenic Diet Explained 00:06:00 Optimal Diet For Athletes Athlete Diets Introduction 00:01:00 Strength Training 00:02:00 Endurance Training 00:02:00 Ball Sports & Martial Arts 00:02:00 Supplements Supplement Introduction 00:01:00 Whey Protein 00:06:00 BCAAs 00:04:00 Creatine 00:04:00 Fish Oil 00:03:00 Glutamine 00:05:00 caffeine 00:04:00 Vitamins & Minerals Vitamin A 00:03:00 Vitamin B 00:02:00 Vitamin C 00:03:00 Vitamin D 00:02:00 Vitamin E 00:01:00 Vitamin K 00:01:00 9 Calcium supplements copy 00:03:00 Magnesium 00:01:00 Phosphorus 00:01:00 Potassium 00:01:00 Sodium 00:01:00 Copper 00:01:00 Iron 00:01:00 Zinc 00:02:00
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CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org
Highlights of the Dog Grooming, Dog Behaviour and Dog First Aid Course Diploma Course Type: Self-paced online course Duration: 9 Hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Understand how dogs use their senses and communicate Know how to develop a dog's learning and behaviour Learn methods and techniques to manage problematic behaviour in dogs Master the techniques and use of tools to groom dogs Know what it takes to start your career as a professional dog groomer Learn how to administer first aid to a range of injuries that can affect dogs Know how to safely travel with dogs and keep them away from accidents Dog Grooming, Dog Behaviour and Dog First Aid Course Diploma With the help of this training, you will be able to effectively groom dogs, understand their behavioural patterns, and administer first aid in the event of an emergency. You will learn from expert instructors with experience in the field who will impart the most relevant expertise and best practices. Tools and techniques to groom dogs Factors that influence a dog's behaviour Manage problematic behaviours Understand nutrition basics Provide effective first aid in case of emergencies Comply with the health and safety legislation This Dog Grooming, Dog Behaviour and Dog First Aid course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Who is this course for? This course is ideal for first-aiders looking to acquire the essential knowledge and credentials to ensure a safe environment for dogs This course is open to dog groomers, dog trainers or anyone who works or takes care of dogs regularly This course is also ideal for pet owners who want to acquire the skills to groom their dogs, understand their behaviour and provide first-aid assistance in case of an emergency. Beginners and aspiring individuals who want to work as dog groomers or first-aider can also take this course Entry Requirements This Dog grooming, dog behaviour and dog first aid course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone and a reliable internet connection. Assessment This Dog grooming, dog behaviour and dog first aid course assess learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment, the pass mark is 60%. Advance Your Career This Dog grooming, dog behaviour and dog first aid course will provide you with significant opportunities to enter the relevant job market and select your desired career path. Additionally, by showcasing these skills on your resume, you will be able to develop your career, face more competitors in your chosen sector, and increase your level of competition. If you are looking for Dog First Aid Training, enrol into our affordable and highly informative course, which will open your door towards a wide range of opportunities within your chosen sector. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction to Dog Grooming Dog Behaviour and Dog First Aid Course Diploma Introduction to Dog Grooming Dog Behaviour and Dog First Aid Course Diploma 00:17:00 Communication and Senses Module 2: Communication and Senses 00:15:00 Dog's Perception with the World Module 3: Dog's Perception with the World 00:10:00 Human Dog Relations Module 4: Human Dog Relations 00:13:00 Dog's Behaviour and Its Development Module 5: Dog's Behaviour and Its Development 00:16:00 Factors Influencing Dog Module 6: Factors Influencing Dog 00:17:00 Dog Training Basics Module 7: Dog Training Basics 00:12:00 Enrichment of Dog's Physical-Mental Health Module 8: Enrichment of Dog's Physical-Mental Health 00:17:00 Dog's Learning & Behaviour Modification Module 9: Dog's Learning Behaviour Modification 00:14:00 Prevention of Problem Behaviour and Disorders Module 10: Prevention of Problem Behaviour and Disorders 00:16:00 Behaviour Management & Modification Technique Module 11: Behaviour Management Modification Technique 00:13:00 Knowing Your Dog Module 2 - Knowing Your Dog 00:15:00 What Influences A Dogs Appearance Module 3 - What Influences A Dogs Appearance 00:15:00 Providing The Nutritions Module 4 - Providing The Nutritions 00:20:00 Equipment For Grooming Module 5 - Equipment For Grooming 00:15:00 Brushing Your Dog Module 6 - Brushing Your Dog 00:20:00 Training Your Dog For Grooming Module 7 - Training Your Dog For Grooming 00:15:00 Getting Ready For Grooming Module 8 - Getting Ready For Grooming (1) 00:15:00 Bathing Time Module 9 - Bathing Time (1) 00:15:00 Trimming Module 10 - Trimming (1) 00:20:00 The Common Problems And Solutions Module 11 - The Common Problems And Solutions (1) 00:15:00 First Aid Care Module 12 - First Aid Care 00:15:00 Things To Consider Module 13 - Things To Consider 00:15:00 Getting Your Dog To Pose For Pictures Module 14 - Getting Your Dog To Pose For Pictures 00:20:00 Homemade Grooming Solutions Module 15 - Homemade Grooming Solutions 00:15:00 Grooming Your Dog For A Show Module 16 - Grooming Your Dog For A Show 00:15:00 Becoming A Professional Dog Groomer Module 17 - Becoming A Professional Dog Groomer 00:20:00 How To Make Grooming Interesting Module 18 - How To Make Grooming Interesting 00:15:00 Popular Myths About Dogs Module 19 - Popular Myths About Dogs 00:20:00 Primary Assessment Module 2: Primary Assessment Dog First Aid 00:20:00 Personal Safety Module 3: Personal Safety Dog First Aid 00:15:00 First Aid Procedures Module 4: First Aid Procedures Mod 00:25:00 Hazards for Dogs Module 5: Hazards For Dogs Dog First Aid 00:15:00 Keeping Safe in an Emergency Module 6: Keeping Safe In an Emergency 00:20:00 Travelling with Dogs Module 7: Travelling With Dogs 00:20:00 Caring for Older/Young Dogs Caring for Older/Young Dogs 00:16:00 Health Check & First Aid Kits Health Check & First Aid Kits 00:08:00 Conclusion to Dog Grooming Dog Behaviour and Dog First Aid Course Diploma Conclusion to Dog Grooming Dog Behaviour and Dog First Aid Course Diploma 00:07:00 Final Assessment Assessment - Dog Grooming, Dog Behaviour and Dog First Aid Course Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Embark on a mathematical journey with our Functional Skills Maths course, designed to transform numbers and equations from daunting puzzles into fascinating challenges. Imagine standing at the crossroads of comprehension and mastery, where every integer and decimal is a stepping stone towards success. Our curriculum elegantly weaves through topics like the enigmatic world of integers, the rhythmic dance of factors and multiples, and the delicate balance of fractions. Explore the wonders of BODMAS, a simplification rule that brings order to chaos. Delve into the depths of decimal numbers and rational numbers, where precision meets practicality. Experience the thrill of approximation, and the precision of estimation and scientific notation, as you navigate through the practical realms of percentages, ratios, proportions, and the unitary method. Finally, grapple with real-world scenarios involving profit, loss, discount, and tax - the very essence of everyday maths. As you progress, each module unfolds like a chapter of a grand narrative, revealing the beauty and logic of mathematics. Whether you're deciphering the secrets of percentages or unraveling the complexities of ratio and proportion, this course promises a transformative experience. By turning abstract concepts into tangible skills, you'll not only gain knowledge but also the confidence to apply it in various contexts. Get ready to embark on a journey that not only educates but also empowers, as we guide you through the magical world of functional maths. Learning Outcomes Develop a robust understanding of key mathematical concepts including integers, fractions, and decimals. Master the BODMAS rule for effective problem-solving in mathematical equations. Gain proficiency in applying mathematical principles to real-life scenarios involving profit, loss, and taxation. Acquire skills in approximation, estimation, and understanding scientific notation for practical applications. Enhance ability to calculate and manipulate percentages, ratios, and proportions for diverse mathematical challenges. Why choose this Functional Skills Maths course? Individuals seeking to solidify their foundational maths skills. Students preparing for advanced studies in mathematics or related fields. Professionals requiring enhanced numerical skills for workplace applications. Anyone interested in improving their problem-solving and analytical abilities. Learners aspiring to apply mathematical concepts in everyday life. Who is this Functional Skills Maths course for? Individuals keen on mastering freestyle swimming. Beginners aiming to understand swimming basics and techniques. Athletes looking to enhance their swimming performance. Fitness enthusiasts seeking a comprehensive water workout. Adventurers aiming for open water swims or triathlon participation. Career path Financial Analyst: £30,000 - £50,000 Data Scientist: £35,000 - £70,000 Accountant: £25,000 - £50,000 Actuary: £32,000 - £60,000 Market Research Analyst: £24,000 - £45,000 Operational Researcher: £27,000 - £40,000 Prerequisites This Functional Skills Maths does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Functional Skills Maths 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 Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Mock Exam Mock Exam - Functional Skills Maths 00:20:00 Final Exam Final Exam - Functional Skills Maths 00:20:00
Welcome to 'Python Programming for Non Programmers Level 5,' a course specially designed for those new to the world of coding. This program starts with a comprehensive introduction to Python, a versatile programming language favored in numerous fields. Progressing to the second unit, participants will familiarize themselves with the initial steps of Python programming, setting a strong foundation for future learning. The course then advances to conditional branching in Python, an essential skill for logical problem-solving in coding. A highlight of this course is the practical project: building the game 'Rock Paper Scissors'. This engaging task not only consolidates learning but also adds a fun element to the process. The curriculum further includes critical topics like string operations, date and time functionalities, and the nuances of file handling in Python. Learners will navigate through the complexities of Python data structures-tuples, lists, and dictionaries-and learn to craft user functions, enhancing their coding capabilities. The course also covers email automation, ingenious import tactics, interfacing with operating systems, and handling exceptions with finesse. Furthermore, learners will get hands-on experience with package installation, scheduling tasks in Python, and managing databases using SQLite. The course wraps up with insights on running Python programs via command prompt and Jupyter Notebook, ensuring learners are well-equipped for real-world applications. Learning Outcomes Acquire foundational knowledge and setup skills in Python programming. Master conditional branching for effective problem-solving in code. Complete a practical coding project to solidify Python skills. Learn essential Python operations, including string handling and file management. Explore and apply advanced Python concepts for real-world applications. Why choose this Python Programming for Non Programmers Level 5 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 Python Programming for Non Programmers Level 5 course for? Beginners eager to learn Python from scratch. Non-technical professionals desiring to add coding skills to their portfolio. Educators keen to integrate Python into their teaching methodologies. Businesspersons interested in understanding coding fundamentals for tech-based solutions. Enthusiasts exploring programming as a new hobby or career path. Career path Entry-Level Python Programmer: £25,000 - £40,000 Python-Enabled Data Analyst: £28,000 - £45,000 Python Automation Engineer: £30,000 - £50,000 Technical Support Analyst with Python Skills: £22,000 - £35,000 Python Web Developer: £26,000 - £42,000 Quality Assurance Analyst with Python Expertise: £24,000 - £38,000 Prerequisites This Python Programming for Non Programmers Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming for Non Programmers Level 5 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 01: Introduction to Python Programming Section 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Section 01: Software Installation 00:02:00 Section 02: Hello World Program 00:06:00 Section 03: Input and Output 00:07:00 Section 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Section 01: If Loop In Python 00:06:00 Section 02: Program Using If Else part 1 00:03:00 Section 03: Program Using If Else part 2 00:08:00 Section 04: Program for Calculator 00:02:00 Section 05: Program Using For Loop 00:08:00 Section 06: For Table 00:05:00 Section 07: For loop and Mathematical Operator in Python 00:04:00 Section 08: Factorial of Number Using Python 00:06:00 Section 09: Program Using While 00:05:00 Section 10: While Loop Example 00:07:00 Section 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Section 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Section 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Section 01: Program Using String part 1 00:05:00 Section 02: Program using String 2 00:06:00 Section 03: Program Using String 3 00:06:00 Section 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Section 01: Use of Date and Time part 1 00:05:00 Section 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Section 01: File Handling Part 1 00:08:00 Section 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Section 01: Tuple in Python Part 1 00:10:00 Section 02: Tuple in Python Part 2 00:07:00 Section 03: Using Lists part 1 00:07:00 Section 04: Using List part 2 00:12:00 Section 05: Using Lists part 3 00:06:00 Section 06: Using Lists part 4 00:08:00 Section 07: Using Lists part 5 00:02:00 Section 08: Use of Dictionary Part 1 00:04:00 Section 09: Use of Dictionary Part 2 00:05:00 Section 10: Use of Dictionary Part 3 00:08:00 Section 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Section 01: Function in Python Part 1 00:06:00 Section 02: Function in Python Part 2 00:05:00 Section 03: Function in Python Part 3 00:04:00 Section 04: Function in Python Part 4 00:07:00 Section 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Section 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Section 01: Import Study part 1 00:07:00 Section 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Section 01: Importing OS 00:06:00 Section 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Section 01: Exception in Python part 1 00:11:00 Section 02: Exception in Python part 2 00:07:00 Section 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Section 01: Installing Packages using built in package manager 00:08:00 Section 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Section 01: Data Base 1 00:08:00 Section 02: Data Base 2 00:09:00 Section 03: Data Base 3 00:08:00 Section 04: Data base 4 00:07:00 Section 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Section 01: IDE_1 00:05:00 Section 02: IDE_2 00:07:00 Unit 18: Conclusion Section 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00