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Learn how to assist doctors, nurses and healthcare professionals in caring for sick and injured children with the Paediatric Nurse course. This introductory training program is ideal for those who wish to care for children in a hospital environment. In this Paediatric Nurse course, you will explore the basics of paediatric first aid, the day-to-day duties of a paediatric nurse, and how to record patients' conditions. You will learn how to feed, dress, bathe, and clean children, as well as administer their medication and monitor their progress. Throughout this course, you will develop essential paediatric nurse skills in communication, time management, and multitasking. Kickstart your career today and develop the practical knowledge and skills to become a skilled medical assistant for children. Why Choose This Course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Assignment Certificate of Achievement CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for?​ This Paediatric Nurse Course is ideal for those wanting to improve their basic skills in office administration, those who want to start working as a receptionist, office administrator, office manager, administrative assistant or secretary, and those who want to become a legal secretary.

A great way to advance your teaching abilities and enhance student outcomes is to take our Functional Skills Teacher (Maths) course. This course, which is intended primarily for teachers of maths and students, covers a variety of subjects including problem-solving, fractions, decimals, and percentages. You will learn more about the functional mathematics curriculum and the assessment standards that are employed to identify student progress throughout the course. Also, you will master efficient teaching methods that will enable you to inspire your pupils, irrespective of their educational background or level of proficiency. With the help of the course, you will be able to develop compelling lesson plans and activities that encourage student participation and active learning. With the knowledge you will gain in this course will help you to get the chance to work in this industry with other educators and exchange best practises, which will enable you to develop a strong peer network. This course will provide you with the information, abilities, and self-assurance you need to excel in the classroom, whether you are an experienced teacher wishing to improve your abilities or a novice teacher seeking to establish a firm foundation in maths teaching. Learning Outcomes: Here are some potential learning outcomes of taking a Functional Skills Teacher (Maths) course: Get a deeper comprehension of the Functional Skills Mathematics curriculum and evaluation standards. Discover efficient methods for teaching math for functional skills to a variety of students, including those with various needs and backgrounds. Become more adept at developing engaging, interactive lesson plans that encourage student participation and active learning. To assist students in succeeding, consider a range of teaching strategies and methodologies, such as problem-based learning and differentiated instruction. Develop self-assurance in your abilities to evaluate students' progress and offer insightful feedback to assist students in reaching their objectives. Develop a network of support and resources by working together with peers and instructors to exchange best practices. Keep abreast on the most recent developments in teaching and research in maths education. Become a practitioner who is more efficient and self-aware, dedicated to progress through time and student success. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment We suggest completing the assignment questions to confirm your improved proficiency in the topic. You can finish them at your convenience, and our expert tutors will evaluate them. We will provide you with comprehensive feedback on your performance, as well as any additional guidance or assistance you may require. Career path This course will help you develop a clear understanding of this area. After completing the course you will be able to explore career options such as Functional Skills Maths Teacher - £22,000 to £40,000. Further Education Lecturer - £23,000 to £35,000. Private Tutor - £30,000 to £45,000. Education Consultant - £35,000 to £60,000. Pursuing a career in Maths education in the UK can provide fulfilling and rewarding opportunities with the potential for professional growth and advancement.

Explore the dynamic world of Emergency Medicine and Paramedicine, where skilled professionals respond swiftly to critical situations. Discover the latest advancements, life-saving techniques, and the collaborative efforts that drive this essential field forward. Uncover the crucial intersection of medical expertise and rapid response in Emergency Medicine - Paramedicine.

Diet and nutrition are the two components of a healthy body. Enrich your knowledge of these key ingredients from the Diet And Nutrition Course. The lessons from this course will help you keep your body in the top form and also assist you in pursuing a career in the nutrition industry. From the Diet And Nutrition Course, you will receive a clear understanding of diet and nutrition. The engaging modules will provide you with valuable information on energy metabolism and food digestion. You will pick up the strategies for losing weight and building muscles. This course will introduce you to the optimal diet for athletes. You will develop the expertise to deal with your customers and provide them with proper diet plans. This Diet And Nutrition Course will elevate your knowledge of diet and nutrition. You will not only develop your understanding but also receive a valuable certificate. This certificate will help you build an impressive resume. Join now! Learning Objectives Get introduced to the theories of nutrition Enrich your knowledge of energy metabolism and food digestions Grasp the techniques of losing weight Learn the process of building muscles Deepen your understanding of the nutrition and diets suitable for athletes Develop the skills to deal with the customers Who is this Course for? This Diet And Nutrition Course is ideal for aspiring nutritionists or those who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of diet and nutrition or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy, and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successfully completing the Diet And Nutrition Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Nutritionist Dietitian Personal trainer Fitness instructor Sports coach Course Curriculum Diet And Nutrition Diploma Promo Video 00:03:00 Introduction Introduction & What You Will Learn 00:03:00 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 Many Carb Does Your Body Need 00:03:00 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 Adjusting Your Diet For Weight Loss 00:05:00 Helping Clients 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 Famous Diets 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 Diets 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 Vitamins & Minerals Why Mulitvitamins arent a good 00:02:00 What happens when you overdoese on vitamins 00:04:00 Vitamin A Supplements 00:03:00 Vitamin B Supplements 00:02:00 Vitamin C Supplements 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 Course Certification Order Your Certificates or Transcripts 00:00:00

The 'French' course is designed as an introduction to the French language, covering various lessons to help learners grasp basic French vocabulary and conversational skills. Learning Outcomes: Acquire fundamental knowledge of the French language and its pronunciation. Learn essential vocabulary and phrases to engage in basic conversations. Develop conversational skills through a series of lessons covering different topics in French. Practice reading, writing, and understanding simple French sentences. Gain confidence in using common expressions and greetings in everyday situations. Why buy this French? 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 French you will be able to take the MCQ test that will assess your knowledge. 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 French does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This French 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 French is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Introduction to the course French in just three minutes? 00:05:00 Lesson 1 Lesson 1a 00:03:00 Lesson 1b 00:03:00 Lesson 1c 00:03:00 Lesson 1d 00:03:00 Lesson 2 Lesson 2a 00:03:00 Lesson 2b 00:03:00 Lesson 2c 00:03:00 Lesson 2d 00:03:00 Lesson 2e 00:05:00 Lesson 3 Lesson 3a 00:03:00 Lesson 3b 00:03:00 Lesson 3c 00:04:00 Lesson 3d 00:03:00 Lesson 3e 00:03:00 Lesson 3f 00:03:00 Lesson 3g 00:03:00 Lesson 4 Lesson 4a 00:03:00 Lesson 4b 00:03:00 Lesson 4c 00:03:00 Lesson 4d 00:03:00 Lesson 4e 00:03:00 Lesson 4f 00:03:00 Lesson 4g 00:05:00 Lesson 5 Lesson 5a 00:03:00 Lesson 5b 00:03:00 Lesson 5c 00:03:00 Lesson 5d 00:03:00 Lesson 5e 00:04:00 Lesson 5f 00:03:00 Lesson 5g 00:03:00 Lesson 5h 00:03:00 Lesson 5i 00:05:00 Lesson 6 Lesson 6a 00:03:00 Lesson 6b 00:03:00 Lesson 6c 00:03:00 Lesson 6d 00:03:00 Lesson 6e 00:03:00 Lesson 6f 00:03:00 Lesson 6g 00:04:00 Lesson 7 Lesson 7a 00:03:00 Lesson 7b 00:03:00 Lesson 7c 00:03:00 Lesson 7d 00:03:00 Lesson 7e 00:03:00 Lesson 7f 00:03:00 Lesson 7g 00:03:00 Lesson 7h 00:03:00 Lesson 8 Lesson 8a 00:03:00 Lesson 8b 00:03:00 Lesson 8c 00:03:00 Lesson 8d 00:05:00 Lesson 8e 00:03:00 Lesson 8f 00:04:00 Lesson 8g 00:03:00 Lesson 8h 00:03:00 Lesson 8i 00:03:00 Lesson 8j 00:03:00 Lesson 8k 00:03:00 Lesson 9 Lesson 9a 00:03:00 Lesson 9b 00:03:00 Lesson 9c 00:03:00 Lesson 9d 00:03:00 Lesson 9e 00:03:00 Lesson 9f 00:06:00 Resources Resources: French 00:00:00 Recommended Books Recommended Books - French 00:00:00

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

Overview This comprehensive course on Math Tricks & Shortcuts will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Math Tricks & Shortcuts comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Math Tricks & Shortcuts. It is available to all students, of all academic backgrounds. Requirements Our Math Tricks & Shortcuts is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 15 sections • 90 lectures • 14:24:00 total length •Lecture 1 Introduction: 00:02:00 •Lecture 2 Lines and Angles (Basics): 00:07:00 •Lecture 3 Parallel lines (Basics): 00:06:00 •Lecture 4 Practice Problems 1 (Lines and Angles): 00:06:00 •Lecture 5 Triangles (Basics): 00:11:00 •Lecture 6 Practice Problems 2 (angle sum and exterior angle Property): 00:10:00 •Lecture 7 Pythagoras Theorem: 00:13:00 •Lecture 8 Inequalities in Triangles: 00:06:00 •Lecture 9 Sine and Cosine Rule: 00:12:00 •Lecture 10 Median, Altitude, Angle bisector: 00:06:00 •Lecture 11 Practice Problems 3: 00:11:00 •Lecture 12 Properties of Medians: 00:09:00 •Lecture 13 Practice Problems 4: 00:07:00 •Lecture 14 Properties of Equilateral Triangles: 00:04:00 •Lecture 15 Some special Quadrilaterals: 00:08:00 •Lecture 16 Polygons-interior angles, diagonals etc.: 00:08:00 •Lecture 17 Angle Bisector Theorem: 00:07:00 •Lecture 18 Congruent Triangles: 00:06:00 •Lecture 19 Similar Triangles: 00:14:00 •Lecture 20 Practice Problems 5: 00:10:00 •Lecture 21 Circle: 00:10:00 •Lecture 22 Cyclic Quadrilateral _ Tangent to circle: 00:07:00 •Lecture 23 Areas of Parallelogram & Triangle 1: 00:10:00 •Lecture 24 Areas of Parallelogram _ Triangle 2: 00:10:00 •Lecture 25 Practice Problems based on Areas 1: 00:05:00 •Lecture 26 Practice Problems based on Areas 2: 00:12:00 •Lecture 27 Mensuration Formulae: 00:07:00 •Lecture 28 Practice problems on 2-d figures: 00:11:00 •Lecture 29 Assignment (Video) on 2 - d figure: 00:02:00 •Lecture 30 Areas related to the circle: 00:06:00 •Lecture 31 Practice questions on areas related to circle: 00:10:00 •Practice Test (Geometry): 00:02:00 •Lecture 32 What is Unit Digit: 00:04:00 •Lecture 33 How to find unit digit of numbers with exponents: 00:10:00 •Lecture 34 Practice Problems based on Unit Digit: 00:08:00 •Lecture 35 Simplifications based on Percentages: 00:11:00 •Lecture 36 Simplification based on Exponents: 00:12:00 •Lecture 37 Fastest method of finding square roots: 00:12:00 •Lecture 38 Fastest method of finding cube roots: 00:03:00 •Lecture 39 Simplification based on square and cube roots: 00:16:00 •Lecture 40 Simplification Problems: 00:26:00 •Lecture 41 Simplification problems Type 1: 00:08:00 •Lecture 42 Simplification problems Type 2: 00:08:00 •Lecture 43 Simplification problems Type 3: 00:08:00 •Lecture 44 Simplification problems Type 4: 00:07:00 •Lecture 45 Finding smallest and greatest from difficult exponents: 00:08:00 •Lecture 46 What is Digital sum: 00:05:00 •Lecture 47 How to apply Digital sum technique in different operations: 00:14:00 •Lecture 48 Simplification problems using Digital sum -1: 00:07:00 •Lecture 49 Simplification problems using Digital sum -2: 00:06:00 •Lecture 50 Resources download 1: 00:48:00 •Lecture 51 Problems based on persons, days, work and hours: 00:12:00 •Lecture 52 Short cut formulas for most common problems: 00:11:00 •Lecture 53 Problems based on Two Persons: 00:06:00 •Lecture 54 Problems based on three Persons: 00:10:00 •Lecture 55 Based on Efficiency: 00:13:00 •Lecture 56 Complex problems on Efficiency: 00:10:00 •Lecture 57 Fraction of work: 00:07:00 •Lecture 58 Leaving and Joining - 1: 00:06:00 •Lecture 59 Leaving and Joining - 2: 00:08:00 •Lecture 60 Men, women and boys: 00:05:00 •Lecture 61 Work and wages: 00:11:00 •Lecture 62 Resources download 1: 00:20:00 •Lecture 63 Basics of pipes and cisterns: 00:06:00 •Lecture 64 Pipes and cisterns - Type 1: 00:07:00 •Lecture 65 Pipes and cisterns - Type 2: 00:04:00 •Lecture 66 Pipes and cisterns - Type 3: 00:07:00 •Lecture 67 Pipes and cisterns - Type 4: 00:06:00 •Lecture 68 Pipes and cisterns - Type5: 00:05:00 •Lecture 69 Speed, Distance and Time Resources download: 00:32:00 •Lecture 70 Basic Concepts and simple problems: 00:10:00 •Lecture 71 Problems based on average speed: 00:07:00 •Lecture 72 Problems of finding Distance: 00:13:00 •Lecture 73 Practice Problems 1: 00:10:00 •Lecture 74 Practice Problems 2: 00:08:00 •Lecture 75 Practice Problems 3: 00:07:00 •Lecture 76 Boats and Streams: 00:18:00 •Lecture 77 Basics of Boats and streams: 00:10:00 •Lecture 78 Finding speed of boat or stream: 00:13:00 •Lecture 79 Problems based on finding Distance: 00:06:00 •Lecture 80 Latest Problems on Boat and cisterns: 00:11:00 •Lecture 81 Percentage Basics 1: 00:10:00 •Lecture 82 Percentage Basics 2: 00:04:00 •Lecture 83 Fractional Values of Percentages: 00:09:00 •Lecture 84 Simplification using fractional values of Percentages-1: 00:06:00 •Lecture 85 Simplification problems of Percentage 2: 00:05:00 •Lecture 86 Article for Resources: 00:24:00 •Lecture 87 Problems based on Marks in examination: 00:15:00 •Lecture 88 Problems based on Price and Quantity 1: 00:08:00 •Lecture 89 Problems based on Price and Quantity 2: 00:08:00

Overview This comprehensive course on Learn Ethical Hacking From A-Z: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Learn Ethical Hacking From A-Z: Beginner To Expert comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Learn Ethical Hacking From A-Z: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Learn Ethical Hacking From A-Z: Beginner To Expert is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 17 sections • 105 lectures • 11:51:00 total length •Course Overview: 00:08:00 •About Your Instructors: 00:03:00 •Section Overview: 00:03:00 •Current Cybersecurity Market: 00:09:00 •The 3 Types of Hackers: 00:05:00 •The 4 Elements of Security: 00:04:00 •Ethical Hacker Terminology: 00:04:00 •Common Methods of Hacking: 00:08:00 •Cybersecurity & Ethical Hacking Overview: 00:03:00 •Ethical Hacking vs Penetration Testing: 00:06:00 •Job Opportunities in Cybersecurity: 00:01:00 •Who is This Course is For?: 00:01:00 •Networking Section Overview: 00:12:00 •How Data Travels Across The Internet: 00:02:00 •Understanding Ports and Protocols: 00:08:00 •Understanding IP Addresses: Public & Private: 00:02:00 •What Are Subnets?: 00:03:00 •The Average Network vs Remote Based: 00:06:00 •Hacking Lab Section Overview: 00:09:00 •Understanding Virtual Machines: 00:03:00 •Setup Your Kali Linux Machine: 00:10:00 •VN Setup & Testing Vulnerable Systems: 00:23:00 •Linux+Python+Bash+Powershell Section Overview: 00:06:00 •Linux Basics: 00:11:00 •Working With Directories & Moving Files: 00:03:00 •Installing & Updating Application Files: 00:02:00 •Linux Text Editors: 00:04:00 •Searching For Files: 00:02:00 •Bash Scripting Basics: 00:09:00 •Python Basics: 00:11:00 •Remaining Anonymous Section Overview: 00:06:00 •TOR Browser Overview: 00:06:00 •Anonsurf Overview: 00:03:00 •Changing Mac Addresses: 00:03:00 •Using a Virtual Private Network/Server (VPN, VPS): 00:04:00 •WiFi Hacking Section Overview: 00:06:00 •WiFi Hacking System Setup: 00:09:00 •WEP Hacking Attack #1: 00:09:00 •WEP Hacking Attack #2: 00:04:00 •WPA/WPA2 Hacking: 00:10:00 •Reconnaissance Section Overview: 00:04:00 •Passive Recon vs Active Recon: 00:01:00 •Recon-ng Overview: 00:15:00 •Whois Enumeration: 00:02:00 •DNS Enumeration Overview: 00:02:00 •Netcraft.com DNS Information: 00:03:00 •Google Hacking: 00:05:00 •Shodan.io Overview: 00:02:00 •Securityheaders.com (Analyze HTTPS Headers of website): 00:02:00 •Ssllabs.com/ssltest (Look for SSL issues on website): 00:02:00 •Pastebin.com (Sensitive Information): 00:01:00 •NMAP Port Scanning (Discover open ports, OS, Services, Vulnerabilities, etc.): 00:15:00 •Netcat Overview + SMB/NFSEnumeration: 00:14:00 •Nikto & Sparta Web Application Scanner: 00:06:00 •SMPT Enumeration + Nessus/Openvas Scanners: 00:05:00 •Launching Attacks Overview: 00:10:00 •Analyzing Information Gathered: 00:04:00 •Taking Advantage of Telenet: 00:06:00 •Searching & Understanding Exploits: 00:06:00 •Copy Exploits From Searchsploit: 00:03:00 •Understanding Exploits: 00:04:00 •Launching Exploits: 00:24:00 •Brute Force Attacks: 00:07:00 •How To Crack Passwords: 00:04:00 •ARP Spoofing Overview: 00:21:00 •Introduction To Cryptography: 00:14:00 •Post Exploitation Section Overview: 00:03:00 •Privilege Escalation: 00:29:00 •Transferring Files in/out of Victim, Creating Custom Malware + Evading Antivirus: 00:27:00 •Installing a Keylogger: 00:03:00 •Installing a Backdoor: 00:07:00 •Website & Web Application Hacking Overview: 00:06:00 •Web Application Scanning: 00:08:00 •Directory Buster Hacking Tool: 00:03:00 •Nikto Web App Hacking Tool: 00:03:00 •SQLmap and SQL Ninja Overview: 00:01:00 •How To Execute Brute Force Attacks: 00:13:00 •Using Command Injection: 00:03:00 •Malicious File Upload: 00:10:00 •Local & Remote File Inclusion: 00:10:00 •SQL Injection Overview: 00:19:00 •Using Cross Site Request Forgery: 00:11:00 •Cross Site Scripting Overview: 00:12:00 •Mobile Phone Hacking Section Overview: 00:11:00 •Mobile Attack Vectors: 00:02:00 •Mobile Hacking Using URLs: 00:02:00 •Jail Breaking and Rooting Considerations: 00:01:00 •Privacy Issues (Geo Location): 00:01:00 •Mobile Phone Data Security: 00:02:00 •Getting Your Name Out There Section Overview: 00:02:00 •Building A Brand: 00:09:00 •Personal Branding: 00:13:00 •Setup Your Website and Blog: 00:11:00 •Writing a Book: 00:10:00 •Starting a Podcast: 00:08:00 •Networking Overview: 00:06:00 •Making Money Section Overview: 00:02:00 •Bug Bounty Programs: 00:04:00 •How To Start Freelancing: 00:11:00 •How To Start Client Consulting: 00:09:00 •Potential Salary & Cybersecurity Roadmap: 00:10:00 •Books Recommendations: 00:03:00 •Places to Practice Hacking for Free: 00:03:00 •Resources - Learn Ethical Hacking From A-Z: Beginner To Expert: 00:00:00 •Assignment - Learn Ethical Hacking From A-Z: Beginner To Expert: 00:00:00

Overview This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Python Programming: Beginner To Expert is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 18 sections • 121 lectures • 15:27:00 total length •Intro To Python Section Overview: 00:05:00 •What is Python Programming: 00:10:00 •Who is This Course For: 00:05:00 •Python Programming Marketplace: 00:06:00 •Python Job Opportunities: 00:05:00 •How To Land a Python Job Without a Degree: 00:08:00 •Python Programmer Job Roles: 00:09:00 •Python from A-Z Course Structure: 00:04:00 •Getting Familiar with Python Section Overview: 00:06:00 •Installing Python on Windows: 00:10:00 •Anaconda and Jupyter Notebooks Part 1: 00:08:00 •Anaconda and Jupyter Notebooks Part 2: 00:16:00 •Comments: 00:05:00 •Python Syntax: 00:02:00 •Line Structure: 00:03:00 •Line Structure Exercise: 00:07:00 •Joining Lines: 00:05:00 •Multiple Statements on a Single Line: 00:05:00 •Indentation: 00:08:00 •Basic Data Types Section Overview: 00:08:00 •String Overview: 00:10:00 •String Manipulation: 00:07:00 •String Indexing: 00:04:00 •String Slicing: 00:08:00 •Printing: 00:10:00 •Python Variables: 00:08:00 •Integers and Floats: 00:08:00 •Booleans: 00:05:00 •Mini Project 1 : Letter Counter: 00:20:00 •Python Operators Section Overview: 00:04:00 •Comparison Operators: 00:09:00 •Arithmetic Operators: 00:08:00 •Assignment Operators: 00:04:00 •Logical Operators: 00:13:00 •Identity Operators: 00:05:00 •Membership Operators: 00:02:00 •Bitwise Operators: 00:08:00 •Python Advanced Data Types Section Overview: 00:11:00 •Sets: 00:06:00 •List Overview: 00:05:00 •List Slicing and Indexing: 00:04:00 •Tuples: 00:02:00 •When to use each one?: 00:05:00 •Compound Data Types: 00:03:00 •Dictionaries: 00:11:00 •Control Flow Part 1 Section Overview: 00:15:00 •Intro to Control Flow: 00:01:00 •Basic Conditional Statements: 00:14:00 •More Conditional Statements: 00:05:00 •For Loops: 00:10:00 •While Loops: 00:12:00 •Control Flow Part 2 Section Overview: 00:02:00 •Break Statements: 00:08:00 •Continue Statements: 00:05:00 •Zip Function: 00:07:00 •Enumerate Function: 00:04:00 •List Comprehension: 00:04:00 •Python Functions Section Overview: 00:03:00 •Intro to Functions: 00:02:00 •Python help Function: 00:03:00 •Defining Functions: 00:09:00 •Variable Scope: 00:08:00 •Doc Strings: 00:04:00 •User Input and Error Handling Section Overview: 00:02:00 •Introduction to error handling: 00:03:00 •User Input: 00:04:00 •Syntax Errors: 00:04:00 •Exceptions: 00:11:00 •Handling Exceptions Part 1: 00:08:00 •Handling Exceptions Part 2: 00:08:00 •Python Advanced Functions Section Overview: 00:05:00 •Lambda Functions: 00:05:00 •Functions args and kwargs: 00:10:00 •Iterators: 00:08:00 •Generators and Yield: 00:12:00 •Map Function: 00:14:00 •Filter Function: 00:08:00 •Python Scripting and Libraries Section Overview: 00:05:00 •What is a script: 00:01:00 •What is an IDE: 00:17:00 •What is a text editor?: 00:12:00 •From Jupyter Notebook to VScode Part 1: 00:15:00 •From Jupyter Notebook to VScode Part 2: 00:05:00 •Importing Scripts: 00:03:00 •Standard Libraries: 00:04:00 •Third Party Libraries: 00:06:00 •NumPy Section Overview: 00:04:00 •Intro to NumPy: 00:04:00 •Why use NumPy?: 00:04:00 •NumPy Arrays: 00:10:00 •Reshaping, Accessing, and Modifying: 00:07:00 •Slicing and Copying: 00:06:00 •Inserting, Appending, and Deleting: 00:10:00 •Array Logical Indexing: 00:04:00 •Broadcasting: 00:08:00 •Intro to Pandas: 00:17:00 •Pandas Series: 00:17:00 •Pandas Series Manipulation: 00:17:00 •Pandas DataFrame: 00:17:00 •Pandas DataFrame Manipulation: 00:13:00 •Dealing with Missing Values: 00:10:00 •Functional vs OOP: 00:06:00 •OOP Key Definitions: 00:04:00 •Create your First Class: 00:12:00 •How to Create and Use Objects: 00:06:00 •How to Modify Attributes: 00:12:00 •Python Decorators: 00:27:00 •Property Decorator: 00:09:00 •Class Method Decorator: 00:07:00 •Static Methods: 00:10:00 •Inheritance from A to Z: 00:21:00 •Python Career Section Overview: 00:06:00 •Getting Started with Freelancing: 00:09:00 •Building A Brand: 00:12:00 •Personal Branding: 00:13:00 •Importance of Having Website/Blog: 00:04:00 •Do's And Don'ts Of Networking: 00:06:00 •Top Freelance Websites: 00:08:00 •Creating A Python Developer Resume: 00:06:00 •Resources - Python Programming: Beginner To Expert: 00:00:00 •Assignment - Python Programming: Beginner To Expert: 00:00:00