27893 Development courses delivered Online

Overview This comprehensive course on Sexual Harassment Awareness Training will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Sexual Harassment Awareness Training  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 Sexual Harassment Awareness Training. It is available to all students, of all academic backgrounds. Requirements Our Sexual Harassment Awareness Training 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 8 sections • 8 lectures • 01:16:00 total length •What is Sexual Harassment?: 00:10:00 •Sexual Harassment in the workplace: 00:12:00 •The law and sexual Harassment: 00:08:00 •Addressing Sexual Harassment: 00:10:00 •Prevent Sexual Harassment at work: 00:10:00 •Policies and procedures: 00:08:00 •How to Deal with Sexual Harassment in the Workplace: 00:08:00 •Mediation and the Aftermath: 00:10:00

Overview This comprehensive course on Testing using SOAP UI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Testing using SOAP UI 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Testing using SOAP UI. It is available to all students, of all academic backgrounds. Requirements Our Testing using SOAP UI is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 9 lectures • 04:07:00 total length •Module 01: Introduction to SOAP UI: 00:15:00 •Module 02: Installation instructions for SOAP UI: 00:22:00 •Module 03: Various Components in SOAP UI: 00:30:00 •Module 04: WSDL Testing in SOAP UI: 00:44:00 •Module 05: Load Testing in SOAP UI: 00:34:00 •Module 06: Security Testing in SOAP UI: 00:34:00 •Module 07: REST Testing in SOAP U: 00:42:00 •Module 08: Functional Testing in SOAP UI: 00:26:00 •Assignment - Testing using SOAP UI: 00:00:00

Overview Make a massive difference to someone's quality of life and boost your potential in an exciting new career path. This innovative course is designed to train anyone to become an effective and qualified Life Coach, helping people to achieve their personal goals. The Coaching & Mentoringcourse will teach you much more than just people management. You will learn to develop excellent communication skills, understand neuro-linguistic programming, read body language, provide motivation and emotional support, and recognise success. Alongside this, you will be taught how to seize business opportunities with this skill, and thrive in a growing industry. 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 in this Coaching & Mentoring. It is available to all students, of all academic backgrounds. Requirements Our Coaching & Mentoring is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 8 lectures • 04:33:00 total length •Module 1: Introduction to Coaching and Mentoring: 00:28:00 •Module 2: Coaching and Mentoring: Objectives & Processes: 00:33:00 •Module 3: Ethical Aspects of Coaching and Mentoring: 00:35:00 •Module 4: Coaching and Mentoring Models: 01:01:00 •Module 5: Effective Communication Skills: 00:28:00 •Module 6: Personal Skills: 00:27:00 •Module 7: Management Skills: 00:26:00 •Module 8: Functional Skills: 00:35:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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? 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

Overview This comprehensive course on Graphic Design Using Canva will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Graphic Design Using Canva 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 Graphic Design Using Canva. It is available to all students, of all academic backgrounds. Requirements Our Graphic Design Using Canva 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 6 sections • 17 lectures • 03:24:00 total length •Introduction to Adobe Colour: 00:03:00 •Adobe Colour Lesson 2: 00:03:00 •Adobe Colour Lesson 3: 00:05:00 •How to Use Canva: 00:45:00 •How to design a logo on Canva: 00:11:00 •Canva text-to-Image AI for NFT: 00:10:00 •Poster designs on Canva: 00:13:00 •How to Use Canva templates: 00:14:00 •Snapseed: 00:14:00 •Double Exposure: 00:16:00 •Exposure Adjustments: 00:06:00 •Colour Splash Part-1: 00:15:00 •Colour Splash Part-2: 00:17:00 •Create Flyer Designs on Canva: 00:28:00 •How to Work with Layers in Canva App: 00:02:00 •Creating a 3D Mockup Design with your Phone: 00:02:00 •Assignment - Graphic Design Using Canva: 00:00:00

Overview This comprehensive course on Data Science with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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 with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 6 lectures • 01:15:00 total length •Module 01: Introduction to Python Data Science: 00:03:00 •Module 02: Environment Setup: 00:10:00 •Module 01: Numpy package for calculations: 00:16:00 •Module 02: Panda package for Data cleaning: 00:19:00 •Module 01: Matplotlib Data Visualization Part 1: 00:16:00 •Module 02: Matplotlib Data Visualization Part 2: 00:11:00

Overview This comprehensive course on Decision Making and Critical Thinking will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Decision Making and Critical Thinking comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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 Decision Making and Critical Thinking. It is available to all students, of all academic backgrounds. Requirements Our Decision Making and Critical Thinking is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 10 lectures • 03:22:00 total length •Introduction to Critical Thinking: 00:21:00 •Critical Thinking and the Judgment of Claims: 00:18:00 •Benefits and Barriers of Critical Thinking: 00:32:00 •Importance of Critical Thinking: 00:16:00 •Recognising a Critical Thinker: 00:22:00 •What Are the Critical Thinking Steps?: 00:17:00 •Critical Thinking Strategies: 00:25:00 •Problem-Solving Through Critical Thinking: 00:25:00 •Decision Making with Critical Thinking: 00:26:00 •Assignment - Decision Making and Critical Thinking: 00:00:00

Overview This comprehensive course on English Literature will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This English Literature 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 English Literature. It is available to all students, of all academic backgrounds. Requirements Our English Literature course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 14 sections • 83 lectures • 11:07:00 total length •The History of Drama: 00:10:00 •Elizabethan Drama: 00:12:00 •William Shakespeare: 00:06:00 •Hamlet: A Synopsis of the Play: 00:04:00 •Hamlet: An Anlaysis of the Play: 00:19:00 •Hamlet's Soliloquies: 00:05:00 •Jacobean Literature Poetry and Prose: 00:12:00 •Puritanism & The English Civil War: 00:11:00 •Metaphysical Poetry: 00:08:00 •Metaphysical Poetry: 00:08:00 •George Herbert: 00:05:00 •Andrew Marvell: 00:07:00 •John Milton: 00:08:00 •The Restoration & Glorious Revolution: 00:06:00 •The Novel: 00:08:00 •Early Novelists: Defoe, Richardson, and Fielding: 00:11:00 •English Satire: John Dryden & Alexander Pope: 00:06:00 •Jonathan Swift & Gulliver's Travels: 00:10:00 •Swift's A Modest Proposal: 00:08:00 •Colonialism & John Smith: 00:07:00 •Pilgrim Writers: 00:10:00 •The Revolutionary Period Writers: 00:07:00 •The Knickerbocker Era: Washington Irving: 00:14:00 •Frontier Fiction: James Fenimore Cooper: 00:10:00 •The Westward Expansion: 00:04:00 •Transcendentalism: Ralph Waldo Emerson: 00:10:00 •Transcendentalism: Henry David Thoreau: 00:08:00 •Anti-Transcendentalism: Nathaniel Hawthorne: 00:05:00 •Nathaniel Hawthorne and The Scarlet Letter: 00:08:00 •Herman Melville: 00:05:00 •Edgar Allan Poe: 00:06:00 •Poe's 'The Cask of Amontillado': 00:05:00 •Poe's 'The Raven': 00:07:00 •The American Civil War Era & Harriet Beecher Stowe: 00:07:00 •Walt Whitman: 00:09:00 •Whitman's 'Drum Taps': 00:06:00 •Emily Dickinson: 00:09:00 •The Gilded Age: 00:07:00 •Local Color Writing: Mark Twain: 00:08:00 •Tom Sawyer & Huck Finn: 00:11:00 •A Connecticut Yankee in King Arthur's Court: 00:07:00 •Female Writers & The French Revolution: 00:12:00 •Mary Wollstonecraft: 00:09:00 •Helen Maria Williams: 00:08:00 •Unitarianism: 00:04:00 •Harriet Martineau: 00:12:00 •Anna Laetitia Barbauld: 00:06:00 •Lucy Aikin: 00:05:00 •The Napoleonic Wars: 00:08:00 •The Romantic Period: 00:05:00 •William Blake: 00:08:00 •William Wordsworth: 00:08:00 •Samuel Taylor Coleridge: 00:08:00 •Percy Bysshe Shelley: 00:08:00 •John Keats: 00:09:00 •Lord George Gordon Byron: 00:07:00 •Gothic Novels: 00:10:00 •Jane Austin's Pride and Prejudice: 00:14:00 •Victorian Novels: 00:09:00 •Emily Brontë and Wuthering Heights: 00:11:00 •Charles Dickens and Great Expectations: 00:15:00 •Anti-Victorianism & Edwardian England: 00:05:00 •Imagism & Gertruid Stein: 00:05:00 •Post War Literature & Ezra Pound: 00:10:00 •T.S. Eliot: 00:13:00 •William Carlos Williams: 00:05:00 •Archibald MacLeish: 00:05:00 •Modernist Fiction: 00:07:00 •Henry James: 00:07:00 •James Joyce: 00:07:00 •Joyce's 'Araby': 00:19:00 •Joyce's Ulysses: 00:07:00 •Virginia Woolf: 00:06:00 •Virgina Woolf's To the Lighthouse: 00:12:00 •Ernest Hemingway and the Lost Generation: 00:05:00 •Hemingway's The Sun Also Rises: 00:10:00 •F. Scott Fitzgerald: 00:04:00 •Fitzgerald's The Great Gatsby: 00:08:00 •ee cummings: 00:06:00 •Robert Lowell: 00:05:00 •The Beat Generation & Allen Ginsberg: 00:11:00 •Resources - English Literature: 00:00:00 •Assignment - English Literature: 00:00:00

Overview Help others overcome their fear of mathematics and teach students how to reach their career potentials with numerology. This unique course will train you to become an accomplished mathematical teacher and advance the knowledge of pupils in this area. The Functional Skills Maths course is packed with information regarding Functional Maths and uses varied educational methods to embed the knowledge. You will find that you will quickly attain the ability to teach Maths in a lively and personal way, giving you a genuine advantage in the UK education system. From integers to fractions, and percentages, enrol now and learn to make maths easy. 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 Functional Skills Maths. It is available to all students, of all academic backgrounds. Requirements Our Functional Skills Maths is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 13 sections • 67 lectures • 06:56:00 total length •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •Assignment - Functional Skills Maths - Level 2: 00:00:00

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00