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Overview This comprehensive course on Mathematics Fundamentals will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Mathematics Fundamentals 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 Mathematics Fundamentals. It is available to all students, of all academic backgrounds. Requirements Our Mathematics Fundamentals 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 12 sections • 67 lectures • 07:38:00 total length •Introduction: 00:02:00 •Number system: 00:09:00 •Integers and ordering of integers: 00:07:00 •Addition and Subtractions of Integers: 00:09:00 •Operations on Integers: 00:06:00 •Multiplication and Division of Integers: 00:07:00 •Powers of Integers (Exponents): 00:04:00 •Complete knowledge about factors and multiples: 00:07:00 •Divisibility tests for 2,3,4,5,6: 00:07:00 •Divisibility rules 7,8,9,10,11: 00:11:00 •Prime Factorization: 00:13:00 •Highest common factor HCF: 00:13:00 •Word problems based on HCF A: 00:12:00 •Least common multiple LCM: 00:16:00 •Relation between lcm and HCF A: 00:04:00 •Classification of Fractions: 00:04:00 •Convert mixed to improper and improper to mixed fractions: 00:03:00 •Equivalent Fractions: 00:04:00 •Comparing Fractions after converting to like fractions: 00:09:00 •Reducing a fraction to lowest term: 00:04:00 •Addition and subtraction OF fractions: 00:08:00 •Multiplication and division of fractions: 00:11:00 •Word problems on fractions: 00:16:00 •Bodmas and rules to remove brackets: 00:03:00 •Simplify expressions using BODMAS rules: 00:05:00 •Simplify expressions involving fractions using BODMAS: 00:07:00 •Decimal numbers in relation to fractions: 00:08:00 •Like and unlike Decimals: 00:05:00 •Ordering of Decimal numbers: 00:10:00 •Addition and subtraction of Decimal: 00:07:00 •Multiplication of Decimal: 00:03:00 •Division of Decimal: 00:08:00 •Rational number: 00:02:00 •Representation of Rational Numbers on Number line: 00:05:00 •Determining which fraction is terminating or non-terminating: 00:07:00 •Shortcut method of writing decimal expansion of fraction to decimal A: 00:08:00 •Rounding to whole number: 00:06:00 •Rounding to required number of decimals (1 d.p.): 00:05:00 •Rounding to significant digits: 00:07:00 •Practice question on three methods of approximation: 00:05:00 •Estimation: 00:05:00 •Scientific Notation: 00:07:00 •Operation on numbers when they are in scientific notation: 00:06:00 •Percentage to fraction and fraction to percentage: 00:06:00 •Percentage of a quantity and conversation to decimal: 00:06:00 •Expressing one quantity as percentage of another quantity: 00:06:00 •Finding increase decrease percent: 00:05:00 •Uses of Percentages-Word Problems A: 00:09:00 •Ratio- How to express as simple ratio: 00:09:00 •How to compare Ratios: 00:04:00 •Word problems on finding ratios: 00:07:00 •To divide a given quantity into a given Ratio: 00:11:00 •Proportion: 00:04:00 •Practice problems on Proportion: 00:06:00 •Continued proportion: 00:06:00 •Direct Variation (or proportion): 00:04:00 •Problems based on Direct proportion: 00:10:00 •Inverse Variation (or proportion): 00:10:00 •Multiple Ratios: 00:10:00 •Basics - Profit and Loss: 00:04:00 •More practice problems on Profit _ Loss: 00:06:00 •Selling price formula and Problems: 00:04:00 •Cost price formula and Problems: 00:03:00 •Higher problems on Profit and Loss: 00:08:00 •Basics - Discount: 00:05:00 •Practice problems on Discount: 00:04:00 •Tax: 00:06:00

Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The R Programming for Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 Certification 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. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00

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 Pure Mathematics Fundamentals will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Pure Mathematics Fundamentals 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 Pure Mathematics Fundamentals. It is available to all students, of all academic backgrounds. Requirements Our Pure Mathematics Fundamentals 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 14 sections • 193 lectures • 03:43:00 total length •About Course: 00:02:00 •Quick Guide: 00:01:00 •Topics of Essential Revision - 1: 00:00:00 •Negative numbers and operations on Integers: 00:14:00 •The rules of Indices in Algebra: 00:11:00 •Working with indices Part 1: 00:10:00 •Working with indices Part 2: 00:08:00 •Fractional Indices: 00:12:00 •What are Polynomials?: 00:07:00 •Writing statements in Algebraic Form: 00:06:00 •Simplification using BODMAS: 00:08:00 •Distributive Property: 00:07:00 •Addition of Algebraic expressions: 00:13:00 •Subtraction of Algebraic expressions: 00:12:00 •Multiplication of Algebraic Expressions Part 1: 00:05:00 •Multiplication of Algebraic Expressions Part 2: 00:05:00 •Multiplication of Algebraic Expressions Part 3: 00:06:00 •Division of algebraic expressions Part 1: 00:11:00 •Division of algebraic expressions Part 2: 00:10:00 •Division of algebraic expressions Part 3: 00:07:00 •Topics of Essential Revision - 2: 00:00:00 •Factorization by method of common factor: 00:13:00 •Factorization by regrouping the terms: 00:10:00 •Factorization by difference of two squares: 00:11:00 •Factorization using identity (a + b) ² and (a - b) ²: 00:10:00 •Factorization using identity (a + b + c) ²: 00:05:00 •Factorization by middle term split Part 1: 00:12:00 •Factorization by middle term split Part 2: 00:09:00 •Simultaneous Linear Equations: 00:07:00 •Graphical Method: 00:06:00 •Graphical method Continued: 00:11:00 •Elimination by substitution Method: 00:09:00 •Equating the coefficients Method: 00:11:00 •Cross Multiplication: 00:10:00 •Equations Reducible to Linear Equations-1: 00:08:00 •Equations Reducible to Linear Equations-2: 00:14:00 •Introduction to Quadratic Equations: 00:05:00 •Solving Quadratic Equations by Factorization method: 00:09:00 •Writing in completed square form: 00:07:00 •Solving by completed square method: 00:08:00 •Sketching of Quadratic Graphs: 00:12:00 •Quadratic graphs using Transformations: 00:06:00 •Quadratic inequalities: 00:11:00 •Deriving Quadratic formula: 00:05:00 •Solving problems using Quadratic Formula: 00:06:00 •Nature of Roots Part - 1: 00:05:00 •Nature of roots Part - 2: 00:12:00 •Downloadable Resources: 00:00:00 •Distance formula: 00:18:00 •Mid point formula: 00:05:00 •Gradient of a line: 00:11:00 •Graphing using gradient and y intercept: 00:03:00 •Some standard lines: 00:05:00 •Slope intercept form y = m x +c: 00:06:00 •Point slope form and two point form: 00:11:00 •Intersection of line and parabola: 00:10:00 •Past Papers Problems Part 1: 00:09:00 •Past Papers Problems Part 2: 00:11:00 •Past Papers Problems Part 3: 00:09:00 •Past Papers Problems Part 4: 00:12:00 •Past Papers Problems Part 5: 00:12:00 •Downloadable Resources: 00:00:00 •Sequence and series ( video): 00:08:00 •Arithmetic Sequence: 00:10:00 •General term of an A.P.: 00:07:00 •Finding given term is which term: 00:05:00 •Writing sequence when two terms are known: 00:08:00 •Condition for three terms to be in A.P.: 00:05:00 •Sum to n terms of A.P.: 00:06:00 •Practice Problems 1 (A.P.): 00:09:00 •Practice problems 2 (A.P.): 00:07:00 •Practice problems 3 (A.P.): 00:07:00 •Practice problems 4 (A.P.): 00:11:00 •Geometric Progressions: 00:12:00 •Sum to n terms in G.P.: 00:14:00 •Sum to infinite Terms in G.P.: 00:13:00 •Practice Problems 1 (GP): 00:15:00 •Practice Problems 2 (GP): 00:12:00 •Practice Problems 3 (GP): 00:07:00 •Practice Problems based on AP and GP both: 00:15:00 •Past papers problems 1: 00:17:00 •Past papers problems 2: 00:10:00 •Past papers problems 3: 00:11:00 •Downloadable Resources: 00:00:00 •Geometric Progressions - Resources: 00:00:00 •What is Factorial?: 00:07:00 •n-choose -r problems: 00:07:00 •Properties of n - choose -r: 00:05:00 •Binomial Theorem for positive index: 00:20:00 •Expanding using Binomial Theorem: 00:11:00 •Finding the indicated term in the Binomial expansion: 00:11:00 •Finding the indicated term from end: 00:09:00 •Finding the coefficient for given exponent (index) of the variable: 00:09:00 •Finding the term independent of variable: 00:05:00 •Expanding in increasing and decreasing powers of x: 00:09:00 •Practice problems 1: 00:12:00 •Practice Problems 2: 00:09:00 •Practice problems 3: 00:10:00 •Past papers problems 1: 00:15:00 •Past Paper problems 2: 00:13:00 •Past Paper problems 3: 00:09:00 •Downloadable Resources: 00:00:00 •What is Function?: 00:08:00 •Vertical Line Test: 00:04:00 •Value of a Function Graphically: 00:08:00 •Domain Range of a function Algebraically: 00:14:00 •Domain Range of a function Graphically: 00:07:00 •Even & Odd Functions: 00:07:00 •One to one Function: 00:05:00 •Composite Functions: 00:09:00 •How to draw Rational Functions- 1: 00:05:00 •How to draw Rational Functions- 2: 00:10:00 •Inverse of a function Algebraically: 00:05:00 •Inverse of a function Graphically: 00:09:00 •Practice Problems 1: 00:16:00 •Practice Problems 2: 00:11:00 •Downloadable Resources: 00:00:00 •What is Derivative?: 00:08:00 •Derivation of formula for Derivative: 00:06:00 •Differentiation by definition or First Principle: 00:07:00 •Power Rule: 00:22:00 •Practice Problems on Power Rule 1: 00:07:00 •Practice Problems on Power Rule 2: 00:07:00 •Practice Problems on Power Rule 3: 00:05:00 •Practice Problems on Power Rule 4: 00:13:00 •Practice Problems on Power Rule 5: 00:08:00 •Downloadable Resources: 00:00:00 •Tangents and Normals- Basics: 00:13:00 •Practice- Tangents and Normals Part 1: 00:16:00 •Practice- Tangents and Normals Part 2: 00:13:00 •Practice- Tangents and Normals Part 3: 00:11:00 •Practice- Tangents and Normals Part 4: 00:14:00 •Downloadable Resources: 00:00:00 •Stationary Points - Basics: 00:13:00 •Practice- Increasing Decreasing & Maxima Minima part 1: 00:11:00 •Practice- Increasing Decreasing & Maxima Minima part 2: 00:12:00 •Practice- Increasing Decreasing & Maxima Minima part 3: 00:10:00 •Downloadable Resources: 00:00:00 •Concavity-Basics: 00:02:00 •Concavity & Second Derivative: 00:08:00 •Second Derivative Test: 00:09:00 •Practice Problems on second derivative: 00:04:00 •Practice Problem of Maxima Minima using second derivative test Part 1: 00:17:00 •Practice Problem of Maxima Minima using second derivative test Part 2: 00:10:00 •Practice Problem of Maxima Minima using second derivative test Part 3: 00:07:00 •Practice Problem of Maxima Minima using second derivative test Part 4: 00:07:00 •Applications of Maxima and Minima Part 1: 00:09:00 •Applications of Maxima and Minima Part 2: 00:07:00 •Applications of Maxima and Minima Part 3: 00:10:00 •Applications of Maxima and Minima Part 4: 00:09:00 •Applications of Maxima and Minima Part 5: 00:10:00 •Applications of Maxima and Minima Part 6: 00:08:00 •Past Paper Problems on applications of maxima and minima Part 1: 00:09:00 •Past Paper Problems on applications of maxima and minima Part 2: 00:09:00 •Past Paper Problems on applications of maxima and minima Part 3: 00:08:00 •Past Paper Problems on applications of maxima and minima Part 4: 00:07:00 •Chain Rule: 00:12:00 •Rate of change part 1: 00:05:00 •Rate of change part 2: 00:10:00 •Rate of change part 3: 00:07:00 •Past Paper Problems using chain rule -1: 00:06:00 •Past Paper Problems using chain rule -2: 00:07:00 •Past Paper Problems using chain rule - 3: 00:07:00 •Past Paper Problems using chain rule - 4: 00:04:00 •Downloadable Resources: 00:00:00 •What is Integration?: 00:12:00 •Practice Questions 1: 00:06:00 •Practice Questions 2: 00:09:00 •Practice Questions 3: 00:09:00 •Fundamental Theorem of Calculus: 00:09:00 •What is Definite Integration?: 00:10:00 •Finding Definite Integration: 00:09:00 •Practice Questions on Definite Integration 1: 00:10:00 •Practice Questions on Definite Integration 2: 00:10:00 •Practice Questions on Definite Integration 3: 00:15:00 •Area below x-axis: 00:12:00 •Practice Problems on Area below x-axis 1: 00:11:00 •Practice Problems on Area below x-axis 2: 00:13:00 •Practice Problems on Area below x-axis 3: 00:09:00 •Practice Problems on Area below x-axis 4: 00:07:00 •Area between two curves (Basics): 00:15:00 •Practice Problems on Area between two curves 1: 00:06:00 •Practice Problems on Area between two curves 2: 00:13:00 •Practice Problems on Area between two curves 3: 00:12:00 •Practice Problems on Area between two curves 4: 00:10:00 •Practice Problems on Area between two curves 5: 00:13:00 •The Reverse Chain Rule- Indefinite Integration: 00:06:00 •The Reverse Chain Rule- Definite Integration: 00:05:00 •Practice Problems on The Reverse Chain Rule: 00:09:00 •Improper Integrals: 00:06:00 •Volumes by Integration: 00:08:00 •Practice Problems on Volumes by Integration-1: 00:04:00 •Practice Problems on Volumes by Integration-2: 00:04:00

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Overview This comprehensive course on Computer Science: Graph Theory Algorithms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science: Graph Theory Algorithms 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 Computer Science: Graph Theory Algorithms. It is available to all students, of all academic backgrounds. Requirements Our Computer Science: Graph Theory Algorithms 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 17 sections • 44 lectures • 08:37:00 total length •Promo: 00:03:00 •Introduction: 00:14:00 •Common Problem: 00:10:00 •Depth First Search: 00:11:00 •Breadth First Search: 00:08:00 •Breadth First Search Shortest Path on a Grid: 00:17:00 •Storage and Representation of Trees: 00:10:00 •Beginner Tree Algorithms: 00:10:00 •Rooting Tree: 00:05:00 •Center(s) of a Tree: 00:06:00 •Isomorphisms in Trees: 00:11:00 •Isomorphisms in Trees Source Code: 00:10:00 •Lowest Common Ancestor: 00:17:00 •Topological Sort: 00:14:00 •Shortest and Longest Paths on DAGs: 00:10:00 •Khan's Algorithm: 00:13:00 •Dijkstra's Shortest Path Algorithm: 00:25:00 •Dijkstra's Shortest Path Algorithm Source Code: 00:09:00 •Bellman-Ford Algorithm: 00:15:00 •Floyd-Warshall Algorithm: 00:16:00 •Floyd-Warshall Algorithm Source Code: 00:09:00 •Algorithm to Find Bridges and Articulation Points: 00:20:00 •Algorithm to Find Bridges and Articulation Points Source Code: 00:09:00 •Tarjan's Algorithm for Finding Strongly Connected Components: 00:17:00 •Tarjan's Algorithm for Finding Strongly Connected Components Source Code: 00:07:00 •Travelling Salesman Problem (TSP) with Dynamic Programming: 00:21:00 •Travelling Salesman Problem (TSP) with Dynamic Programming Source Code: 00:14:00 •Existence of Eulerian Paths and Circuit: 00:10:00 •Finding Eulerian Paths and Circuits: 00:16:00 •Eulerian Paths Source Code: 00:08:00 •Prim's Minimum Spanning Tree Algorithm (Lazy Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm ( Eager Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm Source Code ( Eager Version): 00:09:00 •Max Flow Ford-Fulkerson Method: 00:13:00 •Max Flow Ford-Fulkerson Method Source Code: 00:17:00 •Network Flow: Unweighted Bipartite Graph Matching: 00:11:00 •Network Flow: Mice and Owls: 00:08:00 •Network Flow: Elementary Math: 00:11:00 •Network Flow: Edmond-Karp Algorithm: 00:06:00 •Network Flow: Edmond-Karp Algorithm Source Code: 00:10:00 •Network Flow: Capacity Scaling: 00:10:00 •Network Flow: Capacity Scaling Source Code: 00:06:00 •Network Flow: Dinic's Algorithm: 00:12:00 •Network Flow: Dinic's Algorithm Source Code: 00:09:00

Description: Computer operation can be difficult if you have no idea how to do it. However, it only takes a complete beginner course on the computer to learn how. You need to learn the basics, operation systems and how healthy computing works which this course provides. If you think you are ready to start your journey in learning all about the computer, then you don't have to wait for. Start learning now and understand why the computer is considered as a necessity in this modern age. Who is the course for? Beginner to advanced level users can benefit from the lessons we provide People who have an interest in learning about computer and computer maintenance Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Beginners Guide to Computers is a very useful qualification to possess, and will be very helpful to have especially for these careers: Computer Maintenance Staff IT Department Manager Computer Engineer Computer Specialist Computer Technician. Computer Fundamentals Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 Computer Essentials Introduction 00:15:00 Understanding The Components Of A PC 01:30:00 Do You Need To Upgrade Your PC? 01:00:00 Essential Softwares You Must Have On Your PC 01:00:00 Installing And Organizing Your PC 01:00:00 Troubleshooting Guidelines 01:00:00 How To Speak To A Technician 00:30:00 Summary 00:30:00 Operating Systems Introduction 00:15:00 What is an Operating System? 00:30:00 History of Operating System 00:30:00 What an Operating System Does 01:00:00 Microsoft Windows 00:15:00 MAC OS 01:00:00 UNIX 00:30:00 LINUX 00:30:00 GNU 00:30:00 Other Operating Systems999 01:00:00 Installing an Operating System 00:30:00 Defining The Processes 01:00:00 Conclusion 00:15:00 Healthy Computing Introduction 01:00:00 Body Position 01:00:00 Monitors 01:00:00 Keyboards 01:00:00 Mouse or Pointer 02:00:00 Document Holders and Desk 01:00:00 Chairs 02:00:00 Telephones 00:30:00 What Have We Learned 01:00:00 Work Process and Recognition 01:00:00 Lighting 01:00:00 Ventilation 00:30:00 Awkward Postures 02:00:00 Musculoskeletal Disorders (MSD) 02:00:00 4 Steps to Setting Up The Computer Workstation 01:00:00 Exercises and Breaks 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam-Beginners Guide to Computers 00:30:00 Final Exam Final Exam-Beginners Guide to Computers 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Computers are used by billions of people every day around the world. And each of them will have their own ways of working and hence there cannot be a unique correct arrangement of elements that will work well for everyone. Try imagining your workstation and envision if you can identify where you have to improve your posture, placement of system elements and the workstation. This course will guide you along by providing you with tips and tricks to minimise your identified stress and strain while utilising your computer and how to stay healthy though you have to work on your computer all day and thus enables you to design your own workstation. Course Highlights Healthy Computing Online Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Healthy Computing Online Course into 17 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 19 hours, 15 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Healthy Computing Online Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Healthy Computing Online Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Healthy Computing Online Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Introduction 01:00:00 Body Position 01:00:00 Monitors 01:00:00 Keyboards 01:00:00 Mouse or Pointer 02:00:00 Document Holders and Desk 01:00:00 Chairs 02:00:00 Telephones 00:30:00 What Have We Learned 01:00:00 Work Process and Recognition 01:00:00 Lighting 01:00:00 Ventilation 00:30:00 Awkward Postures 02:00:00 Musculoskeletal Disorders (MSD) 02:00:00 4 Steps to Setting Up The Computer Workstation 01:00:00 Exercises and Breaks 01:00:00 Conclusion 00:15:00 Mock Exam Final Exam

Overview This comprehensive course on Speed Up Your Calculation with Mental Mathematics will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Speed Up Your Calculation with Mental Mathematics 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 Speed Up Your Calculation with Mental Mathematics. It is available to all students, of all academic backgrounds. Requirements Our Speed Up Your Calculation with Mental Mathematics 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 19 sections • 74 lectures • 09:08:00 total length •Introduction: 00:02:00 •Important Instructions: 00:01:00 •Multiplication by 11,22,33 Part 1: 00:05:00 •Multiplication by 11,22,33 Part 2: 00:07:00 •Multiplying with 12,13,14,15 etc. Part 3: 00:08:00 •Multiplying with 12,13,14,15 etc. Part 4: 00:06:00 •Downloadable Resources: 00:00:00 •Finding squares of numbers ending with 5: 00:05:00 •When numbers add up to ten in unit place and ten's place digits are same: 00:06:00 •Downloadable Resources: 00:00:00 •Product of two numbers below the base: 00:11:00 •Product of two numbers one above and other below the base: 00:10:00 •Squaring of numbers near to the base: 00:10:00 •Multiples and Sub-Multiples Technique Part 1: 00:15:00 •Multiples and Sub-Multiples Technique Part 2: 00:08:00 •Multiples and Sub-Multiples Technique Part 3: 00:07:00 •Multiplication of three numbers near to base: 00:07:00 •Multiplication of three numbers near to base - Special Case: 00:08:00 •Multiplying any digit number by series of 9; 99; 999; 99999 Part 1: 00:10:00 •Multiplying any digit number by series of 9; 99 ; 999 ; 99999 Part 2: 00:09:00 •Multiplying any digit number by series of 9; 99 ; 999 ; 99999 Part 3: 00:06:00 •Downloadable Resources: 00:00:00 •Multiplying any two digit numbers using Vertically and Crosswise: 00:06:00 •Multiplying three digit numbers using Vertically and Crosswise: 00:07:00 •Multiplying four digit numbers using Vertically and Crosswise: 00:07:00 •Multiplying different digit numbers using Vertically and Crosswise: 00:06:00 •Finding remainder when any digit number is divided by 9: 00:06:00 •Multiplying any digit number by 5, 25, and 125 faster than calculator: 00:09:00 •Downloadable Resources: 00:00:00 •Times Tables Part 1: 00:10:00 •Times Tables Part 2: 00:10:00 •Times Tables Part 3: 00:12:00 •Downloadable Resources: 00:00:00 •Simple Mental Addition: 00:09:00 •Left to Right Addition Part 1: 00:12:00 •Left to Right Addition Part 2: 00:05:00 •Left to Right Addition Part 3: 00:13:00 •Downloadable Resources: 00:00:00 •Addition by Dropping ten's method single digit numbers: 00:07:00 •Addition by Dropping ten's method two-digit numbers: 00:04:00 •Addition by Dropping ten's method three-digit numbers: 00:07:00 •Addition by grouping to ten's method single digit numbers: 00:04:00 •Addition by grouping to ten's method two-digit numbers: 00:06:00 •Addition by grouping to ten's method three-digit numbers: 00:03:00 •Simple Mental Subtraction: 00:05:00 •Left to Right Subtraction Part 1: 00:09:00 •Left to Right Subtraction Part 2: 00:10:00 •Left to Right Subtraction Part 3: 00:10:00 •Left to Right Subtraction Using Nikhilam Sutra: 00:09:00 •Downloadable Resources: 00:00:00 •Division by 9 in 2 seconds: 00:05:00 •Division by 9 continues: 00:06:00 •Division by Nikhiliam Sutra in single line in 2 seconds: 00:14:00 •Division by Nikhiliam Sutra for non-terminating recurring decimals: 00:06:00 •Straight Division by Vedic Math: 00:09:00 •Division by two-digit number: 00:07:00 •Division by three-digit number: 00:07:00 •Division - when answers are in decimals: 00:12:00 •Division by three or four-digit numbers: 00:09:00 •Straight Division - Two special problems: 00:08:00 •What is digital sum of a number?: 00:07:00 •Application of digital sum in addition & subtraction: 00:12:00 •Application of digital sum in multiplication: 00:06:00 •Application of digital sum in Division: 00:08:00 •Duplex of any Digit Number: 00:07:00 •Straight Squaring using Duplex Method Part 1: 00:12:00 •Straight Squaring using Duplex Method Part 2: 00:12:00 •Square Root Using Duplex Method Part 1: 00:15:00 •Square Root Using Duplex Method Part 2: 00:11:00 •Square Root Using Duplex Method Part 3: 00:10:00 •Finding cubes of two Digit Numbers: 00:12:00 •Cube roots Using Fastest Techniques: 00:08:00 •How to find Day of the week in 2 Seconds Part 1: 00:09:00 •How to find Day of the week in 2 Seconds Part 2: 00:09:00

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