345 Computing Skills courses delivered Online

Course Overview: Imagine the power of interacting with databases, organising vast information, and extracting valuable insights - all at your fingertips. This might seem like a formidable task, but SQL, or Structured Query Language, brings this within reach. It is one of the most in-demand skills in the tech industry, with a projected 10% job growth rate over the next decade. Our course, The Complete SQL from Scratch: Bootcamp, provides a thorough understanding of SQL, irrespective of your prior familiarity with it. This comprehensive course walks you through the journey from the fundamentals of databases to the intricate functionalities of SQL. The curriculum includes detailed discussions on database creation, table manipulation, SQL statements, and utilisation of various operators. Moreover, it also covers essential operations like data backup and restoration, thus preparing learners for real-life database management scenarios. The course design ensures a smooth transition from one concept to another, enabling learners to solidify their understanding at each step. Enrol today and start learning SQL! Key Features of the Course: CPD certificate: Upon completion of the course, you'll receive a CPD certificate that you can use to demonstrate your skills to employers. 24/7 Learning Assistance: Our team of experts is available 24/7 to answer your questions and help you progress through the course. Interesting learning materials: The course is packed with engaging videos, interactive exercises, and quizzes to help you learn SQL in a fun and effective way. Who is This Course For? The Complete SQL from Scratch: Bootcamp course is suitable for anyone interested in diving into the world of databases or enhancing their skills further. Beginners with no prior knowledge and professionals seeking an in-depth understanding of SQL would equally benefit from the course. What You Will Learn: Through The Complete SQL from Scratch: Bootcamp , you will learn: An in-depth understanding of databases and their functions. Familiarity with PostgreSQL installation and various connections. Proficiency in manipulating data including insert, update, delete operations. A comprehensive grasp of complex SQL commands and queries. Skills to design and alter table structures using SQL scripts. Advanced knowledge about SQL statements, their structure, and usage. Competence in data backup and restoration in databases. Why Enrol in This Course: The Complete SQL from Scratch: Bootcamp course is reviewed as a top choice among learners, and is recently updated to match the trending industry needs. By enrolling, you will acquire a set of skills that are crucial in today's data-centric world, enhancing your employability and competitive edge. Requirements: No prior experience is required A computer with internet access Career Path: Database Administrator (average UK salary £47,000) Data Analyst (£40,000), Business Analyst (£43,000) SQL Developer (£45,000) Database Engineer (£48,000) Systems Analyst (£41,000) Data Architect (£62,000). Certification: After successfully completing the course, you will receive a CPD certificate, signifying your expertise in SQL. This course is your stepping stone to becoming a proficient database professional. Enrol and Lets get started! Course Curriculum 12 sections • 56 lectures • 06:39:00 total length •Introduction: 00:04:00 •Course Curriculum overview: 00:04:00 •Overview of Databases: 00:08:00 •PostgreSQL Installation: 00:13:00 •Connecting to PostgreSQL using psql: 00:04:00 •Connecting to PostgreSQL using PgAdmin: 00:07:00 •Basic of Database and Tables: 00:06:00 •Data Types: 00:07:00 •Primary Keys and Foreign Keys: 00:04:00 •Create Table in SQL Script: 00:17:00 •Insert: 00:05:00 •Update: 00:05:00 •Delete: 00:03:00 •Alter Table: 00:05:00 •Drop Table: 00:02:00 •Check Constraint: 00:12:00 •NOT NULL Constraint: 00:04:00 •UNIQUE Constraint: 00:06:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:07:00 •SELECT Statement: 00:12:00 •SELECT DISTINCT: 00:10:00 •Column AS Statement: 00:07:00 •COUNT: 00:07:00 •SELECT WHERE Clause - One: 00:06:00 •SELECT WHERE Clause - Two: 00:11:00 •ORDER: 00:05:00 •LIMIT: 00:04:00 •BETWEEN keyword usage on real time: 00:08:00 •IN Operator: 00:06:00 •LIKE and ILIKE: 00:10:00 •Overview of GROUP BY: 00:03:00 •Aggregation Function: 00:12:00 •GROUP BY - One: 00:05:00 •GROUP BY - Two: 00:06:00 •HAVING on SQL Statement: 00:04:00 •Overview of JOINS: 00:07:00 •Introduction to JOINS: 00:06:00 •AS Statement table: 00:05:00 •INNER Joins: 00:14:00 •Full Outer Joins: 00:04:00 •Left Outer join: 00:03:00 •Right Outer Join: 00:05:00 •Union: 00:05:00 •Basic of Advanced SQL Commands: 00:04:00 •Timestamps: 00:17:00 •Extract from Timestamp: 00:05:00 •Mathematical Functions: 00:06:00 •String Functions: 00:16:00 •SubQuery: 00:08:00 •Overview of Databases and Tables: 00:02:00 •Creating a Database backup: 00:03:00 •Restoring a Database from backup: 00:04:00 •Overview Assessment Test: 00:02:00 •Mock Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00 •Final Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00

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The Bash Scripting, Linux and Shell Programming Masterclass course is a comprehensive guide to mastering Bash scripting, Linux, and shell programming. It's designed to address a common challenge: the complexity of navigating and controlling Linux-based systems. By simplifying these concepts, the course empowers learners to manage and operate within a Linux environment efficiently. The ability to script and program in the shell opens doors to streamlined processes, automation, and enhanced productivity, benefits that are crucial in today's tech-driven world. Through this masterclass, you will learn the essentials of Linux navigation, file management, and shell programming. Each section is crafted to build your skills progressively, ensuring a deep understanding of each aspect. Whether managing users, handling text files, or exploring advanced Bash features, the course is structured to provide practical, real-world applications. This approach not only enhances your technical skills but also boosts your problem-solving abilities within a Linux context. By the end of this course, you will be proficient in the technical aspects of Linux and Bash scripting and gain a strategic edge in applying these skills. The course is designed for accessibility, allowing learners to study at their own pace, from any device. This flexibility ensures that you can integrate learning seamlessly into your schedule, making it ideal for both beginners and those looking to refresh their skills Learning Outcomes Gain proficiency in basic Bash scripting and shell programming. Learn to navigate efficiently within the Linux environment. Develop skills to access and use help resources in Linux. Acquire expertise in managing files and folders in Linux. Understand how to manipulate and process text files. Learn to manage user accounts and permissions in Linux. Master techniques for terminating programs and safe logouts. Discover efficient shortcuts for faster Linux operations. Deepen understanding of Bash specifics and advanced features. Access a wealth of resources for ongoing Linux learning. Why choose this Bash Scripting, Linux and Shell Programming Masterclass? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Bash Scripting, Linux and Shell Programming Masterclass for? Beginners eager to learn about Linux and shell programming. IT professionals seeking to enhance their scripting skills. System administrators aiming to improve their Linux proficiency. Developers interested in automating tasks with Bash scripting. Anyone curious about mastering Linux-based systems. Career path Linux System Administrator: £25,000 - £50,000. DevOps Engineer: £30,000 - £70,000. IT Support Specialist: £20,000 - £40,000. Software Developer (with Linux skills): £25,000 - £55,000. Network Engineer: £25,000 - £50,000 Prerequisites This Bash Scripting, Linux and Shell Programming Masterclass does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Bash Scripting, Linux and Shell Programming Masterclass was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction 00:02:00 Bash vs Shell vs Command Line vs Terminal 00:06:00 Section 02: Navigation Listing Folder Contents (ls) 00:05:00 Print Current Folder (pwd) 00:01:00 Change Folder (cd) 00:03:00 Using A Stack To Push Folders (pushd/popd) 00:03:00 Check File Type (file) 00:01:00 Find File By Name (locate) & Update Locate Database (updatedb) 00:02:00 Find A Command (which) 00:02:00 Show Command History (history) 00:02:00 Section 03: Getting Help Show Manual Descriptions (whatis) 00:01:00 Search Manual (apropos) 00:02:00 Reference Manuals (man) 00:02:00 Section 04: Working With Files/Folders Creating A Folder (mkdir) 00:02:00 Creating A File (touch) 00:02:00 Copy Files/Folders (cp) 00:02:00 Move & Rename Files/Folders (mv) 00:02:00 Delete Files/Folders (rm) 00:02:00 Delete Empty Folder (rmdir) 00:02:00 Change File Permissions (chmod) 00:06:00 Section 05: Text Files File Concatenation (cat) 00:03:00 File Perusal Filter (more/less) 00:02:00 Terminal Based Text Editor (nano) 00:03:00 Section 06: Users Run Commands As A Superuser (sudo) 00:03:00 Change User (su) 00:03:00 Show Effecter User and Group IDs (id) 00:02:00 Section 07: Killing Programs & Logging Out Kill A Running Command (ctrl + c) 00:02:00 Kill All Processes By A Name (killall) 00:02:00 Logging Out Of Bash (exit) 00:01:00 Section 08: Shortcuts Tell Bash That There Is No More Input (ctrl + d) 00:02:00 Clear The Screen (ctr + l) 00:02:00 Zoom In (ctrl + +) 00:02:00 Zoom Out (ctrl + -) 00:02:00 Moving The Cursor 00:02:00 Deleting Text 00:04:00 Fixing Typos 00:03:00 Cutting and Pasting 00:03:00 Character Capitalisation 00:03:00 Section 09: Bash Bash File Structure 00:03:00 Echo Command 00:04:00 Comments 00:04:00 Variables 00:06:00 Strings 00:06:00 While Loop 00:04:00 For Loop 00:04:00 Until Loop 00:03:00 Break & Continue 00:03:00 Get User Input 00:02:00 If Statement 00:09:00 Case Statements 00:06:00 Get Arguments From The Command Line 00:04:00 Functions 00:05:00 Global vs Local Variables 00:03:00 Arrays 00:06:00 Shell & Environment Variables 00:06:00 Scheduled Automation 00:03:00 Aliases 00:03:00 Wildcards 00:03:00 Multiple Commands 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Bash Scripting; Linux and Shell Programming Masterclass 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 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 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

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

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 Algebra Fundamentals will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Algebra 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 Algebra Fundamentals. It is available to all students, of all academic backgrounds. Requirements Our Algebra 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 17 sections • 83 lectures • 11:02:00 total length •Lecture 1 Introduction: 00:03:00 •Lecture 2 What is Algebra: 00:02:00 •Lecture 3 Simple Equations: 00:05:00 •Lecture 4 What are Polynomials: 00:04:00 •Lecture 5 Terms in Polynomials: 00:03:00 •Lecture 6 Degree of Polynomials: 00:05:00 •Lecture 7 Writing statements to algebraic form: 00:04:00 •Lecture 8 Integers and common mistakes in solving integers: 00:13:00 •Lecture 9 Arrangement of Terms: 00:07:00 •Lecture 10 Powers on integers: 00:04:00 •Lecture11 Simplification using BODMAS: 00:08:00 •Lecture 12 Distributive Properties in Polynomials: 00:04:00 •Lecture 13 Simplify Polynomials: 00:10:00 •Lecture 14 Additions of Polynomials: 00:06:00 •Lecture 15 Subtractions of Polynomials: 00:10:00 •Lecture 16 The rules of Indices in algebra: 00:11:00 •Lecture 17 Fractional indices: 00:10:00 •Lecture 18 Understanding indices (practice questions): 00:07:00 •Lecture 19 Problems from IGCSE Last year papers: 00:09:00 •Lecture 20 Multiplication of monomial to Polynomial: 00:09:00 •Lecture 21 Multiplication of Polynomial by Polynomial: 00:06:00 •Lecture 22 Division of algebraic expression by a monomial: 00:08:00 •Lecture 23 Division of algebraic expression by another polynomial: 00:09:00 •Lecture 24 Division of a polynomial by another polynomial with remainder: 00:11:00 •Lecture 25 Rules of brackets: 00:04:00 •Lecture 26 Simplification by removing brackets: 00:11:00 •Lecture 27 Simplification of algebraic fractions: 00:07:00 •Lecture 28 Rules to solve linear equations in one variable: 00:03:00 •Lecture 29 Solving linear equations in one variable: 00:07:00 •Lecture 30 Solving complex linear equations in one variable: 00:10:00 •Lecture 31 Word problems on linear equations in one variable: 00:13:00 •Lecture 32 What are Identities?: 00:05:00 •Lecture 33 Identity ( a + b ) ²: 00:13:00 •Lecture 35 Identity a² - b² = (a-b) (a +b ) new: 00:07:00 •Lecture 36 -- Standard Identities ( a + b + c ) ² = a ² + b ² + c ² + 2 a b + 2 a c +2 b c old: 00:07:00 •Lecture 37 Identity (x + a) (x + b) Identity Derivation & Application new: 00:08:00 •Lecture 38 Pascal's Triangle _ Identity ( a + b ) ³ new: 00:07:00 •Lecture 39 Identities( a - b ) ³, ( a ³ + b ³) and (a ³ - b ³) new: 00:13:00 •Lecture 40 - Standard Identities a ³ + b ³ + c ³ - 3 a b c: 00:10:00 •Lecture 41 -Changing the subject of formula: 00:08:00 •Lecture 42 - Linear Inequalities: 00:12:00 •Lecture 43 - Factorization by taking out common factor: 00:10:00 •Lecture 44 - Factorization by grouping the terms: 00:09:00 •Lecture 45 - factorize using identity a ² - b ²: 00:07:00 •Lecture 46 - factorize using identity (a + b )² and (a - b )² (2): 00:08:00 •Lecture 47 - factorize using identity ( a + b + c ) ²: 00:05:00 •Lecture 48 - factorization by middle term split: 00:12:00 •Lecture 49 -Simplification of algebraic fractions: 00:06:00 •Lecture 50 All that you need to know about co ordinate axis: 00:04:00 •Lecture 51 Some important facts needed to draw line graph: 00:03:00 •Lecture 52 - How to draw a line graph on coordinate plane: 00:03:00 •Lecture 53 Drawing line graphs: 00:06:00 •Lecture 54 Simultaneous Linear Equations in two variables- intro: 00:03:00 •Lecture 55 Graphical method of solving linear equations: 00:06:00 •Lecture 56 Graphical method - more problems: 00:10:00 •Lecture 57 Method of Elimination by substitution: 00:09:00 •Lecture 58 Method of Elimination by Equating coefficients: 00:11:00 •Lecture 59 Method of Elimination by cross multiplication: 00:07:00 •Lecture 60 Equations reducible to simultaneous linear equations: 00:12:00 •Lecture 61 Word Problems on Linear equations: 00:18:00 •Lecture 62 Polynomials and Zeros of polynomials: 00:10:00 •Lecture 63 Remainder Theorem: 00:04:00 •Lecture 64 Factor Theorem: 00:08:00 •Lecture 65 Practice problems on Remainder and Factor Theorem: 00:09:00 •Lecture 66 Factorization using factor Theorem: 00:10:00 •Lecture 67 Zeros of polynomials α, β & γ: 00:10:00 •Lecture 68 Relation between zeros and coefficients of a polynomials: 00:13:00 •Lecture 69 Finding polynomials if zeros are known: 00:06:00 •Lecture 70 Practice problems on zeros of polynomials: 00:10:00 •Lecture 71Problems solving with α and β (part 1): 00:11:00 •Lecture 72 Problems solving with α and β (part 2): 00:10:00 •Lecture73 what are Quadratic equations: 00:03:00 •Lecture 74 Solutions by factorization method: 00:12:00 •Lecture 75 Solutions by completing square formula: 00:06:00 •Lecture 76 Deriving Quadratic formula: 00:05:00 •Lecture 77 Practice problems by Quadratic formula: 00:07:00 •Lecture 78 Solving complex quadratic equations by Quadratic Formula: 00:11:00 •Lecture 79 Solutions of reducible to Quadratic Formula: 00:09:00 •Lecture 80 Skilled problems on Quadratic Equations: 00:07:00 •Lecture 81 Exponential problems reducible to Quadratic Equations: 00:06:00 •Lecture 82 Nature of Roots of Quadratic Equations: 00:09:00 •Lecture 83 Word problems on quadratic Equations Part 1: 00:13:00 •Lecture 84 Word problems on quadratic Equations Part 2: 00:11:00

Overview This comprehensive course on Advanced Mathematics will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Advanced 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 Advanced Mathematics. It is available to all students, of all academic backgrounds. Requirements Our Advanced 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 8 sections • 30 lectures • 03:23:00 total length •Introduction: 00:01:00 •Introduction to Mathematical Logic, What is Sentence, Statements and their Types: 00:02:00 •Introduction to Logical Connectivity, Tautology, Contradiction, Contingency, Pattern: 00:06:00 •Quantitative and Quantified Statement and types and example: 00:03:00 •Dual: Replacing of Connections and Symbols: 00:02:00 •Negations of Compound Statement, Converse, Inverse, & Contrapositive: 00:03:00 •Algebra of Statements and Law: 00:05:00 •Real Life application of Logic to Switching Electric Circuit: 00:05:00 •Introduction to Matrices, Multiplication and Addition using Matrix: 00:06:00 •Inverse of Matrix Uniqueness of Inverse, Elementary Transformation: 00:09:00 •Method of REDUCTION AND INVERSION with real life example how we can implement: 00:17:00 •Introduction to Trigonometric Function: 00:03:00 •General Solutions and Theorem: 00:10:00 •Solution of Triangle: Polar Co-ordinates: 00:21:00 •Rules and Theorems of Sin Cosine and Tan: 00:22:00 •Introduction & Combined Equations: 00:07:00 •Degrees and Types: 00:13:00 •Some Theorem: 00:17:00 •Introduction - vector Cartesian theorem: 00:02:00 •Cartesian Equation & 2 Point Theorem: 00:03:00 •Theorems & Problem Solving: 00:05:00 •Distance of Point Line: 00:05:00 •Skew Lines: 00:01:00 •Distance of skew lines: 00:03:00 •Distance between parallel lines: 00:02:00 •Equation of Plane and Cartesian Form: 00:10:00 •Linear Programming Introduction: 00:08:00 •Introduction to LPP (Linear Programming Problem): 00:05:00 •LPP Problem Solving: 00:07:00 •Assignment - Advanced Mathematics: 00:00:00