93 Sciences courses about Computing delivered On Demand

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 Functional Skills Maths Level 2 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Functional Skills Maths Level 2 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 Functional Skills Maths Level 2. It is available to all students, of all academic backgrounds. Requirements Our Functional Skills Maths Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 15 lectures • 02:40:00 total length •Module 1: Numbers and Negative Numbers: 00:07:00 •Module 2: Multiples Factors: 00:06:00 •Module 3: Fractions and Power: 00:16:00 •Module 4: Percentages: 00:08:00 •Module 5: Expressions: 00:09:00 •Module 6: Decimals: 00:08:00 •Module 7: Ratio and Proportion: 00:10:00 •Module 8: Exponents and Radicals: 00:11:00 •Module 9: Graphs: 00:11:00 •Module 10: The Profit and Loss: 00:07:00 •Module 11: Perimeter and Area: 00:10:00 •Module 12: Averages: 00:09:00 •Module 13: Probability: 00:08:00 •Mock Exam - Functional Skills Maths Level 2: 00:20:00 •Final Exam - Functional Skills Maths Level 2: 00:20:00

Do you want to be an expert on cloud computing procedure? Are you looking for some lucid methods to learn this course easily? If so, this ultimate Diploma in Cloud Computing course is for you to know further in your quest. The lucid contents of the course instruct you how to manage and store data in a cloud computing system than a local server. The course aims to teach you all the effective functions so that you can run smoothly run your business reducing your costs, expense, and hassles of system upgrade of installed software. At the end of the course, you will enable to ensure speed, productivity, performance, security on a global scale. Who is this course for? Diploma in Cloud Computing is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Diploma in Cloud Computing is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Diploma in Cloud Computing What Is Cloud Computing? 00:15:00 Benefits Of Cloud Computing 01:00:00 Is Cloud Computing Really Secure? 01:00:00 The Concept of Public Cloud 00:30:00 The Concept of Private Cloud 00:30:00 Hybrid Cloud and It's Advantages 00:30:00 Types of Cloud for Your Business 00:30:00 Key Features of Cloud Computing 01:00:00 How Cloud Computing Can Revolutionize Your Business? 00:30:00 Wrapping Up 00:15:00 Reference Books Cloud Computing Complete Guide 00:00:00 Cloud Services 00:00:00 Mock Exam Mock Exam-Diploma in Cloud Computing 00:20:00 Final Exam Final Exam-Diploma in Cloud Computing 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Description: The Functional Maths Skills Training aims to provide great insight into the skills and knowledge needed to help prepare you for taking your formal Functional Skills Maths exam, using teaching methods based on the most recent updates within the National Curriculum. This course helps you improve your Maths skills whatever your starting point is. It will cover different areas of maths learning including working with numbers, understanding percentages everyday measurements and much more. The course is delivered by experienced tutors who will use real life and work examples like checking bills, budgeting, calculating percentages, getting the best value for money, averages, using metric and imperial measuring systems; working out perimeter, area and volume and much more. This course will improve maths skills using a problem-solving approach. It can be tailored around specific needs of the business. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Functional Maths Skills Training is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our Functional Maths Skills Training 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Integers Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33.mp4 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Math Techniques Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Finding remainder when a number of any digits is divided by 9 00:04:00 Lecture 4 Multiplying any digit number by series of 9; 99; 999; 99999 Part 1 00:08:00 Lecture 5 Multiplying any digit number by series of 9; 99 ; 999 ; 99999 Part 2 00:07:00 Lecture 6 Product of two numbers below the base number 100; 1000 etc 00:08:00 Lecture 7 Multiplication of Numbers above the base 1000; 10000; 100000 etc 00:08:00 Lecture 8 Multiplication of numbers one above the base and second less than the base 00:06:00 Lecture 9 multiplying any two digit numbers using Vertically and Crosswise 00:04:00 Lecture 10 Multiplying three digit numbers using Vertically and Crosswise 00:05:00 Lecture 11 Multiplying any digit number by 5, 25, and 125 faster than calculator 00:07:00 Lecture 12 Squaring numbers that end in 5 using Vedic Math 00:04:00 Lecture 13 Squaring two digit numbers mentally Using Vedic Math technique 00:06:00 Lecture 14 Squaring three digit numbers mentally Using Vedic Math technique 00:05:00 Lecture 15 Finding cube of any two digit number faster than calculator 00:10:00 Lecture 16 Approximate value of square root of numbers which are not perfect squares 00:09:00 Lecture 17 Approximate value of cube root of numbers which are not perfect cubes 00:05:00 Short Tricks Lecture 18 Short tricks to count Number of Squares in given figure 00:05:00 Lecture 19 Short tricks to count Number of Rectangles in given figure 00:03:00 Lecture 20 Short tricks to count Number of triangles in given figure 00:04:00 Lecture 21 Finding Day of the week when any date is given in 2 Seconds mentally 00:12:00 Simplify calculations super fast Lecture 22 Digital sum of a number 00:04:00 Lecture 23 Digital sum- Addition and Subtraction 00:10:00 Lecture 24 Digital sums- Multiplication 00:07:00 Lecture 25 Digital sum- divisions 00:08:00 Simplification short cuts for complicated fractions and square root problems Lecture 26 Simplification short tricks for complicated fractions 00:10:00 Lecture 27 Simplification short tricks for fractions series part 1 00:07:00 Lecture 28 Simplification short tricks for fractions series part 2 00:05:00 Lecture 29 Simplification short tricks for complicated square root problems 00:09:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Imagine entering a realm where English prose and mathematical formulas dance together in perfect harmony, creating a tapestry of information that nourishes your mind and soul. This is what our Functional Skills Level 2 - Maths and English course promises - a symbiotic blend of numerical precision and linguistic elegance that empowers you to unlock your full potential. As you delve into the intricacies of multiplication, decimals, and grammar, you'll find yourself armed with the tools to conquer academic and professional challenges with ease. Each lesson is a stepping stone towards mastery, with expertly crafted content that makes learning feel like a thrilling adventure. The interactive lectures and practical exercises are your companions on this journey, guiding you towards a realm of clarity and confidence. No longer will you feel daunted by complex word problems or perplexed by the intricacies of sentence structure. Instead, you'll embrace them as opportunities to showcase your newfound prowess. As you emerge from this transformative experience, you'll find yourself not just proficient, but fluent in the language of Maths and English. Your enhanced skills will open doors to new opportunities, enabling you to communicate more effectively, solve problems with precision, and excel in your academic and professional pursuits. Learning Outcomes Apply multiplication techniques for digit numbers 11, 22, 33. Understand and utilise decimal and fraction conversions. Solve word problems involving ratios and proportions. Gain proficiency in basic grammar and sentence structure. Develop skills for accurate spelling and punctuation use. Understand operations on integers and rational numbers. Solve complex problems using BODMAS rules. 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. Who is this course for? Students aiming to enhance their Maths and English skills. Professionals seeking to improve their linguistic abilities. Individuals preparing for competitive exams. Anyone interested in expanding their academic knowledge. Individuals seeking to develop critical thinking skills. Career Path Increased eligibility for jobs requiring strong Maths and English skills. Writer or Editor Communications Specialist Data Analyst Teacher or Tutor in Maths or English Administrative or Office Professional. Salary range in the UK: £20,000 - £40,000, depending on the field and position. Certification  Upon completion of the Functional Skills Level 2 - Maths and English course materials, you are eligible to take a written assignment test either during or post-course. Successfully passing the test allows you to obtain the PDF certificate for £5.99. Additionally, you may order an original hard copy certificate at an extra cost of £9.60. Prerequisites  There are no prerequisites or prior qualifications required to enrol in the Functional Skills Level 2 - Maths and English course. This programme has been professionally developed to be compatible with all PCs, Macs, tablets, and smartphones. Conveniently access the course content from any location at any time, provided you have a reliable internet connection. Course Curriculum Functional Maths Training Course 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 Functional skills English Introduction to the Course 00:13:00 Basics of Grammar 00:16:00 The Basics of Sentence 00:11:00 Structure of Sentence 00:19:00 Question 00:13:00 Punctuation & Capitalisation 00:24:00 Spelling 00:27:00 Common Mistakes and Ways to Improve 00:21:00

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science 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 R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science 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 23 sections • 129 lectures • 06:25:00 total length •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 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •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 •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 •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 •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 •Assignment - R Programming for Data Science: 00:00:00

Overview This comprehensive course on Computer Science With Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science 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 Computer Science With Python. It is available to all students, of all academic backgrounds. Requirements Our Computer Science With Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path 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 5 sections • 152 lectures • 04:54:00 total length •Introduction: 00:03:00 •Quiz 1: 00:02:00 •Quiz 1 Solution: 00:01:00 •What is Programming: 00:03:00 •Quiz 2: 00:01:00 •Quiz 2 Solution: 00:01:00 •Meeting the interpreter and Problem Quiz 3: 00:01:00 •Quiz 3 solution: 00:01:00 •Congratulations: 00:01:00 •Why programming and Quiz 4: 00:02:00 •Quiz 4 Solution: 00:03:00 •Grammar and Python Rules: 00:04:00 •Backus Naur Form: 00:03:00 •Quiz 4 part 2: 00:01:00 •Quiz 4 part 2 Solution: 00:01:00 •Python Grammar and Quiz 5: 00:05:00 •Quiz 5 Solution: 00:03:00 •Quiz 6: 00:01:00 •Quiz 6 Solution: 00:02:00 •Processors: 00:02:00 •Introducing Variables: 00:05:00 •Variables Quiz 7: 00:02:00 •Variables Can Vary: 00:03:00 •Variables Quiz 8: 00:01:00 •Quiz 8 Solution: 00:01:00 •Variables Quiz 9: 00:01:00 •Quiz 9 Solution: 00:01:00 •Variables Quiz 10: 00:01:00 •Quiz 10 Solution: 00:03:00 •Introducing Strings: 00:04:00 •Using Strings Quiz 11: 00:01:00 •Quiz 11 Solution: 00:03:00 •Strings and Numbers - String Concatenation Quiz Solution: 00:03:00 •String indexing: 00:02:00 •Quiz 13: 00:01:00 •Quiz 13 Solution: 00:03:00 •String subsequences: 00:04:00 •String subsequences quiz 14: 00:01:00 •Quiz 14 solution: 00:02:00 •Understanding selection quiz 15: 00:01:00 •Quiz 15 solution: 00:04:00 •Finding string in string quiz 16: 00:04:00 •Quiz 16 solution: 00:02:00 •Testing and quiz 17: 00:02:00 •Quiz 17 solution: 00:03:00 •Find With Parameter Quiz 18: 00:02:00 •Quiz 18 solution: 00:01:00 •Extracting links from a web page Quiz 19: 00:03:00 •Extracting links from a web page Quiz 19 Solution: 00:02:00 •Final Quiz: 00:01:00 •Final Quiz Solution: 00:02:00 •Congratulations: 00:01:00 •Unit Overview: 00:03:00 •Procedural Abstraction: 00:03:00 •Introducing Procedures: 00:04:00 •Procedure code quiz 1: 00:04:00 •Quiz 1 Solution: 00:01:00 •Output and quiz 2: 00:01:00 •Quiz 2 Solution: 00:02:00 •Return Statement and Quiz 3: 00:03:00 •Quiz 3 solution: 00:02:00 •Inc Procedure Quiz 4: 00:01:00 •Quiz 4 Solution: 00:01:00 •Sum Procedure and Quiz 5: 00:01:00 •Quiz 5 Solution: 00:02:00 •Sum procedure with a return statement: 00:02:00 •Square procedure quiz 6: 00:01:00 •Quiz 6 Solution: 00:02:00 •Sum 3 Quiz 7: 00:01:00 •Quiz 7 Solution: 00:02:00 •Double string procedure quiz 8: 00:01:00 •Quiz 8 Solution: 00:01:00 •Find second quiz 9: 00:02:00 •Quiz 9 Solution: 00:02:00 •Equality Comparison Quiz 10: 00:04:00 •Quiz 10 Solution: 00:01:00 •If statement quiz 11: 00:03:00 •Quiz 11 Solution: 00:03:00 •Is friend quiz 12: 00:02:00 •Quiz 12 solution: 00:02:00 •Is friend quiz 13: 00:02:00 •Quiz 13 Solution: 00:02:00 •The Or construct: 00:03:00 •Quiz 14 solution: 00:06:00 •While loop quiz 15: 00:05:00 •Quiz 15 solution: 00:03:00 •While loop quiz 16: 00:01:00 •Quiz 16 solution: 00:02:00 •Print numbers quiz 17: 00:01:00 •Quiz 17 solution: 00:02:00 •Factorial quiz 18: 00:02:00 •Quiz 18 solution: 00:02:00 •Break quiz 19: 00:04:00 •Quiz 19 solution: 00:03:00 •Quiz 20: 00:05:00 •Quiz 20 Solution: 00:01:00 •No links quiz 21: 00:01:00 •Print all links quiz 21 solution: 00:03:00 •Final Quiz: 00:01:00 •Final Quiz Solution: 00:02:00 •Unit Overview: 00:03:00 •Stooges and quiz 1: 00:01:00 •Quiz 1 Solution: 00:01:00 •Countries quiz: 00:01:00 •Quiz 3 solution: 00:01:00 •Relative Size Quiz: 00:01:00 •Quiz 4 Solution: 00:01:00 •Lists Mutation: 00:01:00 •Different Stooges quiz: 00:01:00 •Quiz 5 Solution: 00:01:00 •Secret Agent Man Quiz: 00:01:00 •Replace Spy Quiz: 00:01:00 •Quiz 7 Solution: 00:03:00 •Python List Addition and Length: 00:02:00 •List Operations In Python: 00:02:00 •Python lists length quiz: 00:01:00 •Quiz 8 Solution: 00:01:00 •Append Quiz: 00:01:00 •Hard drive quiz: 00:01:00 •Quiz 11 Solution: 00:01:00 •Python Loops on Lists Quiz: 00:02:00 •Quiz 12 solution: 00:02:00 •Python For loops: 00:03:00 •Sum List Quiz: 00:01:00 •Measure a String Quiz: 00:01:00 •Find Element Quiz: 00:02:00 •Quiz 15 solution: 00:04:00 •Quiz 16 solution: 00:01:00 •Python Union Procedure Quiz: 00:01:00 •Quiz 17 solution: 00:01:00 •Pop in Python Quiz 18: 00:02:00 •Quiz 18 solution: 00:03:00 •Collecting Links: 00:01:00 •Get All Links: 00:02:00 •Starting Get All Links Quiz: 00:01:00 •Quiz 19 solution: 00:01:00 •Updating Links Quiz: 00:01:00 •Quiz 20 Solution: 00:01:00 •Finishing Get All Links Quiz: 00:01:00 •Quiz 21 Solution: 00:01:00 •Finishing the Python Web Crawler: 00:03:00 •Crawling Process Quiz: 00:01:00 •Quiz 22 Solution: 00:01:00 •Crawl Web Quiz: 00:01:00 •Quiz 23 Solution: 00:01:00 •Crawl Web Loop Quiz: 00:01:00 •Quiz 24 Solution: 00:02:00 •Crawl If Quiz: 00:01:00 •Quiz 25 Solution: 00:01:00 •Finishing Crawl Web and Final Quiz: 00:02:00 •Final Quiz Solution & Conclusion: 00:03:00 •Assignment - Computer Science With Python: 00:00:00

Overview This comprehensive course on Functional Skills IT will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Functional Skills IT 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 Functional Skills IT. It is available to all students, of all academic backgrounds. Requirements Our Functional Skills IT is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 15 sections • 64 lectures • 04:55:00 total length •Introduction to IT Fundamentals: 00:03:00 •The Case for Computer Literacy: 00:03:00 •Features Common to Every Computing Device: 00:02:00 •Common General-Purpose Computing Devices: 00:02:00 •Networks of Computing Devices: 00:04:00 •Remotely-Accessed Computer Systems: 00:04:00 •Specialized Computer Systems: 00:02:00 •Specialty I/O Devices: 00:01:00 •CPUs: 00:03:00 •Passive and Active Cooling: 00:03:00 •RAM and Active Memory: 00:05:00 •Motherboards: 00:03:00 •Power Supplies: 00:03:00 •AMA - Ask Me Anything about System Hardware: 00:07:00 •Ports and Connectors: 00:03:00 •General Use I/O Devices: 00:02:00 •AMA - Ask Me Anything about I/O, Ports and Peripherals: 00:07:00 •Basics of Binary: 00:04:00 •Storage Technologies: 00:04:00 •Mass Storage Variation: 00:03:00 •AMA - Ask Me Anything about Data Storage and Sharing: 00:07:00 •Operating System Functions: 00:04:00 •Operating System Interfaces: 00:05:00 •AMA - Ask Me Anything about Understanding OS's: 00:05:00 •Preparing the Work Area: 00:02:00 •Setting up a Desktop PC: 00:01:00 •Completing PC Setup: 00:04:00 •AMA - Ask Me Anything about Setting up and Configuring a PC: 00:09:00 •Personalizing a Tablet: 00:08:00 •AMA - Ask Me Anything about Mobile Devices Part 1: 00:07:00 •AMA - Ask Me Anything about Mobile Devices Part 2: 00:07:00 •File Management Tools: 00:02:00 •File Manipulation: 00:06:00 •Backups: 00:03:00 •AMA - Ask Me Anything about Managing Files: 00:08:00 •Walking Survey of Applications: 00:03:00 •Managing Applications: 00:03:00 •Applications and Extensions: 00:04:00 •AMA - Ask Me Anything about Working with Applications: 00:07:00 •Wi-Fi Setup: 00:06:00 •Going High Speed: 00:03:00 •Setting Up and Sharing Printers: 00:05:00 •AMA - Ask Me Anything about Networks and Internet Connectivity Part 1: 00:07:00 •AMA - Ask Me Anything about Networks and Internet Connectivity Part 2: 00:05:00 •Physical Security: 00:05:00 •Dealing with Malware: 00:03:00 •Password Management: 00:03:00 •Clickworthy: 00:03:00 •Perils of Public Internet: 00:02:00 •AMA - Ask Me Anything about IT Threat Mitigation Part 1: 00:07:00 •AMA - Ask Me Anything about IT Threat Mitigation Part 2: 00:08:00 •Power Management: 00:02:00 •Cleaning and Maintaining Computers: 00:02:00 •Trash it or Stash it?: 00:02:00 •AMA - Ask Me Anything about Computer Maintenance and Management: 00:11:00 •Troubleshooting 101: 00:03:00 •AMA - Ask Me Anything about Troubleshooting Computers Part 1: 00:10:00 •AMA - Ask Me Anything about Troubleshooting Computers Part 2: 00:11:00 •Introduction to Databases: 00:06:00 •Database Details: 00:06:00 •AMA - Ask Me Anything about Databases: 00:06:00 •Introduction to Programming: 00:04:00 •Programming with a PBJ Sandwich: 00:08:00 •AMA - Ask Me Anything about Programming: 00:04:00

Description: Computer programming is the practice where using the original formulation of computing of a computing problem turns into a computer program. If you want to learn about computer programming, you need to take training or enroll in an institution. This course will provide you with the lessons you need to know about computer programming. By the end of this course, you will be able to handle issues in computer programming and learn the concepts easily. In this course, you will learn necessary skills, information, and knowledge of computer programming.  Who is the course for? Intermediate level users who want to acquire or upgrade their programming skills People who have the interest to learn more about programming 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 Computer Programming Intermediate Level is a very useful qualification to possess, and will be very helpful to have especially for these careers: Computer Maintenance Staff IT Department Manager IT Specialists Computer Engineer Computer Specialist Programmers. Computer Programming at a Glance COMPUTER PROGRAMMING AT A GLANCE 01:00:00 UNDERSTANDING THE LANGUAGE OF THE COMPUTER 00:30:00 Choosing a Language 00:30:00 Basic Programming Language BASIC Programming Language 01:00:00 Getting Started with BASIC Programming Language 01:00:00 BASIC Overview of BASIC Components 01:00:00 BASIC Special Variables 01:00:00 BASIC Probability Functions 01:00:00 Filtering the Data Set or Splitting the Data Set 01:00:00 DATA Blocks 01:00:00 DELETE Statement 01:00:00 FORNEXT Statement 01:00:00 IF. . . THEN Statement 01:00:00 PHP Programming Welcome to the world of programming! 00:30:00 Getting Started 01:00:00 Let's Start Coding! 01:00:00 PHP Strings 01:00:00 PHP Variables 01:00:00 Useful Variables 00:30:00 PHP Includes & Problem Solving 01:00:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:30:00 Multiple Conditions 01:00:00 PHP Arrays 01:00:00 PHP Loops 01:00:00 Note on PHP Math Functions: 00:30:00 Functions 01:00:00 PHP Sessions 00:30:00 Cookies 01:00:00 Introduction to MySQL 01:00:00 Making The Connection 01:00:00 Inserting Data 01:00:00 Deleting / Removing Data 00:15:00 Mock Exam Mock Exam- Computer Programming Intermediate Level 00:30:00 Final Exam Final Exam- Computer Programming Intermediate Level 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00