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A code-oriented interactive course that will help you build a solid foundation that is essential to excel in all areas of computer science, specifically data science and machine learning. We will apply all concepts through code and focus on the concepts that are more useful for data science, machine learning, and other areas of computer science.

The Course offers an understanding of the statistical concepts and epidemiological strategies utilized in health and social care. The learner will be able to understand and apply strategies to deal with medical and pandemic-related emergencies and understand the statistical tools used to measure mortality, morbidity and general trends in health and social care. After the successful completion of this course, the learner will be able to; Define epidemiology and statistics in health and social care. Understand the importance of epidemiology and statistics in health and social care. Understand measures of disease frequency, including incidence and prevalence. Understand types of epidemiology, including descriptive and analytic epidemiology. Understand the applications of epidemiology in health and social care, including surveillance of disease, identification of risk factors, and evaluation of interventions. Understand descriptive statistics, including central tendency and variability measures. Understand the applications of statistics in health and social care, including data analysis, sample size calculation, and power calculation. The Course offers an understanding of the statistical concepts and epidemiological strategies utilized in health and social care. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Epidemiology and Statistics in Health and Social Care Self-paced pre-recorded learning content on this topic. Epidemiology and Statistics in Health and Social Care Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Clinic/Hospital Supervisor, Director, Manager Health Associate Public Health policy makers/professionals. Health and social care professionals. Social Entrepreneurs with interest in public health and general well-being. Average Completion Time 2 Weeks Accreditation 4 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Overview This comprehensive course on Statistics & Probability for Data Science & Machine Learning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics & Probability for Data Science & Machine Learning 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 Statistics & Probability for Data Science & Machine Learning. It is available to all students, of all academic backgrounds. Requirements Our Statistics & Probability for Data Science & Machine Learning 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 10 sections • 89 lectures • 11:27:00 total length •Welcome!: 00:02:00 •What will you learn in this course?: 00:06:00 •How can you get the most out of it?: 00:06:00 •Intro: 00:03:00 •Mean: 00:06:00 •Median: 00:05:00 •Mode: 00:04:00 •Mean or Median?: 00:08:00 •Skewness: 00:08:00 •Practice: Skewness: 00:01:00 •Solution: Skewness: 00:03:00 •Range & IQR: 00:10:00 •Sample vs. Population: 00:05:00 •Variance & Standard deviation: 00:11:00 •Impact of Scaling & Shifting: 00:19:00 •Statistical moments: 00:06:00 •What is a distribution?: 00:10:00 •Normal distribution: 00:09:00 •Z-Scores: 00:13:00 •Practice: Normal distribution: 00:04:00 •Solution: Normal distribution: 00:07:00 •Intro: 00:01:00 •Probability Basics: 00:10:00 •Calculating simple Probabilities: 00:05:00 •Practice: Simple Probabilities: 00:01:00 •Quick solution: Simple Probabilities: 00:01:00 •Detailed solution: Simple Probabilities: 00:06:00 •Rule of addition: 00:13:00 •Practice: Rule of addition: 00:02:00 •Quick solution: Rule of addition: 00:01:00 •Detailed solution: Rule of addition: 00:07:00 •Rule of multiplication: 00:11:00 •Practice: Rule of multiplication: 00:01:00 •Solution: Rule of multiplication: 00:03:00 •Bayes Theorem: 00:10:00 •Bayes Theorem - Practical example: 00:07:00 •Expected value: 00:11:00 •Practice: Expected value: 00:01:00 •Solution: Expected value: 00:03:00 •Law of Large Numbers: 00:08:00 •Central Limit Theorem - Theory: 00:10:00 •Central Limit Theorem - Intuition: 00:08:00 •Central Limit Theorem - Challenge: 00:11:00 •Central Limit Theorem - Exercise: 00:02:00 •Central Limit Theorem - Solution: 00:14:00 •Binomial distribution: 00:16:00 •Poisson distribution: 00:17:00 •Real life problems: 00:15:00 •Intro: 00:01:00 •What is a hypothesis?: 00:19:00 •Significance level and p-value: 00:06:00 •Type I and Type II errors: 00:05:00 •Confidence intervals and margin of error: 00:15:00 •Excursion: Calculating sample size & power: 00:11:00 •Performing the hypothesis test: 00:20:00 •Practice: Hypothesis test: 00:01:00 •Solution: Hypothesis test: 00:06:00 •T-test and t-distribution: 00:13:00 •Proportion testing: 00:10:00 •Important p-z pairs: 00:08:00 •Intro: 00:02:00 •Linear Regression: 00:11:00 •Correlation coefficient: 00:10:00 •Practice: Correlation: 00:02:00 •Solution: Correlation: 00:08:00 •Practice: Linear Regression: 00:01:00 •Solution: Linear Regression: 00:07:00 •Residual, MSE & MAE: 00:08:00 •Practice: MSE & MAE: 00:01:00 •Solution: MSE & MAE: 00:03:00 •Coefficient of determination: 00:12:00 •Root Mean Square Error: 00:06:00 •Practice: RMSE: 00:01:00 •Solution: RMSE: 00:02:00 •Multiple Linear Regression: 00:16:00 •Overfitting: 00:05:00 •Polynomial Regression: 00:13:00 •Logistic Regression: 00:09:00 •Decision Trees: 00:21:00 •Regression Trees: 00:14:00 •Random Forests: 00:13:00 •Dealing with missing data: 00:10:00 •ANOVA - Basics & Assumptions: 00:06:00 •One-way ANOVA: 00:12:00 •F-Distribution: 00:10:00 •Two-way ANOVA - Sum of Squares: 00:16:00 •Two-way ANOVA - F-ratio & conclusions: 00:11:00 •Wrap up: 00:01:00 •Assignment - Statistics & Probability for Data Science & Machine Learning: 00:00:00

Are you looking to elevate your professional skills to new heights? Introducing our Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma, a QLS-endorsed course bundle that sets a new standard in online education. This prestigious endorsement by the Quality Licence Scheme (QLS) is a testament to the exceptional quality and rigour of our course content. The bundle comprises 11 CPD-accredited courses, each meticulously designed to meet the highest standards of learning. This endorsement not only highlights the excellence of our courses but also assures that your learning journey is recognised and valued in the professional world. The purpose of Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma is to provide learners with a comprehensive, skill-enriching experience that caters to a variety of professional needs. Each course within the bundle is crafted to not only impart essential knowledge but also to enhance practical skills, ensuring that learners are well-equipped to excel in their respective fields. From gaining cutting-edge industry insights to mastering critical thinking and problem-solving techniques, this bundle is an amalgamation of learning experiences that are both enriching and empowering. Moreover, Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma goes beyond just online learning. Upon completion of the bundle, learners will receive a free QLS Endorsed Hardcopy Certificate & 11 CPD Accredited PDF Certificate, a tangible acknowledgement of their dedication and hard work. This certificate serves as a powerful tool in showcasing your newly acquired skills and knowledge to potential employers. So, why wait? Embark on this transformative learning journey today and unlock your potential with Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma! This premium bundle comprises the following courses, QLS Endorsed Course: Course 01: Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Advanced Diploma CPD QS Accredited Courses: Course 02: Statistical Concepts and Application with R Course 03: Learn Financial Analytics and Statistical Tools Course 04: Statistical Analysis Course 05: Quick Data Science Approach from Scratch Course 06: Complete Python Machine Learning & Data Science Fundamentals Course 07: Mathematics Fundamentals - Percentages Course 08: Mathematics Fundamentals Course 09: Computer Simulation of Realistic Mathematical Models Course 10: Mastering Microsoft Office: Word, Excel, PowerPoint, and 365 Course 11: Decision Making and Critical Thinking Course 12: Time Management Training - Online Course Learning Outcomes Upon completion of the bundle, you will be able to: Acquire industry-relevant skills and up-to-date knowledge. Enhance critical thinking and problem-solving abilities. Gain a competitive edge in the job market with QLS-endorsed certification. Develop a comprehensive understanding of Data Science & Machine Learning. Master practical application of theoretical concepts. Improve career prospects with CPD-accredited courses. The Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diplomaoffers an unparalleled learning experience endorsed by the Quality Licence Scheme (QLS). This endorsement underlines the quality and depth of the courses, ensuring that your learning is recognised globally. The bundle includes 11 CPD-accredited courses, each meticulously designed to cater to your professional development needs. Whether you're looking to gain new skills, enhance existing ones, or pursue a complete career change, this bundle provides the tools and knowledge necessary to achieve your goals. The Quality Licence Scheme (QLS) endorsement further elevates your professional credibility, signalling to potential employers your commitment to excellence and continuous learning. The benefits of this course are manifold - from enhancing your resume with a QLS-endorsed certification to developing skills directly applicable to your job, positioning you for promotions, higher salary brackets, and a broader range of career opportunities. Embark on a journey of professional transformation with Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma today and seize the opportunity to stand out in your career. Enrol in Data Science & Machine Learning now and take the first step towards unlocking a world of potential and possibilities. Don't miss out on this chance to redefine your professional trajectory! Certificate of Achievement: QLS-endorsed courses are designed to provide learners with the skills and knowledge they need to succeed in their chosen field. The Quality Licence Scheme is a distinguished and respected accreditation in the UK, denoting exceptional quality and excellence. It carries significant weight among industry professionals and recruiters. Upon completion, learners will receive a Free Premium QLS Endorsed Hard Copy Certificate titled 'Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Advanced Diploma' & 11 Free CPD Accredited PDF Certificates. These certificates serve to validate the completion of the course, the level achieved, and the QLS endorsement. Please Note: NextGen Learning is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma bundle is ideal for: Professionals seeking to enhance their skills and knowledge. Individuals aiming for career advancement or transition. Those seeking CPD-accredited certification for professional growth. Learners desiring a QLS-endorsed comprehensive learning experience. Requirements You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. Career path Upon completing the Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma course bundle, each offering promising prospects and competitive salary ranges. Whether you aspire to climb the corporate ladder in a managerial role, delve into the dynamic world of marketing, explore the intricacies of finance, or excel in the ever-evolving field of technology. Certificates CPD Quality Standard Certificate Digital certificate - Included Free 11 CPD Accredited PDF Certificates. QLS Endorsed Certificate Hard copy certificate - Included

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

10 QLS Endorsed Courses for Data Scientist | 10 Endorsed Certificates Included | Life Time Access

Learning and applying new techniques can often be a daunting experience. This course helps you out with 100+ tips and tricks on Stata with each video designed to be stand-alone and taking no more than 2 minutes. If you want to learn more about Stata but don't have a lot of time, this is the course for you!

Highlights of the Course Course Type: Self-Paced Online Learning Accreditation: Pearson Edexcel Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access: 1 Year Access Tutor Support: Paid Tutor Support Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this GCSE Maths Course, you will be able to: Become fluent in your understanding, skills, and knowledge of mathematical concepts and techniques Know how to use mathematical reasoning, inference and deduction, and conclusion-making Possess the capacity to comprehend, interpret, and communicate mathematical knowledge in a variety of context- and content-appropriate ways Know how to apply the skills you acquired from this course in a real-life context Learn how to apply mathematical techniques to address diverse issues GCSE Maths Course - Foundation Tier GCSE Maths Online This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual, making it a nationally recognised credential that will improve your CV and set you apart from the competition. This comprehensive course will equip you with the knowledge and qualifications you need to demonstrate your grasp of fundamental math theories like algebra, ratio, geometry, probability, statistics, etc. Towards the end of this course, you will gain extensive mathematical skills and expertise to pass the official exam and address potential issues around you. Who is this Course for? The following individuals may benefit from this GCSE Maths Course: University applicants Students who require a grade within grades 1-5 Anyone who finds the higher tier difficult Anyone interested to build a career in STEM Anyone planning to take maths in A-level Anyone trying to increase their chances of landing a job Anyone who desires to develop their mathematical foundations Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This GCSE Maths Course has no academic prerequisites and is open to students from all academic disciplines. Career Path This GCSE Maths Course will provide you with a fresh opportunity to enter the relevant job market and successfully escalate to advanced vocational study. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Assessment Procedure Students must complete a variety of interactive online examinations at the conclusion of each module to evaluate the understanding and skills they are learning in this GCSE Maths Course. These assessments also determine if students can demonstrate these skills effectively. At the end of the module, you can also keep track of your progress and regularly check your score. Upon successfully completing this course, you can schedule your official exam by contacting us at [email protected]. About Official Exam There are three paper-based tests in the Pearson Edexcel GCSE Maths Foundation Tier. Assessment Format of Paper 1 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: No calculator is allowed Assessment Format of Paper 2 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total warks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed Assessment Format of Paper 3 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual. What is Pearson Edexcel? The academic and general qualification Pearson Edexcel is created to advance and improve learners' skills while advancing knowledge. With the aid of Edexcel certifications, students can advance either into a higher education programme or right into the workforce. They are based on the excellence and traditions of the British educational system and have been made current and simple for both UK and international students to access.  Benefits of Pearson Edexcel They lead the way in digital teaching, learning and assessments This qualification is recognised in the UK and across the world It is valued by employers all over the world Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market What is Ofqual? Qualifications, exams, and assessments are governed in England by Ofqual (The Office of Qualifications and Examinations Regulation). They are in charge of identifying the knowledge, skills, and understanding that students have displayed, and also ensuring that all the assessments and exams reveal what a student has accomplished. Benefits of Ofqual Regulation This regulation is valued internationally Created in accordance with specific national standards Designed in collaboration with industry to guarantee their suitability. Accurately reflect the knowledge, abilities, and understanding that the learners have shown. Candidates who have obtained a qualification that is governed by Ofqual are seen with greater confidence by employers. Course Curriculum Initial Assessment Initial Assessment 01:00:00 Algebra FT Algebra FT 01:00:00 Assessment - Algebra FT 02:14:00 Geometry FT Geometry FT 01:00:00 Assessment - Geometry FT 01:08:00 Number FT Number FT 02:00:00 Assessment - Number FT 02:24:00 Probability FT Probability FT 01:00:00 Assessment - Probability FT 00:50:00 Statistics FT Statistics FT 01:00:00 Assessment - Statistics FT 00:42:00 Feedback Feedback 00:00:00

Highlights of the Course Course Type: Self-Paced Online Learning Accreditation: Pearson Edexcel Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access: 1 Year Access Tutor Support: Paid Tutor Support Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this GCSE Maths Course, you will be able to: Gain advanced understanding, skills, and knowledge of mathematical concepts and techniques Know how to use advanced mathematical reasoning, inference and deduction, and conclusion-making Possess the capacity to comprehend, interpret, and communicate mathematical knowledge in a variety of context- and content-appropriate ways Know how to apply the skills you acquired from this course in a real-life context Learn how to apply complex mathematical techniques to address complicated and diverse set of problems GCSE Maths Online Course | Higher Tier This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual, making it a nationally recognised credential that will improve your CV and set you apart from the competition. With the knowledge and credentials you'll gain from this extensive course, you'll be able to demonstrate your overall understanding of complex mathematical theories like algebra, ratio, geometry, probability, statistics, etc. Towards the end of this course, you will acquire broad mathematical knowledge and skills necessary to pass the test and deal with any problems in your surroundings. Who is this Course for? The following individuals may benefit from this GCSE Maths Course: University applicants Students who require a grade within grades 4-9 Anyone who wants to get a higher grade Anyone interested to build a career in STEM Anyone planning to take maths in A-level Anyone trying to increase their chances of landing a job Anyone who desires to develop their mathematical foundations Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This GCSE Maths Course has no academic prerequisites and is open to students from all academic disciplines. Career Path This GCSE Maths Course will provide you with a fresh opportunity to enter the relevant job market and successfully escalate to advanced vocational study. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Assessment Procedure Students must complete a variety of interactive online examinations at the conclusion of each module to evaluate the understanding and skills they are learning in this GCSE Maths Course. These assessments also determine if students can demonstrate these skills effectively. At the end of the module, you can also keep track of your progress and regularly check your score. Upon successfully completing this course, you can schedule your official exam by contacting us at [email protected]. About Official Exam There are three paper-based tests in the Pearson Edexcel GCSE Maths Higher Tier. Assessment Format of Paper 1 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: No calculator is allowed Assessment Format of Paper 2 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total warks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed Assessment Format of Paper 3 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual. What is Pearson Edexcel? The academic and general qualification Pearson Edexcel is created to advance and improve learners' skills while advancing knowledge. With the aid of Edexcel certifications, students can advance either into a higher education programme or right into the workforce. They are based on the excellence and traditions of the British educational system and have been made current and simple for both UK and international students to access.  Benefits of Pearson Edexcel They lead the way in digital teaching, learning and assessments This qualification is recognised in the UK and across the world It is valued by employers all over the world Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market What is Ofqual? Qualifications, exams, and assessments are governed in England by Ofqual (The Office of Qualifications and Examinations Regulation). They are in charge of identifying the knowledge, skills, and understanding that students have displayed, and also ensuring that all the assessments and exams reveal what a student has accomplished. Benefits of Ofqual Regulation This regulation is valued internationally Created in accordance with specific national standards Designed in collaboration with industry to guarantee their suitability. Accurately reflect the knowledge, abilities, and understanding that the learners have shown. Candidates who have obtained a qualification that is governed by Ofqual are seen with greater confidence by employers. Course Curriculum Initial Assessment Initial Assessment 01:00:00 Algebra HT Algebra HT 02:00:00 Assessment - Algebra HT 02:58:00 Geometry HT Geometry HT 02:00:00 Assessment - Geometry HT 00:10:00 Number HT Number HT 02:00:00 Assessment - Number HT 00:10:00 Probability HT Probability HT 02:00:00 Assessment - Probability HT 01:00:00 Statistics HT Statistics HT 02:00:00 Assessment - Statistics HT 00:50:00 Feedback Feedback 00:00:00

Get a Free 1 QLS Endorsed Certificate Course with 10 Additional CPDQS Accredited Bundle Courses In A Single Payment. If you wish to gain a solid and compact knowledge of Statistics and boost your career, then take a step in the right direction with this industry-standard, comprehensive Statistical Analysis: Foundations and Applications of courses, which are well organised. This Statistical Analysis: Foundations and Applications package includes 1 Premium, The Quality Licence Scheme-endorsed course, 10 additional CPDQS Accredited Certificate courses, with expert assistance, and a FREE courses assessment included. Learn a range of in-demand technical skills to help you progress in your career with 12 months of unlimited access to this bundle of courses. If you enrol in this Statistics package, you will not be charged any extra fees. This Statistical Analysis: Foundations and Applications Package includes: Course 01: Statistics at QLS Level 4 10 Additional CPD Accredited Premium Courses - Course 01: Statistical Analysis Course 02: Functional Skills Maths Course 03: Introduction to Discrete Maths Course 04: Maths: Grade 9 (Algebra and Analytic Geometry) Course 05: Functional Skills English - Level 2 Course 06: Functional Skills IT Course 07: Super Learning Course 08: Academic and Personal Development Course 09: Excel Must know Formulas and Functions Course 10: Decision-Making in High-Stress Situations Success becomes a lot simpler with this Statistical Analysis: Foundations and Applications package, which allows you to monetise your skills. This Statistical Analysis: Foundations and Applications is appropriate for both part-time and full-time students, and it can be completed at your own pace. This premium Statistical Analysis: Foundations and Applications of courses helps your professional development by receiving an endorsement from the Quality Licence Scheme and CPDQS Accredited Certificate. You'll be able to practice in your own time and speed. The course materials for Statistics are designed by experts, and you can access them. easily from any of your smartphones, laptops, PCs, tablets, etc. Master the skills. You need to arm yourself with the necessary qualities and explore your career opportunities in relevant sectors. Why Prefer This Statistical Analysis: Foundations and Applications? You will receive a completely free certificate from the Quality Licence Scheme. Option to receive 10 additional certificates accredited by CPDQS Get a free student ID card! (£10 postal charges will be applicable for international delivery) Engaging voiceover and visual elements for your convenience. Complete the bundle at your own pace. Free assessments and immediate results. 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum: *** The Statistical Analysis: Foundations and Applications courses have the following curriculum: Module 01: Introduction Module 02: Measuring Central Tendency Module 03: Measures of Dispersion Module 04: Correlation and Regression Analysis Module 05: Probability Module 06: Sampling Module 07: Charts and Graphs Module 08: Hypothesis Testing Module 09: Ten Common Statistical Mistakes Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Statistics at QLS Level 4 exams. Show off Your New Skills with a Certificate of Completion After successfully completing the Statistics at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, completely free of charge. To Additional the Quality Licence Scheme Endorsed Certificate, you have to pay the price based on the level of these courses: Level 1 - £59 Level 2 - £79 Level 3 - £89 Level 4 - £99 Level 5 - £119 Level 6 - £129 Level 7 - £139 Certificate Accredited by CPDQS Upon finishing the bundle, you will need to order to receive a certificate accredited by CPDQS that is recognised all over the UK and also internationally. The pricing schemes are - Printed Hardcopy Certificate £29 inside the UK. £39 outside the UK (International Delivery). CPD 225 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required. Career path The bundle aims to help you get the job or even the long-awaited promotion of your dreams.