Statistics

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Statistics is the discipline of collecting, analysing, interpreting, and presenting data to support informed decision-making, identify patterns, measure uncertainty, and draw meaningful conclusions across business, science, government, and everyday life.

Statistics
qls cpdacree ukrlp 24hs fullonline 14days

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Overview of Statistics

Master the Statistics course and build a strong foundation in statistics fundamentals, data analysis, and probability theory. Explore essential concepts including descriptive statistics, measures of central tendency, and measures of dispersion to understand how data is collected, organised, and interpreted for informed decision-making across academic, professional, and research settings.

Develop practical knowledge of statistical methods through modules covering regression analysis, correlation, sampling techniques, and probability. Learn how to apply inferential statistics to draw reliable conclusions from data, evaluate relationships between variables, and make evidence-based predictions using proven statistical approaches.

Strengthen your analytical skills by creating effective data visualization with charts and graphs, performing hypothesis testing, and recognising common statistical mistakes. This Statistics course equips learners with the confidence to analyse datasets accurately, communicate findings clearly, and apply statistical knowledge across business, science, healthcare, education, finance, and many other industries.

The course was audited and updated on: 24th July, 2026

Learning Outcomes of Statistics

Method Of Assessment​

Learners complete an assignment designed to evaluate their understanding of the course content. The assignment is reviewed by qualified tutors who provide personalised feedback, allowing learners to demonstrate their applied knowledge and skills.

Certification

one education Certificate

After completing the Statistics course assessment, you will be eligible to receive a CPD-accredited certificate worth £9 from One Education to demonstrate your achievement.

The certificate is also available as a printed hard copy delivered by post for £15.

EXAMPLE - QLS Certificate 2020 1

Quality Licence Scheme Endorsed Certificate

Learners also have the option to order a Quality Licence Scheme (QLS) Endorsed Certificate as additional proof of achievement. The QLS Endorsed Certificate can be delivered by post for £89, with an additional £10 postage charge for international students.

Endorsement

This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.

Why Study This Statistics Course?

Statistics equips learners with the knowledge to collect, organise, analyse, and interpret data for informed decision-making. This course introduces essential statistical concepts, including probability, data analysis, and the methods used to identify trends and draw reliable conclusions.

Studying Statistics strengthens analytical thinking, problem-solving, and quantitative reasoning skills that are valuable across many academic and professional fields. The course provides a solid foundation for working with data, supporting further study and careers in business, science, research, finance, and technology.

Course Duration

The Statistics course has a total study time of 2 weeks, 1 day. This comprehensive programme is designed for flexible learning, allowing learners to progress at their own pace while developing a strong understanding of statistical concepts, including data analysis, probability, descriptive and inferential statistics, hypothesis testing, and the interpretation of quantitative data.

Requirements

The Statistics course requirements are simple and suitable for beginners. Learners should have basic mathematical knowledge, an interest in data analysis and problem-solving, and a willingness to understand statistical concepts. Access to an internet-enabled device and regular practice are recommended for effective learning and successful application of statistical methods.

Career Path

Frequently Asked Questions

This course introduces the fundamentals of statistics, including data collection, descriptive and inferential statistics, probability, data visualisation, hypothesis testing, sampling techniques, regression analysis, and interpreting statistical results.

No. It is suitable for beginners, students, and professionals who want to develop practical statistical knowledge. A basic understanding of mathematics is helpful but not essential.

The course is delivered online, allowing you to learn at your own pace.

Yes. Data analysis exercises, statistical problem-solving activities, practical assignments, and quizzes may be included to reinforce learning.

You will receive a certificate of completion after successfully finishing the course.

This course supports career development in data analysis, business intelligence, market research, finance, healthcare, academic research, quality assurance, government, and other fields that rely on statistical analysis and data-driven decision-making.

Course Curriculum

Module 01: Introduction to Statistics
Introduction to Statistics FREE 00:18:00
Module 02: Measuring Central Tendency
Measuring Central Tendency 00:18:00
Module 03: Measures of Dispersion
Measures of Dispersion 00:11:00
Module 04: Correlation and Regression Analysis
Correlation and Regression Analysis 00:35:00
Module 05: Probability
Probability 00:16:00
Module 06: Sampling
Sampling 00:19:00
Module 07: Charts and Graphs
Charts and Graphs 00:21:00
Module 08: Hypothesis Testing
Hypothesis Testing 00:25:00
Module 09: Ten Common Statistical Mistakes
Ten Common Statistical Mistakes 00:30:00
Assignment
Assignment – Statistics 2 weeks, 1 day
Order Your Certificate
Order Your Certificate QLS 00:00:00
Statistics
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