Statistical Analysis develops essential skills to collect, interpret, and present data effectively. Learn probability, hypothesis testing, regression, and data visualisation techniques to support informed decisions across business, research, and professional environments.
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1 Year Access 
Intermediate 
15 Students 
6 hours, 46 minutes Get access to 5000+ courses including this for only £49. Learn More.
Develop essential skills in Statistical Analysis with this comprehensive course designed to explore statistical methods, data analysis, and statistical techniques for making informed decisions. Learn how to understand data patterns, apply probability theory, interpret results, and use statistical principles to solve real-world problems through quantitative approaches and analytical thinking.
This course covers key concepts including data interpretation, statistical modelling, data visualisation, and advanced analytical methods. You will explore data variability, probability distributions, estimates, intervals, and hypothesis testing while developing the ability to analyse information accurately. The modules provide a strong foundation for applying statistics in research, business, and professional environments.
Gain practical knowledge of regression analysis, predictive algorithms, Bayesian learning, and effective statistical practices. This course helps learners understand how to use data-driven insights, improve quantitative research skills, and avoid common statistical errors. By mastering modern statistical approaches, you can confidently apply analytical techniques to support evidence-based decisions and meaningful conclusions.
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.
After completing the Statistical Analysis 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.
Statistical Analysis introduces learners to the principles of collecting, interpreting, and analysing data to support informed decision-making. This course explores statistical methods, probability, data visualisation, regression analysis, hypothesis testing, and statistical modelling to develop essential analytical skills.
Studying Statistical Analysis enhances quantitative reasoning, data interpretation, and problem-solving abilities. The course provides valuable knowledge for applying statistical techniques in research, business, science, and technology while supporting further study and career development in data-driven fields.
The Statistical Analysis course has a total study time of 6 hours, 46 minutes. This comprehensive programme is designed for flexible learning, allowing learners to progress at their own pace while exploring statistical analysis concepts, including statistical methods, data analysis, probability theory, data interpretation, statistical modelling, quantitative research, data visualisation, regression analysis, hypothesis testing, and statistical techniques.
The Statistical Analysis course requirements are simple and suitable for beginners. Learners should have a basic understanding of mathematics, an interest in data analysis, research, and problem-solving, and a willingness to explore statistical methods and techniques. Access to an internet-enabled device and commitment to regular study are recommended for effective learning and successful course completion.
This course introduces the principles of statistical analysis, covering statistical methods, data analysis, probability theory, data interpretation, statistical modelling, quantitative research, data visualisation, regression analysis, hypothesis testing, and practical statistical techniques for informed decision-making.
No. It is suitable for beginners, students, researchers, professionals, and anyone interested in developing data analysis skills and understanding how statistics can be applied to real-world problems.
The course is delivered online, allowing you to learn at your own pace and develop essential statistical and data analysis skills conveniently.
Yes. Statistical exercises, data analysis tasks, research activities, practical examples, 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, research, business intelligence, finance, healthcare, marketing, academia, data science, and other fields requiring statistical knowledge and analytical skills.
| Module 01: The Realm of Statistics | |||
| The Realm Of Statistics | FREE | 00:28:00 | |
| Module 02: Basic Statistical Terms | |||
| Basic Statistical Terms | 00:43:00 | ||
| Module 03: The Center of the Data | |||
| The Center of the Data | 00:07:00 | ||
| Module 04: Data Variability | |||
| Data Variability | 00:15:00 | ||
| Module 05: Binomial and Normal Distributions | |||
| Binomial and Normal Distributions | 00:14:00 | ||
| Binomial Probabilities Table | 00:14:00 | ||
| Z-Table | 00:04:00 | ||
| Module 06: Introduction to Probability | |||
| Introduction to Probability | 00:37:00 | ||
| Module 07: Estimates and Intervals | |||
| Estimates and Intervals | 00:36:00 | ||
| Module 08: Hypothesis Testing | |||
| Hypothesis Testing | 00:33:00 | ||
| Module 09: Regression Analysis | |||
| Regression Analysis | 00:11:00 | ||
| Module 10: Algorithms, Analytics and Predictions | |||
| Algorithms, Analytics and Prediction | 00:49:00 | ||
| Module 11: Learning From Experience: The Bayesian Way | |||
| Learning From Experience: The Bayesian Way | 00:33:00 | ||
| Module 12: Doing Statistics: The Wrong Way | |||
| Doing Statistics: The Wrong Way | 00:39:00 | ||
| Module 13: How We Can Do Statistics Better | |||
| How We Can Do Statistics Better | 00:43:00 | ||
| Assignment | |||
| Assignment – Statistical Analysis | 00:00:00 | ||
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