Statistical Analysis
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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.
Statistical Analysis
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1 Year Access 
Intermediate
15 Students -
6 hours, 46 minutes
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Learning Outcome
- Define the statistic and be familiar with the statistical methodologies
- Categorise the Data
- Make a comparison of the Mean and Median
- Learn how to use the Binomial Table to calculate probabilities
- Acquaint yourself with the Addition and Multiplication Rules
- Understand how the alternative hypothesis calculates the P-Value
- Learn about the Algorithms’ difficulties
- List the ten questions to ask when confronted with a statistically supported assertion
- Improve your ability to perform statistics
Description
Do you want to see the world of statistics better? Learn to question numbers and think like a statistician? Learn to make better judgments at work and in life? Then don’t waste further time and enrol in Statistical Analysis Course. This is not a typical statistics course. Because there will be minimal math, you will be required to solve mathematical problem sets, which will eventually add to your development in practical knowledge. The course will emphasise statistics to make better decisions and judgements. We will look at basic statistical ideas and concepts.
Statistical Analysis is the process of summarising data using numbers and graphs. It simplifies the vast amounts of data for interpretation without drawing conclusions or reacting to any hypotheses. An introduction to descriptive statistical analysis will help learners to express and analyse data more effectively using numerical calculations, graphs, or tables.
That’s why we’ve created this Statistical Analysis course with thirteen modules that cover everything from basic statistics to applying statistical analysis in business, research and more. The basic introduction will teach you more about statistics and how it may be used in many circumstances. Learn more about data management, artificial intelligence and the foundation of probability. Finally, if you are willing to do statistics better, this course is perfect for you.
Course Benefits
- Instant access to information about Statistical Analysis
- Full participation in Statistical Analysis practices
- Quick assessment and guidance for all assignments
- CPD accreditation for proof of acquired skills and knowledge
- Freedom to study in any location and at a pace that suits you
- Expert support from dedicated tutors committed to online learning
Your Path to Success
After completing the Statistical Analysis course, you will be able to apply Statistics foundations in any professional path that requires data management, research, or predictive business analysis. Statistical Analysis can be a common course choice for students looking to improve their skills before a career.
Is This Course Right for You?
This structured Statistical Analysis course introduces you to concepts such as the realm of statistics, basic statistical terms, binomial and normal distributions, hypothesis testing, and how to do better in statistics. This course will teach you data management, statistics, and other skills that you may not have used since college. This course is ideal for people who are changing jobs or returning to the workforce after a break from data management.
Assessment Process
Assessment relating to the Statistical Analysis Course will be given to all students and must be completed to pass the course successfully.
Course Curriculum
| 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 | ||
