Statistics and probability to use of data | Online Short Course
In modern workplaces, data is a powerful tool—but only if you know how to interpret and apply it effectively. The Statistics and Probability to Influence the Use of Data course is designed for individuals who want to build confidence in using data to support sound decision-making within the context of office administration. Whether you’re preparing reports, forecasting trends, or supporting strategic initiatives, this course gives you the foundational knowledge to use data with purpose and accuracy.
By understanding basic statistical concepts and probability, you’ll be able to draw meaningful insights, communicate findings clearly, and contribute to more informed decisions in any office or organizational setting.
What You’ll Learn
Through this course, you’ll gain practical experience in:
- Understanding key statistical terms and concepts such as mean, median, mode, and range.
- Using probability to assess risk and make predictions.
- Interpreting data sets, graphs, and charts commonly used in office reporting.
- Drawing valid conclusions and identifying trends from raw data.
- Applying statistical reasoning to support office administration tasks.
- Communicating data-driven insights clearly to managers and teams.
These skills enhance your ability to work with data responsibly and support effective office operations.
Who Should Enrol
This course is ideal for:
- Office administrators and support staff handling data and reporting.
- Team members who assist with planning, forecasting, or project tracking.
- Professionals aiming to improve decision-making through data interpretation.
- New employees seeking to develop confidence in basic statistical analysis.
- Anyone in an office administration role looking to better understand and utilize data.
If you’re ready to turn numbers into knowledge and make data work for you, this course is for you. Enrol today and take control of the numbers that shape your workplace.
Description
People credited with this Unit Standard are able to apply various techniques to organise and represent data in order to model situations for specific purposes. They can also give opinions on the implications of the modelled data for the required purpose.
In the context of online education, this includes collecting and analysing data from virtual learning platforms such as Learning Management Systems (LMS), video conferencing tools, digital assessments, and learner feedback forms. Learners credited with this Unit Standard are able to process and organise large sets of digital data, including login frequency, time spent on tasks, assessment results, and participation in online activities.
They apply appropriate techniques such as tabulation, graphing, trend analysis, and basic statistical methods to model educational scenarios. These models may include patterns in learner engagement, course progression rates, success indicators, and resource utilisation. Learners are also able to interpret these models in relation to online learning objectives and outcomes.
Course Content
Unit 1: Apply various techniques to organise and represent data in order to model situations
- Questions about sets of data that can be dealt with through statistical methods are identified correctly
- Existing tables are understood correctly through a proper application of row and column heading
- Raw data or statistics in the body of tables are used correctly
- Effective methods to record and organise data are used to solve problems
- Calculations of statistics are correct
- Appropriate statistics are used to answer questions
- Scales used in graphical representations and tables are consistent with the data, are correct, clear and appropriate to the situation and target audience
Unit 2: Give opinions on the implications of the modelled data for the required purpose
- Verbal (written or oral) explanation of findings is based on the representation of the data
- Trends, group profiles and attitudes are justified
- Appropriate information is extracted from representations in order to answer questions
Accreditation
- Non-accredited: Short course only
- Duration: 1h 55m
- Delivery: Classroom/Online/Blended
- Access Period: 12 Months
