Descriptive Statistics Part 1

Module Description

Dive deeper into the world of data analysis with our Descriptive Statistics Part 1 module, a key component of the Statistics & Quantitative Analysis with SPSS course. This module focuses on providing you with a thorough understanding of descriptive statistics, empowering you to summarise and interpret your data effectively.

Key Topics Covered:

1. Exploring Categorical Variables: Learn how to analyse and interpret categorical variables. Gain insights into summarising data using frequency distributions, percentages, and cross-tabulations to identify patterns and relationships.
2. Exploring Continuous Variables: Master the techniques for examining continuous variables. Understand how to measure central tendency (mean, median, mode) and dispersion (range, variance, standard deviation) to describe your data accurately.
3. Visuals and Graphical Descriptions: Enhance your data presentation skills by learning to create compelling visuals. Explore various graphical representations such as bar charts, histograms, and box plots to effectively communicate your findings.
4. Normal Distribution: Delve into the concept of the normal distribution, a fundamental principle in statistics. Learn how to recognise normally distributed data and apply this knowledge to make informed decisions based on your analyses.

By the end of this module, you will have a solid foundation in descriptive statistics, enabling you to summarise and present your data with clarity and precision. Whether you are a student, researcher, or professional, these skills are essential for any quantitative analysis work.

Entry Requirements

• O’Level in Mathematics.
• Professional English.

Target Audience

The Statistics & Quantitative Analysis with SPSS course is meticulously designed to cater to a diverse range of learners, ensuring that everyone from beginners to seasoned professionals can benefit from its comprehensive curriculum. This course is ideal for:

1. Students and Academics:

• Undergraduate and graduate students looking to strengthen their statistical analysis skills.
• Researchers and academics who need a robust understanding of SPSS for their data-driven projects and publications.

2. Business and Data Analysts:

• Professionals working in business intelligence, data analytics, and market research who seek to enhance their quantitative analysis capabilities.
• Analysts who require advanced skills in SPSS to interpret complex data and support strategic decision-making.

3. Healthcare and Social Science Professionals:

• Healthcare researchers, epidemiologists, and public health professionals who need to analyze statistical data accurately.
• Social scientists and psychologists looking to apply quantitative methods to their research and practice.

4. Government and Non-Profit Sector Workers:

• Employees in government agencies and non-profit organizations who rely on statistical data to inform policy decisions and program evaluations.
• Public administrators and policy analysts who need to interpret data and present findings effectively.

5. Anyone Interested in Data Science and Statistics:

• Individuals with a keen interest in data science, statistics, and quantitative research who want to develop a solid foundation in SPSS.
• Lifelong learners aiming to acquire new skills to advance their careers or transition into data-focused roles.

Career Paths

• This course offers valuable insights and practical knowledge to help you succeed in Statistics & Quantitative Analysis with SPSS and become proficient in one of the most widely-used statistical software packages in the industry.

How you’ll be assessed

• This course does not include any formal assessments or evaluations.