Regression

Module Description

Advance your data analysis skills with our comprehensive Regression module, a key part of the Statistics & Quantitative Analysis with SPSS course. This module focuses on regression analysis, a fundamental statistical technique for modelling relationships between variables and making predictions.

Key Topics Covered:

1. Introduction to Regression Analysis: Understand the basics of regression analysis, including its purpose and applications. Learn about the different types of regression, such as linear regression and multiple regression.
2. Conducting Regression in SPSS: Gain hands-on experience in performing regression analysis using SPSS. Learn to set up, execute, and interpret regression models within the software, ensuring your analyses are accurate and insightful.
3. Interpreting Regression Results: Develop the skills to interpret the outputs of regression analysis. Understand how to read coefficients, R-squared values, and significance levels to draw meaningful conclusions from your data.
4. Assumptions and Diagnostics: Learn about the key assumptions underlying regression analysis and how to test them. Perform diagnostic checks to ensure the validity and reliability of your regression models.
5. Predictive Modelling: Explore the use of regression for predictive modelling. Understand how to build and validate models that can predict outcomes based on input variables, enhancing your ability to make data-driven decisions.

By the end of this module, you will be adept at using regression analysis to explore relationships between variables and make accurate predictions. 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.