Statistical Analysis with SPSS, R & Python Course by Sreedevi PN

This Statistical Analysis course is a comprehensive online program designed to help students and professionals gain practical skills in analyzing data using SPSS, R, and Python. The course provides a hands-on approach to statistical methods, data interpretation, and software-based analytics, making it ideal for BBA, MBA, and other business or data-focused learners.

In today’s data-driven world, statistical analysis is a critical skill for informed decision-making in business, research, and academics. This course equips learners with the knowledge to perform descriptive and inferential statistics, interpret results accurately, and apply these skills using three powerful tools: SPSS, R programming, and Python.

By combining theory with software practice, students will develop the confidence to analyze datasets, visualize trends, and generate meaningful insights for academic projects or professional applications.

What Students Will Learn

• Fundamentals of statistical analysis: descriptive and inferential statistics
• Data analysis techniques for business and academic datasets
• Using SPSS for data entry, descriptive statistics, hypothesis testing, and reporting
• Using R programming for statistical calculations, data visualization, and model building
• Using Python with libraries such as NumPy, Pandas, and Matplotlib for data analysis
• Performing correlation, regression, and probability analysis
• Hypothesis testing and interpretation of results
• Generating charts, graphs, and visual reports for presentations
• Applying statistical methods to real-world business and academic problems

Teaching Method

This course is conducted entirely online with live interactive sessions, combining theory and software-based practice. The teaching methodology includes:

• Step-by-step software demonstrations in SPSS, R, and Python
• Hands-on exercises with sample datasets
• Guided projects to apply statistical methods in real scenarios
• Q&A sessions and personalized feedback
• Focus on practical applications for business, research, and academic projects

Students will gain both conceptual understanding and software proficiency, enabling them to conduct statistical analysis independently.

Why This Course

The course emphasizes multi-tool statistical proficiency, ensuring learners are comfortable using SPSS, R, and Python for analysis. The combination of theory, software practice, and real-world examples helps students develop practical skills that are highly relevant in business, research, and academic fields.

Benefits and Outcomes

By completing this course, students will:

• Master statistical analysis techniques across SPSS, R, and Python
• Analyze and visualize data for academic or professional use
• Apply statistical reasoning to solve business and research problems
• Prepare for BBA, MBA, or other data-intensive courses and projects
• Gain confidence in reporting and presenting statistical insights
• Build a foundation for advanced analytics, data science, or research work

This course provides a practical and comprehensive approach to statistical analysis for students, professionals, and researchers seeking hands-on experience with leading tools.