About This Course

The Statistics and Probability  course is designed for students, researchers, and professionals looking to gain a practical understanding of statistics and probability using two powerful tools—Microsoft Excel and SPSS. This course will cover both descriptive and inferential statistics, teaching you how to analyze and interpret data for real-world applications.

What You Will Learn:

• Fundamentals of Statistics & Probability – Learn core concepts of probability, random variables, distributions, and statistical measures.
• Descriptive Statistics – Understand mean, median, mode, standard deviation, and data visualization techniques.
• Inferential Statistics – Master hypothesis testing, confidence intervals, regression analysis, and ANOVA.
• Excel for Statistical Analysis – Learn how to perform data analysis, create statistical models, and automate calculations using Excel.
• SPSS for Data Analysis – Gain hands-on experience in using SPSS for descriptive statistics, hypothesis testing, and predictive analytics.
• Real-Life Applications – Apply statistical methods to business, healthcare, social sciences, and finance.

Who Should Enroll?

This course is ideal for:
✅ Students & Researchers looking to enhance their statistical skills for academic work
✅ Data Analysts & Business Professionals working with large datasets
✅ Social Scientists & Healthcare Professionals performing quantitative research
✅ Anyone who wants to learn practical statistics for decision-making

Course Features:

📌 Step-by-Step Tutorials in Excel & SPSS
📌 Hands-On Data Analysis & Case Studies
📌 Real-World Applications & Project Work
📌 Interactive Quizzes & Assignments
📌 Certificate of Completion

Course Structure:

Module 1: Introduction to Statistics & Probability
Module 2: Data Handling & Descriptive Statistics
Module 3: Inferential Statistics & Hypothesis Testing
Module 4: Regression Analysis & Predictive Modeling
Module 5: Excel for Statistical Analysis
Module 6: SPSS for Data Analysis

Module 7: Real-Life Case Studies & Project Work. Include your long course description here. The long course description should contain 150-400 words.