Statistics & Probability
Master statistical analysis and probability theory with our comprehensive 38-hour course. Essential for data science, research, and business analytics. Learn to make data-driven decisions with confidence.
What You'll Learn:
- Descriptive statistics and data visualization
- Probability theory fundamentals
- Probability distributions
- Sampling and estimation
- Hypothesis testing
- Regression and correlation analysis
- ANOVA and chi-square tests
- Practical applications in data analysis
Course Overview
In today's data-driven world, understanding statistics and probability is essential for making informed decisions. This comprehensive course provides you with the tools and knowledge to analyze data, understand uncertainty, and draw meaningful conclusions from information.
Through 38 hours of engaging content, you'll learn both the theoretical foundations and practical applications of statistics. The course covers everything from basic descriptive statistics to advanced inferential techniques, with a focus on real-world applications in business, science, and everyday decision-making.
You'll work with real datasets, learn to use statistical software, and develop the skills to critically evaluate statistical claims. The course includes interactive simulations, practical exercises, and case studies that demonstrate how statistics is used in various fields.
Course Curriculum
Module 1: Descriptive Statistics
- Data types and collection methods
- Measures of central tendency
- Measures of variability
- Data visualization techniques
Module 2: Probability Theory
- Basic probability concepts
- Conditional probability
- Bayes' theorem
- Probability distributions
Module 3: Inferential Statistics
- Sampling distributions
- Confidence intervals
- Hypothesis testing
- Type I and Type II errors
Module 4: Advanced Topics
- Regression analysis
- ANOVA
- Chi-square tests
- Non-parametric methods
Your Instructor
Dr. Emily Rodriguez is a statistical consultant and educator with extensive experience in both academia and industry. She holds a Ph.D. in Statistics and has worked with major corporations and research institutions to solve complex data problems.
Dr. Rodriguez's teaching approach emphasizes practical understanding and application. She believes that statistics should be accessible to everyone and has developed a reputation for making complex concepts understandable through real-world examples and interactive demonstrations.