Statistics and Probability
$139.99
Develop expertise in statistical analysis and probability theory essential for data science, research, business analytics, and evidence-based decision making. This course provides both theoretical foundations and practical applications of statistical methods.
What You'll Learn:
- Descriptive Statistics: Measures of central tendency and variability
- Probability Theory: Fundamental concepts and rules
- Probability Distributions: Normal, binomial, Poisson, and more
- Sampling Methods: Techniques and bias reduction
- Hypothesis Testing: t-tests, ANOVA, chi-square tests
- Confidence Intervals and Statistical Significance
- Regression Analysis: Linear and multiple regression
- Bayesian Statistics: Modern probabilistic approaches
Course Features:
- 70+ hours of detailed video instruction
- 180+ practice problems with real datasets
- R and Python code examples for all concepts
- Case studies from various industries
- Interactive statistical calculators
- Statistical software tutorials
- Comprehensive formula reference guide
- Certificate of completion
Who This Course Is For:
- Data science and analytics professionals
- Business analysts and researchers
- Psychology and social science students
- Anyone working with data and making decisions
- Students preparing for statistics exams