Intermediate
Statistics for Data Science
Learn statistical concepts essential for data analysis. Master probability, distributions, hypothesis testing, and statistical inference.
Sundays, 10:00 AM - 11:30 AM PST
9 weeks
9 weeks of content
16 students already signed up• 8 spots remaining
67% of spots filled
Course Curriculum
Week 1: Descriptive Statistics
Mean, median, mode, variance, standard deviation, and data visualization
Week 2: Probability Fundamentals
Sample spaces, events, conditional probability, and Bayes' theorem
Week 3: Random Variables
Discrete and continuous random variables, expected value, and variance
Week 4: Probability Distributions
Normal, binomial, Poisson, and exponential distributions
Week 5: Sampling and Estimation
Sampling methods, point estimates, and confidence intervals
Week 6: Hypothesis Testing
Null and alternative hypotheses, p-values, and significance levels
Week 7: Statistical Tests
t-tests, chi-square tests, ANOVA, and non-parametric tests
Week 8: Regression Analysis
Simple and multiple linear regression, correlation, and R-squared
Week 9: Final Project
Complete statistical analysis project with real-world data
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