Statistics
Probability, inference, regression, and machine learning fundamentals. High-demand quantitative major.
Core courses
- • Calculus
- • Probability
- • Statistical Inference
- • Regression Analysis
- • Experimental Design
- • Bayesian Statistics
- • Statistical Computing
- • Senior Project
Career paths
- • Data Scientist
- • Biostatistician
- • Actuarial Science
- • Quantitative Analyst
- • Research
- • Pharmaceutical Industry
- • Government
- • Graduate School
What to expect
Bridging math and applications. Programming skills (R, Python) are essential — pure-math students without coding struggle in the job market.
How Fennie helps
Fennie covers [statistics](/subject/statistics), [probability](/subject/probability), [machine learning](/subject/machine-learning), and [econometrics](/subject/econometrics).
FAQ
Stats vs data science?
Stats more theoretical; data science more applied. Significant career overlap.
Best graduate path?
MS in stats opens biostat, pharma, government roles. PhD for academia and research.
Stats or math?
Stats more directly applicable to industry. Math more flexible into theoretical careers.
Get through your Statistics coursework with Fennie
Daily Plans adapted to your specific courses — upload syllabi and Fennie does the rest.
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