Filters
Filters
- Preparatory
- Summer Course
- Economics Programs
- Statistics
Sort by
7 Statistics Summer Course Programs


Promoted
Stanford Summer Session
Summer Course: Introduction to Probability and Statistics for Engineers
- Stanford, USA
Summer Course
Full time
8 weeks
On-Campus
English
Random variables, independence, and conditional probability; discrete and continuous distributions, moments, and distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. Prerequisite: CME 100/ENGR154 or MATH 51 or 52.


Boston University Summer programs
Fast-track counseling
Elementary Statistics Summer Course
- Boston, USA
Summer Course
Full time
6 weeks
On-Campus
English
Fast-track counseling
Basic concepts of estimation and tests of hypotheses, ideas from probability; one-, two-, and multiple-sample problems. Applications are in the social sciences, and students will be able to understand the basics of using a sample to predict uncertainty.


Boston University Summer programs
Fast-track counseling
Statistics I Summer Course
- Boston, USA
Summer Course
Full time
6 weeks
On-Campus
English
Fast-track counseling
Numerical and graphical summaries of univariate and bivariate data. Basic probability, random variables, binomial distribution, normal distribution. One-sample statistical inference for normal means and binomial probabilities. Primarily for students in the social sciences with limited mathematics preparation.
Best programs for you
Answer a few questions and we'll match you with programs!


Boston University Summer programs
Fast-track counseling
Probabilistic and Statistical Decision-Making for Management Summer Course
- Boston, USA
Summer Course
Full time
6 weeks
On-Campus
English
Fast-track counseling
Exposes students to the fundamentals of probability, decision analysis, and statistics, and their application to business. Topics include probability, decision analysis, distributions, sampling, estimation, hypothesis testing, and chi-square. Effective Fall 2018, this course fulfills a single unit in the following BU Hub area: Quantitative Reasoning I.


Stanford Summer Session
Summer Course: Introduction to Probability Theory
- Stanford, USA
Summer Course
Full time
8 weeks
On-Campus
English
Introduction to probability theory, including probability axioms, conditional probability, independence, random variables, and expectation. Joint, marginal, and conditional distributions. Discrete models (binomial, hypergeometric, Poisson) and continuous models (normal, exponential).


Boston University Summer programs
Fast-track counseling
Project Risk and Cost Management Summer Course
- Boston, USA
Summer Course
Full time
6 weeks
On-Campus
English
Fast-track counseling
Introduces students to macro and micro approaches to project cost estimation. Case studies of both pre-project and in-process estimating cover some of the more common perils of human irrationality associated with project estimation to help develop more sensible, achievable project outcomes.


Boston University Summer programs
Fast-track counseling
Modeling Business Decisions and Market Outcomes with Spreadsheets and Statistical Programming Summer Course
- Boston, USA
Summer Course
Full time
6 weeks
On-Campus
English
Fast-track counseling
Examines the use of economic and statistical tools for making business decisions at an advanced level and prepares students for future study in business analytics. Introduces programming for data analysis (no previous programming knowledge required) and links data analysis to decision-making using both spreadsheet modeling and statistical programming.
Popular Economics Programs Statistics degree types
Popular study format
Popular locations
Learn more about Statistics Summer Course programs
Studying Statistics through Summer Courses invites you to uncover patterns and insights hidden within data. This discipline is particularly exciting as it empowers learners to turn abstract numbers into actionable information.
Through courses that focus on statistical analysis, data visualization, and probability theory, students gain the competencies needed to interpret complex datasets. The environment fosters independence as you explore diverse analytical methods and their real-world applications. A comprehensive understanding of statistical software and data modeling techniques will enhance your ability to convey meaningful findings.
Taking on a Statistics program, even in a condensed timeframe, allows students to build confidence in their analytical abilities. The curriculum prepares you for various sectors, including finance, healthcare, and social sciences. Graduates typically pursue roles such as data analyst, statistician, or research consultant, where they apply their skills to solve practical problems and guide decision-making.