17 Course Degrees in Statistics 2024
- Waterville, USA
On-Campus
English
We offer courses that, in the true spirit of the liberal arts, emphasize underlying ideas, their social and ethical context, and their explanatory power. The statistics major emphasizes a strong background in the fundamentals, while also providing pathways to explore how statistics is applied in a variety of fields. Statistics is a core component of many fields from medicine to economics to data science.
- Berkeley, USA
Full time, Part time
Distance Learning
English
Due to COVID-19, classroom courses during Fall 2021 will be offered in a live online format. We continue to offer self-paced online courses.
- Pittsburgh, USA
On-Campus
English
The Master of Arts and Master of Science degrees in Applied Statistics provide students with the necessary background to seek employment in statistics, data sciences or a related field. The degree programs provide training in applied statistics and consulting, as well as in the theory of statistics pertinent to applications. In addition, students are required to study an approved area outside of statistics at the graduate level. Possible areas include numerical analysis, biostatistics, education, economics, sociology, psychology, biology, business, bioinformatics, computer science, mathematical finance, and many others.
- 1801, USA
On-Campus
English
The Applied Statistics B.A. is designed for students to learn the skills necessary to work in fields such as Economics, Psychology & Biology. Applied Statistics is for students interested in pursuing other disciplines in the field of Statistics such as Economics, Psychology and Biology. The curriculum is focused for students pursuing a B.A. or a Minor in Applied Statistics through practical skills such as regression analysis and ANOVA, or gaining experience in statistical software such as SAS and SPSS.
- Christchurch, New Zealand
On-Campus
English
Introductory statistics is a branch of mathematics that focuses on the collection, analysis, interpretation, and presentation of data. It provides fundamental tools and techniques for summarizing data, making inferences, and testing hypotheses in various fields such as science, business, economics, social sciences, and engineering. Here are some key concepts and topics covered in introductory statistics
- 100, USA
On-Campus
English
The Applied Mathematics and Statistics (AMS) major is a professional B.S. program that prepares graduates for quantitative careers in business and industry with a toolkit of applicable mathematical techniques and problem-solving strategies primarily drawn from probability and statistics, operations research, and actuarial mathematics. Many AMS students choose to combine AMS with an additional major or minor. Students can plan programs of study according to their career plans and interests, in various areas of applied mathematics and statistics. In addition, some students may consider accelerated programs that combine B.S. with a Master's program.
- Online USA
Full time, Part time
14 months
Distance Learning
English
From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.
- Trollhättan, Sweden
On-Campus
English
Statistics is about collecting, summarizing and analyzing data for getting better understanding and insights about the world we are living in. Suppose that we want to study peoples’ attitudes toward organic groceries. Who should we ask? How could we choose a sample of individuals? Should we use interviews face-to-face, a questionnaire distributed online or maybe do observations on location in a store? Naturally, reliable and valid ways of sampling and phrasing questions are essential for the quality of the statistics produced.
Diploma in MySQL and Statistics for Data Analysis (Free Online Course)
Alison Free Online Learning
Featured
- Online
Full time, Part time
10 hours
Distance Learning
English
Improve your MySQL proficiency along with your data analytics and statistics skills with this free online course.
- Gambier, USA
On-Campus
English
Kenyon’s mathematics program blends theoretical ideas and methods, the modeling of real-world situations, and the statistical analysis of data. Members of the mathematics faculty are at the forefront of such innovative programs as mathematical biology and work closely with students on research projects.
Mastering Mathematical Finance Online Courses - Probability for Finance
Department of Mathematics University of York - Online Programs
Featured
- York, United Kingdom
Part time
4 months
Distance Learning
English
Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory.
- 411, USA
Distance Learning
English
Causal Inference with R is the first course in a series on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this introduction focuses on how to interpret treatment effects, and how to explore and derive key summary statistics from dataframes.
- West Lafayette, USA
On-Campus
English
Upon graduation, students receive an Actuarial Science degree as well as a Statistics degree. Most students also choose a Business Management minor. Becoming an actuary requires passing a series of professional exams set by the Society of Actuaries and the Casualty Actuarial Society. Students will be prepared for the first five exams and take the exams while still in college. Most students are recruited to careers as actuaries immediately after college working in banking, insurance, government agencies and financial services.
- Waterloo, Canada
Distance Learning
English
The main goal of this learning module is to discuss phase transitions and critical phenomena in statistical physics. We introduce the ideas of mean-field theory and renormalization group and exploit them to calculate the critical exponents for the Ising model. More advanced topics concern the models with continuous symmetry, topological phase transitions, as well as Monte Carlo simulations.
- London, United Kingdom
Full time, Part time
30 hours
Distance Learning
English
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