Mastering Probability and Statistics
Source: https://learningforlife.tudelft.nl/mastering-probability-and-statistics/ Parent: https://learningforlife.tudelft.nl/our-courses/core-stem-skills/
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- Use discrete and continuous random variables and understand how they interact.
- Deal with conditional probabilities and conditional distributions.
- Obtain understanding into some limiting results, in particular the Central Limit Theorem.
- Make and interpret numerical and graphical summaries of datasets and find the connection to concepts from probability theory.
- Several techniques to find estimators and assess their quality.
- Perform inferential statistics: hypothesis testing, confidence intervals and linear regression, also in non-standard situations.
Free
- Type Programme
- Location Online
- Pacing Starts anytime / Self-paced
- Length
For instructor paced courses this is the length of the course.
For self-paced courses this is the length of the course if you spend the amount of time per week as specified. You're free to go faster or slower as you see fit.
12 Weeks - Effort 4 - 6 Hours per week
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Programme
Develop your expertise with multiple courses at a discounted price.
- Overview
Refresh and review the probability and statistics you need to succeed in your engineering postgraduate degree or your profession.
Whether you want to make a strong start to a master’s degree, solidify your knowledge in a professional context or simply brush up on fundamentals in probability and statistics, this program will get you up to speed.
Statistics is used quite intensively in many engineering contexts and master’s programs. As soon as you are dealing with real-life data, you will need to get an idea of what these data tell you and how you can visualize this (descriptive statistics). You will also want to perform some analysis (inferential statistics), build a model that mimics reality, estimate some quantities, or test some hypotheses. Along the way you will learn how to apply these concepts to datasets, using the statistical software R.
This program also provides an introduction to probability theory. You will encounter discrete and continuous random variables and learn in which situations they appear, what their properties are and how they interact. Probability theory can be applied to learn more about real-life problems, and it is useful for building models. Moreover, it provides the basis for statistics and applications in data analysis. Therefore, it is a useful subject for any aspiring engineer.
These courses are self-paced, self-contained and modular, to make it easier to review specific topics and practice as often as you want without having to follow the entire courses.
This program is ideal for:
- Prospective engineering students who want to meet the prerequisites for a MSc program, be better prepared or refresh their mathematics knowledge before starting a master’s degree.
- Engineering or bachelor students who realize that they have a gap in their math knowledge or would like an additional challenge in mathematics not offered by their studies.
- Working professionals who would like to improve their math knowledge.
- Anyone interested in university level mathematics.
- This program will refresh your knowledge and review the relevant topics. As review courses, you are expected to have previously studied or be familiar with most of the material.
This program is part of our series ‘Mastering Mathematics for Engineers’, together with ‘Mastering Calculus’ and ‘Mastering Linear Algebra’. - Job outlook
- Probability theory can be applied to learn more about real-life problems, and it is a useful subject for any aspiring or practicing engineer. Likewise, in many engineering master’s programs or professions, statistics is used quite intensively
- A strong foundation in mathematics is critical for any aspiring or practicing engineer
- Knowledge of probability and statistics is needed to succeed in an engineering master’s or profession in areas such as modeling, finance, signal processing, logistics, machine learning, data science and more
- Qualifications
##### Chartered Engineering Competences
All our online courses and programs have been matched to the competences determined by KIVI’s Competence Structure, a common frame of reference for everyone, across all disciplines, levels and roles.
These competences apply to this course:
- A1: Extend your theoretical knowledge of new and advancing technologies.
4 - 6 Hours per week
Free
4 - 6 Hours per week
Free