# Online courses directory (88)

In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge. You will learn about how statistics and probability work together. The subject of statistics involves the study of methods for collecting, summarizing, and interpreting data. Statistics formalizes the process of making decisions, and this course is designed to help you use statistical literacy to make better decisions. Note that this course has applications for the natural sciences, economics, computer science, finance, psychology, sociology, criminology, and many other fields. We read data in articles and reports every day. After finishing this course, you should be comfortable evaluating an author's use of data. You will be able to extract information from articles and display that information effectively. You will also be able to understand the basics of how to draw statistical conclusions. This course will begin with descriptive statistic…

The advent of computers transformed science. Large, complicated datasets that once took researchers years to manually analyze could suddenly be analyzed within a week using computer software. Nowadays, scientists can use computers to produce several hypotheses as to how a particular phenomenon works, create computer models using the parameters of each hypothesis, input data, and see which hypothetical model produces an output that most closely mirrors reality. Computational biology refers to the use of computers to automate data analysis or model hypotheses in the field of biology. With computational biology, researchers apply mathematics to biological phenomena, use computer programming and algorithms to artificially create or model the phenomena, and draw from statistics in order to interpret the findings. In this course, you will learn the basic principles and procedures of computational biology. You will also learn various ways in which you can apply computational biology to molecular and cell…

This course will introduce you to business statistics, or the application of statistics in the workplace. Statistics is a course in the methods for gathering, analyzing, and interpreting data. If you have taken a statistics course in the past, you may find some of the topics in this course familiar. You can apply statistics to any number of fields from anthropology to hedge fund management because many of us best interpret data when it is presented in an organized fashion (as it is with statistics). You can analyze data in any number of forms. Summary statistics, for example, provide an overview of a data set, such as the average score on an exam. However, the average does not always tell the entire story; for example, if the average score is 80, it may be because half of the students received 100s and the other half received 60s. This would present a much different story than if everyone in the class had received an 80, which demonstrates consistency. Statistics provides more than simple averages. In t…

This course will introduce you to entrepreneurship and business planning. By way of introduction, the word entrepreneur originates from the French word entreprendre, meaning to undertake. Today, we define an entrepreneur as an owner or manager of a business enterprise who attempts to make profits by starting and growing his or her business. In earnest, entrepreneurs are a diverse group of risk-takers who share the same goal of cultivating ideas and developing them into viable business opportunities. Take a quick look at the statistics below to get a sense for some of the (potentially surprising) qualities that have been attributed to entrepreneurs. According to a recent report by the US Census, every day approximately 2,356 Americans are becoming entrepreneurs by starting new businesses. According to 2006 report from Northeastern University’s School of Technological Entrepreneurship, 62% of entrepreneurs in the US claim innate drive as the number one motivator in starting their business. According t…

California Standards Test: Algebra II. California Standards Test: Algebra II (Graphing Inequalities). CA Standards: Algebra II (Algebraic Division/Multiplication). CA Standards: Algebra II. Algebra II: Simplifying Polynomials. Algebra II: Imaginary and Complex Numbers. Algebra II: Complex numbers and conjugates. Algebra II: Quadratics and Shifts. Examples: Graphing and interpreting quadratics. Hyperbola and parabola examples. Algebra II: Circles and Logarithms. Algebra II: Logarithms Exponential Growth. Algebra II: Logarithms and more. Algebra II: Functions, Combinatorics. Algebra II: binomial Expansion and Combinatorics. Algebra II: Binomial Expansions, Geometric Series Sum. Algebra II: Functions and Probability. Algebra II: Probability and Statistics. Algebra II: Mean and Standard Deviation.

This course provides an introduction to causal and statistical reasoning. After taking this course, students will be better prepared to make rational decisions about their own lives and about matters of social policy. They will be able to assess criticallyeven if informallyclaims that they encounter during discussions or when considering a news article or report. A variety of materials are presented, including Case Studies where students are given the opportunity to examine a causal claim, and the Causality Lab, a virtual environment to simulate the science of causal discovery. Students have frequent opportunities to check their understanding and practice their skills. This course is meant to serve students in several situations. One, it is meant for students who will only take one such research methods course, and are interested in gaining basic skills that will help them to think critically about claims they come across in their daily lives, such as through a news article. Two, it is meant for students who will take a few statistics courses in service of a related field of study. Three, it is meant for students interested in the foundations of quantitative causal models: called Bayes Networks.

Build your earth science vocabulary and learn about cycles of matter and types of sedimentary rocks through the Education Portal course Earth Science 101: Earth Science. Our series of video lessons and accompanying self-assessment quizzes can help you boost your scientific knowledge ahead of the Excelsior Earth Science exam . This course was designed by experienced educators and examines both science basics, like experimental design and systems of measurement, and more advanced topics, such as analysis of rock deformation and theories of continental drift.

In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge. You will learn about how statistics and probability work together. The subject of statistics involves the study of methods for collecting, summarizing, and interpreting data. Statistics formalizes the process of making decisions, and this course is designed to help you use statistical literacy to make better decisions. Note that this course has applications for the natural sciences, economics, computer science, finance, psychology, sociology, criminology, and many other fields. We read data in articles and reports every day. After finishing this course, you should be comfortable evaluating an author's use of data. You will be able to extract information from articles and display that information effectively. You will also be able to understand the basics of how to draw statistical conclusions. This course will begin with descriptive statistic…

ALISON.com's free online Diploma in Mathematics course gives you comprehensive knowledge and understanding of key subjects in mathematics. This course covers calculus, geometry, algebra, trigonometry, functions, vectors, data distributions, probability and probability and statistics. Math qualifications are in great demand from employers and this math course will greatly enhance your career prospects.<br />

The free online course Diploma in Modern Project Management Theory and Practice is designed for anyone who wants to learn about contemporary project management. With organisations looking to deliver projects faster and cheaper project management has evolved continuously since the 1980’s to help address these needs. Using the Project Management Institute's Book of Knowledge, along with other core theory, this course describes in detail the modern theory and best practices of project management. The course begins by introducing you to essential topics such as profiling projects, the phases and organizational structures within a project, and the tasks performed in a project. You will then learn how the role of project managers needs to shift emphasis; project managers need to move from managing the tasks to taking a leadership role. As projects become more complex project managers need to get a good understanding of what the clients' expectations are. They also need to know how decisions are reached, how information is communicated, and how and why changes are made to the project plans. The essential element of project management is about getting projects completed on time and within budget. In this course you will learn how a project, with its associated goals and processes, must be definitively established by a project manager. You will also learn how a project schedule covering both the team members and equipment needs to be drawn up, reviewed and approved. The course then describes why rigorous implementation of quality control is a very important aspect of project management, and why the project manager and the project team must be risk aware during each phase of the project. You will also learn about how the project manager has to oversee the procurement process by ensuring that the relevant contracts with suppliers are in place and that each supplier meets all the necessary requirements. The final part of the course explains how a project manager oversees the successful closure of a project, from gathering all the key statistics and summarising them, to closing out the supplier contracts, and archiving all the key documents. This free Diploma course will be of great interest to all professionals working in the area of project management or those who have become involved in a work project or learners who just want to be able to manage personal projects more effectively.<br />

Statistics and statistical methods play a major role in the work environment in areas such as business, science, finance, economics, engineering to mention just a few. It is very important that people are comfortable with reading statistics and using statistical methods. This free online Diploma in Statistics will give you the knowledge and understanding of basic statistical methods such as sampling and collecting data, probability, distributions, regression analysis. By completing this course you will gain the knowledge and understanding to confidently read statistics and apply statistical methods within your daily working environment.

In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge. You will learn about how statistics and probability work together. The subject of statistics involves the study of methods for collecting, summarizing, and interpreting data. Statistics formalizes the process of making decisions, and this course is designed to help you use statistical literacy to make better decisions. Note that this course has applications for the natural sciences, economics, computer science, finance, psychology, sociology, criminology, and many other fields. We read data in articles and reports every day. After finishing this course, you should be comfortable evaluating an author's use of data. You will be able to extract information from articles and display that information effectively. You will also be able to understand the basics of how to draw statistical conclusions. This course will begin with descriptive statistic…

Math for Economists will help you assemble a toolkit of skills and techniques to solve fundamental problems in both macroeconomics and microeconomics. The material covers both precalculus and calculus concepts and should help you identify the best approach to solving problems. For example, an economist may be called upon to determine the right mix allocation of capital to a production process. The tools in this course will help you evaluate the options and select from the best alternatives. Advanced courses in economics typically utilize mathematical techniques beyond basic calculus; so, gaining practice in fundamental skills can serve as a good basis for further study. Of note, this course applies precalculus and calculus; this is different from “applied math,” which economists typically use to refer to probability and statistics. This course begins with a survey of basic optimization tools and then applies them to solve problems over several periods in time. These optimization tools descri…

In this course you will learn how to conduct research using empirical methods, which rely on observation and experimentation. This course is appropriate for those interested in using empirical research methods in their field, particularly students in the social and behavioral sciences. Topics include the formulation of the question to be investigated and the of resulting hypotheses, the collection of data and the analysis of the data collected, and the interpretation and study of analysis results. We assume that learners entering Empirical Research Methods (ERM) have taken at least a semester or year-long course in statistics and, through this or some other experience, have been exposed to the following concepts: Random Variables Population and Samples Data Tables (rows=sample units and columns=variables) Summary Statistics: Mean, Median, Variance, Covariance, Correlation Graphs: Boxplots, Barcharts, Histograms, Scatterplots Inference: standard errors, confidence intervals, hypothesis tests, etc. Models: Bivariate Regression, perhaps ANOVA If learners have not had such exposure, they can follow the appropriate links into the OLI introductory statistics course to review the required concepts.