We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.
Why Take This Course?
The applications of statistics to everyday life
Methods for acquiring data through observation and experimentation
To organize and describe quantitative and categorical forms of data
Anticipating patterns using basic probability and sampling
Statistical inference through estimation and hypothesis testing
Correlation and simple regression
Ways of describing the strength of relationships between variables
Prerequisites and Requirements
It sounds strange to say, but math is not the focus of this class. To do well, however, it is necessary to have a basic understanding of proportions (fractions, decimals, and percentages), negative numbers, basic algebra (solving equations), and exponents and square roots.
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.
Panos Grcompleted this course, spending 4 hours a week on it and found the course difficulty to be medium.
This class is perfect for the Statics beginner. It gives a thorough and easy to understand explanation about the key concepts in Statistics with examples and reinforcing exercises.
I was struggling at separating the mean (μ) for the sample mean (x-bar) and didn't have the slightest idea of what "standard deviation" was until I took this class. I'm very grateful for it and although it doesn't cover fully the topics of an intro to Stats class, it explains core concepts perfectly!
This course starts out simple and steadily accelerates in difficulty. I realized towards the end that the beginning of the course helped me build a strong foundation in understanding and analyzing distributions, which are key to all the statistical tests you learn later (e.g., z-tests, t-tests, chi-squared tests).