Introduction to Statistics: Descriptive Statistics

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9/10 stars
based on  3 reviews
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Cost FREE
Start Date TBA
Introduction to Statistics: Descriptive Statistics

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22376 reviews

Course Description

We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

The course is the online equivalent of Statistics 2, a 15-week introductory course taken in Berkeley by about 1,000 students each year. Stat2x is divided into three 5-week components. Stat2.1x is the first of the three.

The focus of Stat2.1x is on descriptive statistics. The goal of descriptive statistics is to summarize and present numerical information in a manner that is illuminating and useful. The course will cover graphical as well as numerical summaries of data, starting with a single variable and progressing to the relation between two variables. Methods will be illustrated with data from a variety of areas in the sciences and humanities.

There will be no mindless memorization of formu...

We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

The course is the online equivalent of Statistics 2, a 15-week introductory course taken in Berkeley by about 1,000 students each year. Stat2x is divided into three 5-week components. Stat2.1x is the first of the three.

The focus of Stat2.1x is on descriptive statistics. The goal of descriptive statistics is to summarize and present numerical information in a manner that is illuminating and useful. The course will cover graphical as well as numerical summaries of data, starting with a single variable and progressing to the relation between two variables. Methods will be illustrated with data from a variety of areas in the sciences and humanities.

There will be no mindless memorization of formulas and methods. Throughout Stat2.1x, the emphasis will be on understanding the reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.

FAQ

  • What is the format of the class?
    • Instruction will be consist of brief lectures and exercises to check comprehension. Grades (Pass or Not Pass) will be decided based on a combination of scores on short assignments, quizzes, and a final exam.
  • How much does it cost to take the course?
    • Nothing! The course is free.
  • Will the text of the lectures be available?
    • Yes. All of our lectures will have transcripts synced to the videos.
  • Do I need to watch the lectures live?
    • No. You can watch the lectures at your leisure.
  • Can I contact the Instructor or Teaching Assistants?
    • Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.
  • Do I need any other materials to take the course?
    • If you have any questions about edX generally, please see the edX FAQ.
Introduction to Statistics: Descriptive Statistics course image
Reviews 9/10 stars
3 Reviews for Introduction to Statistics: Descriptive Statistics

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Michael I profile image
Michael I profile image

Michael I

10/10 starsCompleted
2 years, 9 months ago
The best MOOC I've taken. Clear instruction and explanation with ideas introduced and intelligently scaffolded. An active forum with the instructor dropping in to help out. HW assignments are not trivial but very useful for understanding the material in further depth.
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student

8/10 starsTaking Now
3 years, 5 months ago
The course is well organized and the decision to divide the course in 3 makes self-pacing a little easier to manage and a bit less intimidating. There are two things I think could be better: - The online textbook is poorly executed/presented. It feels dated, difficult to read and is often poorly aligned with the lecture material. An update is overdue. - The instructor is fantastic, but her lecturing pace is lethargic and sometimes verbose. Overall, a nice MOOC for introductory stats/probs.
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Krishna Sankar profile image
Krishna Sankar profile image

Krishna Sankar

10/10 starsTaking Now
3 years, 8 months ago
I love the way the professor teaches this course with a very clear and calm tone. Often times Statistics is confused with plugging formulas and getting results. As a result people use statistical measures incorrectly without understanding the intuition behind it, when to use and more importantly when not to use a measure. The respected professor makes all of this very clear in her course. I personally benefited from this course even though I am a data analysis professional and have been in this field for the last 8 years. I am planning on taking all of the courses in this series to work towards and advanced understanding in area of data science. Thank you again professor.
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