Daily Study Group: Introduction to Probability
About This Study Group
Using real-world examples, this Daily Study Group follows lessons from the upcoming Wolfram U comprehensive introduction to probability course. Topics are those typically found in basic probability courses and serve as great preparation for further study of statistics and data science as well as the Actuarial Probability Exam (P).

The instructor guides each session by sharing short lessons, polling the group to review key concepts, introducing practice problems and answering questions. A certificate of program completion will be awarded to participants who attend online sessions and pass quizzes. Level 1 proficiency certification will be awarded to those who also pass the online course exam.

Study group sessions run daily, Monday through Friday.
This Study Group Has 10 Sections
  • Monday, February 27, 11am–noon US CST (5–6pm GMT)
    Necessary Knowledge
    Monday, February 27, 2023 · 11:00 AM CST
    Learn what probability is all about, how to count efficiently and how to see the world like a probabilist would.
  • Tuesday, February 28, 11am–noon US CST (5–6pm GMT)
    Defining Randomness
    Tuesday, February 28, 2023 · 11:00 AM CST
    Learn what probability is exactly, the simplicity and complexity that it implies. While assumptions make life simpler, without those assumptions, life is more interesting!
  • Wednesday, March 1, 11am–noon US CST (5–6pm GMT)
    Random Variables
    Wednesday, March 1, 2023 · 11:00 AM CST
    Get an intuitive and deep grasp of random variables and enable yourself to modelize any random distribution!
  • Thursday, March 2, 11am–noon US CST (5–6pm GMT)
    Measure, Guess, Create!
    Thursday, March 2, 2023 · 11:00 AM CST
    Random variables are easy but can be mysterious without the right tools. Learn to analyze and understand any random variable, so that it has no secrets from you.
  • Friday, March 3, 11am–noon US CST (5–6pm GMT)
    Yes or No?
    Friday, March 3, 2023 · 11:00 AM CST
    Learn about important discrete random variables based on binary experiments. Review of Day 1–4.
  • Monday, March 6, 11am–noon US CST (5–6pm GMT)
    Extending to Many and Infinity
    Monday, March 6, 2023 · 11:00 AM CST
    Learn the distributions that extend binary experiments to even more situations, just by changing a few numbers.
  • Tuesday, March 7, 11am–noon US CST (5–6pm GMT)
    Continuous Constants
    Tuesday, March 7, 2023 · 11:00 AM CST
    Study the continuous distributions of predictable situations. Learn to predict the future!
  • Wednesday, March 8, 11am–noon US CST (5–6pm GMT)
    When Data Talks
    Wednesday, March 8, 2023 · 11:00 AM CST
    Learn the most common and most powerful distribution in highly random contexts. Let the data guide your analysis, and the data might show you something new!
  • Thursday, March 9, 11am–noon US CST (5–6pm GMT)
    Combining Distributions
    Thursday, March 9, 2023 · 11:00 AM CST
    Push the complexity of random variables and learn the most powerful tools of probability. Know probability like a painter knows paint. Review of Day 5–8.
  • Friday, March 10, 11am–noon US CST (5–6pm GMT)
    Large – no – HUGE Numbers
    Friday, March 10, 2023 · 11:00 AM CST
    Learn what happens when numbers get big, and the reason why the normal distribution is so popular.
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