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Workshop in Probability and Statistics

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Nancy
Nancy
/
May 21, 2024

Workshop in Probability and Statistics

4.502
4 Enrolled

This comprehensive workshop is designed to equip participants with a solid foundation in probability and statistics, which are crucial for various fields such as data science, engineering, economics, and the social sciences. The workshop blends theoretical concepts with practical applications, enabling attendees to understand and utilize statistical methods effectively. Through interactive sessions, hands-on exercises, and real-world case studies, participants will develop the skills needed to analyze data and make informed decisions based on statistical analysis.

What Will I Learn?

  • Fundamental concepts of probability and random variables
  • Probability rules and theorems
  • Measures of central tendency: mean, median, mode
  • Measures of variability: range, variance, standard deviation
  • Sampling methods and understanding sampling distributions
  • Central Limit Theorem
  • Conducting t-tests: one-sample, two-sample, paired
  • Analysis of variance (ANOVA) for comparing means
  • Applying statistical methods to real-world data sets

Course Content

Basic Probability and Terminology

  • Fundamentals of Probability
    01:03
  • Events and Complements
    00:00
  • Measures of Central Tendency
    00:00
  • Variance & Standard Deviation
    02:15
  • Search Sort Algorithms

Joint and Conditional Probability

Bayes’ Rule & Random Variables

Multiple Regression

About the instructor

Nancy

Nancy

Software Developer

Nancy is a dedicated and experienced  with over 13 years of Software Developer
4.00 (18 ratings)

9 Courses

8 students

Student Feedback

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2 Reviews

This course is amazing, it is extremely thorough and in depth.

Great starting point for learning Swift. If you have never programmed, or never used Swift it is a great place to start.

£68.00
  • Beginner
Durations: 50 hours
Lectures: 15
Students: Max 65
Level: Beginner
Language: English
Certificate: Yes

Material Includes

  • 3.5 hours on-demand video
  • 1 article
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Requirements

  • Basic Mathematical Knowledge: Familiarity with high school-level algebra and basic mathematical concepts.
  • Interest in Quantitative Analysis: A strong interest in learning how to analyze data and apply statistical reasoning.
  • Tools and Software: Participants should have access to a computer with a stable internet connection. The workshop will involve using statistical software such as R, Python, or Excel, so having these tools installed beforehand is recommended.
  • Prerequisites: No prior knowledge of probability or statistics is required, though a basic understanding of algebra is beneficial.

Audience

  • Students: Undergraduate and graduate students in fields such as mathematics, statistics, engineering, economics, and social sciences.
  • Professionals: Individuals in data-intensive roles such as data scientists, business analysts, market researchers, healthcare professionals, and engineers.
  • Researchers: Academics and scientists who require robust statistical methods for their research projects.
  • Enthusiasts: Anyone with an interest in learning about probability and statistics for personal or professional growth.