Statistics and Probability
Description
Gain the essential skills to analyze data and understand uncertainty with our comprehensive Statistics and Probability course. This course provides a deep dive into the fundamental concepts of statistical analysis and probability theory, equipping you with the tools to make informed decisions based on data. Whether you're a student, professional, or researcher, this course covers everything from descriptive statistics and probability distributions to hypothesis testing and inferential statistics. Through clear explanations and practical exercises, you'll learn how to interpret data, assess risks, and apply statistical methods in real-world scenarios across various fields such as business, science, and engineering.
Course Detail
Duration
3 months
Weekly sessions
3
Type
Individual
Available Languages
English
Syllabus
What you will learn
- Understand the basics of descriptive statistics, including measures of central tendency and variability.
- Learn how to create and interpret different types of data visualizations, such as histograms, bar charts, and scatter plots.
- Explore the fundamental principles of probability, including the rules of probability, conditional probability, and Bayes' theorem.
- Study discrete and continuous probability distributions, including binomial, Poisson, and normal distributions.
- Learn how to perform hypothesis testing and understand the concepts of p-values and confidence intervals.
- Explore correlation and regression analysis to assess relationships between variables.
- Discover the principles of inferential statistics and how to make predictions or decisions based on sample data.
- Apply statistical and probability concepts to solve real-world problems in various fields.