Size: 1.74 GB
Learn how to apply probability and statistics to real data science and business applications!
What you’ll learn
- Understand the basics of probability
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Be able to implement basic statistics
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Understand how to use various statistical distributions
- Apply statistical methods and hypothesis testing to business problems
- Understand how regression models work
- Implement one way and two way ANOVA
- Understand Chi Squared Tests
- Be able to understand different types of data
Requirements
- Paper and Pencil to take notes
- Optional: Excel or Python to run simulations
Description
Welcome to Probability and Statistics for Business and Data Science! In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!- Measurements of Data
- Mean, Median, and Mode
- Variance and Standard Deviation
- Co-variance and Correlation
- Permutations and Combinations
- Unions and Intersections
- Conditional Probability
- Bayes Theorem
- Binomial Distribution
- Poisson Distribution
- Normal Distribution
- Sampling
- Central Limit Theorem
- Hypothesis Testing
- T-Distribution Testing
- Regression Analysis
- ANOVA
- Chi Squared
- and much more!
Who is the target audience?
- Someone interested in learning how to apply probability and statistics to business or data science
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