Through this course, participants will be able to:
● Apply basic statistical methods to the business environment
● Use technological tools to develop quantitative skills
● Interpret the results of statistical methods applied to businesses
Topic 1: Descriptive statistics
1.1 Types of data; Measurement scales; Organization of qualitative and quantitative data; Graphic representation;
1.2 Measures of central tendency; Position measurements; Measures of dispersion; Descriptive statistics on your laptop
Topic 2: Discrete Probability Distributions
2.1 Discrete random variable; Density and cumulative probability functions; Mean and variance of a discrete random variable; Fundamental properties;
2.2 Poisson distribution ; Binomial Distribution
Topic 3: Continuous Probability Distributions
3.1 Continuous random variable; Density and cumulative probability functions; Mean and variance of a continuous random variable; Fundamental properties;
3.2 Uniform Distribution; Normal distribution
Topic 4: Interval estimation for the mean and proportion
4.1 Confidence intervals calculation; Calculation of sample size required for a given estimation error;
4.2 Student’s t distribution.
Introduction to Data Science and Basic Statistics for Business