Introduction to Data Science and Basic Statistics for Business

Overview

This course allows you to develop skills of a decision maker leader based on the following competencies:

analysis of statistical elements of information
concepts and statistical foundations for the application of the area of data science

Through descriptive statistics, the study and analysis of discrete and continuous probability distributions, as well as the estimation by intervals for the mean and the proportion, it is how you will be able to develop both skills.

Syllabus

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.