Ir al contenido principal

Introduction to Data Science and Basic Statistics for Business

In this course you will acquire statistical methods for decision making in business, as well as technological tools to develop quantitative skills.

Areas such as " big data" require very clear knowledge of statistics and business, technology provides us various applications that require solid training in statistics for proper use and interpretation .

Introduction to Data Science and Basic Statistics for Business

Hay una sesión disponible:

After a course session ends, it will be archivado.
Comienza el Jul 26
4 semanas estimadas
5–8 horas por semana
A tu ritmo
Avanza a tu ritmo
Gratis
Cambio opcional de categoría disponible

Sobre este curso

Omitir Sobre este curso

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.

De un vistazo

Lo que aprenderás

Omitir Lo que aprenderás

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

Plan de estudios

Omitir Plan de estudios

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.

Acerca de los instructores

¿Te interesa este curso para tu negocio o equipo?

Capacita a tus empleados en los temas más solicitados con edX para Negocios.