Introduction to Data Science and Basic Statistics for Business (edX)

Introduction to Data Science and Basic Statistics for Business (edX)
Course Auditing
Categories
Effort
Certification
Languages
Bachelor's degree.
Misc

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Introduction to Data Science and Basic Statistics for Business (edX)
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 .

Class Deals by MOOC List - Click here and see edX's Active Discounts, Deals, and Promo Codes.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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.

This course is part of the Essential quantitative business skills Professional Certificate.


What you'll learn

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


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.



0
No votes yet

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
83.00 EUR
Bachelor's degree.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.