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TecdeMonterreyX: 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
4 weeks
5–8 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

Choose your session:

After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 28
Ends Apr 21
Starts Apr 15

About this course

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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.

At a glance

  • Language: Español
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Business Technologies, Statistical Methods, Statistics, Decision Making, Big Data, Data Science, Probability Distribution

What you'll learn

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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.

This course is part of Essential quantitative business skills Professional Certificate Program

Learn more 
Expert instruction
3 skill-building courses
Self-paced
Progress at your own speed
3 months
5 - 8 hours per week

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