The syllabus for this Postgraduate certificate has been designed and created by a team of experts in the field to respond specifically to the needs of Business Science professionals. This compendium of content has also been designed with a focus on applied learning, which will allow professionals to successfully intervene by means of a broad vision of real environments in the profession. Thus, this syllabus will become students' main asset to successfully insert themselves into a labor market that increasingly demands more specialized professionals in Business Statistics.  

The most complete syllabus on the market with a single purpose: To create the best managers in business” 

Syllabus

Statistics, understood as the discipline that studies and analyzes economic data, with an eminent practical application in different areas of the company, is booming due to its ability to assess company success. The information provided by this analysis greatly helps an organization manage the state and health of the company, and to implement specific actions to improve certain results. For all these reasons, it is crucial for Business Science specialists to know how to use statistics in depth, since it is an almost mandatory skill in determining where the company is and where it wants to go. 

Being fully aware of this, TECH professionals have designed this comprehensive Postgraduate certificate in Business Statistics, created with the aim of preparing business professionals to conduct in-depth analyses in business economics and, by means of statistical tools, to obtain data that can help understand where the organization is headed and the changes or steps to follow to achieve optimal growth.  

This compendium of content offered at TECH has been designed in a 100% digital format. Thus, students will only need an electronic device with an Internet connection to have access to the largest bank of information imaginable. As it is an online program, students decide when, how and where to study, so they can balance the rest of their daily activities while they continue their education.    

This Postgraduate certificate takes place over 12 weeks and is divided into 2 modules: 

Module 1. Statistics I  
Module 2. Statistics II

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate certificate in Business Statistics completely online. Over the course of 12 weeks, you will be able to access all the contents of this program at any time, allowing you to self-manage your study time. 

Module 1. Statistics I

1.1. Introduction to Statistics

1.1.1. Basic Concepts
1.1.2. Types of Variables
1.1.3. Statistical Information

1.2. Data Record Sorting and Classifying

1.2.1. Description of Variables
1.2.2. Frequency Distribution Table
1.2.3. Quantitative and Qualitative Frequency Distribution Tables

1.3. ICT Applications and Practical Systems

1.3.1. Basic Concepts
1.3.2. Tools
1.3.3. Data Representation

1.4. Summary Statistics I

1.4.1. Descriptive Statistics
1.4.2. Centralization Measurements
1.4.3. Measures of Dispersion
1.4.4. Measures of Shape and Position

1.5. Summary Statistics II

1.5.1. Box Plots
1.5.2. Identifying Outliers
1.5.3. Transformation

1.6. Statistical Analysis of the Relationship between the Two Variables

1.6.1. Tabulation
1.6.2. Contingency Tables and Graphical Representations
1.6.3. Linear Relationship between Quantitative Variables

1.7. Time Series and Index Numbers

1.7.1. Time Series
1.7.2. Variation Rates
1.7.3. Index Numbers
1.7.4. Consumer Prices Index (CPI) and Deflated Time Series

1.8. Introduction to Probability: Calculation and Basic Concepts

1.8.1. Basic Concepts
1.8.2. Set Theory
1.8.3. Probability Calculation

1.9. Random Variables andProbability Distributions

1.9.1. Random Variables
1.9.2. Variable Measurements
1.9.3. Probability Distribution

1.10. Probability Models for Random Variables

1.10.1. Probability Calculation
1.10.2. Discrete Random Variables
1.10.3. Continuous Random Variables
1.10.4. Models Derived from Normal Distribution

Module 2. Statistics II

2.1. Probability: Random Variables

2.1.1. Random Experiments
2.1.2. Axioms of Probability
2.1.3. Elementary Properties

2.2. Probability Models

2.2.1. Random Variables
2.2.2. Bernoulli’s Distribution
2.2.3. Binomial Distribution
2.2.4. Multinomial Distribution

2.3. Calculating Probabilities and Critical Points with R

2.3.1. Normal or Gaussian Distribution
2.3.2. R Commander
2.3.3. Properties

2.4. Statistical Inference: Some Preliminary Concepts

2.4.1. Definition and Preliminary Concepts
2.4.2. Binomial Distribution and Calculation
2.4.3. Normal Curve and Calculation

2.5. Point Estimators: Sampling Distributions and Properties

2.5.1. General Concepts of Sampling Distribution
2.5.2. Point Estimation
2.5.3. Interval Estimation

2.6. Confidence Intervals (CI): Mean, Proportion, Variance. CI in Two Populations

2.6.1. Intervals for One or Several Samples
2.6.2. Bootstrap Method
2.6.3. Bayesian Intervals

2.7. Hypothesis Testing in Statistical Inference Methods

2.7.1. Statistical Hypothesis Testing
2.7.2. Region of Rejection and Acceptance
2.7.3. Decision Rules

2.8. Particular Cases: Population Mean, Variance and Proportion. Parametric Contrasts

2.8.1. Known and Unknown Variances
2.8.2. Likelihood Ratio
2.8.3. Equality Test

2.9. Chi-Squared Goodness-of-Fit Test

2.9.1. Data Grouping
2.9.2. Critical Region
2.9.3. Expected Frequency

2.10. Normality Assumption Test: Jarque-Bera Test

2.10.1. Significant Variables
2.10.2. Central Limit Theorem
2.10.3. Estimators, Histogram

2.11. Hypothesis Test of Independence with Two Qualitative Variables

2.11.1. Concept of Independent Variables
2.11.2. Observed and Expected Frequencies
2.11.3. Calculating the Contrast Ratio

2.12. Simple Linear Regression Models and Point Estimation

2.12.1. Regression and Linear Correlation Coefficient
2.12.2. Parameter Inference
2.12.3. Model Assumptions

2.13. Confidence Interval and Regression Lines

2.13.1. Linear Functions and Regression
2.13.2. Simple Linear Regression
2.13.3. Exogenous and Endogenous Variables 

2.14. Predictions and Applications of Information and Communication Technology

2.14.1. Theoretical and Conceptual Framework
2.14.2. Collection and Analysis Techniques
2.14.3. General and Specific Objectives

2.15. Multiple Regression Models and Point Estimation

2.15.1. Hypothesis and Estimation
2.15.2. Types of Error and Model Adjustments
2.15.3. Linear Model Extensions

2.16. Global Significance Test of Regression

2.16.1. ANOVA Table
2.16.2. Multicollinearity

A unique, key, and decisive educational experience to boost your professional development and make the definitive leap"

The objectives of this program are based on meeting the specialization needs of Business Science professionals in the field of Business Statistics and its power to accurately analyze data. In this sense, a complete and optimal program has been realistically established to lead students to academic excellence and encourage them to efficiently advance in their professional careers. Thus, the Postgraduate certificate will be a journey for students toward both personal and professional growth that will lead them to the highest level of performance as experts in Business Statistics. 

International experience, ethical commitment, and business acumen are some of the most sought-after characteristics in executives in the digital age” 

Your goals are our goals 
We work together to help you achieve them

The Postgraduate certificate in Business Statistics enables students to:

1. Recognize the basic concepts of statistics and probability
2. Apply the different methods of data selection, pooling and presentation
3. Design and select samples by identifying the means, techniques and tools to record information
4. Apply the various probability distribution and statistical models for reliable decision making in relation to the company's situation
5. Understand how future investments work
6. Manage investment results in accordance with company policies and the country's economy