Develop the basis for the knowledge of the needs and applications of each department with a program that will provide you with the tools to achieve excellence in management" 

Why Study at TECH?

TECH is the world's largest 100% online business school. It is an elite business school, with a model based on the highest academic standards. A world-class centre for intensive managerial skills training.   

TECH is a university at the forefront of technology, and puts all its resources at the student's disposal to help them achieve entrepreneurial success"

At TECH Global University

Innovation

The university offers an online learning model that combines the latest educational technology with the most rigorous teaching methods. A unique method with the highest international recognition that will provide students with the keys to develop in a rapidly-evolving world, where innovation must be every entrepreneur’s focus.

"Microsoft Europe Success Story", for integrating the innovative, interactive multi-video system.  

The Highest Standards

Admissions criteria at TECH are not economic. Students don't need to make a large investment to study at this university. However, in order to obtain a qualification from TECH, the student's intelligence and ability will be tested to their limits. The institution's academic standards are exceptionally high...  

95% of TECH students successfully complete their studies.

Networking

Professionals from countries all over the world attend TECH, allowing students to establish a large network of contacts that may prove useful to them in the future.  

100,000+ executives trained each year, 200+ different nationalities.

Empowerment

Students will grow hand in hand with the best companies and highly regarded and influential professionals. TECH has developed strategic partnerships and a valuable network of contacts with major economic players in 7 continents.  

500+ collaborative agreements with leading companies.

Talent

This program is a unique initiative to allow students to showcase their talent in the business world. An opportunity that will allow them to voice their concerns and share their business vision. 

After completing this program, TECH helps students show the world their talent. 

Multicultural Context

While studying at TECH, students will enjoy a unique experience. Study in a multicultural context. In a program with a global vision, through which students can learn about the operating methods in different parts of the world, and gather the latest information that best adapts to their business idea. 

TECH students represent more than 200 different nationalities.   

Learn with the best

In the classroom, TECH teaching staff discuss how they have achieved success in their companies, working in a real, lively, and dynamic context. Teachers who are fully committed to offering a quality specialization that will allow students to advance in their career and stand out in the business world. 

Teachers representing 20 different nationalities. 

TECH strives for excellence and, to this end, boasts a series of characteristics that make this university unique:   

Analysis

TECH explores the student’s critical side, their ability to question things, their problem-solving skills, as well as their interpersonal skills.  

Academic Excellence

TECH offers students the best online learning methodology. The university combines the Relearning method (a postgraduate learning methodology with the highest international rating) with the Case Study. A complex balance between tradition and state-of-the-art, within the context of the most demanding academic itinerary.  

TECH is the world’s largest online university. It currently boasts a portfolio of more than 10,000 university postgraduate programs. And in today's new economy, volume + technology = a ground-breaking price. This way, TECH ensures that studying is not as expensive for students as it would be at another university.  

At TECH, you will have access to the most rigorous and up-to-date case studies in the academic community”

The TECH Postgraduate diploma has been designed with the main objective of promoting the knowledge of business professionals in data analysis. Its structure and online format facilitate the study for the students, since they will be able to make a high-quality academic journey through the multiple theoretical and practical resources. 

It manages to propose business and loyalty plans based on market research and generates a positive change in the company" 

Syllabus

The Postgraduate diploma in Business Data Analysis from TECH Global University has an up-to-date syllabus according to the demands of the labor market, providing the fundamental knowledge to face managerial challenges in the IT departments of companies. 

The entire content of the program is designed to enhance the theoretical and managerial skills of business professionals interested in the problems involved in analyzing and interpreting huge amounts of information.  

Throughout 450 hours of learning, the students will understand the key concepts to advance in their professional career, determining the creation of scorecards and KPIs according to the department. Therefore, it is an immersion of real business situations in the academic classroom.  

This Postgraduate diploma will help to analyze each department defining the most important needs and applications in each of them, as well as the objectives to be achieved through data analytics in an efficient way. It will also cover the different types of data, the most useful representations and the different data representation programs.   

Based on the above, the syllabus will be complemented with the teaching of models that are more versatile and adaptable for the analysis of time series, such as the models associated with economic series. In this way, it becomes a syllabus that meets the needs of students and prepares them to face any professional challenge at the business level.    

This Postgraduate diploma takes place over 6 months and is divided into 3 modules: 

Módulo 1. Data Analysis in a Business Organization
Módulo 2. Graphical Representation of Data Analysis
Módulo 3. Predictability and Analysis of Stochastic Phenomena

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate diploma in Business Data Analysis completely online. Over the course of 6 months, 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. Data Analysis in a Business Organization

1.1. Business Analysis 

1.1.1. Business Analysis 
1.1.2. Data Structure 
1.1.3. Phases and Elements 

1.2. Data Analysis in the Business

1.2.1. Scorecards and KPIs by Department 
1.2.2. Operational, Tactical and Strategic Reports 
1.2.3. Data Analytics Applied to Each Department

1.2.3.1. Marketing and Communication 
1.2.3.2. Commercial 
1.2.3.3. Customer Service 
1.2.3.4. Purchasing 
1.2.3.5. Administration
1.2.3.6. HR
1.2.3.7. Production 
1.2.3.8. IT

1.3. Marketing and Communication

1.3.1. KPIs to be Measured, Applications and Benefits 
1.3.2. Marketing Systems and Data Warehouse 
1.3.3. Implementation of a Data Analytics Framework in Marketing 
1.3.4. Marketing and Communication Plan 
1.3.5. Strategies, Prediction and Campaign Management

1.4. Commerce and Sales 

1.4.1. Contributions of Data Analytics in the Commercial Area  
1.4.2. Needs of the Sales Department 
1.4.3. Market Research 

1.5. Customer Service

1.5.1. Loyalty  
1.5.2. Personal Coaching and Emotional Intelligence  
1.5.3. Customer Satisfaction

1.6. Purchasing 

1.6.1. Data Analysis for Market Research 
1.6.2. Data Analysis for Competency Research 
1.6.3. Other Applications

1.7. Administration 

1.7.1. Needs of the Administration Department 
1.7.2. Data Warehouse and Financial Risk Analysis 
1.7.3. Data Warehouse and Credit Risk Analysis

1.8. Human Resources

1.8.1. HR and the Benefits of Data Analysis 
1.8.2. Data Analytics Tools in the HR Department
1.8.3. Data Analytics Applications in the HR Department

1.9. Production

1.9.1. Data Analysis in a Production Department 
1.9.2. Applications 
1.9.3. Benefits

1.10. IT

1.10.1. IT Department 
1.10.2. Data Analysis and Digital Transformation  
1.10.3. Innovation and Productivity

Module 2. Graphical Representation of Data Analysis

2.1. Exploratory Analysis 

2.1.1. Representation for Information Analysis 
2.1.2. The Value of Graphical Representation 
2.1.3. New Paradigms of Graphical Representation

2.2. Optimization for Data Science

2.2.1. Color Range and Design 
2.2.2. Gestalt in Graphic Representation 
2.2.3. Errors to Avoid and Advice

2.3. Basic Data Sources

2.3.1. For Quality Representation 
2.3.2. For Quantity Representation 
2.3.3. For Time Representation

2.4. Complex Data Sources

2.4.1. Files, Lists and Databases 
2.4.2. Open Data 
2.4.3. Continuous Data Generation

2.5. Types of Graphs 

2.5.1. Basic Representations 
2.5.2. Block Representation 
2.5.3. Representation for Dispersion Analysis  
2.5.4. Circular Representations 
2.5.5. Bubble Representations 
2.5.6. Geographical Representations

2.6. Types of Visualization 

2.6.1. Comparative and Relational 
2.6.2. Distribution 
2.6.3. Hierarchical

2.7. Report Design with Graphic Representation

2.7.1. Application of Graphs in Marketing Reports 
2.7.2. Application of Graphs in Scorecards and KPIs 
2.7.3. Application of Graphs in Strategic Plans 
2.7.4. Other Uses: Science, Health, Business

2.8. Graphic Narration

2.8.1. Graphic Narration 
2.8.2. Evolution 
2.8.3. Uses

2.9. Tools Oriented Towards Visualization 

2.9.1. Advanced Tools 
2.9.2. Online Software 
2.9.3. Open Source

2.10. New Technologies in Data Visualization 

2.10.1. Systems for Virtualization of Reality 
2.10.2. Reality Enhancement and Improvement Systems 
2.10.3. Intelligent Systems 

Module 3. Predictability and Analysis of Stochastic Phenomena

3.1. Time Series

3.1.1. Time Series  
3.1.2. Utility and Applicability 
3.1.3. Related Case Studies

3.2. Time Series

3.2.1. Trend Seasonality of ST 
3.2.2. Typical Variations 
3.2.3. Waste Analysis

3.3. Typology

3.3.1. Stationary 
3.3.2. Non-Stationary 
3.3.3. Transformations and Settings

3.4. Time Series Schemes

3.4.1. Additive Scheme (Model) 
3.4.2. Multiplicative Scheme (Model) 
3.4.3. Procedures to Determine the Type of Model

3.5. Basic Forecast Methods

3.5.1. Media 
3.5.2. Naive 
3.5.3. Seasonal Naive 
3.5.4. Comparison of Methods

3.6. Waste Analysis

3.6.1. Autocorrelation 
3.6.2. ACF of Waste 
3.6.3. Correlation Test

3.7. Regression in the Context of Time Series

3.7.1. ANOVA 
3.7.2. Fundamentals 
3.7.3. Practical Application

3.8. Predictive Methods of Time Series

3.8.1. ARIMA 
3.8.2. Exponential Smoothing

3.9. Manipulation and Analysis of Time Series with R

3.9.1. Data Preparation 
3.9.2. Identification of Patterns 
3.9.3. Model Analysis 
3.9.4. Prediction

3.10. Combined Graphical Analysis with R

3.10.1. Normal Situations 
3.10.2. Practical Application for the Resolution of Simple Problems 
3.10.3. Practical Application for Advanced Problem Solving

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