Analyze the benefits of using data analytic techniques in every company department” 

This program will provide an in-depth analysis of the importance of using sound information analytics systems to benefit company departments. IT engineers therefore need to know how each department works in order to identify their needs and develop an appropriate action plan.

Moreover, special emphasis will be placed on the progress that artificial intelligence has made in the business world, changing the way in which we relate to each other on a personal and professional level. Consequently, this program will analyze a wide variety of use cases and AI implementations in this field.

The entire program is comprised of a series of case studies that will help computer engineers who are looking to advance their careers and challenge themselves to achieve excellence.

Examine the evolution of new technologies and where they are headed in the coming years in the industrial sector” 

This Postgraduate certificate in Data Science in Business Areas and Sectors contains the most complete and up-to-date program on the market. The most important features include: 

• Practical cases studies are presented by experts in Engineering in data analysis 
• The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Analyze the strategies chosen to select the best technologies to implement in each company department” 

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. Students will be assisted by an innovative, interactive video system made by renowned experts with extensive experience in Data Science in Business Areas and Sectors.  

Propose techniques and objectives in order to be as productive as possible for each department"

Learn statistical, quantitative and technical knowledge in real situations through a 100% online program"

The program modules offer a theoretical and practical perspective to establish the importance of using a sound data analytics system in the company, as well as the use of new technologies, such as artificial intelligence, to improve the management that can slow down progress. Therefore, the objectives of the program, being to create professional, integral and prestigious engineers will be fulfilled.

Doing this program will translate into an improvement for your professional career”

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. Departmental Scorecards and KPIs 
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. Human Resources (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. Sales Department Needs
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. Practical Application of Data Science in Business Sectors

2.1. Health Sector 

2.1.1. Implications of AI and Data Analysis in the Health Sector 
2.1.2. Opportunities and Challenges

2.2. Risks and Trends in the Health Sector

2.2.1. Use in the Health Sector 
2.2.2. Potential Risks Related to the Use of AI

2.3. Financial Services

2.3.1. Implications of AI and Data Analysis in Financial Services Sector 
2.3.2. Use in the Financial Services 
2.3.3. Potential Risks Related to the Use of AI 

2.4. Retail 

2.4.1. Implications of AI and Data Analysis in the Retail Sector 
2.4.2. Use in Retail 
2.4.3. Potential Risks Related to the Use of AI 

2.5. Industry 4.0

2.5.1. Implications of AI and Data Analysis in Industry 4.0 
2.5.2. Use in the 4.0 Industry 

2.6.  Risks and Trends in Industry 4.0 

2.6.1. Potential Risks Related to the Use of AI 

2.7. Public Administration

2.7.1. Implications of AI and Data Analysis in Public Administration 
2.7.2. Use in Public Administration 
2.7.3. Potential Risks Related to the Use of AI 

2.8. Educational

2.8.1. Implications of AI and Data Analysis in Education 
2.8.2. Potential Risks Related to the Use of AI 

2.9. Forestry and Agriculture

2.9.1. Implications of AI and Data Analysis in Forestry and Agriculture 
2.9.2. Use in Forestry and Agriculture 
2.9.3. Potential Risks Related to the Use of AI 

2.10. Human Resources   

2.10.1. Implications of AI and Data Analysis in Human Resources 
2.10.2. Practical Applications in the Business World
2.10.3. Potential Risks Related to the Use of AI

This program is designed by professionals who want to train the next generation: High-level professional computer engineers”