Thanks to this Professional Master's Degree, you have the opportunity to achieve the success you are looking for in the Digital Transformation and Industry 4.0 in Digital Transformation and Industry 4.0 sector"

Big Data, Virtual Reality, Artificial Intelligence or the Internet of Things (IoT) have opened up a range of possibilities for the industry, which is currently undergoing a process of digitalization. The efficiency and effectiveness of new technologies have led to improvements in this sector and a boost that, in turn, has an impact on other areas such as information technology. In this reality, IT professionals have become a key player and are in great demand. For this reason, this educational institution has created a program aimed at graduates who wish to deepen their knowledge in Blockchain, Quantum Computing, robotics, Augmented Workers and Artificial Intelligence. All this, in addition, by means of innovative teaching materials developed by the specialized teaching team, which teaches this program 100% online. 

New technologies are present in all social and economic sectors. In recent years, this transformation has boosted the creation of a digital economy, in which IT professionals play a key role, thanks to their in-depth knowledge. Likewise, the pandemic caused by COVID-19 has given a decisive impetus to a process that, until now, had been taking firm but not giant steps.

In this totally favorable scenario for Industry 4.0, the computer scientist has an excellent opportunity to access a sector where there are multiple possibilities, ranging from the digitization of automation processes, the creation of robots, drones or the creation of a Startup with the knowledge and skills necessary for it. In this scenario of growth, TECHhas designed a Professional master’s degree of Lifelong Learning, in which it has brought together a relevant teaching team in this field and whose objective is to offer the most updated information in a booming sector.

A program that provides graduates with the most advanced knowledge in the field of Virtual, Augmented and Mixed Reality, Industry 4.0 itself and its application in sectors such as agriculture or the potential of intelligent security systems, through video summaries, detailed videos, complementary readings or case studies.
Students are faced with a program taught only in online mode, which can be accessed comfortably whenever and wherever they wish. All you need is an electronic device with an Internet connection, which will allow you to view the content hosted on the virtual platform. A syllabus, moreover, whose course load can be distributed according to your needs, providing the flexibility sought by people who want a university program compatible with their professional and personal responsibilities.

With this degree you will have the knowledge and skills to lead an IT project in Industry 4.0. Take the step and enroll now"

ThisProfessional master’s degree in Digital Transformation and Industry 4.0 contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts MBA in Digital Transformation and Industry 4.0The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out 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

Access comfortably from your computer, at any time of the day, to the latest news on digitization in the primary sector"

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Drones, robots, Virtual Reality, etc,. Make your mark with the creation of devices that are changing sectors such as construction, tourism and healthcare"

This 100% online Professional Master's Degree of Lifelong Learning provides you with practical cases that will lead you to learn more about the applications of the Internet of Things"

The specialized team inProfessional master’s degree in Digital Transformation and Industry 4.0 that has designed this syllabus has developed innovative teaching material, which will allow students to delve into the most up-to-date information on Machine learning, the creation of drones, sector services and solutions or advances in the Internet of things. All this, in modules through which you will be able to advance more quickly thanks to the Relearning system, used by TECH in all its programs. In this way, you will also be able to consolidate the knowledge you have acquired, which will allow you to progress in your professional field.

Be part of the digital change thanks to the content of this program designed for computer scientists with high professional aspirations"

Module 1. Blockchain and Quantum Computing

1.1. Aspects of Decentralization

1.1.1. Market Size, Growth, Companies and Ecosystem
1.1.2. Fundamentals of Blockchain

1.2. Background: Bitcoin, Ethereum, etc.

1.2.1. Popularity of Decentralized Systems
1.2.2. Evolution of Decentralized Systems

1.3. Blockchain Operation and Examples

1.3.1. Types of Blockchain and Protocols
1.3.2. Wallets, Mining and More

1.4. Characteristics of Blockchain Networks

1.4.1. Functions and Properties of Blockchain Networks
1.4.2. Applications: Cryptocurrencies, Reliability, Chain of Custody, etc

1.5. Types of Blockchain

1.5.1. Public and Private Blockchains
1.5.2. Hard And Soft Forks

1.6. Smart Contracts

1.6.1. Intelligent Contracts and Their Potential
1.6.2. Smart Contract Applications

1.7. Industry Use Models

1.7.1. Blockchain Applications by Industry
1.7.2. Blockchain Success Stories by Industry

1.8. Security and Cryptography

1.8.1. Objectives of Cryptography
1.8.2. Digital Signatures and Hash Functions

1.9. Cryptocurrencies and Uses

1.9.1. Types of Cryptocurrencies Bitcoin, HyperLedger, Ethereum, Litecoin, etc.
1.9.2. Current and Future Impact of Cryptocurrencies
1.9.3. Risks and Regulations

1.10. Quantum Computing

1.10.1. Definition and Keys
1.10.2. Uses of Quantum Computing

Module 2. Big Data and Artificial Intelligence

2.1. Fundamental Principles of Big Data

2.1.1. Big Data
2.1.2. Tools to Work With Big Data

2.2. Data Mining and Warehousing

2.2.1. Data Mining Cleaning and Standardization
2.2.2. Information Extraction, Machine Translation, Sentiment Analysis, etc
2.2.3. Types of Data Storage

2.3. Data Intake Applications

2.3.1. Principles of Data intake
2.3.2. Data Ingestion Technologies to Serve Business Needs

2.4. Data Visualization

2.4.1. The Importance of Data Visualization
2.4.2. Tools to Carry It Out Tableau, D3, Matplotlib (Python), Shiny®

2.5. Machine Learning

2.5.1. Understanding Machine Learning
2.5.2. Supervised and Unsupervised Learning
2.5.3. Types of Algorithms

2.6. Neural Networks (Deep Learning)

2.6.1. Neural Network: Parts and Functionality
2.6.2. Types of Networks CNN, RNN
2.6.3. Applications of Neural Networks; Image Recognition and Natural Language Interpretation
2.6.4. Generative Text Networks: LSTM

2.7. Natural Language Recognition

2.7.1. PLN (Processing Natural Language)
2.7.2. Advanced PLN Techniques: Word2vec, Doc2vec

2.8. Chatbots and Virtual Assistants

2.8.1. Types of Assistants: Voice and Text Assistants
2.8.2. Fundamental Parts for the Development of an Assistant: Intents, Entities and Dialog Flow
2.8.3. Integrations: Web, Slack, WhatsApp, Facebook
2.8.4. Assistant Development Tools: Dialogflow, Watson Assistant

2.9. Emotions, Creativity and Personality in IA

2.9.1. Understand How to Detect Emotions Using Algorithms
2.9.2. Creating a Personality: Language, Expressions and Content

2.10. Future of Artificial Intelligence
2.11. Reflections

Module 3. Virtual, Augmented and Mixed Reality

3.1. Market and Tendencies

3.1.1. Current Market Situation
3.1.2. Reports and Growth by Different Industries

3.2. Differences Between Virtual, Augmented and Mixed Reality

3.2.1. Differences Between Immersive Realities
3.2.2. Immersive Reality Typology

3.3. Virtual Reality Cases and Uses

3.3.1. Origin and Fundamentals of Virtual Reality
3.3.2. Cases Applied to Different Sectors and Industries

3.4. Augmented Reality Cases and Uses

3.4.1. Origin and Fundamentals of Augmented Reality
3.4.2. Cases Applied to Different Sectors and Industries

3.5. Mixed and Holographic Reality

3.5.1. Origin, History and Fundamentals of Mixed and Holographic Reality
3.5.2. Cases Applied to Different Sectors and Industries

3.6. 360º Photography and Video

3.6.1. Camera Typology
3.6.2. Uses of 360 Images
3.6.3. Creating a Virtual Space in 360 Degrees

3.7. Virtual World Creation

3.7.1. Platforms for the Creation of Virtual Environments
3.7.2. Strategies for the Creation of Virtual Environments

3.8. User Experience (UX)

3.8.1. Components in the User Experience
3.8.2. Tools for the Creation of User Experiences

3.9. Devices and Glasses for Immersive Technologies

3.9.1. Device Typology on the Market
3.9.2. Glasses and Wearables: Functioning, Models and Uses
3.9.3. Smart Glasses Applications and Evolution

3.10. Future Immersive Technologies

3.10.1. Tendencies and Evolution
3.10.2. Challenges and Opportunities

Module 4. Industry 4.0

4.1. Definition of 4.0 Industry

4.1.1. Features

4.2. Benefits of the 4.0 Industry

4.2.1. Key Factors
4.2.2. Main Advantages

4.3. Industrial Revolutions and Vision of the Future

4.3.1. Industrial Revolutions
4.3.2. Keys Factors in Each Revolution
4.3.3. Technological Principles as a Basis for Possible New Revolutions

4.4. The Digital Transformation of the Industry

4.4.1. Characteristics of the Digitization of the Industry
4.4.2. Disruptive Technologies
4.4.3. Applications in the Industry

4.5. Forth Industrial Revolution Key Principles of Industry 4.0

4.5.1. Definitions
4.5.2. Key Principles and Applications

4.6. 4.0 Industry and Industrial Internet

4.6.1. Origin of IoT
4.6.2. Operation
4.6.3. Steps to Follow for its Implementation
4.6.4. Benefits

4.7. Smart Factory Principles

4.7.1. Smart Factory
4.7.2. Elements That Define a Smart Factory
4.7.3. Steps to Deploy a Smart Factory

4.8. Status of the 4.0 Industry

4.8.1. Status of the 4.0 Industry in Different Sectors
4.8.2. Barriers to the Implementation of 4.0 Industry

4.9. Challenges and Risks

4.9.1. DAFO Analysis
4.9.2. Challenges

4.10. Role of Technological Capabilities and the Human Factor

4.10.1 Disruptive Technologies of Industry 4.0
4.10.2 The Importance of the Human Factor Key Factor

Module 5. Leading Industry 4.0

5.1. Leadership Abilities

5.1.1. Leadership Factors in the Human Factor
5.2.2. Leadership and Technology

5.2. Industry 4.0 and the Future of Production

5.2.1. Definitions
5.2.2. Production Systems
5.2.3. Future of Digital Production Systems

5.3. Effects of Industry 4.0

5.3.1. Effects and Challenges

5.4. Essential Technologies in Industry 4.0

5.4.1. Definition of Technologies
5.4.2. Characteristics of Technologies
5.4.3. Applications and Impacts

5.5. Digitization of Manufacturing

5.2.1. Definitions
5.5.2. Benefits of the Digitization of Manufacturing
5.5.3. Digital Twins

5.6. Digital Capabilities in an Organization

5.6.1. Development Digital Capabilities
5.6.2. Understanding the Digital Ecosystem
5.6.3. Digital Vision of the Business

5.7. Architecture Behind a Smart Factory

5.7.1. Areas and Operations
5.7.2. Connectivity and Security
5.7.3. Case Uses

5.8. Technology Markers in the Post-Covid Era

5.8.1. Technological Challenges in the Post-Covid Era
5.8.2. New Case Uses

5.9. The Era of Absolute Virtualization

5.9.1. Virtualization
5.9.2. The New Era of Virtualization
5.9.3. Advantages

5.10. Current Situation in Digital Transformation Gartner Hype

5.10.1. Gartner Hype
5.10.2. Analysis of Technologies and Their Status
5.10.3. Data Exploitation

Module 6. Robotics, Drones and Augmented Workers

6.1. Robotics

6.1.1. Robotics, Societies and Cinema
6.1.2. Components and Parts of Robot

6.2. Robotics and Advanced Automation: Simulators, Cobots

6.2.1. Transfer of Learning
6.2.2. Cobots and Case Uses

6.3. RPA (Robotic Process Automatization)

6.3.1. Understanding RPA and its Functioning
6.3.2. RPA Platforms, Projects and Roles

6.4. Robot as a Service (RaaS)

6.4.1. Challenges and Opportunities for Implementing RaaS Services and Robotics in Enterprises
6.4.2. Operation of a Raas System

6.5. Drones and Automated Vehicles

6.5.1. Components and Drones Operation
6.5.2. Uses, Types and Applications of Drones
6.5.3. Evolution of Drones and Autonomous Vehicles

6.6. The Impact of 5G

6.6.1. Evolution of Communications and Implications
6.6.2. Uses of 5G Technology

6.7. Augmented Workers

6.7.1. Human - Machine Integration in Industrial Environments
6.7.2. Challenges in Worker-Robot Collaboration

6.8. Transparency, Ethics and Traceability

6.8.1. Ethical Challenges in Robotics and Artificial Intelligence
6.8.2. Monitoring, Transparency and Traceability Methods

6.9. Prototyping, Components and Evolution

6.9.1. Prototyping Platforms
6.9.2. Phases to Make a Prototype

6.10. Future of Robotics

6.10.1. Trends in Robotization
6.10.2. New Types of Robots

Module 7. Industry 4.0 Automation Systems

7.1. Industrial Automation

7.1.1. Automization
7.1.2. Architecture and Components
7.1.3. Safety

7.2. Industrial Robotics

7.2.1. Fundamentals of Industrial Robotics
7.2.2. Models and Impact on Industrial Processes

7.3. PLC Systems and Industrial Control

7.3.1. PLC Evolution and Status
7.3.2. Evolution of Programming Languages
7.3.3. Computer Integrated Automation CIM

7.4. Sensors and Actuators

7.4.1. Classification of Transducers
7.4.2. Types of Sensors
7.4.3. Standardization of Signals

7.5. Monitor and Manage

7.5.1. Types of Actuators
7.5.2. Feedback Control Systems

7.6. Industrial Connectivity

7.6.1. Standardized Fieldbuses
7.6.2. Connectivity

7.7. Proactive / Predictive Maintenance

7.7.1. Predictive Maintenance
7.7.2. Fault Identification and Analysis
7.7.3. Proactive Actions Based on Predictive Maintenance

7.8. Continuous Monitoring and Prescriptive Maintenance

7.8.1. Prescriptive Maintenance Concept in Industrial Environments
7.8.2. Selection and Exploitation of Data for Self-Diagnostics

7.9. Lean Manufacturing

7.9.1. Lean Manufacturing
7.9.2. Benefits of Lean Implementation in Industrial Processes

7.10. Industrialized Processes in Industry 4.0. Use Case

7.10.1. Project Definition
7.10.2. Technological Selection
7.10.3. Connectivity
7.10.4. Data Exploitation

Module 8. Industry 4.0 – Services and Sectorial Solutions I

8.1. Industry 4.0 and Business Strategies

8.1.1. Factors of Business Digitalization
8.1.2. Roadmap for Business Digitalization

8.2. Digitalization of Processes and the Value Chain

8.2.1. Value Chain
8.2.2. Key Steps in the Digitization of Processes

8.3. Sector Solutions for the Primary Sector

8.3.1. The Primary Economic Sector
8.3.2. Characteristics of Each Subsector

8.4. Digitization of the Primary Sector: Smart Farms

8.4.1. Main Characteristics
8.4.2. Keys Factors of Digitization

8.5. Digitization of the Primary Sector: Digital and Intelligent Agriculture

8.5.1. Main Characteristics
8.5.2. Keys Factors of Digitization

8.6. Sector Solutions in the Secondary Sector

8.6.1. The Secondary Economic Sector
8.6.2. Characteristics of Each Subsector

8.7. Digitization of the Secondary Sector: Smart Factory

8.7.1. Main Characteristics
8.7.2. Keys Factors of Digitization

8.8. Digitization of the Secondary Sector: Energy

8.8.1. Main Characteristics
8.8.2. Keys Factors of Digitization

8.9. Digitization of the Secondary Sector: Construction

8.9.1. Main Characteristics
8.9.2. Keys Factors of Digitization

8.10. Digitization of the Secondary Sector: Mining

8.10.1. Main Characteristics
8.10.2. Keys Factors of Digitization

Module 9. Industry 4.0 Industry – Services and Solutions II

9.1. Tertiary Sector Solutions

9.1.1. Tertiary Economic Sector
9.1.2. Characteristics of Each Subsector

9.2. Digitalization of the Tertiary Sector: Transportation

9.2.1. Main Characteristics
9.2.2. Keys Factors of Digitization

9.3. Digitization of the Tertiary Sector: e-Health

9.3.1. Main Characteristics
9.3.2. Keys Factors of Digitization

9.4. Digitization of the Tertiary Sector: Smart Hospitals

9.4.1. Main Characteristics
9.4.2. Keys Factors of Digitization

9.5. Digitization of the Tertiary Sector: Smart Cities

9.5.1. Main Characteristics
9.5.2. Keys Factors of Digitization

9.6. Digitalization of the Tertiary Sector: Logistics

9.6.1. Main Characteristics
9.6.2. Keys Factors of Digitization

9.7. Digitalization of the Tertiary Sector: Tourism

9.7.1. Main Characteristics
9.7.2. Keys Factors of Digitization

9.8. Digitization of the Tertiary Sector: Fintech

9.8.1. Main Characteristics
9.8.2. Keys Factors of Digitization

9.9. Digitalization of the Tertiary Sector: Mobility

9.9.1. Main Characteristics
9.9.2. Keys Factors of Digitization

9.10. Future Technological Tendencies

9.10.1. New Technological Innovations
9.10.2. Application Trends

Module 10. Internet of Things (IoT)

10.1. Cyber-Physical Systems (CPS) in the Industry 4.0 Vision

10.1.1. Internet of Things (IoT)
10.1.2. Components Involved in IoT
10.1.3. Cases and Applications of IoT

10.2. Internet of Things and Cyber-Physical Systems

10.2.1. Computing and Communication Capabilities to Physical Objects
10.2.2. Sensors, Data and Elements in Cyber-Physical Systems

10.3. Device Ecosystem

10.3.1. Typologies, Examples and Uses
10.3.2. Applications of the Different Devices

10.4. IoT Platforms and their Architecture

10.4.1. IoT Market Typologies and Platforms
10.4.2. Operation of an IoT Platform

10.5. Digital Twins

10.5.1. Digital Twins
10.5.2. Uses and Applications the Digital Twin

10.6. Indoor & Outdoor Geolocation (Real Time Geospatial)

10.6.1. Indoor and Outdoor Geolocation Platforms
10.6.2. Implications and Challenges of Geolocation in an IoT Project

10.7. Security Intelligence Systems

10.7.1. Typologies and Platforms for Security Systems Implementation
10.7.2. Components and Architectures in Intelligent Safety Systems

10.8. IoT and IIoT Platform Security

10.8.1. Security Components in an IoT System
10.8.2. IoT Security Implementation Strategies

10.9. Wearables at Work

10.9.1. Types of Wearables in Industrial Environments
10.9.2. Lessons Learned and Challenges in Implementing Wearables in the Workplace

10.10. Implementing an API to Interact with a Platform

10.10.1. Types of APIs Involved in an IoT Platform
10.10.2. API Market
10.10.3. Strategies and Systems to Implement API Integrations

Module 11. Leadership, Ethics and Social Responsibility in Companies

11.1. Globalization and Governance

11.1.1. Governance and Corporate Governance
11.1.2. The Fundamentals of Corporate Governance in Companies
11.1.3. The Role of the Board of Directors in  the Corporate Governance Framework

11.2. Leadership

11.2.1. Leadership A Conceptual Approach
11.2.2. Leadership in Companies
11.2.3. The Importance of Leaders in Business Management

11.3. Cross Cultural Management

11.3.1. Cross Cultural Management Concept
11.3.2. Contributions to Knowledge of National Cultures
11.3.3. Diversity Management

11.4. Management and Leadership Development

11.4.1. Concept of Management Development
11.4.2. Concept of Leadership
11.4.3. Leadership Theories
11.4.4. Leadership Styles
11.4.5. Intelligence in Leadership
11.4.6. The Challenges of Today's Leader

11.5. Business Ethics

11.5.1. Ethics and Morality
11.5.2. Business Ethics
11.5.3. Leadership and Ethics in Companies

11.6. Sustainability

11.6.1. Sustainability and Sustainable Development
11.6.2. The 2030 Agenda
11.6.3. Sustainable Companies

11.7. Corporate Social Responsibility

11.7.1. International Dimensions of Corporate Social Responsibility
11.7.2. Implementing Corporate Social Responsibility
11.7.3. The Impact and Measurement of Corporate Social Responsibility

11.8. Responsible Management Systems and Tools

11.8.1. CSR: Corporate Social Responsibility
11.8.2. Essential Aspects for Implementing a Responsible Management Strategy
11.8.3. Steps for the Implementation of a Corporate Social Responsibility Management System
11.8.4. CSR Tools and Standards

11.9. Multinationals and Human Rights

11.9.1. Globalization, Multinational Companies and Human Rights
11.9.2. Multinational Corporations and International Law
11.9.3. Legal Instruments for Multinationals in the Area of Human Rights

11.10.  Legal Environment and Corporate Governance

11.10.1. International Rules on Importation and Exportation
11.10.2. Intellectual and Industrial Property
11.10.3. International Labor Law

Module 12. People and Talent Management

12.1. Strategic People Management

12.1.1. Strategic Human Resources Management
12.1.2. Strategic People Management

12.2. Human Resources Management by Competencies

12.2.1. Analysis of the Potential
12.2.2. Remuneration Policy
12.2.3. Career/Succession Planning

12.3. Performance Evaluation and Performance Management

12.3.1. Performance Management
12.3.2. Performance Management: Objectives and Process

12.4. Innovation in Talent and People Management

12.4.1. Strategic Talent Management Models
12.4.2. Talent Identification, Training and Development
12.4.3. Loyalty and Retention
12.4.4. Proactivity and Innovation

12.5. Motivation

12.5.1. The Nature of Motivation
12.5.2. Expectations Theory
12.5.3. Needs Theory
12.5.4. Motivation and Financial Compensation

12.6. Developing High Performance Teams

12.6.1. High-Performance Teams: Self-Managed Teams
12.6.2. Methodologies for the Management of High Performance Self-Managed Teams

12.7. Change Management

12.7.1. Change Management
12.7.2. Type of Change Management Processes
12.7.3. Stages or Phases in the Change Management Process

12.8. Negotiation and Conflict Management

12.8.1. Negotiation
12.8.2. Conflict Management
12.8.3. Crisis Management

12.9. Executive Communication

12.9.1. Internal and External Communication in the Corporate Environment
12.9.2. Communication Departments
12.9.3. The Person in Charge of Communication of the Company The Profile of the Dircom

12.10. Productivity, Attraction, Retention and Activation of Talent

12.10.1. Productivity
12.10.2. Talent Attraction and Retention Levers

Module 13. Economic and Financial Management

13.1. Economic Environment

13.1.1. Macroeconomic Environment and the National Financial System
13.1.2. Financial Institutions
13.1.3. Financial Markets
13.1.4. Financial Assets
13.1.5. Other Financial Sector Entities

13.2. Executive Accounting

13.2.1. Basic Concepts
13.2.2. The Company's Assets
13.2.3. The Company's Liabilities
13.2.4. The Company's Net Worth
13.2.5. The Income Statement

13.3. Information Systems and Business Intelligence

13.3.1. Fundamentals and Classification
13.3.2. Cost Allocation Phases and Methods
13.3.3. Choice of Cost Center and Impact

13.4. Budget and Management Control

13.4.1. The Budget Model
13.4.2. The Capital Budget
13.4.3. The Operating Budget
13.4.5. Treasury Budget
13.4.6. Budget Monitoring

13.5. Financial Management

13.5.1. The Company's Financial Decisions
13.5.2. Financial Department
13.5.3. Cash Surpluses
13.5.4. Risks Associated with Financial Management
13.5.5. Financial Administration Risk Management

13.6. Financial Planning

13.6.1. Definition of Financial Planning
13.6.2. Actions to be Taken in Financial Planning
13.6.3. Creation and Establishment of the Business Strategy
13.6.4. The Cash Flow Table
13.6.5. The Working Capital Table

13.7. Corporate Financial Strategy

13.7.1. Corporate Strategy and Sources of Financing
13.7.2. Financial Products for Corporate Financing

13.8. Strategic Financing

13.8.1. Self-Financing
13.8.2. Increase in Equity
13.8.3. Hybrid Resources
13.8.4. Financing Through Intermediaries

13.9. Financial Analysis and Planning

13.9.1. Analysis of the Balance Sheet
13.9.2. Analysis of the Income Statement
13.9.3. Profitability Analysis

13.10. Analyzing and Solving Cases/Problems

13.10.1.  Financial Information on Industria de Diseño y Textil, S.A. (INDITEX)

Module 14. Economic and Financial Management

14.1. Commercial Management

14.1.1. Conceptual Framework of Commercial Management
14.1.2. Business Strategy and Planning
14.1.3. The Role of Sales Managers

14.2. Marketing

14.2.1. The Concept of Marketing
14.2.2. Basic Elements of Marketing
14.2.3. Marketing Activities of the Company

14.3. Strategic Marketing Management

14.3.1. The Concept of Strategic Marketing
14.3.2. Concept of Strategic Marketing Planning
14.3.3. Stages in the Process of Strategic Marketing Planning

14.4. Digital Marketing and e-Commerce

14.4.1. Digital Marketing and E-commerce Objectives
14.4.2. Digital Marketing and Media Used
14.4.3. E-Commerce General Context
14.4.4. Categories of E-commerce
14.4.5. Advantages and Disadvantages of E-commerce Versus Traditional Commerce

14.5. Digital Marketing to Reinforce a Brand

14.5.1. Online Strategies to Improve Your Brand's Reputation
14.5.2. Branded Content and Storytelling

14.6. Digital Marketing to Attract and Retain Customers

14.6.1. Loyalty and Engagement Strategies through the Internet
14.6.2. Visitor Relationship Management
14.6.3. Hypersegmentation

14.7. Managing Digital Campaigns

14.7.1. What is a Digital Advertising Campaign?
14.7.2. Steps to Launch an Online Marketing Campaign
14.7.3. Mistakes in Digital Advertising Campaigns

14.8. Sales Strategy

14.8.1. Sales Strategy
14.8.2. Sales Methods

14.9. Corporate Communication

14.9.1. Concept
14.9.2. The Importance of Communication in the Organization
14.9.3. Type of Communication in the Organization
14.9.4. Functions of Communication in the Organization
14.9.5. Elements of Communication
14.9.6. Communication Problems
14.9.7. Communication Scenarios

14.10. Digital Communication and Reputation

14.10.1. Online Reputation
14.10.2. How to Measure Digital Reputation?
14.10.3. Online Reputation Tools
14.10.4. Online Reputation Report
14.10.5. Online Branding

Module 15. Executive Management

15.1. General Management

15.1.1. The Concept of General Management
15.1.2. The Role of the CEO
15.1.3. The CEO and their Responsibilities
15.1.4. Transforming the Work of Management

15.2. Manager Functions: Organizational Culture and Approaches

15.2.1. Manager Functions: Organizational Culture and Approaches

15.3. Operations Management

15.3.1. The Importance of Management
15.3.2. Value Chain
15.3.3. Quality Management

15.4. Public Speaking and Spokesperson Education

15.4.1. Interpersonal Communication
15.4.2. Communication Skills and Influence
15.4.3. Communication Barriers

15.5. Personal and Organizational  Communications Tools

15.5.1. Interpersonal Communication
15.5.2. Interpersonal Communication Tools
15.5.3. Communication in the Organization
15.5.4. Tools in the Organization

15.6. Communication in Crisis Situations

15.6.1. Crisis
15.6.2. Phases of the Crisis
15.6.3. Messages: Contents and Moments

15.7. Preparation of a Crisis Plan

15.7.1. Analysis of Possible Problems
15.7.2. Planning
15.7.3. Adequacy of Personnel

15.8. Emotional Intelligence

15.8.1. Emotional Intelligence and Communication
15.8.2. Assertiveness, Empathy, and Active Listening
15.8.3. Self-Esteem and Emotional Communication

15.9. Personal Branding

15.9.1. Strategies for Personal Brand Development
15.9.2. Personal Branding Laws
15.9.3. Tools for Creating Personal Brands

15.10. Leadership and Team Management

15.10.1. Leadership and Leadership Styles
15.10.2. Leader Capabilities and Challenges
15.10.3. Managing Change Processes
15.10.4. Managing Multicultural Teams

A unique, key and decisive training experience to boost your professional development”