You will find suitable solutions that will allow you to address problems from the right perspective in each situation and become a key member of your team"

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”

Professional development can only be achieved with quality education. For this reason, TECHhas one of the most up-to-date and complete programs in the market, backed by a group of highly qualified and qualified teachers to provide security and the guarantee that the student will know firsthand all the skills needed to address various essential tasks in data analytics and the use of appropriate tools to ensure the growth and profitability of the business. In this way, the student will be able to spend six months learning in a unique and stimulating way.

Manages enterprise-wide business processes and manages customer relationships, using systems that increase the profitability of a business"

Syllabus

For any company it is important to have professionals who are able to carry out tasks of data storage, retrieval and processing. This specialization can only be achieved with high quality higher education. For this reason, TECH offers its students this program, thanks to which they will be able to perform various essential tasks in data analysis and summarize the information by presenting statistics and graphs that summarize the information in an appropriate manner.

On the other hand, finding the right tools, according to the needs of each company, is not an easy task. For this reason, this program will teach students to analyze two systems that, both together and separately, can help improve the company's productivity. ERP manages the business processes of the entire company, while CRM helps manage customer relationships. Both systems are implemented to increase profitability, but it is key to organize all relevant information from all departments and use it correctly to facilitate communication between areas and teams to improve decision making.

By the end of the program, the student will understand the term "big data" by analyzing the distribution systems of massive data use, detailing its characteristics and getting into the foundations. In such a way that, knowing the different options, as well as the advantages and disadvantages of the fundamental pieces of Big Data systems, they will be able to choose 
the best options in future designs.

In conclusion, the syllabus is designed for Students, focusing on the future graduate and preparing them to achieve excellence within a business team. By understanding the needs of the student and the companies, it is possible to present valuable content, based on the latest technological trends and supported by an excellent teaching staff. In this way, it provides the necessary competencies to solve critical situations in a creative and efficient way.

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

Module 1. Data manipulation and analytics using Python and R
Module 2. Business Information Systems - ERP & CRM
Module 3. Big Data systems and Hadoop ecosystem for its exploitation

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate diploma in Data Storage, Recovery and Processingg completely online. Throughout the 6 months of the educational program, 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 manipulation and analytics using Python and R

1.1. Python y R  

1.1.1. History and characteristics of languages
1.1.2. Python Setup
1.1.3. Installation of R
1.1.4. Other Tools 

1.2. Types of Data in Python  

1.2.1. Basic Types
1.2.2. Complex Types 
1.2.3. Data Operations
1.2.4. Control Structures
1.2.5. File Operations

1.3. Types of Data in R  

1.3.1. Basic Types
1.3.2. Complex Types 
1.3.3. Data Operations 
1.3.4. Control Structures
1.3.5. File Operations 

1.4. Information extraction and visualization with Python  

1.4.1. Main statistical summaries
1.4.2. Univariate Analysis
1.4.3. Multivariate Analysis

1.5. Information extraction and visualization with R 

1.5.1. Main statistical summaries
1.5.2. Univariate Analysis
1.5.3. Multivariate Analysis 

1.6. Corporate Social Responsibility in IT Projects

1.6.1. Outlier detection and analysis
1.6.2. Subsampling and resampling 
1.6.3. Dimensionality Reduction

1.7. Preprocessing in R

1.7.1. Outlier detection and analysis
1.7.2. Subsampling and resampling
1.7.3. Dimensionality Reduction  

1.8. Modeling in Python

1.8.1. Division of the Data Set
1.8.2. Basic modeling and main libraries
1.8.3. Prediction and evaluation of metrics 

1.9. Modeling in R

1.9.1. Division into data sets
1.9.2. Basic modeling and main libraries 
1.9.3. Prediction and evaluation of metrics

1.10. Language comparison

1.10.1. Strengths and weaknesses
1.10.2. Good Practices
1.10.3. Conclusion and Bookstores of Interest

Module 2. Business Information Systems - ERP & CRM

2.1. ERP and CRM 

2.1.1. ERP and CRM   
2.1.2. CRM   
2.1.3. Differences between ERP, CRM and point of sale  
2.1.4. ERP and CRM as drivers of business success 

2.2. ERP  

2.2.1. Benefits for our company 
2.2.2. ERP Implementation 
2.2.3. Latest ERP developments  

2.3. ERP as a resource optimizer 

2.3.1. Modules in an ERP system 
2.3.2. Information extracted from ERP 
2.3.3. Architecture 
2.3.4. Advantages and Disadvantages 
2.3.5. Types of ERP systems  

2.4. ERP Systems  

2.4.1. Current tools on the market 
2.4.2. The perfect ERP for our company 
2.4.3. Implementation and stages  

2.5. CRM: Customer Loyalty   

2.5.1. Current Situation 
2.5.2. Sales or Loyalty 
2.5.3. Customer Loyalty Profitability 
2.5.4. Customer marketing 
2.5.5. Program Types 
2.5.6. Success Factors 
2.5.7. E-loyalty. Multichannel strategy  

2.6. CRM:Creation and management of an information system   

2.6.1. Benefits of investing in an information system 
2.6.2. Design of the commercial information system 
2.6.3. Investment Strategies in Information Systems 

2.7. CRM: Communication actions with customers 

2.7.1. Communication
2.7.2. Hearing  

2.8. CRM: Detecting and recovering dissatisfied customers  

2.8.1. The danger of not asking 
2.8.2. Benefits of detecting errors 
2.8.3. How to correct and rectify errors 
2.8.4. How to win back the customer and design processesof continuous improvement  

2.9. CRM: Organization of events and special programs 

2.9.1. Objectives 
2.9.2. Design of an event 
2.9.3. Organization of an event 
2.9.4. Results Evaluation 

2.10. Implementation of a relationship marketing program

2.10.1. Most frequent implementation errors 
2.10.2. Implementation proposal methodology 
2.10.3. Segmentation
2.10.4. Benchmarking 
2.10.5. Processes 
2.10.6. Training
2.10.7. Systems 
2.10.8. Design of Loyalty Actions 
2.10.9. CRM Tools

Module 3. Big Data systems and Hadoop ecosystem for its exploitation

3.1. Massive data systems 

3.1.1. Scales  
3.1.2. Reliability 
3.1.3. Maintainability 

3.2. Data Representation  

3.2.1. Evolution of Data Models 
3.2.2. Comparison of the relational model with the document model 
3.2.3. Network Model 

3.3. Data Storage and Retrieval Engines 

3.3.1. Storage in file with log structure 
3.3.2. Storage in tables of sorted strings 
3.3.3. Trees B 

3.4. Data flow models and coding formats   

3.4.1. Data Flow in REST Services 
3.4.2. Data Flow in Message Passing 
3.4.3. Different message sending formats 

3.5. Replication

3.5.1. CAP Theorem 
3.5.2. Consistency Models 
3.5.3. Different models of leaders and followers 

3.6. Distributed Transactions 

3.6.1. Atomic Operations 
3.6.2. Distributed transactions for partitioned databases  
3.6.3. Serialisability  

3.7. Partitions

3.7.1. Types of Partitions 
3.7.2. Indexes in Partitions
3.7.3. Partition Rebalancing 

3.8. Big-Data Analysis: Hadoop  

3.8.1. Types of Partitions 
3.8.2. Indexes in Partitions
3.8.3. Partition Rebalancing

3.9. Big-Data analysis tools on Hadoop 

3.9.1. Types of Partitions 
3.9.2. Indexes in Partitions
3.9.3. Partition Rebalancing

3.10. Big Data and Machine Learning: Spark 

3.10.1. Limitations to the Hadoop model 
3.10.2. Architecture and data flow 
3.10.3. Data processing in Spark: operations with RDDs
3.10.4. Machine learning with Spark and Mahouts

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