Identify the statistical and probability skills you need for data management”

For computer engineers, this Postgraduate certificate in Data and Information Management and Manipulation in Data Science is an excellent opportunity to learn about the different techniques, technologies and tools that are capable of analyzing, synthesizing and extracting the knowledge hidden in data.

As the program progresses, specialized knowledge for data management will be established, including typology and life cycle. This will be achieved by means of a practical approach and available resources, such as real cases and updated information.

This program is available in a completely online format, making it easy to adapt to student schedules. It also has a teaching staff specialized in the field and provides valuable knowledge to the module that makes up the Postgraduate certificate.

Determine the best practices for data management according to typology and use”

This Postgraduate certificate in Data and Information Management and Manipulation in Data Science contains the most complete and up-to-date academic program on the market. 

• The most important features of the program 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 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
• Access to content from any fixed or portable device with an Internet connection

Establish the conditions that must be met and replicated to optimize data utilization and quality”  

The program’s teaching staff includes professionals from sector who contribute their work experience to this training 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 training programmed to train in real situations. 

The design of this program focuses on Problem-Based Learning, which means the student must try to solve the different real-life situations of that arise throughout the academic program. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts. 

Ensure security and availability: Information availability, integrity and confidentiality”

Build your career in a sector that demands high-level professionals”

The Postgraduate certificate in Data and Information Management and Manipulation in Data Science will help students gain an in-depth understanding of statistics and probability that will enable them to add value to the data they obtain from their company department. Thus will the objectives of the program to train professional, integral and prestigious engineers be fulfilled.

It's time to make a positive change in your work environment. Identify the tools you need to add value to your data”

MModule 1. Data Management, Data Manipulation and Information Management for Data Science

1.1. Statistics: Variables, Indexes and Ratios  

1.1.1. Statistics 
1.1.2. Statistical Dimensions 
1.1.3. Variables, Indexes and Ratios 

1.2. Type of Data 

1.2.1. Qualitative 
1.2.2. Quantitative 
1.2.3. Characterization and Categories 

1.3. Data Knowledge from the Measurements  

1.3.1. Centralization Measurements 
1.3.2. Measures of Dispersion
1.3.3. Correlation 

1.4. Data Knowledge from the Graphs

1.4.1. Visualization According to Type of Data 
1.4.2. Interpretation of Graphic Information 
1.4.3. Customization of graphics with R 

1.5. Probability  

1.5.1. Probability 
1.5.2. Function of Probability 
1.5.3. Distributions 

1.6. Data Collection 

1.6.1. Methodology of Data Collection 
1.6.2. Data Collection Tools 
1.6.3. Data Collection Channels 

1.7. Data Cleaning 

1.7.1. Phases of Data Cleansing 
1.7.2. Data Quality  
1.7.3. Data Manipulation (with R) 

1.8. Data Analysis, Interpretation and Evaluation of Results  

1.8.1. Statistical Measures 
1.8.2. Relationship Indices 
1.8.3. Data Mining 

1.9. Data Warehouse 

1.9.1. Components  
1.9.2. Design 

1.10. Data Availability 

1.10.1. Access 
1.10.2. Uses 
1.10.3. Security

Train yourself to be a computer engineer on par with the top professionals in the sector and produce relevant information”