Develop your skills as a computer engineer in Data Science and Data Mining” 

This postgraduate certificate will analyze the theoretical bases that help computer engineers develop advanced knowledge about the different existing data preparation techniques for data cleaning, normalization and transformation. It will also present the necessary tools to evaluate different methodologies in search of errors that may cause problems in the work environment.

The entire program is composed of a series of case studies that will favor the learning of students who seek to further advance their professional careers and challenge themselves to achieve excellence.

All this will be feasible thanks to a 100% online program, which adapts to the daily needs of its students. You will only need a device with an Internet connection to start developing a complete professional profile with international projection.  

Evaluate the various methodologies presented to identify advantages and drawbacks”  

This postgraduate certificate in Data Mining Processing and Transformation 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 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  

Develop the necessary skills for data identification, preparation and transformation” 

The program’s teaching staff includes professionals from the 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. This will be done with the help of an innovative, interactive video system developed by renowned experts with extensive experience in Data Mining Processing and Transformation.

Specify effective and efficient procedures for data processing according to the type of problem presented"

Turn your career around and start developing in-company improvement strategies"

The knowledge provided on this program will help computer engineers approach the analysis prior to applying machine learning techniques with the objective of extracting the maximum value from the data. That way, they will be able to gain specialized knowledge based on statistical analysis. To that end, TECH has established the following general and specific objectives.

Demonstrate your ability to interpret data visualization for descriptive analysis” 

General Objectives

• Analyze the benefits of applying data analytic techniques in every company department  
• Develop the basis for understanding the needs and applications of each department  
• Generate specialized knowledge to select the right tool  
• Propose techniques and objectives in order to be as productive as possible according to the department  

Specific Objectives

• Generate specialized knowledge about the statistical prerequisites for any data analysis and evaluation 
• Develop the necessary skills for data identification, preparation and transformation 
• Evaluate the various methodologies presented and identify advantages and drawbacks 
• Examine the problems in high dimensional data environments 
• Implement algorithms used for data preprocessing 
• Demonstrate the ability to interpret data visualization for descriptive analysis 
• Develop advanced knowledge of the different existing data preparation techniques for data cleaning, normalization and transformation  

Examine the problems in your work environment and find viable solutions using data as the basis for your proposals”