Were you looking for a program that deals with clustering algorithms? With this course you will deepen in its application in omics techniques"

The analysis of large data sets makes it possible to identify patterns and correlations that might go unnoticed by doctors and other health professionals. This is crucial for improving diagnostic accuracy, enabling specialists to make more confident decisions about the treatment of patients. Similarly, this massive data processing helps to better understand the causes of certain diseases and to develop new therapies to address them.

Given that Big Data requires IT professionals to implement the different processes and programming, they will find with this TECH Postgraduate certificate a unique specialization that gathers the latest advances in this field of so much potential. Undoubtedly, a high preparation that will allow them to make a difference after analyzing data flows in biomedical research andHigh-throughput.technology.

Additionally, they will examine in detail the methods and approaches of data preprocessing in Big Data, and then delve into structural and functional genomics and transcriptomics. Students will have all this and more at their fingertips through an avant-garde program in which they will not have to spend a single day in on-site centers. In fact, they will be able to set their own academic times, always advised by great experts in this field.

The perfect opportunity to become proficient in transcriptomics mass data acquisition techniques such as RNA-seq"

This Postgraduate certificate in Big Data in Medicine, Massive Medical Data Processing contains the most complete and updated educational program on the market. It’s most outstanding features are: 

• The development of case studies presented by experts in Big Data in Medicine
• The graphic, schematic and eminently practical contents with which it is conceived gather technological and practical information on those disciplines that are essential for professional practice
• Practical exercises where the process of 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

Enroll to be part of a phenomenon that is streamlining medical care and the recording of diseases and their symptoms"

The program's faculty includes professionals in the field who bring to this training the experience of their work, as well as renowned specialists from reference societies 
and prestigious universities.

Its multimedia content, developed with the latest educational technology, will allow the professional a situated and contextual learning, that is, a simulated environment that will provide an immersive training programmed to train in real situations.

The design of this program focuses on Problem-Based Learning, in which the professional will have to try to solve the different professional practice situations that will arise throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.  

A highly comprehensive specialization in which you will increase your professional background by examining Interactomics and Epigenomics"

You will become a reference in the analysis of Mass Spectrometry data"

The syllabus of this program has a differential factor that positions this program over others: it has the most updated and comprehensive vision syllabus on this subject that the student can find in the market. The faculty has played a very important role in this, closely supervising each and every one of the topics so that not a single key concept is left behind. Likewise, the Postgraduate certificate has been designed in a very efficient way, so that in only 150 hours the student will have completed it, always under the high educational standards that are TECH's hallmark.

A unique syllabus in the market: access from your tablet or PC and examine all aspects of high performance data"

Module 1. Big Data in Medicine: Massive Medical Data Processing 

1.1. Big Data in Biomedical Research

1.1.1. Data Generation in Biomedicine
1.1.2. High-Throughput Technology
1.1.3. Uses of High-Throughput Data. Hypotheses in the Age of Big Data

1.2. Data Pre-Processing in Big Data

1.2.1. Data Pre-Processing
1.2.2. Methods and Approaches
1.2.3. Problems with Data Pre-Processing in Big Data

1.3. Structural Genomics

1.3.1. Sequencing the Human Genome
1.3.2. Sequencing vs. Chips
1.3.3. Variant Discovery

1.4. Functional Genomics

1.4.1. Functional Notation
1.4.2. Mutation Risk Predictors
1.4.3. Association Studies in Genomics

1.5. Transcriptomics

1.5.1. Techniques to Obtain Massive Data in Transcriptomics: RNA-seq
1.5.2. Data Normalization in Transcriptomics
1.5.3. Differential Expression Studies

1.6. Interactomics and Epigenomics

1.6.1. The Role of Cromatine in Gene Expression
1.6.2. High-Throughput Studies in Interactomics
1.6.3. High-Throughput Studies in Epigenetics

1.7. Proteomics

1.7.1. Analysis of Mass Spectrometry Data
1.7.2. Post-Translational Modifications Study
1.7.3. Quantitative Proteomics

1.8. Enrichment and Clustering Techniques

1.8.1. Contextualizing Results
1.8.2. Clustering Algorithms in Omics Techniques
1.8.3. Repositories for Enrichment: Gene Ontology and KEGG

1.9. Applying Big Data to Public Health

1.9.1. Discovery of New Biomarkers and Therapeutic Targets
1.9.2. Risk Predictors
1.9.3. Personalized Medicine

1.10. Big Data Applied to Medicine

1.10.1. Potential for Diagnostic and Preventive Assistance
1.10.2. Use of Machine Learning Algorithms in Public Health
1.10.3. The Problem of Privacy

Everything you need to know about the use of Machine Learning algorithms can be found in this program"