You will understand how to predict the future behavior or performance of processes, activities and operations related to data. With this Postgraduate certificate"

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 center for intensive managerial skills education.   

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 balances 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 prepared 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’s 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 methodology (the most internationally recognized postgraduate learning methodology) with Harvard Business School case studies. A complex balance of traditional and state-of-the-art methods, within the most demanding academic framework.   

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 analyses in academia” 

The Postgraduate certificate in Deep Learning in Data Mining has been designed for the agile learning of data mining processes, focusing on the learning part. Structured each topic from the precise to the descriptive. Special focus on the last topics, neural networks and their evolution to deep learning and its applications in the real world. An innovative digital learning system, based on directed reiteration, is applied. Combine pedagogical rigor, academic demand and the latest educational technology to the maximum, providing excellent results.

With the most up-to-date, expertly chosen content you will understand how algorithms work in data mining"

Syllabus

When a company has large amounts of data that exceed the capacity of human analysis, it is necessary to make use of the technologies that are now available in order to interpret, understand and draw conclusions from data in an intelligent way. In other words, large volumes of data require artificial cognitive systems that can help professionals make the best decisions.

Artificial intelligence is the ideal complement to business intelligence in the enterprise environment. Address the process of data mining with a focus on the learning part is the objective of this certificate in Deep Learning in Data Mining.

The study of the different types of learning that exist. As well as the interpretation and evaluation of data for selection and preprocessing. Knowledge of the different types of assemblies, in addition to establishing the foundations of probabilistic reasoning, is part of the syllabus of this program.

Through a secure platform, with the implementation of a 100% online methodology, each of the topics will be developed in depth, chosen in a precise way by a team of expert teachers. Finally, the study of neural networks and their evolution until reaching deep learning and its applications in the real world.

This Postgraduate certificate is developed over 6 week and is divided into 1 module:

Module 1. Data Mining: from Machine Learning to Deep Learning

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate certificate in Data Mining Processing and Transformation completely online. During the 6 weeks of the specialization, the student will be able to access all the contents of this program at any time, which will allow the students to self-manage their study time.

Module 1. Data Mining: from Machine Learning to Deep Learning

1.1. Knowledge from Data (KDD)

1.1.1. Selection
1.1.2. Pre-processing
1.1.3. Transformation
1.1.4. Data Mining
1.1.5. Interpretation and evaluation

1.2. Machine Learning

1.2.1. Supervised Learning
1.2.2. Unsupervised Learning
1.2.3. Reinforcement Learning
1.2.4. Other Learning Paradigms

1.3. Classification of Supervised Learning

1.3.1. Decision Trees
1.3.2. Rules-Based Learning
1.3.3. Support Vector Machines(SVM)
1.3.4. Nearest neighbor algorithms
1.3.5. Metrics

1.4. Regression in Supervised Learning

1.4.1. Linear Regression
1.4.2. Logistic Regression
1.4.3. Non-linear models
1.4.4. Time Series
1.4.5. Metrics

1.5. Clustering in Supervised Learning

1.5.1. Hierarchical Clustering
1.5.2. Distance-based clustering. Partitional
1.5.3. Density-based clustering. Partitional
1.5.4. Metrics

1.6. Association Rules in Supervised Learning

1.6.1. Rules of Association. Measurements
1.6.2. Rule Extraction Methods
1.6.3. Metrics

1.7. Assemblies

1.7.1. Bagging
1.7.2. Random Forests
1.7.3. Boosting

1.8. Probabilistic reasoning

1.8.1. Probabilistic reasoning
1.8.2. Bayesian Networks
1.8.3. Hidden Markov Models

1.9. Artificial Neural Networks

1.9.1. Multilayer Perceptron
1.9.2. Regression and Classification
1.9.3. Gradient Descent
1.9.4. Backpropagation
1.9.5. Activation Functions
1.9.6. Example of feedforward type neural network

1.10. Deep Learning

1.10.1. Feedforward type Deep Neural Networks
1.10.2. Convolutional Neural Networks
1.10.3. Recurrent and Recursive Neural Networks
1.10.4. Tools for programming Deep Neural Networks

Learn more about the advantages of Artificial Intelligence to examine data effectively. And apply it to your business models"