Curso de Data Mining

Curso de Data Mining

Capacitación en Minería de Datos (Data Mining). Los cursos locales de capacitación en minería de datos demuestran a través de la práctica práctica los fundamentos de la minería de datos, sus fuentes de métodos que incluyen inteligencia artificial, aprendizaje automático, estadísticas y sistemas de bases de datos, y su uso y aplicaciones La capacitación en minería de datos está disponible como "capacitación en vivo en el sitio" o "capacitación remota en vivo" El entrenamiento en vivo in situ se puede llevar a cabo localmente en las instalaciones del cliente en Venezuela o en los centros de capacitación corporativa de NobleProg en Venezuela La capacitación remota en vivo se lleva a cabo a través de un escritorio remoto interactivo NobleProg Su proveedor local de capacitación.

Testimonios

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Programa del curso Data Mining

CódigoNombreDuraciónInformación General
smtwebintSemantic Web Overview7 horasThe Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
rintrobIntroductory R for Biologists28 horasR is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.
foundrFoundation R7 horasThe objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
monetdbMonetDB28 horasMonetDB is an open-source database that pioneered the column-store technology approach.

In this instructor-led, live training, participants will learn how to use MonetDB and how to get the most value out of it.

By the end of this training, participants will be able to:

- Understand MonetDB and its features
- Install and get started with MonetDB
- Explore and perform different functions and tasks in MonetDB
- Accelerate the delivery of their project by maximizing MonetDB capabilities

Audience

- Developers
- Technical experts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
datavaultData Vault: Building a Scalable Data Warehouse28 horasData vault modeling is a database modeling technique that provides long-term historical storage of data that originates from multiple sources. A data vault stores a single version of the facts, or "all the data, all of the time". Its flexible, scalable, consistent and adaptable design encompasses the best aspects of 3rd normal form (3NF) and star schema.

In this instructor-led, live training, participants will learn how to build a Data Vault.

By the end of this training, participants will be able to:

- Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
- Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse
- Develop a consistent and repeatable ETL (Extract, Transform, Load) process
- Build and deploy highly scalable and repeatable warehouses

Audience

- Data modelers
- Data warehousing specialist
- Business Intelligence specialists
- Data engineers
- Database administrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
PentahoDIPentaho Data Integration Fundamentals21 horasPentaho Data Integration is an open-source data integration tool for defining jobs and data transformations.

In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle, maximizing the value of data to the organization.

By the end of this training, participants will be able to:

- Create, preview, and run basic data transformations containing steps and hops
- Configure and secure the Pentaho Enterprise Repository
- Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
- Provide results to third-part applications for further processing

Audience

- Data Analyst
- ETL developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
kddKnowledge Discovery in Databases (KDD)21 horasKnowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.

In this course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.

Audience
Data analysts or anyone interested in learning how to interpret data to solve problems

Format of the course
After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
processminingProcess Mining21 horasProcess mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency.

Format of the course
The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.

Audience
Data science professionals
Anyone interested in understanding and applying process modeling and data mining
dsbdaData Science for Big Data Analytics35 horasBig data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.
datavis1Data Visualization28 horasThis course is intended for engineers and decision makers working in data mining and knoweldge discovery.

You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.
dmmlrData Mining & Machine Learning with R14 horasR is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.
datamaData Mining and Analysis 28 horasObjective:

Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.
psrIntroduction to Recommendation Systems7 horasAudience

Marketing department employees, IT strategists and other people involved in decisions related to the design and implementation of recommender systems.

Format

Short theoretical background follow by analysing working examples and short, simple exercises.
dataproData Protection35 horasThis is an Instructor led course, and is the non-certification version of the "[CDP - Certificate in Data Protection](/cc/cdp)" course

Those experienced in data protection issues, as well as those new to the subject, need to be trained so that their organisations are confident that legal compliance is continually addressed. It is necessary to identify issues requiring expert data protection advice in good time in order that organisational reputation and credibility are enhanced through relevant data protection policies and procedures.

Objectives:

The aim of the syllabus is to promote an understanding of how the data protection principles work rather than simply focusing on the mechanics of regulation. The syllabus places the Act in the context of human rights and promotes good practice within organisations. On completion you will have:

- an appreciation of the broader context of the Act.
- an understanding of the way in which the Act and the Privacy and Electronic Communications (EC Directive) Regulations 2003 work
- a broad understanding of the way associated legislation relates to the Act
- an understanding of what has to be done to achieve compliance

Course Synopsis:

The syllabus comprises three main parts, each sub-sections.

- Context - this will address the origins of and reasons for the Act together with consideration of privacy in general.
- Law – Data Protection Act - this will address the main concepts and elements of the Act and subordinate legislation.
- Application - this will consider how compliance is achieved and how the Act works in practice.
osqlideOracle SQL Intermediate - Data Extraction14 horasThe objective of the course is to enable participants to gain a mastery of how to work with the SQL language in Oracle database for data extraction at intermediate level.
datashrinkgovData Shrinkage for Government14 horasThe objective of the course is to enable participants to gain a mastery of the fundamentals of data shrinkage for government.
pmmlPredictive Models with PMML7 horasThe course is created to scientific, developers, analysts or any other people who want to standardize or exchange their models with Predictive Model Markup Language (PMML) file format.
dataminrData Mining with R14 horasR is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.
d2dbdpaFrom Data to Decision with Big Data and Predictive Analytics21 horasAudience

If you try to make sense out of the data you have access to or want to analyse unstructured data available on the net (like Twitter, Linked in, etc...) this course is for you.

It is mostly aimed at decision makers and people who need to choose what data is worth collecting and what is worth analyzing.

It is not aimed at people configuring the solution, those people will benefit from the big picture though.

Delivery Mode

During the course delegates will be presented with working examples of mostly open source technologies.

Short lectures will be followed by presentation and simple exercises by the participants

Content and Software used

All software used is updated each time the course is run so we check the newest versions possible.

It covers the process from obtaining, formatting, processing and analysing the data, to explain how to automate decision making process with machine learning.
dataminData Mining21 horasCourse can be provided with any tools, including free open-source data mining software and applications
sspsspasStatistics with SPSS Predictive Analytics Software14 horasGoal:

Learning to work with SPSS at the level of independence

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and learn popular data mining techniques.
mdlmrahModel MapReduce and Apache Hadoop14 horasThe course is intended for IT specialist that works with the distributed processing of large data sets across clusters of computers.
pentahoPentaho Open Source BI Suite Community Edition (CE)28 horasPentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.

In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).

By the end of this training, participants will be able to:

- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE

Audience

- Programmers
- BI Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

Próximos Cursos Data Mining

CursoFechaPrecio del Curso [A distancia / Presencial]
Model MapReduce and Apache Hadoop - Caracas - Centro LidoJue, 2018-11-15 09:303,659USD / 4,738USD
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Promociones

Curso Ubicación Fecha Precio del Curso [A distancia / Presencial]
Fundamentos de Haskell Caracas - Centro Lido Jue, 2018-09-27 09:30 2,743USD / 3,823USD
Docker para Desarrolladores y Administradores de Sistemas Caracas - Centro Lido Jue, 2018-10-11 09:30 2,743USD / 3,823USD
Gestión de Reglas de Negocios (BRMS) con Drools Caracas - Centro Lido Mar, 2018-10-16 09:30 1,796USD / 2,862USD
Drupal y Solr Caracas - Centro Lido Mar, 2018-10-16 09:30 2,743USD / 3,823USD
Marco de Arquitectura Unificado de OMG (UAF) Caracas - Centro Lido Lun, 2018-11-05 09:30 6,629USD / 7,747USD

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