Місцеві, інструктор під керівництвом даних курсів гірничої підготовки демонструють через практичний практиці основи інтелектуального аналізу даних, його джерел, у тому числі штучного інтелекту, Машинне навчання, статистику та системи баз даних, а також його використання і Додатків.
Підготовка інтелектуального аналізу даних доступна як "на місці навчання" або "дистанційне навчання в прямому ефірі". На місці навчання в прямому ефірі може здійснюватися на місцевому рівні в україні або в Неbleprog корпоративні навчальні центри в україні. Дистанційне навчання в прямому ефірі здійснюється шляхом інтерактивного, віддаленого робочого стола.
Nobleпрога-ваш місцевий навчальний провайдер
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Відгуки
Діапазон матеріалів
Maciej Jonczyk
Курси: From Data to Decision with Big Data and Predictive Analytics
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Систематизація знань в області ML
Orange Polska
Курси: From Data to Decision with Big Data and Predictive Analytics
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Багато питань, які можуть бути вивчені після тренування
Klaudia Kłębek
Курси: Data Mining z wykorzystaniem R
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Тренер був настільки добре обізнаний і включив області я був зацікавлений.
Mohamed Salama
Курси: Data Mining & Machine Learning with R
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Дуже пристосована до потреб.
Yashan Wang
Курси: Data Mining with R
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Мені подобається вправи зробили.
Nour Assaf
Курси: Data Mining and Analysis
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Практичний вправи і тренер здатності пояснювати складні теми простими термінами.
youssef chamoun
Курси: Data Mining and Analysis
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Надана інформація була цікавою і найкраща частина була до кінця, коли ми були надані дані з Durex і працював над даними, які ми знайомі з і виконувати операції, щоб отримати результати.
Jessica Chaar
Курси: Data Mining and Analysis
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Я думала, що інформація була цікава.
Allison May
Курси: Data Visualization
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Я дійсно оцінив, що Джефф використовував дані і приклади, які були застосовні до освітніх даних. Він зробив це цікавим і інтерактивним.
Carol Wells Bazzichi
Курси: Data Visualization
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Дізнатися про всі типи діаграм і для чого вони використовуються. Вивчення вартості захаращення. Дізнатися про методи відображення даних часу.
Susan Williams
Курси: Data Visualization
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Тренер був ентузіазм.
Diane Lucas
Курси: Data Visualization
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Мені дуже сподобався контент/інструктор.
Craig Roberson
Курси: Data Visualization
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Я практичний учень, і це було те, що він зробив багато.
Lisa Comfort
Курси: Data Visualization
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Мені сподобалися приклади.
Peter Coleman
Курси: Data Visualization
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Мені сподобалися приклади.
Peter Coleman
Курси: Data Visualization
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Мені подобалося хороший реальний прикладів світу, огляди існуючих доповідей.
Ronald Parrish
Курси: Data Visualization
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Приклади вправ, обмін практичним досвідом роботи
澳新银行
Курси: Data Vault: Building a Scalable Data Warehouse
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Знання вчителя щодо сховища даних є дуже всеосяжним, хваліть!
澳新银行
Курси: Data Vault: Building a Scalable Data Warehouse
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Вчитель пояснив деталі та обговорив атмосферу.
澳新银行
Курси: Data Vault: Building a Scalable Data Warehouse
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Приклад і навчальний матеріал було достатньо і було легко зрозуміти, що ви робите.
Teboho Makenete
Курси: Data Science for Big Data Analytics
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Стиль навчання Річарда зберіг це цікаво, реальний світ прикладів, використовуваних допомогли керувати поняттями будинку.
Jamie Martin-Royle - NBrown Group
Курси: From Data to Decision with Big Data and Predictive Analytics
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Зміст, як я знайшов це дуже цікаво і думаю, що це допоможе мені в моєму останньому році в університеті.
Krishan Mistry - NBrown Group
Курси: From Data to Decision with Big Data and Predictive Analytics
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Практичне застосування, допомагаючи прояснити багато різних сумнівів
SGB-Bank S.A.
Курси: Data Vault: Building a Scalable Data Warehouse
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Ємність інструмента
Gerardo Avila - Reckitt Benckizer
Курси: KNIME Analytics Platform for BI
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ВИВЧЕННЯ НОВОГО ІНСТРУМЕНТА
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Курси: KNIME Analytics Platform for BI
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Мені дуже сподобалося все найкраще.
Halil polat - Amazon Development Center Poland Sp. z o.o.
Курси: Data Mining and Analysis
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Тренер зосередився на ключових темах.
Amazon Development Center Poland Sp. z o.o.
Курси: Data Mining and Analysis
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Експертиза і величезне знання тренера.
Amazon Development Center Poland Sp. z o.o.
Курси: Data Mining and Analysis
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Я отримав вигоду від керівництва і обмін прикладами життя + відповідаючи на всі питання.
Marta Melloch - Amazon Development Center Poland Sp. z o.o.
Курси: Data Mining and Analysis
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Мені дуже подобалося вивчати нові і цікаві речі.
SIVECO Romania SA
Курси: Data Mining
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Я отримав вигоду з хороших прикладів і можливість слідувати уздовж.
Environmental and Climate Change Canada
Курси: Foundation R
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Я щиро користувався руками пройшли вправ.
Yunfa Zhu - Environmental and Climate Change Canada
Курси: Foundation R
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Тренер був дуже стурбованості з приводу індивідуального розуміння.
Muhammad Surajo Sanusi - Birmingham City University
Курси: Foundation R
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Excel надав презентацію, і це дає мені впевненість, що будуватися на отриманих знаннях.
Birmingham City University
Курси: Foundation R
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Основні знання та «походження» тренера.
Francis McGonigal - Birmingham City University
Курси: Foundation R
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Ресурси
Hafiz Rana - Birmingham City University
Курси: Foundation R
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Go пояснення того, як ми робимо речі
Birmingham City University
Курси: Foundation R
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Я відчуваю більше впевненості в кодуванні зараз. Я ніколи цього не робив раніше, але тепер я розумію, що це не ракетна наука, і я можу це робити, коли це необхідно.
Anna Yartseva - Birmingham City University
Курси: Foundation R
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Дуже добре передані знання вчителем. Без відповідей без запитання.
Karolin Papaj - Mowi Poland SA
Курси: Data Mining and Analysis
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представлення у графічній формі та обговорення наступного кроку, який буде виконаний у SQL
Volkswagen Financial Services Polska Sp. z o.o.,
Курси: Data Vault: Building a Scalable Data Warehouse
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Data Mining Підкатегорії
Data Mining Зміст курсу
Назва курсу
Тривалість
Огляд
Назва курсу
Тривалість
Огляд
14 годин
Огляд
Goal:
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.
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.
21 годин
Огляд
Course can be provided with any tools, including free open-source data mining software and applications
21 годин
Огляд
Audience
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.
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.
14 годин
Огляд
R 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.
14 годин
Огляд
The 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.
28 годин
Огляд
Objective:
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.
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.
28 годин
Огляд
R 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.
14 годин
Огляд
R 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.
28 годин
Огляд
This 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.
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.
35 годин
Огляд
Big 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.
21 годин
Огляд
MATLAB is a numerical computing environment and programming language developed by MathWorks.
28 годин
Огляд
In this instructor-led, live training in україні, 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.
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.
28 годин
Огляд
MonetDB 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
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
7 годин
Огляд
The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
21 годин
Огляд
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
14 годин
Огляд
This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to implement more advanced data analytics techniques for data mining using Python.
By the end of this training, participants will be able to:
- Understand important areas of data mining, including association rule mining, text sentiment analysis, automatic text summarization, and data anomaly detection.
- Compare and implement various strategies for solving real-world data mining problems.
- Understand and interpret the results.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
By the end of this training, participants will be able to:
- Understand important areas of data mining, including association rule mining, text sentiment analysis, automatic text summarization, and data anomaly detection.
- Compare and implement various strategies for solving real-world data mining problems.
- Understand and interpret the results.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
35 годин
Огляд
KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To some extent as advanced analytics tool KNIME can be considered as a SAS alternative.
Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.
Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.
14 годин
Огляд
This instructor-led, live training in україні (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.
By the end of this training, participants will be able to:
- Use cluster analysis for data mining
- Master R syntax for clustering solutions.
- Implement hierarchical and non-hierarchical clustering.
- Make data-driven decisions to help to improve business operations.
By the end of this training, participants will be able to:
- Use cluster analysis for data mining
- Master R syntax for clustering solutions.
- Implement hierarchical and non-hierarchical clustering.
- Make data-driven decisions to help to improve business operations.
14 годин
Огляд
This instructor-led, live training in україні (online or onsite) is aimed at data scientists who wish to use Excel for data mining.
- By the end of this training, participants will be able to:
- Explore data with Excel to perform data mining and analysis.
- Use Microsoft algorithms for data mining.
- Understand concepts in Excel data mining.
- By the end of this training, participants will be able to:
- Explore data with Excel to perform data mining and analysis.
- Use Microsoft algorithms for data mining.
- Understand concepts in Excel data mining.
21 годин
Огляд
Pentaho 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 and maximize the value of data within their 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
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 and maximize the value of data within their 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
28 годин
Огляд
Pentaho 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.
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.
21 годин
Огляд
Knowledge 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 instructor-led, live 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.
In this instructor-led, live 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.
21 годин
Огляд
Process 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.
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.
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