A helyi, oktatói adatbányászati tréningek a Handson gyakorlatban bemutatják az adatbányászat alapjait, a módszerek forrásait, beleértve a mesterséges intelligenciát, a gépi tanulást, a statisztikát és az adatbázis-rendszereket, valamint annak használatát és alkalmazását Az adatbányászati tréning "helyszíni élő képzés" vagy "távoli élő képzés" formájában érhető el A helyszíni élő képzés helyi szinten valósulhat meg az ügyfél telephelyén Magyarország vagy a NobleProg vállalati oktatóközpontjaiban Magyarország A távoli élőképzés interaktív, távoli asztal segítségével történik NobleProg Az Ön Helyi Képzési Szolgáltatója.
Machine Translated
Vélemények
anyagválaszték
Maciej Jonczyk
Kurzus: From Data to Decision with Big Data and Predictive Analytics
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a tudás rendszerezése az ML területén
Orange Polska
Kurzus: From Data to Decision with Big Data and Predictive Analytics
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Sok olyan kérdés, amelyet a képzés után lehet feltárni Kl
Klaudia Kłębek
Kurzus: Data Mining z wykorzystaniem R
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A tréner annyira jól ismertté vált, és olyan területeket érintett, amelyekbe érdekelt.
Mohamed Salama
Kurzus: Data Mining & Machine Learning with R
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Nagyon igényeihez igazítva.
Yashan Wang
Kurzus: Data Mining with R
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Szeretem a gyakorlatokat.
Nour Assaf
Kurzus: Data Mining and Analysis
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A gyakorlati edzés és a tréner képessége egyszerűsített összetett témák megmagyarázására.
youssef chamoun
Kurzus: Data Mining and Analysis
Machine Translated
Az adott információ érdekes volt, és a legjobb rész a végén volt, amikor a Durex adatokkal rendelkeztünk, és olyan adatokkal dolgoztunk, amelyekről ismeretesek és műveletek végeztek, hogy eredményeket érjenek el.
Jessica Chaar
Kurzus: Data Mining and Analysis
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Úgy gondoltam, hogy az információ érdekes.
Allison May
Kurzus: Data Visualization
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Nagyra értékelem, hogy Jeff olyan adatokat és példákat használt fel, amelyek az oktatási adatokra vonatkoztak. Érdekes és interaktívvá tette.
Carol Wells Bazzichi
Kurzus: Data Visualization
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Tanulni az összes grafikon típusról és arról, hogy mire használják őket. Tanulás a zűrzavar értékéről. Tanulni az időadatok megjelenítési módszereiről.
Susan Williams
Kurzus: Data Visualization
Machine Translated
A tréner lelkes volt.
Diane Lucas
Kurzus: Data Visualization
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Nagyon tetszett a tartalom / oktató.
Craig Roberson
Kurzus: Data Visualization
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Praktikus tanuló vagyok, és ezt sok mindent megtett.
Lisa Comfort
Kurzus: Data Visualization
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Tetszett a példák.
Peter Coleman
Kurzus: Data Visualization
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Általában hasznot húzott a példák.
Peter Coleman
Kurzus: Data Visualization
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Élveztem a jó valós példákat, a meglévő jelentések áttekintését.
Ronald Parrish
Kurzus: Data Visualization
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Példa gyakorlatok; gyakorlati tapasztalat megosztása
澳新银行
Kurzus: Data Vault: Building a Scalable Data Warehouse
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Kocka és DV
Alan Xie
Kurzus: Data Vault: Building a Scalable Data Warehouse
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A tanár ismerete az adattárházról átfogó, és dicséri azt! -
澳新银行
Kurzus: Data Vault: Building a Scalable Data Warehouse
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A tanár részletesen kifejtette és megvitatta a hangulatot
澳新银行
Kurzus: Data Vault: Building a Scalable Data Warehouse
Machine Translated
A példa és a képzési anyagok elégségesek voltak, és könnyebb volt megérteni, hogy mit csinálsz.
Teboho Makenete
Kurzus: Data Science for Big Data Analytics
Machine Translated
Richard képzési stílusa érdekesnek tartotta, a valódi világ példái segítik a fogalmak otthont vezetni.
Jamie Martin-Royle - NBrown Group
Kurzus: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
A tartalom, mivel nagyon érdekesnek találtam, és azt hiszem, segítene nekem az egyetemen.
Krishan Mistry - NBrown Group
Kurzus: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
Gyakorlati alkalmazás, segít sokféle kétely megmagyarázásában
SGB-Bank S.A.
Kurzus: Data Vault: Building a Scalable Data Warehouse
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A szerszám kapacitása
Gerardo Avila - Reckitt Benckizer
Kurzus: KNIME Analytics Platform for BI
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Új eszköz megTanulása
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Kurzus: KNIME Analytics Platform for BI
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Nagyon élveztem az összes legjobb.
Halil polat - Amazon Development Center Poland Sp. z o.o.
Kurzus: Data Mining and Analysis
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A tréner a legfontosabb témákra koncentrált.
Amazon Development Center Poland Sp. z o.o.
Kurzus: Data Mining and Analysis
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Szakértelem és hatalmas tudás a tréner.
Amazon Development Center Poland Sp. z o.o.
Kurzus: Data Mining and Analysis
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Én is profitál a iránymutatást és megosztási élet példa + válaszol minden kérdésre.
Marta Melloch - Amazon Development Center Poland Sp. z o.o.
Kurzus: Data Mining and Analysis
Machine Translated
Nagyon élveztem a tanulás új és érdekes dolgokat.
SIVECO Romania SA
Kurzus: Data Mining
Machine Translated
Én is profitáltam a jó példákat és lehetőséget, hogy kövessék végig.
Environmental and Climate Change Canada
Kurzus: Foundation R
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Én valóban élveztem a kezek telt gyakorlatokat.
Yunfa Zhu - Environmental and Climate Change Canada
Kurzus: Foundation R
Machine Translated
Az oktató nagyon aggályos volt az egyéni megértés.
Muhammad Surajo Sanusi - Birmingham City University
Kurzus: Foundation R
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Excel kölcsönzött előadást és bizalmat ad nekem a megszerzett ismeretekre építve.
Birmingham City University
Kurzus: Foundation R
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A tréner háttérismerete és „származása”.
Francis McGonigal - Birmingham City University
Kurzus: Foundation R
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Erőforrások
Hafiz Rana - Birmingham City University
Kurzus: Foundation R
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Go magyarázatot arra, hogyan csináljuk a dolgokat
Birmingham City University
Kurzus: Foundation R
Machine Translated
Most már magabiztosabb vagyok a kódolásban. Még soha nem tettem meg, de most megértem, hogy ez nem rakéta tudomány, és szükség esetén meg tudom csinálni.
Anna Yartseva - Birmingham City University
Kurzus: Foundation R
Machine Translated
A tanár nagyon jól továbbította a tudást, nincs megválaszolatlan kérdés.
Karolin Papaj - Mowi Poland SA
Kurzus: Data Mining and Analysis
Machine Translated
grafikus formában történő bemutatása és a következő lépés megvitatása, amelyet SQL
Volkswagen Financial Services Polska Sp. z o.o.,
Kurzus: Data Vault: Building a Scalable Data Warehouse
Machine Translated
Data Mining Subcategories
Data Mining Course Outlines
Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
14 hours
Összefoglaló
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 hours
Összefoglaló
Course can be provided with any tools, including free open-source data mining software and applications
21 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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.
28 hours
Összefoglaló
In this instructor-led, live training in Magyarország, 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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
This instructor-led, live training in Magyarország (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 hours
Összefoglaló
This instructor-led, live training in Magyarország (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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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 hours
Összefoglaló
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.
Upcoming Data Mining Courses
19-08-2021 09:30
14 hours
30-08-2021 09:30
28 hours
30-08-2021 09:30
28 hours
27-09-2021 09:30
28 hours
27-09-2021 09:30
35 hours
Other countries
Consulting
Online Data Mining courses, Weekend Data Mining courses, Evening Data Mining training, Data Mining boot camp, Data Mining instructor-led, Weekend Data Mining training, Evening Data Mining courses, Data Mining coaching, Data Mining instructor, Data Mining trainer, Data Mining training courses, Data Mining classes, Data Mining on-site, Data Mining private courses, Data Mining one on one training
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