Cursurile de instruire locală, instruite în domeniul Mineritului de date demonstrează prin practica manuală fundamentele Data Mining, sursele sale de metode, inclusiv inteligența artificială, învățarea în mașină, sistemele de statistici și baze de date, precum și utilizarea și aplicațiile sale Cursul de pregătire a datelor este disponibil ca "formare live la fața locului" sau "instruire live la distanță" Training-ul live la fața locului poate fi efectuat la fața locului la sediul clientului România sau în centrele de formare corporativa NobleProg din România Instruirea live la distanță este realizată printr-un desktop interactiv, la distanță NobleProg Furnizorul dvs de formare locală.
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Mărturii
Chiar mi-a plăcut să învăț lucruri noi și interesante.
SIVECO Romania SA
Curs: Data Mining
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gamă de materiale
Maciej Jonczyk
Curs: From Data to Decision with Big Data and Predictive Analytics
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sistematizarea cunoștințelor în domeniul ML
Orange Polska
Curs: From Data to Decision with Big Data and Predictive Analytics
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O mulțime de probleme care pot fi explorate după formare
Klaudia Kłębek
Curs: Data Mining z wykorzystaniem R
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Formatorul a fost atât de informat și a inclus zonele în care mă interesează.
Mohamed Salama
Curs: Data Mining & Machine Learning with R
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Foarte adaptate nevoilor.
Yashan Wang
Curs: Data Mining with R
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Îmi plac exercițiile făcute.
Nour Assaf
Curs: Data Mining and Analysis
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Exercițiul hands-on și capacitatea formatorului de a explica subiecte complexe în termeni simpli.
youssef chamoun
Curs: Data Mining and Analysis
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Informațiile furnizate au fost interesante și cea mai bună parte a fost spre sfârșitul anului când am fost furnizați date de la Durex și am lucrat la datele pe care le cunoaștem și le efectuăm pentru a obține rezultate.
Jessica Chaar
Curs: Data Mining and Analysis
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Am crezut că informațiile erau interesante.
Allison May
Curs: Data Visualization
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Apreciez foarte mult faptul că Jeff a folosit date și exemple care erau aplicabile datelor educaționale. El a făcut-o interesantă și interactivă.
Carol Wells Bazzichi
Curs: Data Visualization
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Învățați despre toate tipurile de diagrame și despre ce sunt folosite. Învățând valoarea aglomerării. Învățați despre metodele de afișare a datelor de timp.
Susan Williams
Curs: Data Visualization
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Antrenorul a fost entuziast.
Diane Lucas
Curs: Data Visualization
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Mi-a plăcut cu adevărat conținutul / instructor.
Craig Roberson
Curs: Data Visualization
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Sunt un cursant și acest lucru a făcut foarte mult.
Lisa Comfort
Curs: Data Visualization
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Mi-au plăcut exemplele.
Peter Coleman
Curs: Data Visualization
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În general, am beneficiat de exemple.
Peter Coleman
Curs: Data Visualization
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Mi-a plăcut exemplele bune din lumea reală, recenzii ale rapoartelor existente.
Ronald Parrish
Curs: Data Visualization
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Exerciții de exemplu;
澳新银行
Curs: Data Vault: Building a Scalable Data Warehouse
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Cube și DV
Alan Xie
Curs: Data Vault: Building a Scalable Data Warehouse
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Profesorul are o cunoaștere cuprinzătoare a depozitului de date.
澳新银行
Curs: Data Vault: Building a Scalable Data Warehouse
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Profesorul a explicat în detaliu și a discutat atmosfera
澳新银行
Curs: Data Vault: Building a Scalable Data Warehouse
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Exemplul și materialul de instruire au fost suficiente și au făcut ușor să înțelegi ce faci.
Teboho Makenete
Curs: Data Science for Big Data Analytics
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Stilul de formare al lui Richard a păstrat-o interesantă, exemplele din lumea reală folosite au ajutat la conducerea conceptelor acasă.
Jamie Martin-Royle - NBrown Group
Curs: From Data to Decision with Big Data and Predictive Analytics
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Conținutul, așa cum mi sa părut foarte interesant și cred că mă va ajuta în ultimul an la Universitatea.
Krishan Mistry - NBrown Group
Curs: From Data to Decision with Big Data and Predictive Analytics
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Aplicarea practică, ajuta la explicarea multor îndoieli diferite
SGB-Bank S.A.
Curs: Data Vault: Building a Scalable Data Warehouse
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Capacitatea instrumentului
Gerardo Avila - Reckitt Benckizer
Curs: KNIME Analytics Platform for BI
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Învățarea unui nou instrument
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Curs: KNIME Analytics Platform for BI
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Chiar mi-a plăcut cele mai bune.
Halil polat - Amazon Development Center Poland Sp. z o.o.
Curs: Data Mining and Analysis
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Antrenorul s-a concentrat pe subiectele cheie.
Amazon Development Center Poland Sp. z o.o.
Curs: Data Mining and Analysis
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Expertiza si cunoasterea uriasa a formatorului.
Amazon Development Center Poland Sp. z o.o.
Curs: Data Mining and Analysis
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Am fost beneficia de orientare și împărtășirea exemple de viață + răspunde la toate întrebările.
Marta Melloch - Amazon Development Center Poland Sp. z o.o.
Curs: Data Mining and Analysis
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Am fost beneficia de exemple bune și posibilitatea de a urmări de-a lungul.
Environmental and Climate Change Canada
Curs: Foundation R
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M-am bucurat cu adevărat mâinile trecut exerciții.
Yunfa Zhu - Environmental and Climate Change Canada
Curs: Foundation R
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Antrenorul a fost foarte preocupat de înțelegerea individuală.
Muhammad Surajo Sanusi - Birmingham City University
Curs: Foundation R
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Excel prezentare și mi-a oferit încredere pentru a construi pe cunoștințele acumulate.
Birmingham City University
Curs: Foundation R
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Cunoștințe de bază și "proveniență" a formatorului.
Francis McGonigal - Birmingham City University
Curs: Foundation R
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Resurse
Hafiz Rana - Birmingham City University
Curs: Foundation R
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Go explicații despre modul în care facem lucrurile
Birmingham City University
Curs: Foundation R
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Mă simt mai încrezător în codificarea acum. N-am mai facut-o niciodata inainte, dar acum inteleg ca nu e vorba de stiinta rachetelor si o pot face cand e nevoie.
Anna Yartseva - Birmingham City University
Curs: Foundation R
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Cunoașterea foarte bine transferată de către profesor, fără întrebări fără răspuns.
Karolin Papaj - Mowi Poland SA
Curs: Data Mining and Analysis
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prezentarea în formă grafică și discutarea următorului pas, care va fi efectuat în SQL
Volkswagen Financial Services Polska Sp. z o.o.,
Curs: Data Vault: Building a Scalable Data Warehouse
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Data Mining Subcategories
Data Mining Course Outlines
Numele cursului
Durata
Sinoptic
Numele cursului
Durata
Sinoptic
14 hours
Sinoptic
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
Sinoptic
Course can be provided with any tools, including free open-source data mining software and applications
21 hours
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
In this instructor-led, live training in România, 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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
This instructor-led, live training in România (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
Sinoptic
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
Sinoptic
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
Sinoptic
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
Sinoptic
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
09-11-2021 09:30
14 ore
15-11-2021 09:30
35 ore
22-11-2021 09:30
28 ore
29-11-2021 09:30
28 ore
07-12-2021 09:30
28 ore
Consultanță
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