Lokala, instruktörsutbildade Data Mining-utbildningar visar genom handson att man utövar grunden för datautvinning, dess källor till metoder, inklusive artificiell intelligens, maskininlärning, statistik och databassystem och dess användning och tillämpningar Data Mining träning finns som "live-träning" eller "fjärr-live-träning" Utbildning på plats kan genomföras lokalt på kundlokaler i Sverige eller i NobleProgs företagsutbildningscenter i Sverige Fjärrutbildning sker genom en interaktiv fjärrskrivbord NobleProg Din lokala utbildningsleverantör.
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Vittnesmål
utbud av material
Maciej Jonczyk
Kurs: From Data to Decision with Big Data and Predictive Analytics
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systematisering av kunskap inom ML
Orange Polska
Kurs: From Data to Decision with Big Data and Predictive Analytics
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Många problem som kan utforskas efter träningen
Klaudia Kłębek
Kurs: Data Mining z wykorzystaniem R
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Tränaren var så kunnig och inkluderade områden jag var intresserad av.
Mohamed Salama
Kurs: Data Mining & Machine Learning with R
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Mycket skräddarsydd för behoven.
Yashan Wang
Kurs: Data Mining with R
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Jag tycker om de övningar som gjorts.
Nour Assaf
Kurs: Data Mining and Analysis
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Den praktiska träningen och tränarens förmåga att förklara komplexa ämnen i enkla termer.
youssef chamoun
Kurs: Data Mining and Analysis
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Den givna informationen var intressant och det bästa var mot slutet när vi fick Data från Durex och arbetade med Data vi är bekanta med och utför verksamhet för att få resultat.
Jessica Chaar
Kurs: Data Mining and Analysis
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Jag trodde att informationen var intressant.
Allison May
Kurs: Data Visualization
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Jag uppskattade verkligen att Jeff utnyttjade data och exempel som var tillämpliga på utbildningsdata. Han gjorde det intressant och interaktivt.
Carol Wells Bazzichi
Kurs: Data Visualization
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Lär dig om alla karttyper och vad de används för. Att lära sig värdet av cluttering. Lär dig om metoderna för att visa tidsdata.
Susan Williams
Kurs: Data Visualization
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Trainer var entusiastisk.
Diane Lucas
Kurs: Data Visualization
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Jag gillade verkligen innehållet / instruktören.
Craig Roberson
Kurs: Data Visualization
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Jag är en praktisk lärare och det var något han gjorde mycket av.
Lisa Comfort
Kurs: Data Visualization
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Jag gillade exemplen.
Peter Coleman
Kurs: Data Visualization
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Jag brukar dra nytta av exemplen.
Peter Coleman
Kurs: Data Visualization
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Jag njöt av de goda riktiga exemplen, recensioner av befintliga rapporter.
Ronald Parrish
Kurs: Data Visualization
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Exempel övningar; Praktisk arbetslivserfarenhet
澳新银行
Kurs: Data Vault: Building a Scalable Data Warehouse
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Kub och DV
Alan Xie
Kurs: Data Vault: Building a Scalable Data Warehouse
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Läraren har en omfattande kunskap om datalagret.
澳新银行
Kurs: Data Vault: Building a Scalable Data Warehouse
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Läraren förklarade i detalj och diskuterade atmosfären
澳新银行
Kurs: Data Vault: Building a Scalable Data Warehouse
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Exemplet och träningsmaterialet var tillräckligt och gjorde det lätt att förstå vad du gör.
Teboho Makenete
Kurs: Data Science for Big Data Analytics
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Richards träningsstil höll det intressant, de verkliga världsexemplen som använde hjälpte till att driva begreppen hemma.
Jamie Martin-Royle - NBrown Group
Kurs: From Data to Decision with Big Data and Predictive Analytics
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Innehållet, som jag tyckte var väldigt intressant och tycker att det skulle hjälpa mig i mitt sista år på universitetet.
Krishan Mistry - NBrown Group
Kurs: From Data to Decision with Big Data and Predictive Analytics
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Praktisk tillämpning, hjälp med att förklara många olika tvivel
SGB-Bank S.A.
Kurs: Data Vault: Building a Scalable Data Warehouse
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Kapacitansen hos verktyget
Gerardo Avila - Reckitt Benckizer
Kurs: KNIME Analytics Platform for BI
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Lära sig ett nytt verktyg
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Kurs: KNIME Analytics Platform for BI
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Jag njöt verkligen av allt det bästa.
Halil polat - Amazon Development Center Poland Sp. z o.o.
Kurs: Data Mining and Analysis
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Utbildaren koncentrerade sig på de viktigaste ämnena.
Amazon Development Center Poland Sp. z o.o.
Kurs: Data Mining and Analysis
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Expertis och stor kunskap om tränaren.
Amazon Development Center Poland Sp. z o.o.
Kurs: Data Mining and Analysis
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Jag var nytta av vägledning och dela liv exempel + besvara alla frågor.
Marta Melloch - Amazon Development Center Poland Sp. z o.o.
Kurs: Data Mining and Analysis
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Jag njöt verkligen av att lära mig nya och intressanta saker.
SIVECO Romania SA
Kurs: Data Mining
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Jag hade nytta av de goda exemplen och möjligheten att följa med i texten.
Environmental and Climate Change Canada
Kurs: Foundation R
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Jag njöt verkligen händerna passerade övningar.
Yunfa Zhu - Environmental and Climate Change Canada
Kurs: Foundation R
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Tränaren var mycket orolig för individuell förståelse.
Muhammad Surajo Sanusi - Birmingham City University
Kurs: Foundation R
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Excel lånade ut presentation och det ger mig förtroende att bygga vidare på kunskap.
Birmingham City University
Kurs: Foundation R
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Bakgrundskunskap och "härkomst" av tränare
Francis McGonigal - Birmingham City University
Kurs: Foundation R
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Medel
Hafiz Rana - Birmingham City University
Kurs: Foundation R
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Go förklaringar om hur vi gör saker
Birmingham City University
Kurs: Foundation R
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Jag känner mig mer säker med kodning nu. Jag har aldrig gjort det förut men nu förstår jag att det inte är raketvetenskap och jag kan göra det när det är nödvändigt.
Anna Yartseva - Birmingham City University
Kurs: Foundation R
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Mycket väl överförd kunskap av läraren. Inga obesvarade frågor.
Karolin Papaj - Mowi Poland SA
Kurs: Data Mining and Analysis
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presentera i grafisk form och diskutera nästa steg, som kommer att utföras i SQL
Volkswagen Financial Services Polska Sp. z o.o.,
Kurs: Data Vault: Building a Scalable Data Warehouse
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Data Mining underkategorier
Data Mining läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
14 timmar
Översikt
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 timmar
Översikt
Course can be provided with any tools, including free open-source data mining software and applications
21 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
In this instructor-led, live training in Sverige, 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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
This instructor-led, live training in Sverige (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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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.
Kommande Data Mining Kurser
17-11-2021 09:30
14 timmar
25-11-2021 09:30
14 timmar
01-12-2021 09:30
14 timmar
06-12-2021 09:30
28 timmar
20-12-2021 09:30
28 timmar
Andra länder
Konsult
Helg Data Mining kurs, kvällData Mining utbildning, Data Mining bootcamp, Data Mining instruktörledd, Helg Data Mining utbildning, Kväll Data Mining kurs, Data Mining coaching, Data Mining instruktör, Data Mining tränare, Data Mining kurs, Data Mining klasser, Data Mining on-site, Data Mining privata kurser, Data Mining en till en utbildning
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