由讲师进行实时指导的数据挖掘本地培训课程通过动手练习和实操演示了数据挖掘的基础知识，其方法来源包括人工智能、机器学习、统计和数据库系统，以及其用法和应用。
数据挖掘培训形式包括“现场实时培训”和“远程实时培训”。现场实时培训可在客户位于中国的所在场所或NobleProg位于中国的企业培训中心进行，远程实时培训可通过交互式远程桌面进行。
NobleProg -- 您的本地培训提供商
客户评论
实例演习; 实际工作经验分享
澳新银行
课程: Data Vault: Building a Scalable Data Warehouse
老师对数据仓库的知识很全面，赞！
澳新银行
课程: Data Vault: Building a Scalable Data Warehouse
老师讲解细致, 讨论气氛融洽
澳新银行
课程: Data Vault: Building a Scalable Data Warehouse
材料范围
Maciej Jonczyk
课程: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
系统化ML领域的知识
Orange Polska
课程: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
培训后可以探索很多问题。
Klaudia Kłębek
课程: Data Mining z wykorzystaniem R
Machine Translated
培训师知识渊博，包括我感兴趣的领域。
Mohamed Salama
课程: Data Mining & Machine Learning with R
Machine Translated
非常适合需求。
Yashan Wang
课程: Data Mining with R
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我喜欢做的练习。
Nour Assaf
课程: Data Mining and Analysis
Machine Translated
动手练习和培训师能够用简单的术语解释复杂的主题。
youssef chamoun
课程: Data Mining and Analysis
Machine Translated
所提供的信息很有意思，最好的部分是在我们从Durex获得数据并且处理我们熟悉的数据并执行操作以获得结果时。
Jessica Chaar
课程: Data Mining and Analysis
Machine Translated
我认为这些信息很有趣。
Allison May
课程: Data Visualization
Machine Translated
我非常感谢Jeff使用了适用于教育数据的数据和示例。他使它变得有趣和互动。
Carol Wells Bazzichi
课程: Data Visualization
Machine Translated
了解所有图表类型及其用途。学习混乱的价值。了解显示时间数据的方法。
Susan Williams
课程: Data Visualization
Machine Translated
培训师很热情。
Diane Lucas
课程: Data Visualization
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我真的很喜欢内容/讲师。
Craig Roberson
课程: Data Visualization
Machine Translated
我是一名实践学习者，这是他做了很多的事情。
Lisa Comfort
课程: Data Visualization
Machine Translated
我喜欢这些例子。
Peter Coleman
课程: Data Visualization
Machine Translated
我通常从这些例子中受益。
Peter Coleman
课程: Data Visualization
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我喜欢现实世界的好例子，对现有报道的评论。
Ronald Parrish
课程: Data Visualization
Machine Translated
示例和培训材料足以让您轻松了解自己在做什么。
Teboho Makenete
课程: Data Science for Big Data Analytics
Machine Translated
理查德的训练风格让它变得有趣，所使用的真实世界的例子有助于将概念带回家。
Jamie Martin-Royle - NBrown Group
课程: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
内容，因为我觉得非常有趣，并认为这将有助于我在大学的最后一年。
Krishan Mistry - NBrown Group
课程: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
实际应用，有助于解释许多不同的疑虑
SGB-Bank S.A.
课程: Data Vault: Building a Scalable Data Warehouse
Machine Translated
工具的电容
Gerardo Avila - Reckitt Benckizer
课程: KNIME Analytics Platform for BI
Machine Translated
学习新工具
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
课程: KNIME Analytics Platform for BI
Machine Translated
我真的很享受所有最好的。
Halil polat - Amazon Development Center Poland Sp. z o.o.
课程: Data Mining and Analysis
Machine Translated
培训师集中讨论了关键的话题。
Amazon Development Center Poland Sp. z o.o.
课程: Data Mining and Analysis
Machine Translated
培训师的专业知识和丰富的知识。
Amazon Development Center Poland Sp. z o.o.
课程: Data Mining and Analysis
Machine Translated
我从指导和分享生活例子 + 回答所有问题中受益。
Marta Melloch - Amazon Development Center Poland Sp. z o.o.
课程: Data Mining and Analysis
Machine Translated
我真的很喜欢学习新的和有趣的东西。
SIVECO Romania SA
课程: Data Mining
Machine Translated
我从良好的榜样和效仿的机会中受益。
Environmental and Climate Change Canada
课程: Foundation R
Machine Translated
我真的很喜欢通过练习的手。
Yunfa Zhu - Environmental and Climate Change Canada
课程: Foundation R
Machine Translated
教练员非常关心个人的理解。
Muhammad Surajo Sanusi - Birmingham City University
课程: Foundation R
Machine Translated
Excel借出演示文稿，它让我有信心在所获得的知识基础上进行。
Birmingham City University
课程: Foundation R
Machine Translated
背景知识和培训师的“出处”。
Francis McGonigal - Birmingham City University
课程: Foundation R
Machine Translated
资源
Hafiz Rana - Birmingham City University
课程: Foundation R
Machine Translated
Go对我们如何做的事情OD解释
Birmingham City University
课程: Foundation R
Machine Translated
我现在对编码更有信心。我以前从未这样做过，但现在我明白这不是火箭科学，我可以在必要的时候做到。
Anna Yartseva - Birmingham City University
课程: Foundation R
Machine Translated
老师传授的知识很好，没有未解决的问题。
Karolin Papaj - Mowi Poland SA
课程: Data Mining and Analysis
Machine Translated
以图形形式演示，并讨论下一步，将在 SQL
Volkswagen Financial Services Polska Sp. z o.o.,
课程: Data Vault: Building a Scalable Data Warehouse
Machine Translated
数据挖掘（Data Mining）子类别
数据挖掘（Data Mining）课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
课程概览
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小时
课程概览
Course can be provided with any tools, including free open-source data mining software and applications
21小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
Data Vault建模是一种数据库建模技术，可提供源自多个源的数据的长期历史存储。一个Data Vault存储事实或“所有数据、所有时间”的单个版本。其灵活、可扩展、一致且适应性强的设计涵盖了第三范式（3NF）和星型模型（star schema）的最佳方面。
在这一由讲师指导的实时培训中，学员将学习如何构建一个Data Vault。
在本次培训结束之后，学员将能够：
- 了解Data Vault 2.0背后的架构和设计概念，以及它与大数据、NoSQL、AI的交互。
- 使用数据存储（data vaulting）技术对数据仓库中的历史数据进行审计、跟踪、检查
- 开发一致且可重复的ETL（提取、转换、加载）过程
- 构建和部署高度可扩展且可重复的仓库
受众
- 数据建模师
- 数据仓库专家
- 商业智能专家
- 数据工程师
- 数据库管理员
课程形式
- 部分讲座、部分讨论、练习和大量实操
在这一由讲师指导的实时培训中，学员将学习如何构建一个Data Vault。
在本次培训结束之后，学员将能够：
- 了解Data Vault 2.0背后的架构和设计概念，以及它与大数据、NoSQL、AI的交互。
- 使用数据存储（data vaulting）技术对数据仓库中的历史数据进行审计、跟踪、检查
- 开发一致且可重复的ETL（提取、转换、加载）过程
- 构建和部署高度可扩展且可重复的仓库
受众
- 数据建模师
- 数据仓库专家
- 商业智能专家
- 数据工程师
- 数据库管理员
课程形式
- 部分讲座、部分讨论、练习和大量实操
28小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
This instructor-led, live training in 中国 (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小时
课程概览
This instructor-led, live training in 中国 (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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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.
近期数据挖掘（Data Mining）培训课程
20-10-2021 09:30
上海 - 上海中区广场
21 小时
25-10-2021 09:30
上海 - 上海中区广场
28 小时
28-10-2021 09:30
上海 - 上海中区广场
7 小时
03-11-2021 09:30
上海 - 上海中区广场
21 小时
16-11-2021 09:30
上海 - 上海中区广场
28 小时
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