Local, instructor-led Data Mining training courses demonstrate through hands-on practice the fundamentals of Data Mining, its sources of methods including Artificial intelligence, Machine learning, Statistics and Database systems, and its use and applications.
Data Mining training is available as "onsite live training" or "remote live training". Onsite live Data Mining training can be carried out locally on customer premises in Swansea or in NobleProg corporate training centres in Swansea. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
I really liked the content / Instructor.
Craig Roberson
Course: Data Visualization
Trainer was enthusiastic.
Diane Lucas
Course: Data Visualization
Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.
Susan Williams
Course: Data Visualization
Example exercises; Practical work experience sharing
澳新银行
Course: Data Vault: Building a Scalable Data Warehouse
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systematizing knowledge in the field of ML
Orange Polska
Course: From Data to Decision with Big Data and Predictive Analytics
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A lot of issues that can be explored after the training
Klaudia Kłębek
Course: Data Mining with R
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| Code | Name | Venue | Duration | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|---|---|
| datama | Data Mining and Analysis | Swansea- Princess House | 28 hours | Mon, 2019-02-04 09:30 | £5200 / £5800 |
| datavis1 | Data Visualization | Swansea- Princess House | 28 hours | Mon, 2019-04-15 09:30 | £5200 / £5800 |
| datapro | Data Protection | Swansea- Princess House | 35 hours | Mon, 2019-04-29 09:30 | £5500 / £6250 |
| dsbda | Data Science for Big Data Analytics | Swansea- Princess House | 35 hours | Mon, 2019-04-29 09:30 | £6500 / £7250 |
| pentahodi | Pentaho Data Integration Fundamentals | Swansea- Princess House | 21 hours | Wed, 2019-06-19 09:30 | £3300 / £3750 |
| dataminr | Data Mining with R | Swansea- Princess House | 14 hours | Thu, 2019-06-20 09:30 | £2600 / £2900 |
| rintrob | Introductory R for Biologists | Swansea- Princess House | 28 hours | Mon, 2019-06-24 09:30 | £5200 / £5800 |
| pentaho | Pentaho Open Source BI Suite Community Edition (CE) | Swansea- Princess House | 28 hours | Mon, 2019-06-24 09:30 | £4400 / £5000 |
| processmining | Process Mining | Swansea- Princess House | 21 hours | Wed, 2019-07-10 09:30 | £3900 / £4350 |
| kdd | Knowledge Discovery in Databases (KDD) | Swansea- Princess House | 21 hours | Mon, 2019-07-15 09:30 | £3300 / £3750 |
| d2dbdpa | From Data to Decision with Big Data and Predictive Analytics | Swansea- Princess House | 21 hours | Tue, 2019-07-16 09:30 | £3900 / £4350 |
| sspsspas | Statistics with SPSS Predictive Analytics Software | Swansea- Princess House | 14 hours | Tue, 2019-07-16 09:30 | £2600 / £2900 |
| datamin | Data Mining | Swansea- Princess House | 21 hours | Wed, 2019-07-17 09:30 | £3900 / £4350 |
| osqlide | Oracle SQL Intermediate - Data Extraction | Swansea- Princess House | 14 hours | Thu, 2019-07-18 09:30 | £2200 / £2500 |
| matfin | MATLAB for Financial Applications | Swansea- Princess House | 21 hours | Mon, 2019-07-22 09:30 | £3900 / £4350 |
| datavault | Data Vault: Building a Scalable Data Warehouse | Swansea- Princess House | 28 hours | Mon, 2019-07-22 09:30 | £4400 / £5000 |
| dmmlr | Data Mining & Machine Learning with R | Swansea- Princess House | 14 hours | Tue, 2019-07-23 09:30 | £2600 / £2900 |
| monetdb | MonetDB | Swansea- Princess House | 28 hours | Tue, 2019-08-06 09:30 | £4400 / £5000 |
| foundr | Foundation R | Swansea- Princess House | 7 hours | Wed, 2019-08-07 09:30 | £1300 / £1450 |
| smtwebint | Semantic Web Overview | Swansea- Princess House | 7 hours | Thu, 2019-08-08 09:30 | £1100 / £1250 |
| dataminpython | Data Mining with Python | Swansea- Princess House | 14 hours | Mon, 2019-08-12 09:30 | £2200 / £2500 |
| Code | Name | Duration | Overview |
|---|---|---|---|
| smtwebint | Semantic Web Overview | 7 hours | The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. |
| dsbda | Data Science for Big Data Analytics | 35 hours | 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. |
| pentaho | Pentaho Open Source BI Suite Community Edition (CE) | 28 hours | 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. |
| foundr | Foundation R | 7 hours | The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data. |
| monetdb | MonetDB | 28 hours | 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 |
| datavault | Data Vault: Building a Scalable Data Warehouse | 28 hours | In this instructor-led, live training, 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 Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| PentahoDI | Pentaho Data Integration Fundamentals | 21 hours | 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, maximizing the value of data to the 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 |
| matfin | MATLAB for Financial Applications | 21 hours | MATLAB is a numerical computing environment and programming language developed by MathWorks. |
| kdd | Knowledge Discovery in Databases (KDD) | 21 hours | 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 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. |
| processmining | Process Mining | 21 hours | 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. Audience Data science professionals Anyone interested in understanding and applying process modeling and data mining |
| datavis1 | Data Visualization | 28 hours | 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. |
| sspsspas | Statistics with SPSS Predictive Analytics Software | 14 hours | 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. |
| dmmlr | Data Mining & Machine Learning with R | 14 hours | 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. |
| rintrob | Introductory R for Biologists | 28 hours | 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. |
| datama | Data Mining and Analysis | 28 hours | 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. |
| datapro | Data Protection | 35 hours | This is an Instructor led course, and is the non-certification version of the "[CDP - Certificate in Data Protection](/cc/cdp)" course Those experienced in data protection issues, as well as those new to the subject, need to be trained so that their organisations are confident that legal compliance is continually addressed. It is necessary to identify issues requiring expert data protection advice in good time in order that organisational reputation and credibility are enhanced through relevant data protection policies and procedures. Objectives: The aim of the syllabus is to promote an understanding of how the data protection principles work rather than simply focusing on the mechanics of regulation. The syllabus places the Act in the context of human rights and promotes good practice within organisations. On completion, you will have: - an appreciation of the broader context of the Act. - an understanding of the way in which the Act and the Privacy and Electronic Communications (EC Directive) Regulations 2003 work - a broad understanding of the way associated legislation relates to the Act - an understanding of what has to be done to achieve compliance Course Synopsis: The syllabus comprises three main parts, each sub-sections. - Context - this will address the origins of and reasons for the Act together with consideration of privacy in general. - Law – Data Protection Act - this will address the main concepts and elements of the Act and subordinate legislation. - Application - this will consider how compliance is achieved and how the Act works in practice. |
| osqlide | Oracle SQL Intermediate - Data Extraction | 14 hours | 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. |
| dataminr | Data Mining with R | 14 hours | 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. |
| d2dbdpa | From Data to Decision with Big Data and Predictive Analytics | 21 hours | 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. |
| datamin | Data Mining | 21 hours | Course can be provided with any tools, including free open-source data mining software and applications |
| dataminpython | Data Mining with Python | 14 hours | This instructor-led, live training (onsite or remote) 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. |
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| RPA: Implementing Robotic Process Automation | London, Hatton Garden | Tue, 2019-01-29 09:30 | £3861 / £4986 |
| JIRA for Administrators | London, Hatton Garden | Tue, 2019-01-29 09:30 | £1100 / £1475 |
| AngularJS Basics | Edinburgh Training and Conference Venue | Wed, 2019-01-30 09:30 | £2200 / £2600 |
| QMS Auditor / Lead Auditor (ISO 9001) | Cardiff | Wed, 2019-03-13 09:30 | £3300 / £4200 |
| Natural Language Processing - AI/Robotics | London, Hatton Garden | Mon, 2019-04-01 09:30 | £3900 / £5025 |
| Understanding Modern Information Communication Technology | Cardiff | Mon, 2019-05-06 09:30 | £1100 / £1400 |
| React: Build Highly Interactive Web Applications | London, Hatton Garden | Tue, 2019-07-09 09:30 | £3300 / £4425 |
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