Local, instructor-led live Predictive Analytics training courses demonstrate through hands-on practice how to use different tools to build predictive models and apply them to large sample data sets to predict future events based on the data. Predictive Analytics training is available as "onsite live training" or "remote live training". Onsite live Predictive Analytics training can be carried out locally on customer premises in Sweden or in NobleProg corporate training centers in Sweden. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

Testimonials

★★★★★

He was very informative and helpful.

Pratheep Ravy

Course: Predictive Modelling with R

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group

Course: From Data to Decision with Big Data and Predictive Analytics

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group

Course: From Data to Decision with Big Data and Predictive Analytics

the scope of material

Maciej Jonczyk

Course: From Data to Decision with Big Data and Predictive Analytics

Translated by

systematizing knowledge in the field of ML

Orange Polska

Course: From Data to Decision with Big Data and Predictive Analytics

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Predictive Analytics Course Outlines

Code	Name	Duration	Overview
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.
predmodr	Predictive Modelling 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.
intror	Introduction to R with Time Series Analysis	21 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.
matlabpredanalytics	Matlab for Predictive Analytics	21 hours	Predictive analytics is the process of using data analytics to make predictions about the future. This process uses data along with data mining, statistics, and machine learning techniques to create a predictive model for forecasting future events. In this instructor-led, live training, participants will learn how to use Matlab to build predictive models and apply them to large sample data sets to predict future events based on the data. By the end of this training, participants will be able to: - Create predictive models to analyze patterns in historical and transactional data - Use predictive modeling to identify risks and opportunities - Build mathematical models that capture important trends - Use data from devices and business systems to reduce waste, save time, or cut costs Audience - Developers - Engineers - Domain experts Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice
bigdatabicriminal	Big Data Business Intelligence for Criminal Intelligence Analysis	35 hours	Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results. By the end of this training, participants will be able to: - Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation - Implement industrial big data storage and processing solutions for data analysis - Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation Audience - Law Enforcement specialists with a technical background Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice
visa_LBG	Visual Analytics – Data science	14 hours	This classroom based training session will contain presentations and computer based examples and case study exercises to undertake.
rapidminer	RapidMiner for Machine Learning and Predictive Analytics	14 hours	RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment. By the end of this training, participants will be able to: - Install and configure RapidMiner - Prepare and visualize data with RapidMiner - Validate machine learning models - Mashup data and create predictive models - Operationalize predictive analytics within a business process - Troubleshoot and optimize RapidMiner Audience - Data scientists - Engineers - 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.

Upcoming Predictive Analytics Courses

Course	Course Date	Course Price [Remote / Classroom]
Big Data Business Intelligence for Criminal Intelligence Analysis - Örebro, City Center	Mon, 2018-12-31 09:30	6190EUR / 7390EUR
Big Data Business Intelligence for Criminal Intelligence Analysis - Uppsala	Mon, 2019-01-21 09:30	6190EUR / 7890EUR
Big Data Business Intelligence for Criminal Intelligence Analysis - Örebro, City Center	Mon, 2019-03-18 09:30	6190EUR / 7390EUR
Big Data Business Intelligence for Criminal Intelligence Analysis - Uppsala	Mon, 2019-05-20 09:30	6190EUR / 7890EUR
Big Data Business Intelligence for Criminal Intelligence Analysis - Örebro, City Center	Mon, 2019-06-10 09:30	6190EUR / 7390EUR

Other regions

Stockholm Uppsala Skåne Västra Götaland Västmanland Örebro Östergötland

Other countries

These courses are also available in other countries ››

Consulting

Predictive Analytics Consulting

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Course Discounts