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Statistics Training Courses

Statistics Training

Local, instructor-led live Statistics training courses demonstrate through interactive discussion and hands-on practice how to apply Statistic principles to the solving of real-world problems. Statistics training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in the UK or in NobleProg corporate training centers in the UK. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

Client Testimonials

★★★★★
★★★★★

The material covered was interesting and the trainer was knowledgable

Neghat Khan

Course: Modelling and Forecasting for Government

good rapport with the audience, good & accessible explanation/presentation and he relates 'techy' stuff to real life examples which makes things easier to understand

Ray Rusike

Course: Modelling and Forecasting for Government

Excellent knowledge of the trainer, useful examples

Jonathan Harrison

Course: Modelling and Forecasting for Government

The topics were relevant to my role and I will be able to use this immediately in my work and in future.

Rani Nandra

Course: Modelling and Forecasting for Government

He was very informative and helpful.

Pratheep Ravy

Course: Predictive Modelling with R

Trainer's helping.

Urszula Kuza

Course: Tableau Advanced

the training was adaptable and personalised to our needs

Dominique Soulie

Course: Minitab for Statistical Data Analysis

ref material to use later was very good

PAUL BEALES

Course: Applied Machine Learning

exercises as it's the only way to learn, by repitition

David Rushe

Course: Tableau Advanced

The trainer was so knowledgeable and included areas I was interested in

Mohamed Salama

Course: Data Mining & Machine Learning with R

very tailored to needs

Yashan Wang

Course: Data Mining with R

Working with 1:1 with Gunnar.

Bryant Ives

Course: Introduction to R

A very coherent and systematic refresher on forecasting models and useful applications.

Marco D'Alterio

Course: Modelling and Forecasting for Government

Stats refresher and using software for exercises

Rabeeah Shah

Course: Modelling and Forecasting for Government

I like the exercices done

Nour Assaf

Course: Data Mining and Analysis

The hands on exercise and the trainer capacity to explain complex topics in simple terms

youssef chamoun

Course: Data Mining and Analysis

I learned about a lot of techniques I didn't know about before.

Alexandra Torok

Course: Modelling and Forecasting for Government

The information given was interesting and the best part was towards the end when we were provided with Data from Murex and worked on Data we are familiar with and perform operations to get results.

Jessica Chaar

Course: Data Mining and Analysis

Trainer give reallive Examples

Simon Hahn

Course: Administrator Training for Apache Hadoop

Big competences of Trainer

Grzegorz Gorski

Course: Administrator Training for Apache Hadoop

Many hands-on sessions.

Jacek Pieczątka

Course: Administrator Training for Apache Hadoop

new insights in deep machine learning

Josip Arneric

Course: Neural Network in R

We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.

Tea Poklepovic

Course: Neural Network in R

Graphs in R :)))

Faculty of Economics and Business Zagreb

Course: Neural Network in R

Flexibility of the trainer

Irina Ostapenko

Course: Statistics Level 2

The flexible and friendly style. Learning exactly what was useful and relevant for me

Jenny Tickner

Course: Advanced R

I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.

Luke Pontin

Course: Data and Analytics - from the ground up

learning how to use excel properly

Torin Mitchell

Course: Data and Analytics - from the ground up

The way the trainer made complex subjects easy to understand.

Adam Drewry

Course: Data and Analytics - from the ground up

Detailed and comprehensive instruction given by experienced and clearly knowledgeable expert on the subject.

Justin Roche

Course: Data and Analytics - from the ground up

Kamil is very knowledgeable and nice person, I have learned from him a lot.

Aleksandra Szubert

Course: Data and Analytics - from the ground up

First session. Very intensive and quick.

Digital Jersey

Course: Data and Analytics - from the ground up

The patience of Kamil.

Laszlo Maros

Course: Data and Analytics - from the ground up

real life practical examples

Wioleta (Vicky) Celinska-Drozd

Course: Data and Analytics - from the ground up

A lot of knowldege - theoretical and practical

Anna Alechno

Course: Forecasting with R

his knowlede and practical exemples

Irina Tulgara

Course: Forecasting with R

Overview and understanding how big the topic is

British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

Course: Forecasting with R

Hands on examples were the most helpful.

Sean Kaukas

Course: Introduction to R

The practical exercises were extremely beneficial

Vascutek Ltd

Course: Minitab for Statistical Data Analysis

The use of examples, though even these were demonstrated at some considerable speed.

Vascutek Ltd

Course: Minitab for Statistical Data Analysis

2nd day we done lots of examples of gauge R&R & Criticality assessments

Vascutek Ltd

Course: Minitab for Statistical Data Analysis

exercises - use of Minitab

Vascutek Ltd

Course: Minitab for Statistical Data Analysis

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training to meet clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

the introduction of new packages

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

The tutor, Mr. Michael Yan, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

Good overview of R and good range of topics. Trainer was happy to answer all questions

Symphony EYC

Course: R

Knowledge of the trainer

Stephanie Seiermann

Course: R

It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.

Sonja Steiner - BearingPoint GmbH

Course: R Programming for Data Analysis

It was very hands-on, we spent half the time actually doing things in Cloudera/Hadoop, running different commands, checking the system, and so on. The extra materials (books, websites, etc...) were really appreciated, we will have to continue to learn. The installations were quite fun, and very handy, the cluster setup from scratch was really good.

Ericsson

Course: Administrator Training for Apache Hadoop

Exercises on time series modeling

Teleperformance

Course: Data Analytics With R

new tool which is "R" and I find it interesting to know the existence of such tool for data analysis

Michael Lopez - Teleperformance

Course: Data Analytics With R

The tool was interesting and I see the use. I would like to learn about more about it.

Teleperformance

Course: Data Analytics With R

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Subcategories

Forecasting Forecasting Training
Quantitative Analytics Quantitative Analytics Training
R Language R Language Training

Course Outlines

CodeNameDurationOverview
excelafdAnalysing Financial Data in Excel14 hours

Audience

Financial or market analysts, managers, accountants

Course Objectives

Facilitate and automate all kinds of financial analysis with Microsoft Excel
excelstatsdaExcel For Statistical Data Analysis14 hours

Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
mrkfctMarket Forecasting14 hours

Audience

This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting.

Description

This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data.

It uses standard tools like Microsoft Excel or some Open Source programs (notably R project).

The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...)
stats1Statistics Level 114 hours

This course has been created for people who require general statistics skills. This course can be tailored to a specific area of expertise like market research, biology, manufacturing, public sector research, etc...
stats2Statistics Level 228 hours

This training course covers advanced statistics. It explains most of the tools commonly used in research, analysis and forecasting. It provides short explanations of the theory behind the formulas.

This course does not relate to any specific field of knowledge, but can be tailored if all the delegates have the same background and goals.

Some basic computer tools are used during this course (notably Excel and OpenOffice)
mtstatdaMinitab for Statistical Data Analysis14 hours

The course is aimed at anyone interested in statistical analysis. It provides familiarity with Minitab and will increase the effectiveness and efficiency of your data analysis and improve your knowledge of statistics.
statsmanStatistics for Managers35 hours

This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them.

The course uses a lot of pictures, diagrams, computer simulations, anecdotes and sense of humour to explain concepts and pitfalls of statistics.
sspsspasStatistics with SPSS Predictive Analytics Software14 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.
samrStatistic analysis in market research28 hours

Goal: Improving consumer behavior researcher workshop products and services

Addressees  The researchers, market analysts, managers and employees of marketing departments, sales departments primarily pharmaceutical and FMCG, students of socio-economic and everyone interested in market research
statsresStatistics for Researchers35 hours

This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.
pgmtThe Practitioner’s Guide to Multivariate Techniques14 hours

The introduction of the digital computer, and now the widespread availability of computer packages, has opened up a hitherto difficult area of statistics; multivariate analysis. Previously the formidable computing effort associated with these procedures presented a real barrier. That barrier has now disappeared and the analyst can therefore concentrate on an appreciation and an interpretation of the findings.
mrkanarMarketing Analytics using R21 hours

Audience:

Business owners (marketing managers, product managers, customer base managers) and their teams; customer insights professionals.

Overview:

The course follows the customer life cycle from acquiring new customers, managing the existing customers for profitability, retaining good customers, and finally understanding which customers are leaving us and why. We will be working with real (if anonymous) data from a variety of industries including telecommunications, insurance, media, and high tech.

Format:

Instructor-led training over the course of five half-day sessions with in-class exercises as well as homework. It can be delivered as a classroom or distance (online) course.
rneuralnetNeural Network in R14 hours

This course is an introduction to applying neural networks in real world problems using R-project software.
apachehAdministrator Training for Apache Hadoop35 hours

Audience:

The course is intended for IT specialists looking for a solution to store and process large data sets in a distributed system environment

Goal:

Deep knowledge on Hadoop cluster administration.
rprogadvAdvanced R Programming7 hours

This course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills.

The purpose is to give a practical advanced R programming course to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience
advspsspasAdvanced Statistics using SPSS Predictive Analytics Software28 hours

Goal:

Mastering the skill work independently with the program SPSS for advanced use, dialog boxes, and command language syntax for the selected analytical techniques.

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and advanced level and learn the selected statistical models. Training takes universal analysis problems and it is dedicated to a specific industry
statdmStatistical Thinking for Decision Makers7 hours

This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them and be able to choose what kind of statistical methods are relevant in strategic planning of the organization.

For example, a prospect participant needs to make decision how many samples needs to be collected before they can make the decision whether the product is going to be launched or not.

If you need longer course which covers the very basics of statistical thinking have a look at 5 day "Statistics for Managers" training.
67795Numerical Methods14 hours

This course is for data scientists and statisticians that have some familiarity with numerical methods and have at least one programming language from R, Python, Octave, and some C++ options. The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.

The purpose of this course is to give a practical introduction in numerical methods to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience.
appliedmlApplied Machine Learning14 hours

This training course is for people that would like to apply Machine Learning in practical applications.

Audience

This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.

The purpose is to give practical applications to Machine Learning to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience.
dataminrData Mining with R14 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.
bigdatarProgramming with Big Data in R21 hours

Big Data is a term that refers to solutions destined for storing and processing large data sets. Developed by Google initially, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.
octavedaOctave for Data Analysis14 hours

Audience:

This course is for data scientists and statisticians that have some familiarity statistical methods and would like to use the Octave programming language at work.

The purpose of this course is to give a practical introduction in Octave programming to participants interested in using this programming language at work.
statsqaStatistical Quality Analysis7 hours

This course covers the fundamentals of statistical process control and how these quality tools can provide the necessary evidence to improve and control processes. Know when and where to use the various types of control charts available in Minitab for your own processes. And learn how to use capability analysis tools to evaluate your processes.
datacolmtdData Collection Methods14 hours

The objective of the course is to enable participants to gain a mastery of data collection methods.
descstatsDescriptive and Inferential Statistics14 hours

This course will cover averages (mean, median, mode, proportions, etc), dispersions (variance, standard deviation, etc), contingency tables (cross tabs, etc), graphs/charts
 
MLFWR1Machine Learning Fundamentals with R14 hours

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the R programming platform and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
StaEcoModStatistical and Econometric Modelling 21 hours

The objective of the course is to enable participants to gain a mastery of the fundamentals of statistical and econometric modelling.
datashrinkgovData Shrinkage for Government14 hours

The objective of the course is to enable participants to gain a mastery of the fundamentals of data shrinkage for government.
surveyrsteSurvey Research, Sampling Techniques & Estimation14 hours

This 2-day course provides a comprehensive demonstration of the fundamenals of survey research, sampling techniques & estimation.
ModelFore4GovModelling and Forecasting for Government 14 hours

The objective of the course is to enable participants to gain a mastery of the basics of modelling and forecasting for government.

Upcoming Courses

CourseCourse DateCourse Price [Remote / Classroom]
Introductory R for Biologists - Leicester - St. Georges HouseMon, 2018-08-06 09:30£5200 / £6200
Statistics with SPSS Predictive Analytics Software - Swansea- Princess HouseMon, 2018-08-06 09:30£2600 / £2900
Advanced Statistics using SPSS Predictive Analytics Software - Edinburgh Training and Conference VenueTue, 2018-08-07 09:30£5200 / £6000
Descriptive and Inferential Statistics - Plymouth Drake CircusTue, 2018-08-07 09:30£2200 / £2500
R - St Helier, Jersey, Channel IslesTue, 2018-08-07 09:30£3900 / £5325

Other regions

AberdeenBathBelfast CityBirminghamBradfordBrightonBristolCambridgeCardiffCoventryEdinburghExeterGlasgowIsle of ManJersey, CILeedsLeicesterLiverpoolLondonManchesterNewcastleOxfordPlymouthPortsmouthReadingSheffieldSouthamptonSwanseaSwindonYork

Other countries

These courses are also available in other countries ››

Consulting

Statistics Consulting
Weekend Statistics courses, Evening Statistics training, Statistics boot camp, Statistics instructor-led, Weekend Statistics training, Evening Statistics courses, Statistics coaching, Statistics instructor, Statistics trainer, Statistics training courses, Statistics classes, Statistics on-site, Statistics private courses, Statistics one on one training

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
OCUP2 UML 2.5 Certification - Advanced Exam Preparation St Helier, Jersey, Channel Isles Mon, 2018-07-23 09:30 £1980 / £2930
Introduction to R Glasgow Wed, 2018-08-01 09:30 £3861 / £4911
Subversion for Users Newcastle Fri, 2018-08-03 09:30 £1089 / £1289
OCUP2 UML 2.5 Certification - Intermediate Exam Preparation St Helier, Jersey, Channel Isles Tue, 2018-08-07 09:30 £2340 / £3290
jQuery Swansea- Princess House Wed, 2018-08-15 09:30 £1980 / £2280
AWS: A Hands-on Introduction to Cloud Computing Edinburgh Training and Conference Venue Tue, 2018-09-11 09:30 £1287 / £1487
Test Automation with Selenium St Helier, Jersey, Channel Isles Tue, 2018-09-18 09:30 £2970 / £4395

Course Discounts Newsletter

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Some of our clients

volkswagen 50 toyota 50 samsung electronics co. 50 phillips 50 lovefilm 50 intel 50 ikea 50 ibm business consulting services 50 hp 50 ebay 50 cisco 50 boeing company 50 apple inc. 50 abu dhabi company for onshore oil operations (adco) abu dhabi tourism & culture authority adetel sie aeronautical radio, incorporated (arinc) agb nielsen agora aip publishing alberta health services alfa wassermann allegro allianz allsaints amaya software american international group (aig) american medical association (ama) american title amey amway arimr asseco poland atos origin atradius autodesk autosan avid technology avinor aviva canada aviva commercial union avon products, inc axel springer se bank of montreal (bmo) bank zachodni wbk basildon district council bharat electronics limited big fish games blackrock inc bombardier transportation

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