Lokale, geörganiseerde Live Statistics-trainingscursussen demonstreren door middel van interactieve discussie en handson-oefeningen hoe Statistische principes kunnen worden toegepast bij het oplossen van problemen in de echte wereld Statistieken training is beschikbaar als "live training op locatie" of "live training op afstand" Onsite live training kan lokaal worden uitgevoerd op het terrein van de klant in Nederland of in NobleProg bedrijfsopleidingscentra in Nederland Live-training op afstand wordt uitgevoerd via een interactieve, externe desktop NobleProg Uw lokale trainingsaanbieder.
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Getuigenissen
Het behandelde materiaal was interessant en de trainer was deskundig.
Neghat Khan
Cursus: Modelling and Forecasting for Government
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Goede band met het publiek, goede en toegankelijke uitleg / presentatie en hij relateert 'tech'-spullen aan voorbeelden uit het echte leven waardoor dingen gemakkelijker te begrijpen zijn.
Ray Rusike
Cursus: Modelling and Forecasting for Government
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Ik had baat bij de uitstekende kennis van de trainer, handige voorbeelden.
Jonathan Harrison
Cursus: Modelling and Forecasting for Government
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De onderwerpen waren relevant voor mijn rol en ik zal dit meteen in mijn werk en in de toekomst kunnen gebruiken.
Rani Nandra
Cursus: Modelling and Forecasting for Government
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Hij was zeer informatief en nuttig.
Pratheep Ravy
Cursus: Predictive Modelling with R
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Ik genoot oprecht van de hulp van de trainer.
Urszula Kuza
Cursus: Tableau Advanced
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Ik krijg antwoorden op al mijn vragen.
Natalia Gladii
Cursus: Data Analytics With R
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Veel problemen die na de training kunnen worden onderzocht
Klaudia Kłębek
Cursus: Data Mining z wykorzystaniem R
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De training was aanpasbaar en persoonlijk afgestemd op onze behoeften.
Dominique Soulie
Cursus: Minitab for Statistical Data Analysis
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Ik vond de oefeningen leuk omdat het de enige manier is om te leren, door herhaling.
David Rushe
Cursus: Tableau Advanced
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De trainer was zo deskundig en inclusief gebieden waarin ik geïnteresseerd was.
Mohamed Salama
Cursus: Data Mining & Machine Learning with R
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Zeer afgestemd op de behoeften.
Yashan Wang
Cursus: Data Mining with R
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Ik vond het echt leuk om 1: 1 met Gunner te werken.
Bryant Ives
Cursus: Introduction to R
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Een zeer coherente en systematische opfriscursus op voorspellingsmodellen en nuttige toepassingen.
Marco D'Alterio
Cursus: Modelling and Forecasting for Government
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Ik heb genoten van de opfrissing van de statistieken en het gebruik van software voor oefeningen.
Rabeeah Shah
Cursus: Modelling and Forecasting for Government
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Ik hou van de uitgevoerde oefeningen.
Nour Assaf
Cursus: Data Mining and Analysis
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De hands-on oefening en de trainercapaciteit om complexe onderwerpen in eenvoudige bewoordingen uit te leggen.
youssef chamoun
Cursus: Data Mining and Analysis
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Ik heb veel geleerd over technieken die ik nog niet kende.
Alexandra Torok
Cursus: Modelling and Forecasting for Government
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De gegeven informatie was interessant en het beste deel was tegen het einde toen we werden voorzien van gegevens van Durex en werkten aan gegevens die we kennen en uitvoeren om resultaten te krijgen.
Jessica Chaar
Cursus: Data Mining and Analysis
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Ik vond vooral de trainer die echte voorbeelden gaf.
Simon Hahn
Cursus: Administrator Training for Apache Hadoop
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Ik genoot oprecht van de grote competenties van Trainer.
Grzegorz Gorski
Cursus: Administrator Training for Apache Hadoop
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Ik genoot enorm van de vele hands-on sessies.
Jacek Pieczątka
Cursus: Administrator Training for Apache Hadoop
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Ik vond de nieuwe inzichten in deep machine learning leuk.
Josip Arneric
Cursus: Neural Network in R
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We hebben wat kennis opgedaan van NN in het algemeen en wat voor mij het meest interessant was, waren de nieuwe typen NN die tegenwoordig populair zijn.
Tea Poklepovic
Cursus: Neural Network in R
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Ik genoot vooral van de grafieken in R :))).
Faculty of Economics and Business Zagreb
Cursus: Neural Network in R
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openheid, goede sfeer, samenwerking met de leraar
PAA
Cursus: Mathematica - wprowadzenie, wizualizacja i prezentacja danych
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Kennis van de docent
Bartosz Stefańczyk
Cursus: Minitab dla Statystyków i Analityków
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Ik heb echt baat gehad bij de flexibiliteit van de trainer.
Irina Ostapenko
Cursus: Statistics Level 2
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De flexibele en vriendelijke stijl. Leren wat nuttig en relevant was voor mij.
Jenny Tickner
Cursus: Advanced R
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Ik heb genoten van de geleverde Excel-sheets met de oefeningen met voorbeelden. Dit betekende dat als Tamil werd opgehouden om andere mensen te helpen, ik kon doorgaan met de volgende delen.
Luke Pontin
Cursus: Data and Analytics - from the ground up
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Leren hoe je Excel op de juiste manier kunt gebruiken.
Torin Mitchell
Cursus: Data and Analytics - from the ground up
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De manier waarop de trainer complexe onderwerpen gemakkelijk te begrijpen maakte.
Adam Drewry
Cursus: Data and Analytics - from the ground up
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Gedetailleerde en uitgebreide instructie gegeven door ervaren en duidelijk deskundige op dit gebied.
Justin Roche
Cursus: Data and Analytics - from the ground up
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Tamil is een zeer goed geïnformeerd en aardig persoon, ik heb veel van hem geleerd.
Aleksandra Szubert
Cursus: Data and Analytics - from the ground up
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Ik vond de eerste sessie leuk. Zeer intensief en snel.
Digital Jersey
Cursus: Data and Analytics - from the ground up
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Ik vond vooral het geduld van Tamil leuk.
Laszlo Maros
Cursus: Data and Analytics - from the ground up
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Ik had echt baat bij de praktische praktijkvoorbeelden.
Wioleta (Vicky) Celinska-Drozd
Cursus: Data and Analytics - from the ground up
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Beantwoordde alle onderwerpverzoeken en nam veel tijd om te antwoorden.
HSH Nordbank AG
Cursus: Prognosen mit R
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De gratis oefeningen.
Sabine Stammberger
Cursus: Prognosen mit R
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Veel kennis - theoretisch en praktisch.
Anna Alechno
Cursus: Forecasting with R
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Ik vond zijn kennis en praktische voorbeelden oprecht leuk.
Irina Tulgara
Cursus: Forecasting with R
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Overzicht en begrip van hoe groot het onderwerp is.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Cursus: Forecasting with R
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goede interactie met de trainer, dynamische uitwisseling van kennis
NIIT Limited
Cursus: Data Analytics With R
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Praktische voorbeelden waren het nuttigst.
Sean Kaukas
Cursus: Introduction to R
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Ik heb genoten van de 2e dag dat we veel voorbeelden van O & O-metingen hebben gedaan.
Vascutek Ltd
Cursus: Minitab for Statistical Data Analysis
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Ik vond de oefeningen echt leuk - gebruik van Minicab.
Vascutek Ltd
Cursus: Minitab for Statistical Data Analysis
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Michael de trainer is zeer deskundig en bekwaam met betrekking tot het onderwerp Big Data en R. Hij is zeer flexibel en past de training aan op de behoefte van de klant. Hij is ook zeer capabel om technische en probleemproblemen onderweg op te lossen. Fantastische en professionele training !.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
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Ik heb echt genoten van de introductie van nieuwe pakketten.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
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De tutor, de heer Michael Yan, had een goede interactie met het publiek, de instructie was duidelijk. De tutor doet ook zijn best om meer informatie toe te voegen op basis van de verzoeken van de studenten tijdens de training.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
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Het onderwerp en het tempo waren perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
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Statistics subcategorieën
Statistics Cursusoverzicht
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
Audience
Financial or market analysts, managers, accountants
Course Objectives
Facilitate and automate all kinds of financial analysis with Microsoft Excel
Financial or market analysts, managers, accountants
Course Objectives
Facilitate and automate all kinds of financial analysis with Microsoft Excel
14 hours
Overview
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.
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.
14 hours
Overview
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...
28 hours
Overview
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)
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)
14 hours
Overview
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.
35 hours
Overview
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.
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.
14 hours
Overview
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.
28 hours
Overview
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
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
35 hours
Overview
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.
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.
7 hours
Overview
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.
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.
14 hours
Overview
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.
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.
21 hours
Overview
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.
28 hours
Overview
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 hours
Overview
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.
21 hours
Overview
[R](http://www.r-project.org/) is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.
Audience
Developers / data analytics
Duration
3 days
Format
Lectures and Hands-on
Audience
Developers / data analytics
Duration
3 days
Format
Lectures and Hands-on
21 hours
Overview
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 hours
Overview
This course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions
14 hours
Overview
Mathematica consists of 20 years of creating the most powerful specialized mathematical software engine in the world.
Its versatility makes it useful not only for doing basic academic calculations but also completing complicated calculations, like programming or numerical data presentations.
Mathematica integrates software engines doing numerical andsymbolic computation, as well as graph analysis software, programming language, document formats and the possibility of publishing your work results.
Thanks to multiplicity of its functions it’s a priceless tool for mathematicians, physicists, biologists, chemists, financial analysts, sociologists and many more professions that deal with data.
Participants will gain skills to
- perform calculations efficiently
- understanding program commands
- creating text documents
- building charts and graphs
- data presentations
Its versatility makes it useful not only for doing basic academic calculations but also completing complicated calculations, like programming or numerical data presentations.
Mathematica integrates software engines doing numerical andsymbolic computation, as well as graph analysis software, programming language, document formats and the possibility of publishing your work results.
Thanks to multiplicity of its functions it’s a priceless tool for mathematicians, physicists, biologists, chemists, financial analysts, sociologists and many more professions that deal with data.
Participants will gain skills to
- perform calculations efficiently
- understanding program commands
- creating text documents
- building charts and graphs
- data presentations
14 hours
Overview
Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems.
In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.
By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.
Audience
- Data scientists and engineers, especially with interest in image processing and facial recognition
Format of the course
- Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.
By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.
Audience
- Data scientists and engineers, especially with interest in image processing and facial recognition
Format of the course
- Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
14 hours
Overview
Organization – Lab work and practical examples on real data
14 hours
Overview
Tableau helps people see and understand data.
14 hours
Overview
This instructor-led, live training in Nederland (online or onsite) is aimed at data analysts who wish to apply Minitab statistical analysis to Six Sigma projects.
By the end of this training, participants will be able to:
- Use Minitab for performing advanced statistical analysis.
- Apply Six Sigma methodology to specific projects.
- Gain knowledge on Six Sigma projects across industries.
By the end of this training, participants will be able to:
- Use Minitab for performing advanced statistical analysis.
- Apply Six Sigma methodology to specific projects.
- Gain knowledge on Six Sigma projects across industries.
14 hours
Overview
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 ...)
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 ...)
14 hours
Overview
The objective of the course is to enable participants to gain a mastery of the basics of modelling and forecasting for government.
21 hours
Overview
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.
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.
14 hours
Overview
This course is an introduction to applying neural networks in real world problems using R-project software.
7 hours
Overview
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
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
14 hours
Overview
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.
Last Updated:
Aankomende Statistics cursussen
14-12-2021 09:30
Amsterdam
14 hours
06-01-2022 09:30
Amsterdam
14 hours
11-01-2022 09:30
Amsterdam
14 hours
17-01-2022 09:30
Amsterdam
14 hours
24-01-2022 09:30
Amsterdam
35 hours
Weekend Statistics cursus, Avond Statistics training, Avond Statistics opleiding Statistics boot camp, Statistics instructeur geleid, Weekend Statistics training, Avond Statistics cursus, Statistics coaching, Statistics instructeur, Statistics trainer, Statistics training cursus, Statistics lessen, Statistics on-site, Statistics privé cursus, Statistics een op een training, Statistics op locatie, Weekend Statistics opleiding
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