I corsi di formazione in tempo reale locali, istruttori, dimostrano attraverso discussioni interattive e esercitazioni pratiche su come applicare i principi statistici alla risoluzione dei problemi del mondo reale L'addestramento sulle statistiche è disponibile come "allenamento dal vivo sul posto" o "allenamento dal vivo a distanza" La formazione on-site in loco può essere svolta localmente presso la sede del cliente in Italia o nei centri di formazione aziendale NobleProg in Italia La formazione in remoto dal vivo viene effettuata tramite un desktop remoto interattivo NobleProg Il tuo fornitore di formazione locale.
Machine Translated
Recensioni
Il materiale coperto era interessante e il formatore era ben informato.
Neghat Khan
Corso: Modelling and Forecasting for Government
Machine Translated
Buon rapporto con il pubblico, buona e accessibile spiegazione / presentazione e mette in relazione le cose "tecnologiche" con esempi di vita reale che rendono le cose più facili da capire.
Ray Rusike
Corso: Modelling and Forecasting for Government
Machine Translated
Ho tratto beneficio dall'eccellente conoscenza del formatore, esempi utili.
Jonathan Harrison
Corso: Modelling and Forecasting for Government
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Gli argomenti erano rilevanti per il mio ruolo e potrò usarlo immediatamente nel mio lavoro e in futuro.
Rani Nandra
Corso: Modelling and Forecasting for Government
Machine Translated
Lui è stato molto istruttivo e utile.
Pratheep Ravy
Corso: Predictive Modelling with R
Machine Translated
Ho davvero apprezzato l'aiuto dell'istruttore.
Urszula Kuza
Corso: Tableau Advanced
Machine Translated
Ottengo risposte su tutte le mie domande.
Natalia Gladii
Corso: Data Analytics With R
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Un sacco di problemi che possono essere esplorati dopo la formazione
Klaudia Kłębek
Corso: Data Mining z wykorzystaniem R
Machine Translated
La formazione è stata adattabile e personalizzata alle nostre esigenze.
Dominique Soulie
Corso: Minitab for Statistical Data Analysis
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Mi sono piaciuti gli esercizi in quanto è l'unico modo per imparare, per ripetizione.
David Rushe
Corso: Tableau Advanced
Machine Translated
L'allenatore era così preparato e comprendeva le aree che mi interessavano.
Mohamed Salama
Corso: Data Mining & Machine Learning with R
Machine Translated
Molto su misura per esigenze.
Yashan Wang
Corso: Data Mining with R
Machine Translated
Mi è davvero piaciuto lavorare 1: 1 con Gunner.
Bryant Ives
Corso: Introduction to R
Machine Translated
Un aggiornamento molto coerente e sistematico su modelli di previsione e applicazioni utili.
Marco D'Alterio
Corso: Modelling and Forecasting for Government
Machine Translated
Mi è piaciuto il refresh delle statistiche e l'utilizzo di software per esercizi.
Rabeeah Shah
Corso: Modelling and Forecasting for Government
Machine Translated
Mi piacciono gli esercizi fatti.
Nour Assaf
Corso: Data Mining and Analysis
Machine Translated
L'esercizio pratico e la capacità del formatore di spiegare argomenti complessi in termini semplici.
youssef chamoun
Corso: Data Mining and Analysis
Machine Translated
Ho imparato molte tecniche che non sapevo prima.
Alexandra Torok
Corso: Modelling and Forecasting for Government
Machine Translated
Le informazioni fornite sono state interessanti e la parte migliore è stata verso la fine quando ci sono stati forniti i dati di Durex e abbiamo lavorato su dati con cui abbiamo familiarità e che eseguiamo operazioni per ottenere risultati.
Jessica Chaar
Corso: Data Mining and Analysis
Machine Translated
Mi è piaciuto soprattutto l'allenatore dando esempi reali dal vivo.
Simon Hahn
Corso: Administrator Training for Apache Hadoop
Machine Translated
Ho davvero apprezzato le grandi competenze di Trainer.
Grzegorz Gorski
Corso: Administrator Training for Apache Hadoop
Machine Translated
Ho davvero apprezzato le molte sessioni pratiche.
Jacek Pieczątka
Corso: Administrator Training for Apache Hadoop
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Mi sono piaciute le nuove intuizioni nel deep machine learning.
Josip Arneric
Corso: Neural Network in R
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Abbiamo acquisito una certa conoscenza di NN in generale, e quello che è stato il più interessante per me sono stati i nuovi tipi di NN che sono popolari al giorno d'oggi.
Tea Poklepovic
Corso: Neural Network in R
Machine Translated
Ho apprezzato soprattutto i grafici in R :))).
Faculty of Economics and Business Zagreb
Corso: Neural Network in R
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apertura, buona atmosfera, cooperazione con l'insegnante
PAA
Corso: Mathematica - wprowadzenie, wizualizacja i prezentacja danych
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Conoscenza del docente
Bartosz Stefańczyk
Corso: Minitab dla Statystyków i Analityków
Machine Translated
Ho davvero beneficiato della flessibilità del trainer.
Irina Ostapenko
Corso: Statistics Level 2
Machine Translated
Lo stile flessibile e amichevole. Imparare esattamente ciò che è stato utile e rilevante per me.
Jenny Tickner
Corso: Advanced R
Machine Translated
Mi sono piaciuti i fogli Excel forniti con gli esercizi con esempi. Ciò significava che se Tamil fosse stato trattenuto ad aiutare altre persone, avrei potuto proseguire con le parti successive.
Luke Pontin
Corso: Data and Analytics - from the ground up
Machine Translated
Imparare come usare eccellentemente.
Torin Mitchell
Corso: Data and Analytics - from the ground up
Machine Translated
Il modo in cui il formatore ha reso le materie complesse facili da capire.
Adam Drewry
Corso: Data and Analytics - from the ground up
Machine Translated
Istruzioni dettagliate e complete fornite da esperti esperti e ben informati sull'argomento.
Justin Roche
Corso: Data and Analytics - from the ground up
Machine Translated
Tamil è una persona molto esperta e simpatica, ho imparato molto da lui.
Aleksandra Szubert
Corso: Data and Analytics - from the ground up
Machine Translated
Mi è piaciuta la prima sessione. Molto intenso e veloce.
Digital Jersey
Corso: Data and Analytics - from the ground up
Machine Translated
Mi è piaciuta soprattutto la pazienza di Tamil.
Laszlo Maros
Corso: Data and Analytics - from the ground up
Machine Translated
Ho davvero tratto beneficio dagli esempi pratici della vita reale.
Wioleta (Vicky) Celinska-Drozd
Corso: Data and Analytics - from the ground up
Machine Translated
Ho risposto a tutte le richieste dell'argomento e ho impiegato molto tempo per rispondere.
HSH Nordbank AG
Corso: Prognosen mit R
Machine Translated
Gli esercizi gratuiti.
Sabine Stammberger
Corso: Prognosen mit R
Machine Translated
Un sacco di conoscenza - teorica e pratica.
Anna Alechno
Corso: Forecasting with R
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Mi è davvero piaciuta la sua conoscenza ed esempi pratici.
Irina Tulgara
Corso: Forecasting with R
Machine Translated
Panoramica e comprensione di quanto è grande l'argomento.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Corso: Forecasting with R
Machine Translated
buona interazione con il formatore, scambio dinamico di conoscenze
NIIT Limited
Corso: Data Analytics With R
Machine Translated
Le mani sugli esempi sono state le più utili.
Sean Kaukas
Corso: Introduction to R
Machine Translated
Mi è piaciuto il secondo giorno abbiamo fatto un sacco di esempi di gauge R & R.
Vascutek Ltd
Corso: Minitab for Statistical Data Analysis
Machine Translated
Mi sono veramente piaciuti gli esercizi - l'uso di Minicab.
Vascutek Ltd
Corso: Minitab for Statistical Data Analysis
Machine Translated
Michael il formatore è molto esperto e abile circa il tema di Big Data e R. È molto flessibile e personalizza rapidamente la formazione soddisfacendo le esigenze dei clienti. È anche molto capace di risolvere problemi tecnici e di argomento in movimento. Formazione fantastica e professionale !.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Corso: Programming with Big Data in R
Machine Translated
Ho davvero apprezzato l'introduzione di nuovi pacchetti.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Corso: Programming with Big Data in R
Machine Translated
Il tutor, il signor Michael Yan, ha interagito molto bene con il pubblico, le istruzioni erano chiare. Il tutor può anche aggiungere ulteriori informazioni in base alle richieste degli studenti durante la formazione.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Corso: Programming with Big Data in R
Machine Translated
L'argomento e il ritmo erano perfetti.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Corso: Programming with Big Data in R
Machine Translated
Sottocategorie Statistics
Schema generale del corso Statistics
Nome del corso
Durata
Overview
Nome del corso
Durata
Overview
14 hours
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
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
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
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
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
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
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
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
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
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
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
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
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
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
[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
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
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
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
Scilab è un linguaggio di alto livello ben sviluppato, gratuito e open source per la manipolazione di dati scientifici. Utilizzato per statistica, grafica e animazione, simulazione, elaborazione del segnale, fisica, ottimizzazione e altro, la sua struttura di dati centrale è la matrice, semplificando molti tipi di problemi rispetto alle alternative come i derivati FORTRAN e C. È compatibile con linguaggi come C, Java e Python , rendendolo adatto all'uso come supplemento ai sistemi esistenti.
In questa formazione guidata da istruttori, i partecipanti apprenderanno i vantaggi di Scilab rispetto alle alternative come Matlab, le basi della sintassi di Scilab e alcune funzioni avanzate e si interfacciano con altre lingue ampiamente utilizzate, a seconda della domanda. Il corso si concluderà con un breve progetto incentrato sull'elaborazione delle immagini.
Al termine di questa formazione, i partecipanti avranno una comprensione delle funzioni di base e di alcune funzioni avanzate di Scilab e avranno le risorse per continuare ad espandere le proprie conoscenze.
Pubblico
- Scienziati e ingegneri dei dati, con particolare interesse per l'elaborazione delle immagini e il riconoscimento facciale
Formato del corso
- Parte lezione, parte discussione, esercitazioni e pratica pratica intensiva, con un progetto finale
In questa formazione guidata da istruttori, i partecipanti apprenderanno i vantaggi di Scilab rispetto alle alternative come Matlab, le basi della sintassi di Scilab e alcune funzioni avanzate e si interfacciano con altre lingue ampiamente utilizzate, a seconda della domanda. Il corso si concluderà con un breve progetto incentrato sull'elaborazione delle immagini.
Al termine di questa formazione, i partecipanti avranno una comprensione delle funzioni di base e di alcune funzioni avanzate di Scilab e avranno le risorse per continuare ad espandere le proprie conoscenze.
Pubblico
- Scienziati e ingegneri dei dati, con particolare interesse per l'elaborazione delle immagini e il riconoscimento facciale
Formato del corso
- Parte lezione, parte discussione, esercitazioni e pratica pratica intensiva, con un progetto finale
14 hours
This instructor-led, live training in Italia (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
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
The objective of the course is to enable participants to gain a mastery of the basics of modelling and forecasting for government.
21 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.
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
This course is an introduction to applying neural networks in real world problems using R-project software.
7 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
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
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.
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