Місцеві, під керівництвом інструктора Live статистичні курси навчання демонструють інтерактивні дискусії і практичний досвід, як застосовувати статистичні принципи для розв'язання реальних проблем.
Статистика навчання доступна як "на місці навчання" або "дистанційне навчання жити". На місці навчання в прямому ефірі може здійснюватися на місцевому рівні в україні або в Неbleprog корпоративні навчальні центри в україні. Дистанційне навчання в прямому ефірі здійснюється шляхом інтерактивного, віддаленого робочого стола.
Nobleпрога-ваш місцевий навчальний провайдер
Machine Translated
Відгуки
Матеріал охоплює було цікаво, і тренер був обізнаний.
Neghat Khan
Курси: Modelling and Forecasting for Government
Machine Translated
Go Od взаєморозуміння з аудиторією, Good & доступні пояснення/презентація, і він має відношення ' Tech ' Stuff в реальному житті прикладів, що робить речі легше зрозуміти.
Ray Rusike
Курси: Modelling and Forecasting for Government
Machine Translated
Я отримав вигоду від відмінних знань тренера, корисних прикладів.
Jonathan Harrison
Курси: Modelling and Forecasting for Government
Machine Translated
Теми були актуальними для моєї ролі, і я зможу використовувати це негайно в моїй роботі і в майбутньому.
Rani Nandra
Курси: Modelling and Forecasting for Government
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Він був дуже інформативним і корисним.
Pratheep Ravy
Курси: Predictive Modelling with R
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Я щиро користувався допомогу тренера.
Urszula Kuza
Курси: Tableau Advanced
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Я отримую відповіді на всі мої питання.
Natalia Gladii
Курси: Data Analytics With R
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Багато питань, які можуть бути вивчені після тренування
Klaudia Kłębek
Курси: Data Mining z wykorzystaniem R
Machine Translated
Тренінг був адаптованим і індивідуальним для наших потреб.
Dominique Soulie
Курси: Minitab for Statistical Data Analysis
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Я любив вправи, як це єдиний спосіб дізнатися, за повторення.
David Rushe
Курси: Tableau Advanced
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Тренер був настільки добре обізнаний і включив області я був зацікавлений.
Mohamed Salama
Курси: Data Mining & Machine Learning with R
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Дуже пристосована до потреб.
Yashan Wang
Курси: Data Mining with R
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Я щиро користувався робочим 1:1 з навідника.
Bryant Ives
Курси: Introduction to R
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Дуже узгоджене та систематичне оновлення моделей прогнозування та корисних програм.
Marco D'Alterio
Курси: Modelling and Forecasting for Government
Machine Translated
Мені сподобалася статистика перепідготовки та використання програмного забезпечення для вправ.
Rabeeah Shah
Курси: Modelling and Forecasting for Government
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Мені подобається вправи зробили.
Nour Assaf
Курси: Data Mining and Analysis
Machine Translated
Практичний вправи і тренер здатності пояснювати складні теми простими термінами.
youssef chamoun
Курси: Data Mining and Analysis
Machine Translated
Я дізнався про багато методів, які я не знав про раніше.
Alexandra Torok
Курси: Modelling and Forecasting for Government
Machine Translated
Надана інформація була цікавою і найкраща частина була до кінця, коли ми були надані дані з Durex і працював над даними, які ми знайомі з і виконувати операції, щоб отримати результати.
Jessica Chaar
Курси: Data Mining and Analysis
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Я в основному сподобався тренер даючи реальні приклади жити.
Simon Hahn
Курси: Administrator Training for Apache Hadoop
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Я щиро користувався великими компетенціями тренера.
Grzegorz Gorski
Курси: Administrator Training for Apache Hadoop
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Я щиро користувався багатьма практичний сесій.
Jacek Pieczątka
Курси: Administrator Training for Apache Hadoop
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Мені сподобався новий погляд на глибоке Машинне навчання.
Josip Arneric
Курси: Neural Network in R
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Ми отримали деякі знання про NN в цілому, і те, що було найбільш цікавим для мене були нові типи н. н., які популярні в наш час.
Tea Poklepovic
Курси: Neural Network in R
Machine Translated
Я в основному користувався графи в R:))).
Faculty of Economics and Business Zagreb
Курси: Neural Network in R
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Відкритість, хороша атмосфера, співпраця з провідними
PAA
Курси: Mathematica - wprowadzenie, wizualizacja i prezentacja danych
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Знання викладача
Bartosz Stefańczyk
Курси: Minitab dla Statystyków i Analityków
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Я щиро отримав вигоду від гнучкості тренера.
Irina Ostapenko
Курси: Statistics Level 2
Machine Translated
Гнучкий і доброзичливий стиль. Навчання саме те, що було корисним і актуальним для мене.
Jenny Tickner
Курси: Advanced R
Machine Translated
Мені подобалося листи Excel , що надаються з вправи з прикладами. Це означало, що якщо тамільська була проведена допомога іншим людям, я міг би тріщини з наступними частинами.
Luke Pontin
Курси: Data and Analytics - from the ground up
Machine Translated
Навчання як правильно використовувати Excel.
Torin Mitchell
Курси: Data and Analytics - from the ground up
Machine Translated
Те, як тренер зробив складні предмети легко зрозуміти.
Adam Drewry
Курси: Data and Analytics - from the ground up
Machine Translated
Детальна та комплексна інструкція, надана досвідченими та чітко обізнаним експертом з цього питання.
Justin Roche
Курси: Data and Analytics - from the ground up
Machine Translated
Таміл дуже добре обізнаний і приємний чоловік, я дізнався від нього багато.
Aleksandra Szubert
Курси: Data and Analytics - from the ground up
Machine Translated
Мені сподобалася перша сесія. Дуже інтенсивний і швидкий.
Digital Jersey
Курси: Data and Analytics - from the ground up
Machine Translated
Я в основному любив терпіння Таміл.
Laszlo Maros
Курси: Data and Analytics - from the ground up
Machine Translated
Я дійсно отримав вигоду з реальних практичних прикладів життя.
Wioleta (Vicky) Celinska-Drozd
Курси: Data and Analytics - from the ground up
Machine Translated
Відповідаючи на всі теми і зайняти багато часу, щоб відповісти на них.
HSH Nordbank AG
Курси: Prognosen mit R
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Вільних вправ.
Sabine Stammberger
Курси: Prognosen mit R
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Багато знань-теоретичні та практичні.
Anna Alechno
Курси: Forecasting with R
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Я щиро любив свої знання і практичні приклади.
Irina Tulgara
Курси: Forecasting with R
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Огляд і розуміння того, наскільки велика тема.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Курси: Forecasting with R
Machine Translated
Хороша взаємодія з тренером, динамічний обмін знаннями
NIIT Limited
Курси: Data Analytics With R
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Руки на прикладах були найбільш корисними.
Sean Kaukas
Курси: Introduction to R
Machine Translated
Мені подобалося 2-й день ми зробили багато прикладів калібрувальних R&R.
Vascutek Ltd
Курси: Minitab for Statistical Data Analysis
Machine Translated
Мені дійсно подобалася гімнастика-використання Мініаб.
Vascutek Ltd
Курси: Minitab for Statistical Data Analysis
Machine Translated
Майкл тренер дуже добре обізнаний і вміла про предмет Big Data і R. Він дуже гнучкий і швидко налаштувати підготовку клієнтів задоволення потреб. Він також дуже здатний вирішувати технічні проблеми і питання предмета на ходу. Фантастична і професійна підготовка!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
Machine Translated
Мені дуже подобалося введення нових пакетів.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
Machine Translated
Репетитор, містер Майкл Ян, дуже добре спілкувався з аудиторією, інструкція була зрозумілою. Викладач також намагається додати більше інформації на основі запитів студентів під час навчання.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
Machine Translated
Предмет і темпи були досконалими.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
Machine Translated
Statistics Підкатегорії
Statistics Зміст курсу
Назва курсу
Тривалість
Огляд
Назва курсу
Тривалість
Огляд
14 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
[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 годин
Огляд
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 годин
Огляд
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
7 годин
Огляд
The Wolfram System's integrated environment makes it an efficient tool for both analyzing and presenting data. This course covers aspects of the Wolfram Language relevant to analytics, including statistical computation, visualization, data import and export and automatic generation of reports.
14 годин
Огляд
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 годин
Огляд
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 годин
Огляд
Organization – Lab work and practical examples on real data
14 годин
Огляд
This instructor-led, live training in україні (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 годин
Огляд
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 годин
Огляд
The objective of the course is to enable participants to gain a mastery of the basics of modelling and forecasting for government.
21 годин
Огляд
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 годин
Огляд
This course is an introduction to applying neural networks in real world problems using R-project software.
7 годин
Огляд
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
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Online Statistics courses, 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
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