현지 강사 주도 라이브 통계 교육 과정은 실제 문제 해결에 통계 원리를 적용하는 방법에 대한 대화식 토론 및 실제 연습을 통해 시연합니다.
통계 교육은 "현장 실습"또는 "원격 실습"으로 제공됩니다. 현장 실습은 고객 오피스에서 현지에서 실시 할 수 있고 또는 NobleProg 교육 센터에서도 수강 가능합니다. 원격 라이브 교육은 대화형 원격 데스크톱을 통해 수행됩니다.
회원 평가
다루는 재료는 재미 있었고 트레이너는 잘 알고있었습니다.
Neghat Khan
Course: Modelling and Forecasting for Government
Machine Translated
청중과의 좋은 교감, 좋은 & 접근 가능한 설명 / 프리젠 테이션 그리고 그는 일을 이해하기 쉽게 만들어주는 실용적인 예들과 '기술적 인'것들을 관련시킨다.
Ray Rusike
Course: Modelling and Forecasting for Government
Machine Translated
트레이너에 대한 훌륭한 지식, 유용한 예제
Jonathan Harrison
Course: Modelling and Forecasting for Government
Machine Translated
주제는 저의 역할과 관련이 있으며, 저는 저의 업무와 미래에 이것을 즉시 사용할 수있을 것입니다.
Rani Nandra
Course: Modelling and Forecasting for Government
Machine Translated
그는 매우 유익하고 도움이되었습니다.
Pratheep Ravy
Course: Predictive Modelling with R
Machine Translated
트레이너의 도움.
Urszula Kuza
Course: Tableau Advanced
Machine Translated
내 모든 질문에 대한 답변을 얻습니다. Natalia Gladii - CBRE Corp
Natalia Gladii
Course: Data Analytics With R
Machine Translated
교육 후에 탐구 할 수있는 많은 문제 Klaudia Kłębek
Klaudia Kłębek
Course: Data Mining z wykorzystaniem R
Machine Translated
교육은 우리의 필요에 맞게 조정되고 개인화되었습니다.
Dominique Soulie
Course: Minitab for Statistical Data Analysis
Machine Translated
재 훈련을 통해 배우는 유일한 방법이기 때문에 연습하십시오.
David Rushe
Course: Tableau Advanced
Machine Translated
트레이너는 매우 지식이 많았고 내가 관심이있는 영역을 포함했습니다.
Mohamed Salama
Course: Data Mining & Machine Learning with R
Machine Translated
필요에 매우 맞춘
Yashan Wang
Course: Data Mining with R
Machine Translated
Gunnar와 1 : 1로 작업하십시오.
Bryant Ives
Course: Introduction to R
Machine Translated
예측 모델과 유용한 응용 프로그램에 대한 매우 일관되고 체계적인 새로 고침.
Marco D'Alterio
Course: Modelling and Forecasting for Government
Machine Translated
통계 재교육 및 연습용 소프트웨어 사용
Rabeeah Shah
Course: Modelling and Forecasting for Government
Machine Translated
나는 운동을 좋아한다.
Nour Assaf
Course: Data Mining and Analysis
Machine Translated
복잡한 주제를 간단한 용어로 설명 할 수있는 운동 및 트레이너 역량
youssef chamoun
Course: Data Mining and Analysis
Machine Translated
나는 전에 몰랐던 많은 기술에 대해 배웠습니다.
Alexandra Torok
Course: Modelling and Forecasting for Government
Machine Translated
주어진 정보는 흥미로 우며, 가장 중요한 부분은 우리가 Murex의 데이터를 제공 받았고 우리가 익숙한 데이터를 작업하고 결과를 얻기 위해 작업을 수행 할 때였습니다
Jessica Chaar
Course: Data Mining and Analysis
Machine Translated
트레이너가 예를 보여줍니다
Simon Hahn
Course: Administrator Training for Apache Hadoop
Machine Translated
트레이너의 큰 역량
Grzegorz Gorski
Course: Administrator Training for Apache Hadoop
Machine Translated
많은 핸드슨 세션
Jacek Pieczątka
Course: Administrator Training for Apache Hadoop
Machine Translated
깊은 기계 학습에 대한 새로운 통찰력
Josip Arneric
Course: Neural Network in R
Machine Translated
우리는 일반적으로 NN에 대한 지식을 얻었으며 요즘 인기있는 새로운 유형의 NN이 나에게 가장 흥미로운 것은 무엇입니까?
Tea Poklepovic
Course: Neural Network in R
Machine Translated
그래프는 R :)))
Faculty of Economics and Business Zagreb
Course: Neural Network in R
Machine Translated
개방감, 좋은 분위기, 교사와의 협력
PAA
Course: Mathematica - wprowadzenie, wizualizacja i prezentacja danych
Machine Translated
강사에 대한 지식 Bartosz St
Bartosz Stefańczyk
Course: Minitab dla Statystyków i Analityków
Machine Translated
트레이너의 유연성
Irina Ostapenko
Course: Statistics Level 2
Machine Translated
유연하고 친절한 스타일. 나를 위해 유용하고 관련성이 높은 것을 정확하게 배웁니다
Jenny Tickner
Course: Advanced R
Machine Translated
나는 예제를 가지고 연습을하는 엑셀 시트를 즐겼다. 이것은 카밀이 다른 사람들을 돕기 위해 붙잡 혔을 때, 나는 다음 부분으로 갈라 갈 수 있다는 것을 의미했다
Luke Pontin
Course: Data and Analytics - from the ground up
Machine Translated
사용법을 배우는 것이 적절하게 탁월합니다
Torin Mitchell
Course: Data and Analytics - from the ground up
Machine Translated
강사가 복잡한 과목을 이해하기 쉽게 만든 방법
Adam Drewry
Course: Data and Analytics - from the ground up
Machine Translated
주제에 경험 있고 명확하게 지식이있는 전문가에 의해 주어진 상세하고 포괄적 인 지시
Justin Roche
Course: Data and Analytics - from the ground up
Machine Translated
Kamil은 매우 지식 있고 좋은 사람입니다. 나는 그에게서 많은 것을 배웠습니다.
Aleksandra Szubert
Course: Data and Analytics - from the ground up
Machine Translated
첫 번째 세션. 매우 집중적이고 빠른
Digital Jersey
Course: Data and Analytics - from the ground up
Machine Translated
카밀의 인내심
Laszlo Maros
Course: Data and Analytics - from the ground up
Machine Translated
실제 생활의 실례
Wioleta (Vicky) Celinska-Drozd
Course: Data and Analytics - from the ground up
Machine Translated
모든 주제 요청에 응답하고 답변하는 데 많은 시간을 보냈습니다. HSH Nordbank AG
HSH Nordbank AG
Course: Prognosen mit R
Machine Translated
무료 연습. Sabi
Sabine Stammberger
Course: Prognosen mit R
Machine Translated
많은 지식과 이론이 실용적입니다
Anna Alechno
Course: Forecasting with R
Machine Translated
그의 knowlede 및 실용 exemples
Irina Tulgara
Course: Forecasting with R
Machine Translated
주제가 얼마나 큰지 개요 및 이해
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Course: Forecasting with R
Machine Translated
트레이너와의 좋은 상호 작용, 지식의 역동적 인 교환 NIIT Limited
NIIT Limited
Course: Data Analytics With R
Machine Translated
보기에 손이 가장 도움이되었습니다
Sean Kaukas
Course: Introduction to R
Machine Translated
2 일째 우리는 R & R & Criticality 평가 시험의 많은 사례를 수행했습니다
Vascutek Ltd
Course: Minitab for Statistical Data Analysis
Machine Translated
Minitab 사용을 연습합니다
Vascutek Ltd
Course: Minitab for Statistical Data Analysis
Machine Translated
Michael의 강사는 Big Data 및 R의 주제에 대해 매우 잘 알고 있으며 숙련되어 있습니다. 그는 매우 유연하고 신속하게 고객의 필요를 충족시키기 위해 교육을 사용자 정의합니다. 그는 또한 이동 중에도 기술 및 주제 문제를 해결할 수있는 능력이 뛰어납니다. 환상적이고 전문적인 교육!!
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
Machine Translated
새로운 패키지의 도입Ottawa Researc
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
Machine Translated
교사 인 마이클 얀 (Michael Yan)은 청중과 매우 잘 교류했으며, 수업은 분명했습니다. 튜터는 또한 훈련 중 학생들의 요청에 따라 더 많은 정보를 추가합니다.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
Machine Translated
주제와 속도는 완벽했습니다Tim - Ottawa Resear
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
Machine Translated
통계코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
14 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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 시간
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
7 시간
Overview
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 시간
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 시간
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 시간
Overview
Organization – Lab work and practical examples on real data
14 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
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 시간
Overview
The objective of the course is to enable participants to gain a mastery of the basics of modelling and forecasting for government.
21 시간
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 시간
Overview
This course is an introduction to applying neural networks in real world problems using R-project software.
7 시간
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
향후통계 코스
2021-07-05 10:00:00
28 hours
2021-07-26 10:00:00
21 hours
2021-08-02 10:00:00
21 hours
2021-08-04 10:00:00
21 hours
2021-08-23 10:00:00
28 hours
Other countries
Consulting
주말통계코스, 밤의통계트레이닝, 통계부트 캠프, 통계 강사가 가르치는, 주말통계교육, 밤의통계과정, 통계코칭, 통계강사, 통계트레이너, 통계교육 과정, 통계클래스, 통계현장, 통계개인 강좌, 통계1 대 1 교육
.png "aeronautical radio, incorporated (arinc)"){kind=small}
_ireland.gif "environmental protection agency (epa) ireland")
.jpg "european southern observatory (eso)")
