本地的，有指导的实时统计培训课程通过互动讨论和实践练习，展示如何将统计原理应用于解决现实世界问题。统计培训可作为“现场实时培训”或“远程实时培训”。现场实地培训可在当地客户现场进行中国或者在NobleProg公司的培训中心中国 。远程实时培训通过交互式远程桌面进行。 NobleProg您当地的培训提供商。
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客户评论
他的信息非常丰富，乐于助人。
Pratheep Ravy
课程: Predictive Modelling with R
Machine Translated
我真的很喜欢教练的帮助。
Urszula Kuza
课程: Tableau Advanced
Machine Translated
我在所有问题上得到答案..
Natalia Gladii
课程: Data Analytics With R
Machine Translated
培训后可以探索很多问题。
Klaudia Kłębek
课程: Data Mining z wykorzystaniem R
Machine Translated
培训适应性强，个性化，符合我们的需求。
Dominique Soulie
课程: Minitab for Statistical Data Analysis
Machine Translated
我喜欢练习，因为这是通过重复学习的唯一方法。
David Rushe
课程: Tableau Advanced
Machine Translated
培训师知识渊博，包括我感兴趣的领域。
Mohamed Salama
课程: Data Mining & Machine Learning with R
Machine Translated
非常适合需求。
Yashan Wang
课程: Data Mining with R
Machine Translated
我真的很喜欢与Gunner一起工作1：1。
Bryant Ives
课程: Introduction to R
Machine Translated
我喜欢做的练习。
Nour Assaf
课程: Data Mining and Analysis
Machine Translated
动手练习和培训师能够用简单的术语解释复杂的主题。
youssef chamoun
课程: Data Mining and Analysis
Machine Translated
所提供的信息很有意思，最好的部分是在我们从Durex获得数据并且处理我们熟悉的数据并执行操作以获得结果时。
Jessica Chaar
课程: Data Mining and Analysis
Machine Translated
我最喜欢教练提供真实的实例。
Simon Hahn
课程: Administrator Training for Apache Hadoop
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我真的很享受培训师的巨大能力。
Grzegorz Gorski
课程: Administrator Training for Apache Hadoop
Machine Translated
我真的很喜欢这些实践课程。
Jacek Pieczątka
课程: Administrator Training for Apache Hadoop
Machine Translated
我喜欢深度机器学习的新见解。
Josip Arneric
课程: Neural Network in R
Machine Translated
我们获得了一些关于NN的知识，对我来说最有趣的是现在流行的新型NN。
Tea Poklepovic
课程: Neural Network in R
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我最喜欢R :)））中的图表。
Faculty of Economics and Business Zagreb
课程: Neural Network in R
Machine Translated
开放，良好的氛围，与老师的合作。
PAA
课程: Mathematica - wprowadzenie, wizualizacja i prezentacja danych
Machine Translated
讲师的知识Bartos
Bartosz Stefańczyk
课程: Minitab dla Statystyków i Analityków
Machine Translated
我真的受益于培训师的灵活性。
Irina Ostapenko
课程: Statistics Level 2
Machine Translated
灵活友好的风格。准确学习什么对我有用和相关。
Jenny Tickner
课程: Advanced R
Machine Translated
我喜欢提供带有示例练习的Excel表格。这意味着，如果泰米尔语被阻止帮助其他人，我可以继续使用下一部分。
Luke Pontin
课程: Data and Analytics - from the ground up
Machine Translated
学习如何正确使用excel。
Torin Mitchell
课程: Data and Analytics - from the ground up
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培训师使复杂科目易于理解的方式。
Adam Drewry
课程: Data and Analytics - from the ground up
Machine Translated
由经验丰富，知识渊博的专家就此主题提供的详细而全面的指导。
Justin Roche
课程: Data and Analytics - from the ground up
Machine Translated
泰米尔人是一位知识渊博，善良的人，我从他身上学到了很多东西。
Aleksandra Szubert
课程: Data and Analytics - from the ground up
Machine Translated
我喜欢第一次会议。非常密集和快速。
Digital Jersey
课程: Data and Analytics - from the ground up
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我最喜欢泰米尔人的耐心。
Laszlo Maros
课程: Data and Analytics - from the ground up
Machine Translated
我真的受益于现实生活中的实际例子。
Wioleta (Vicky) Celinska-Drozd
课程: Data and Analytics - from the ground up
Machine Translated
回答了所有的主题请求并花了很多时间回答。
HSH Nordbank AG
课程: Prognosen mit R
Machine Translated
免费练习。
Sabine Stammberger
课程: Prognosen mit R
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很多知识 - 理论和实践。
Anna Alechno
课程: Forecasting with R
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我真的很喜欢他的知识和实际例子。
Irina Tulgara
课程: Forecasting with R
Machine Translated
概述和理解主题有多大。
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
课程: Forecasting with R
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与培训师良好的互动，知识的动态交流。
NIIT Limited
课程: Data Analytics With R
Machine Translated
动手实例最有帮助。
Sean Kaukas
课程: Introduction to R
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我很享受第二天我们做了很多规格R＆R的例子。
Vascutek Ltd
课程: Minitab for Statistical Data Analysis
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我真的很喜欢这些练习 - 使用Minicab。
Vascutek Ltd
课程: Minitab for Statistical Data Analysis
Machine Translated
迈克尔培训师对大数据和R的主题非常了解和熟练。他非常灵活，能够快速定制满足客户需求的培训。他也非常有能力在旅途中解决技术和主题问题。神奇而专业的训练！
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
Machine Translated
我非常喜欢推出新包装。
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
Machine Translated
导师Michael Yan先生很好地与观众互动，指导很明确。导师还可以根据培训期间学生的要求添加更多信息。
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
Machine Translated
主题和节奏是完美的。
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
Machine Translated
R的良好概述和良好的主题范围。培训师很乐意回答所有问题。
Symphony EYC
课程: R
Machine Translated
我非常喜欢教练的知识。
Stephanie Seiermann
课程: R
Machine Translated
这是非常翔实和专业的举办。 Wojteks的知识水平非常先进，他基本上可以回答任何问题，他愿意努力使培训符合我的个人需求。
Sonja Steiner - BearingPoint GmbH
课程: R Programming for Data Analysis
Machine Translated
很多练习，我可以直接在我的工作中使用。
Alior Bank S.A.
课程: Sieci Neuronowe w R
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真实数据的例子。
Alior Bank S.A.
课程: Sieci Neuronowe w R
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神经网络，循环中的pROC。
Alior Bank S.A.
课程: Sieci Neuronowe w R
Machine Translated
这是非常亲力亲为的，我们花了一半的时间实际在Clouded / Hardtop做事，运行不同的命令，检查系统，等等。额外的材料（书籍，网站等）真的很感激，我们将不得不继续学习。安装非常有趣，而且非常方便，从头开始的集群设置非常好。
Ericsson
课程: Administrator Training for Apache Hadoop
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统计课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
[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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
This instructor-led, live training in 中国 (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小时
课程概览
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 ...)
21小时
课程概览
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小时
课程概览
This course is an introduction to applying neural networks in real world problems using R-project software.
7小时
课程概览
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小时
课程概览
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.
21小时
课程概览
Big Data is a term that refers to solutions destined for storing and processing large data sets. Developed by Google initially, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.
近期统计培训课程
30-08-2021 09:30
上海 - 上海中区广场
14 小时
02-09-2021 09:30
上海 - 上海中区广场
14 小时
13-09-2021 09:30
上海 - 上海中区广场
35 小时
23-09-2021 09:30
上海 - 上海中区广场
14 小时
28-09-2021 09:30
上海 - 上海中区广场
28 小时
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.jpg "european molecular biology laboratory (embl)")
.jpg "european organization for nuclear research (cern)")
.jpg "international air transport association (iata)")
