NP Classroom - Thimphu

near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001

Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.

For Sales En...

NP Classroom - Paro

near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001

Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung ...

Subcategories (3)

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R Language
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Forecasting
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Quantitative Analytics

Explore Our Courses

Six Sigma LEAN Yellow Belt

14 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level professionals who wish to have a fundamental understanding of Six Sigma and Lean principles to integrate them and improve business processes. By the end of this training, participants will be able to:
  • Obtain a solid understanding of Lean Six Sigma principles.
  • Use Six Sigma methodologies to improve process quality by removing the causes of defects and minimizing variability.
  • Integrate Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
  • Teach basic Lean Six Sigma tools and techniques that Yellow Belts can apply in process improvement projects, such as 5S, Kaizen, and process mapping.
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Six Sigma DMAIC Black Belt

21 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at advanced-level professionals who wish to gain an in-depth understanding of the Six Sigma DMAIC methodology at a Black Belt level.By the end of this training, participants will be able to:
  • Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases with a focus on complex projects.
  • Gain expertise in advanced statistical analysis techniques for data-driven decision-making.
  • Lead large-scale Six Sigma projects and manage project teams effectively.
  • Implement significant process improvements that align with organizational goals and strategies.
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Six Sigma LEAN Black Belt

21 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at advanced-level professionals who wish to gain the skills to handle complex Six Sigma projects and take a leadership role in Six Sigma and Lean implementations.By the end of this training, participants will be able to:
  • Develop an in-depth understanding of advanced Six Sigma and Lean methodologies and tools.
  • Lead complex process improvement projects that align with organizational strategies.
  • Perform complex statistical analyses and make data-driven decisions.
  • Effectively lead change initiatives and build a culture of continuous improvement.
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Six Sigma DMAIC Green Belt

21 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level professionals who wish to have a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belts.By the end of this training, participants will be able to:
  • Gain a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
  • Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC.
  • Perform and interpret statistical analyses for process improvement.
  • Plan, execute, and manage a Six Sigma project.
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Six Sigma LEAN Green Belt

21 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects in their organizations.By the end of this training, participants will be able to:
  • Develop a comprehensive understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
  • Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
  • Apply advanced statistical tools for data-driven decision-making and process analysis.
  • Lead and manage Lean Six Sigma projects effectively.
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Data Analytics with Tableau, Python, R, and SQL

35 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:
  • Perform data analysis using Python, R, and SQL.
  • Create insights through data visualization with Tableau.
  • Make data-driven decisions for business operations.
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Six Sigma Yellow Belt

14 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level professionals who wish to have a deeper understanding of the Six Sigma methodology and its principles and master the DMAIC process.By the end of this training, participants will be able to:
  • Gain knowledge beyond the basic principles covered in the White Belt course.
  • Master the DMAIC process and learn advanced Six Sigma tools.
  • Learn how to effectively contribute to a Six Sigma project team and collaborate with Green and Black Belts.
  • Apply Six Sigma methodologies to real-world business processes for improvement.
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Six Sigma White Belt

14 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level professionals who wish to have a basic understanding of the Six Sigma methodology and its principles.By the end of this training, participants will be able to:
  • Understand the basics of Six Sigma and learn the DMAIC process.
  • Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project.
  • Learn how to apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.
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Design of Experiments (DoE)

7 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at scientists who wish to learn and use the Design of Experiments (DoE) to understand the cause-and-effect relationship between multiple factors. By the end of this training, participants will be able to:
  • Understand the advantages of designed experiments over other approaches.
  • Understand the cause-and-effect relationships and interactions between factors.
  • Learn the best practices and guidelines for conducting successful experimentation.
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Econometrics: Eviews and Risk Simulator

21 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling. By the end of this training, participants will be able to:
  • Learn and understand the fundamentals of econometrics.
  • Utilize Eviews and risk simulators.
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Data Analytics With R

21 Hours
R 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
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Excel For Statistical Data Analysis

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.
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Data and Analytics - from the ground up

42 Hours
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions: What has happened?
  • processing and analyzing data
  • producing informative data visualizations
What will happen?
  • forecasting future performance
  • evaluating forecasts
What should happen?
  • turning data into evidence-based business decisions
  • optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
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NLP: Natural Language Processing with R

21 Hours
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data. This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements. By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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Talent Acquisition Analytics

14 Hours
This instructor-led, live training (online or onsite) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Analysing Financial Data in Excel

14 Hours
Audience Financial or market analysts, managers, accountants Course Objectives Facilitate and automate all kinds of financial analysis with Microsoft Excel
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R Programming for Excel

21 Hours
This instructor-led, live training in Bhutan (online or onsite) is aimed at data analysts who wish to program in R for Excel. By the end of this training, participants will be able to:
  • Toggle and move data between Excel and R.
  • Use R Tidyverse and R features for data analytic solutions in Excel.
  • Extend their data analytical skills by learning R.
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R Programming for Finance

28 Hours
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to:
  • Understand the fundamentals of the R programming language
  • Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
  • Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
  • Troubleshoot, integrate deploy and optimize an R application
Audience
  • Developers
  • Analysts
  • Quants
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
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HR Analytics for Public Organisations

14 Hours
This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Advanced Statistics using SPSS Predictive Analytics Software

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
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Administrator Training for Apache Hadoop

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.
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Applied Machine Learning

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.
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Data Mining and Analysis

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.
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Introduction to R with Time Series Analysis

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.
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Statistics and Probabilistic Programming in Julia

21 Hours
This course is intended for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.  
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Mathematica - wprowadzenie, wizualizacja i prezentacja danych

14 Hours
The "Mathematica - wprowadzenie, wizualizacja i prezentacja danych" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
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Minitab for Statistical Data Analysis

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.
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R

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.
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R for Statistical Analysis

14 Hours
Organization – Lab work and practical examples on real data
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Scilab

14 Hours
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
Read more...

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Testimonials (50)

I genuinely enjoyed the many hands-on sessions.

Jacek Pieczątka
Course - Administrator Training for Apache Hadoop

I genuinely enjoyed the big competences of Trainer.

Grzegorz Gorski
Course - Administrator Training for Apache Hadoop

I was benefit from the guidance and sharing life examples + answering all questions.

Marta Melloch - Amazon Development Center Poland Sp. z o.o.
Course - Data Mining and Analysis

I really enjoyed the all the best.

Halil polat - Amazon Development Center Poland Sp. z o.o.
Course - Data Mining and Analysis

The information given was interesting and the best part was towards the end when we were provided with Data from Durex and worked on Data we are familiar with and perform operations to get results.

Jessica Chaar
Course - Data Mining and Analysis

I learned new things so that is a good point

Daria - LKQ Polska Sp. z o. o.
Course - Analysing Financial Data in Excel

many exercises

Julia - LKQ Polska Sp. z o. o.
Course - Analysing Financial Data in Excel

1. Clear theoretical explanation of concepts and alternatives to problem solving. 2. Practical examples where concepts are, and can be applied. 3. I learnt skills that I can use in my job, which will make some of my work easier 4. It will definitely bring some innovation into some of the reports I prepare for different Committees.

Sindiso Ndlovu - Export Credit insurance corporation
Course - Excel For Statistical Data Analysis

Well thought out and high grade planning materials.

Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R

he is patient

Abdul De kock - Vodacom
Course - Forecasting with R

I genuinely liked his knowledge and practical examples.

Irina Tulgara
Course - Forecasting with R

A lot of knowledge - theoretical and practical.

Anna Alechno
Course - Forecasting with R

Good detail on what R is used for and how to start using it right away

Hoss Shenassa - Trimac Management Services LP
Course - Introduction to R with Time Series Analysis

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge
Course - Introduction to R with Time Series Analysis

I liked the excercises and how great it was to follow

Elizabeth Seed - Terumo Aortic
Course - Minitab for Statistical Data Analysis

Going through all the different examples and explaining each of the terms.

Lewis Print - Terumo Aortic
Course - Minitab for Statistical Data Analysis

Interactive, well explained and not overly in-depth with each section required to cover each section

Christopher Beattie - Terumo Aortic
Course - Minitab for Statistical Data Analysis

The practical demonstrations

Simson McCreath - Terumo Aortic
Course - Minitab for Statistical Data Analysis

The trainer had an excellent understanding of the subject matter, and was able to answer any questions easily and concisely.

Craig Renfrew - Terumo Aortic
Course - Minitab for Statistical Data Analysis

At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.

Victor Prado - Global Knowledge Network Training Ltd
Course - R

The R-programming overview training is quite intensive but Tomasz is always helpful, energetic and up to date. On top of it, he is passionate about R. I would highly recommend his R sessions to anyone interested in R.

Luiza Panoschi - Global Knowledge Network Training Ltd
Course - R

that i was getting my all answers and knowledge i want.

Ismail Ahli - Dubai Civil Aviation Authority
Course - R for Statistical Analysis

La quantité des exercices réalisés. L'aide du formateur sur chacun des problèmes rencontrés pendant les exercices. Il nous clarifie la démarche sans donner le résultat.

Fabien Follet - Autoliv
Course - Scilab

Les compétences du formateur, et la bonne ambiance.

Sébastien CADET - Autoliv
Course - Scilab

We were using road accident data for practicals

Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS

The fact that we had the time to cover some useful extras.

Alina Vishniakova - TUI Business Services GmbH
Course - Statistics Level 1

I genuinely was benefit from the flexibility of the trainer.

Irina Ostapenko
Course - Statistics Level 2

Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.

Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced

Ability to direct the content covered to suit individual needs

Stefan Wroblewski - Tech NorthWest Skillnet
Course - Tableau Advanced

Ability to direct the content covered to suit individual needs

Stefan Wroblewski - Tech NorthWest Skillnet
Course - Tableau Advanced

The number of working examples.

Sharon Clarke - Tech NorthWest Skillnet
Course - Tableau Advanced

The number of working examples.

Sharon Clarke - Tech NorthWest Skillnet
Course - Tableau Advanced

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course

Mr Andrew easily understood and responded so well to participants' answers.

Junaidah Ahmad - GAS MALAYSIA DISTRIBUTION SDN BHD
Course - Market Forecasting

- I finally can implement the right analysis method to what I currently work on. - Discussion on general issues (worldwide) which is related to the training topic.

Lizawati Pati - GAS MALAYSIA DISTRIBUTION SDN BHD
Course - Market Forecasting

The flexible and friendly style. Learning exactly what was useful and relevant for me.

Jenny
Course - Advanced R

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R

That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.

Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals

I enjoyed that it was very hands-on, so we were constantly having the chance to try things on, rather than just sitting listening to a lecture (for example). I felt like I am now able to go away and start using R, which I haven't been able to do before

Kathy Baisley - Africa Health Research Institute
Course - R Fundamentals

I really was benefit from the real life practical examples.

Wioleta
Course - Data and Analytics - from the ground up

I mostly liked the patience of Tamil.

Laszlo Maros
Course - Data and Analytics - from the ground up

Tamil is very knowledgeable and nice person, I have learned from him a lot.

Aleksandra Szubert
Course - Data and Analytics - from the ground up

Detailed and comprehensive instruction given by experienced and clearly knowledgeable expert on the subject.

Justin Roche
Course - Data and Analytics - from the ground up

The way the trainer made complex subjects easy to understand.

Adam Drewry
Course - Data and Analytics - from the ground up

the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary

Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R

Machine Translated

I liked that the trainer made sure we all understood and were following the lectures. if we had a problem, he stopped and helped us fix it.

Cesar - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R

The tool was interesting and I see the use. I would like to learn about more about it.

- Teleperformance
Course - Data Analytics With R

New tool which is “R” and I find it interesting to know the existence of such tool for data analysis.

Michael Lopez - Teleperformance
Course - Data Analytics With R

I get answers on all my questions.

Natalia Gladii
Course - Data Analytics With R
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