DC, Washington - Street Northwest

20 F Street Northwest, Washington, United States, 20001
The Center is located on Capitol Hill, one block from Union Station Metro and 15 minutes from Washington Reagan National Airp...

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 Washington D.C. (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 Washington D.C. (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 Washington D.C. (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 Washington D.C. (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 Washington D.C. (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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Six Sigma Yellow Belt

 14 Hours
This instructor-led, live training in Washington D.C. (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 Washington D.C. (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 Washington D.C. (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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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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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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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
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Six Sigma with Minitab

 14 Hours
This instructor-led, live training in Washington D.C. (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.
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Statistical Analysis using SPSS

 21 Hours
SPSS is software for editing and analyzing data.
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Statistics with SPSS Predictive Analytics Software

 14 Hours
Goal: Learning to work with SPSS at the level of independence The addressees: Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and learn popular data mining techniques.
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Statistical Thinking for Decision Makers

 7 Hours
This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them and be able to choose what kind of statistical methods are relevant in strategic planning of the organization. For example, a prospect participant needs to make decision how many samples needs to be collected before they can make the decision whether the product is going to be launched or not. If you need longer course which covers the very basics of statistical thinking have a look at 5 day "Statistics for Managers" training.
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Statistics Level 1

 14 Hours
This course has been created for people who require general statistics skills. This course can be tailored to a specific area of expertise like market research, biology, manufacturing, public sector research, etc...
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Statistics Level 2

 28 Hours
This training course covers advanced statistics. It explains most of the tools commonly used in research, analysis and forecasting. It provides short explanations of the theory behind the formulas. This course does not relate to any specific field of knowledge, but can be tailored if all the delegates have the same background and goals. Some basic computer tools are used during this course (notably Excel and OpenOffice)
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Statistics for Researchers

 35 Hours
This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines. It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs. In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...) In the case of public courses, mixed examples are used. Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion. This course can be delivered as a blended course i.e. with homework and assignments.
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Forecasting with R

 14 Hours
This course allows delegate to fully automate the process of forecasting with R
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R for Data Analysis and Research

7 Hours
Audience
  • managers
  • developers
  • scientists
  • students
Format of the course on-line instruction and discussion OR face-to-face workshops
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Testimonials (24)

Well thought out and high grade planning materials.

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

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

Wasn't boring, the trainer could keep the attention, the topics were covered in depth.

Marta - Ministerstwo Zdrowia
Course - Advanced R Programming

I learned new things so that is a good point

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

The quantity of exercises performed. Help from the trainer on each problem encountered during the exercises. He clarifies the process for us without giving the result.

Fabien Follet - Autoliv

Machine Translated

We were using road accident data for practicals

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

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

I liked the excercises and how great it was to follow

Elizabeth Seed - 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

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

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

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

The exercises.

Elena Velkova - CEED Bulgaria
Course - Predictive Modelling 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

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

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

I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.

Anna - Birmingham City University
Course - Foundation R

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R

It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.

Sonja Steiner - BearingPoint GmbH
Course - R Programming for Data Analysis

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

I really was benefit from the real life practical examples.

Wioleta
Course - Data and Analytics - from the ground up

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

Jenny
Course - Advanced R

I genuinely was benefit from the flexibility of the trainer.

Irina Ostapenko
Course - Statistics Level 2

I genuinely enjoyed the many hands-on sessions.

Jacek Pieczątka
Course - Administrator Training for Apache Hadoop

Very tailored to needs.

Yashan Wang
Course - Data Mining with R

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama
Course - Data Mining & Machine Learning with R

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