Online or onsite, instructor-led live Statistics training courses demonstrate through interactive discussion and hands-on practice how to apply Statistic principles to the solving of real-world problems.
Statistics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Statistics training can be carried out locally on customer premises in Macao or in NobleProg corporate training centers in Macao.
NobleProg -- Your Local Training Provider
Testimonials
Modeling and how to fit the data to model
USDA
Course: R for Data Analysis and Research
I enjoyed the self-learning through exercises and the tips and shortcuts shared.
Competition Bureau
Course: R for Data Analysis and Research
I have learnt something, Trainer tried to help us with our queries.
Angelika Czapka, LKQ Polska Sp. z o. o.
Course: Analysing Financial Data in Excel
I learned new things so that is a good point
Daria - Angelika Czapka, LKQ Polska Sp. z o. o.
Course: Analysing Financial Data in Excel
many exercises
Julia - Angelika Czapka, LKQ Polska Sp. z o. o.
Course: Analysing Financial Data in Excel
The applicability of the content
EPFL HBP PCO
Course: Analysing Financial Data in Excel
The tips for many of the functions that the trainer presented, which we can easily remember and implement in our future work
Emilija Stoilova - EPFL HBP PCO
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
The reminder of the world of statistics :)
Export Credit insurance corporation
Course: Excel For Statistical Data Analysis
Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.
Alan Gonzalez - Queens College, CUNY
Course: Excel For Statistical Data Analysis
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Course: Excel For Statistical Data Analysis
The fact that we had the time to cover some useful extras.
Alina Vishniakova - TUI Business Services GmbH
Course: Statistics Level 1
I generally liked the trainer Knowledge.
SAP Business Objects
Course: Statistics Level 1
Flexibility of the trainer
Irina Ostapenko
Course: Statistics Level 2
Going through all the different examples and explaining each of the terms.
Lewis Print - Claire Dawson, Terumo Aortic
Course: Minitab for Statistical Data Analysis
very detailed, was good watching the demos on how to use the software, made It very easy to follow and then use.
Claire Dawson, 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 - Claire Dawson, Terumo Aortic
Course: Minitab for Statistical Data Analysis
The practical demonstrations
Simson McCreath - Claire Dawson, 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 - Claire Dawson, Terumo Aortic
Course: Minitab for Statistical Data Analysis
Gaining practical experience of Minitab software.
Layna Thompson - Terumo Aortic
Course: Minitab for Statistical Data Analysis
The content was relevant to my minitab requirements. Tomasz provided an explanation and the reasons why he was completing the exercises in the way he did.
Terumo Aortic
Course: Minitab for Statistical Data Analysis
The knowledge & experience of the trainer.
Terumo Aortic
Course: Minitab for Statistical Data Analysis
Exercises/Examples at end of chapter
Terumo Aortic
Course: Minitab for Statistical Data Analysis
Interactive exercises.
Terumo Aortic
Course: Minitab for Statistical Data Analysis
Trainer was very knowledgeable
Gary McAlonan - Terumo Aortic
Course: Minitab for Statistical Data Analysis
he is patient
Abdul De kock - Vodacom
Course: Forecasting with R
Overview and understanding how big the topic is
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Course: Forecasting with R
his knowlede and practical exemples
Irina Tulgara
Course: Forecasting with R
A lot of knowldege - theoretical and practical
Anna Alechno
Course: Forecasting with R
Ambari management tool. Ability to discuss practical Hadoop experiences from other business case than telecom.
Ericsson
Course: Administrator Training for Apache Hadoop
Lot of hands-on exercises.
Ericsson
Course: Administrator Training for Apache Hadoop
It was very hands-on, we spent half the time actually doing things in Cloudera/Hadoop, running different commands, checking the system, and so on. The extra materials (books, websites, etc...) were really appreciated, we will have to continue to learn. The installations were quite fun, and very handy, the cluster setup from scratch was really good.
Ericsson
Course: Administrator Training for Apache Hadoop
Many hands-on sessions.
Jacek Pieczątka
Course: Administrator Training for Apache Hadoop
Big competences of Trainer
Grzegorz Gorski
Course: Administrator Training for Apache Hadoop
Trainer give reallive Examples
Simon Hahn
Course: Administrator Training for Apache Hadoop
Tomasz was engaging and always ready to answer our questions. This course wouldn't have worked without him.
Kelly Gale, 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 - Kelly Gale, Global Knowledge Network Training Ltd
Course: R
Very knowledgeable instructor and I was given the tools and confidence to start exploring R on my own.
Canada Revenue Agency
Course: R
I really enjoyed the first day on navigating R-Studio and some of the shortcuts he provided though out other days.
Canada Revenue Agency
Course: R
I really love the hands-on approach that Michael designed. It was very effective to have short PowerPoint lessons that explained concepts, and then be able to apply it in the virtual environment in R. I was also very excited to see how powerful a tool R can be, and am I looking forward to keep learning more in the future.
Environment and Climate Change Canada
Course: R
Practice exercises were relevant and very helpful to reinforce the knowledge.
Andy Kwan - Environment and Climate Change Canada
Course: R
Follow-along exercises after slide presentation kept engagement.
Robin White - Environment and Climate Change Canada
Course: R
Michael was very knowledgeable and clear in his instruction of the training. Course was well structured to teach the desired subject as well as the right amount of room was left to adjust to fit our needs better. Over all, I am very happy with the course.
Brock Batey - Environment and Climate Change Canada
Course: R
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
Expertise and huge knowledge of the trainer.
Amazon Development Center Poland Sp. z o.o.
Course: Data Mining and Analysis
The trainer concentrated on the key topics.
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 Murex and worked on Data we are familiar with and perform operations to get results.
Jessica Chaar
Course: Data Mining and Analysis
The hands on exercise and the trainer capacity to explain complex topics in simple terms
youssef chamoun
Course: Data Mining and Analysis
I like the exercices done
Nour Assaf
Course: Data Mining and Analysis
Statistics Subcategories in Macao
Statistics Course Outlines in Macao
Course Name
Duration
Overview
Course Name
Duration
Overview
35 hours
This instructor-led, live training in Macao (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.
7 hours
This instructor-led, live training in Macao (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.
21 hours
This instructor-led, live training in Macao (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.
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
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.
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
- forecasting future performance
- evaluating forecasts
- turning data into evidence-based business decisions
- optimizing processes
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.
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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.
- To request a customized training for this course, please contact us to arrange.
14 hours
Audience
Financial or market analysts, managers, accountants
Course Objectives
Facilitate and automate all kinds of financial analysis with Microsoft Excel
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
- Developers
- Analysts
- Quants
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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.
21 hours
This instructor-led, live training in Macao (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.
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.
- To request a customized training for this course, please contact us to arrange.
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...
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)
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
28 hours
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 hours
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 hours
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 and symbolic 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 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
- Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
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Online Statistics courses, Weekend Statistics courses, Evening Statistics training, Statistics boot camp, Statistics instructor-led, Weekend Statistics training, Evening Statistics courses, Statistics coaching, Statistics instructor, Statistics trainer, Statistics training courses, Statistics classes, Statistics on-site, Statistics private courses, Statistics one on one training
