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. Finland onsite live Statistics trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
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
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
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
A lot of knowldege - 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 remote classroom setting worked very well
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
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
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
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
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 - Etienne Dugast , Autoliv
Course: Scilab
Les compétences du formateur, et la bonne ambiance.
Sébastien CADET - Etienne Dugast , Autoliv
Course: Scilab
It was insightful and I gained a lot of new skills
Mamonyane Taoana - Maphahamiso Ralienyane, Road Safety Department
Course: Statistical Analysis using SPSS
Tailored towards the needs of the trainees
Maphahamiso Ralienyane, Road Safety Department
Course: Statistical Analysis using SPSS
the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend
Mamonyane Taoana - 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 generally liked the trainer Knowledge.
SAP Business Objects
Course: Statistics Level 1
Flexibility of the trainer
Irina Ostapenko
Course: Statistics Level 2
all the materials and how the trainer teach
Ma Rowenaliz Gayoma - JPMorgan Chase Bank, N.A – Philippine Global Service Center
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 - Julia Kuczma, DLA Piper GSC Poland Sp. z o.o.
Course: Tableau Intermediate Training Course
Statistics and Array manipulation, Khobeib was able to spend time working through specific analytical questions with us and demonstrate custom calculations and solutions to our questions. Khobeib was also able to adjust the training to our pace and level of understanding. Having worked with data for some time some of the intermediate level core subjects were not required. To his credit Khobeib took this on board and moved through the contents at a speed relevant to our knowledge and understanding.
Department of Home Affairs
Course: Tableau Intermediate Training Course
The theoretical explanations
Molatelo Tloubatla - University Of South Africa
Course: Data Science: Analysis and Presentation
Machine learning, python, data manipulation
Siphelo Mapolisa - University Of South Africa
Course: Data Science: Analysis and Presentation
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
1.The presentation style of Mr. Andrew, engaging with the style of audience.
MUHAMMAD ZAID SALMAN - GAS MALAYSIA DISTRIBUTION SDN BHD
Course: Market Forecasting
The flexible and friendly style. Learning exactly what was useful and relevant for me
Jenny Tickner
Course: Advanced R
The tutor, Mr. Michael Yan, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
the introduction of new packages
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 to meet 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
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course: R Fundamentals
The way the trainer made complex subjects easy to understand.
Adam Drewry
Course: Data and Analytics - from the ground up
learning how to use excel properly
Torin Mitchell
Course: Data and Analytics - from the ground up
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course: Data and Analytics - from the ground up
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
Statistics Subcategories in Finland
Statistics Course Outlines in Finland
Course Name
Duration
Overview
Course Name
Duration
Overview
35 hours
This instructor-led, live training in Finland (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 Finland (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 Finland (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
21 hours
This instructor-led, live training in Finland (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.
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.
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.
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.
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.
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.
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
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.
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.
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
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.
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.
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
14 hours
This instructor-led, live training in Finland (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.
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.
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 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)
Last Updated:
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Consulting in Finland
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
