
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
The material covered was interesting and the trainer was knowledgeable.
Neghat Khan
Course: Modelling and Forecasting for Government
Good rapport with the audience, good & accessible explanation/presentation and he relates 'tech' stuff to real life examples which makes things easier to understand.
Ray Rusike
Course: Modelling and Forecasting for Government
I was benefit from the excellent knowledge of the trainer, useful examples.
Jonathan Harrison
Course: Modelling and Forecasting for Government
The topics were relevant to my role and I will be able to use this immediately in my work and in the future.
Rani Nandra
Course: Modelling and Forecasting for Government
He was very informative and helpful.
Pratheep Ravy
Course: Predictive Modelling with R
I genuinely enjoyed the trainer's helping.
Urszula Kuza
Course: Tableau Advanced
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
The training was adaptable and personalized to our needs.
Dominique Soulie
Course: Minitab for Statistical Data Analysis
I liked the exercises as it's the only way to learn, by repetition.
David Rushe
Course: Tableau Advanced
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course: Data Mining & Machine Learning with R
Very tailored to needs.
Yashan Wang
Course: Data Mining with R
I genuinely enjoyed working 1:1 with Gunner.
Bryant Ives
Course: Introduction to R
A very coherent and systematic refresher on forecasting models and useful applications.
Marco D'Alterio
Course: Modelling and Forecasting for Government
I enjoyed the stats refresher and using software for exercises.
Rabeeah Shah
Course: Modelling and Forecasting for Government
I like the exercises done.
Nour Assaf
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 learned about a lot of techniques I didn't know about before.
Alexandra Torok
Course: Modelling and Forecasting for Government
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 mostly liked the trainer giving real live Examples.
Simon Hahn
Course: Administrator Training for Apache Hadoop
I genuinely enjoyed the big competences of Trainer.
Grzegorz Gorski
Course: Administrator Training for Apache Hadoop
I genuinely enjoyed the many hands-on sessions.
Jacek Pieczątka
Course: Administrator Training for Apache Hadoop
I liked the new insights in deep machine learning.
Josip Arneric
Course: Neural Network in R
We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.
Tea Poklepovic
Course: Neural Network in R
I mostly enjoyed the graphs in R :))).
Faculty of Economics and Business Zagreb
Course: Neural Network in R
I genuinely was benefit from the flexibility of the trainer.
Irina Ostapenko
Course: Statistics Level 2
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny Tickner
Course: Advanced R
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course: Data and Analytics - from the ground up
Learning how to use excel properly.
Torin Mitchell
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
Detailed and comprehensive instruction given by experienced and clearly knowledgeable expert on the subject.
Justin Roche
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
I liked the first session. Very intensive and quick.
Digital Jersey
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
I really was benefit from the real life practical examples.
Wioleta (Vicky) Celinska-Drozd
Course: Data and Analytics - from the ground up
A lot of knowledge - theoretical and practical.
Anna Alechno
Course: Forecasting with R
I genuinely liked his knowledge and practical examples.
Irina Tulgara
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
Hands on examples were the most helpful.
Sean Kaukas
Course: Introduction to R
I enjoyed the 2nd day we did lots of examples of gauge R&R.
Vascutek Ltd
Course: Minitab for Statistical Data Analysis
I genuinely liked the exercises - use of Minicab.
Vascutek Ltd
Course: Minitab for Statistical Data Analysis
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
I really enjoyed 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
The tutor, Mr. Michael An, 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 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
Good overview of R and good range of topics. Trainer was happy to answer all questions.
Symphony EYC
Course: R
I really enjoyed the knowledge of the trainer.
Stephanie Seiermann
Course: 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
It was very hands-on, we spent half the time actually doing things in Clouded/Hardtop, 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
I really liked the exercises on time series modeling.
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
Statistics Subcategories in Finland
Statistics Course Outlines in Finland
- Perform data analysis using Python, R, and SQL.
- Create insights through data visualization with Tableau.
- Make data-driven decisions for business operations.
- 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.
- Learn and understand the fundamentals of econometrics.
- Utilize Eviews and risk simulators.
- processing and analyzing data
- producing informative data visualizations
- forecasting future performance
- evaluating forecasts
- turning data into evidence-based business decisions
- optimizing processes
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
- Interactive lecture and discussion.
- Lots of exercises and practice.
- To request a customized training for this course, please contact us to arrange.
- 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.
- 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.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- To request a customized training for this course, please contact us to arrange.
- perform calculations efficiently
- understanding program commands
- creating text documents
- building charts and graphs
- data presentations
- 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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