Statistics for Researchers

  35 hours

Analysing Financial Data in Excel

  14 hours

Forecasting with R

  14 hours

Administrator Training for Apache Hadoop

  35 hours

R for Data Analysis and Research

  7 hours

R

  21 hours

Statistics Level 1

  14 hours

Statistics Level 2

  28 hours

Minitab for Statistical Data Analysis

  14 hours

Advanced Statistics using SPSS Predictive Analytics Software

  28 hours

R for Statistical Analysis

  14 hours

Six Sigma with Minitab

  14 hours

Design of Experiments (DoE)

  7 hours

Programming with Big Data in R

  21 hours

R Programming for Excel

  21 hours

Introduction to R for Finance

  21 hours

Financial Trading with R

  21 hours

Intermediate R for Finance

  21 hours

Shiny, R and HTML: Merging Data Science and Web Development

  7 hours

Neural Network in R

  14 hours

Anomaly Detection with Python and R

  14 hours

Introduction to R

  21 hours

Data Mining and Analysis

  28 hours

Data Mining with R

  14 hours

Introductory R for Biologists

  28 hours

Statistics with SPSS Predictive Analytics Software

  14 hours

Excel For Statistical Data Analysis

  14 hours

Data and Analytics - from the ground up

  42 hours

R Programming for Finance

  28 hours

NLP: Natural Language Processing with R

  21 hours

Data Analytics with Tableau, Python, R, and SQL

  35 hours

Data Analytics With R

  21 hours

HR Analytics for Public Organisations

  14 hours

Talent Acquisition Analytics

  14 hours

Machine Learning for Banking (with R)

  28 hours

Machine Learning for Finance (with R)

  28 hours

Applied Machine Learning

  14 hours

Machine Learning Fundamentals with R

  14 hours

Data Mining & Machine Learning with R

  14 hours

Deep Learning for Finance (with R)

  28 hours

Deep Learning for Banking (with R)

  28 hours

Advanced Machine Learning with R

  21 hours

Market Forecasting

  14 hours

Algorithmic Trading with Python and R

  14 hours

Statistical Analysis with Stata and R

  35 hours

KNIME with Python and R for Machine Learning

  14 hours

Predictive Modelling with R

  14 hours

Introduction to R with Time Series Analysis

  21 hours

Foundation R

  7 hours

Introduction to Data Visualization with R

  28 hours

Tableau Intermediate Training Course

  14 hours

Data Science with Tableau and R Programming

  14 hours

Tableau Advanced

  14 hours

Cluster Analysis with R and SAS

  14 hours

Statistical Thinking for Decision Makers

  7 hours

Statistical Analysis using SPSS

  21 hours

Statistical and Econometric Modelling

  21 hours

Mathematica - wprowadzenie, wizualizacja i prezentacja danych

  14 hours

Scilab

  14 hours

Statistics and Probabilistic Programming in Julia

  21 hours

Introduction to Data Visualization with Tidyverse and R

  7 hours

He was very informative and helpful.

Pratheep Ravy [Predictive Modelling with R]

I genuinely enjoyed the trainer's helping.

Urszula Kuza [Tableau Advanced]

I get answers on all my questions.

Natalia Gladii [Data Analytics With R]

The training was adaptable and personalized to our needs.

Dominique Soulie [Minitab for Statistical Data Analysis]

I liked the exercises as it's the only way to learn, by repetition.

David Rushe [Tableau Advanced]

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

Mohamed Salama [Data Mining & Machine Learning with R]

Very tailored to needs.

Yashan Wang [Data Mining with R]

I genuinely enjoyed working 1:1 with Gunner.

Bryant Ives [Introduction to R]

I like the exercises done.

Nour Assaf [Data Mining and Analysis ]

The hands-on exercise and the trainer capacity to explain complex topics in simple terms.

youssef chamoun [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 [Data Mining and Analysis ]

I mostly liked the trainer giving real live Examples.

Simon Hahn [Administrator Training for Apache Hadoop]

I genuinely enjoyed the big competences of Trainer.

Grzegorz Gorski [Administrator Training for Apache Hadoop]

I genuinely enjoyed the many hands-on sessions.

Jacek Pieczątka [Administrator Training for Apache Hadoop]

I liked the new insights in deep machine learning.

Josip Arneric [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 [Neural Network in R]

I mostly enjoyed the graphs in R :))).

Faculty of Economics and Business Zagreb [Neural Network in R]

I genuinely was benefit from the flexibility of the trainer.

Irina Ostapenko [Statistics Level 2]

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

Jenny Tickner [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 [Data and Analytics - from the ground up ]

Learning how to use excel properly.

Torin Mitchell [Data and Analytics - from the ground up ]

The way the trainer made complex subjects easy to understand.

Adam Drewry [Data and Analytics - from the ground up ]

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

Justin Roche [Data and Analytics - from the ground up ]

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

Aleksandra Szubert [Data and Analytics - from the ground up ]

I liked the first session. Very intensive and quick.

Digital Jersey [Data and Analytics - from the ground up ]

I mostly liked the patience of Tamil.

Laszlo Maros [Data and Analytics - from the ground up ]

I really was benefit from the real life practical examples.

Wioleta (Vicky) Celinska-Drozd [Data and Analytics - from the ground up ]

A lot of knowledge - theoretical and practical.

Anna Alechno [Forecasting with R]

I genuinely liked his knowledge and practical examples.

Irina Tulgara [Forecasting with R]

Overview and understanding how big the topic is.

British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA [Forecasting with R]

Hands on examples were the most helpful.

Sean Kaukas [Introduction to R]

I enjoyed the 2nd day we did lots of examples of gauge R&R.

Vascutek Ltd [Minitab for Statistical Data Analysis]

I genuinely liked the exercises - use of Minicab.

Vascutek Ltd [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 [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 [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 [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 [Programming with Big Data in R]

Good overview of R and good range of topics. Trainer was happy to answer all questions.

Symphony EYC [R]

I really enjoyed the knowledge of the trainer.

Stephanie Seiermann [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 [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 [Administrator Training for Apache Hadoop]

I really liked the exercises on time series modeling.

Teleperformance [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 [Data Analytics With R]

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

- Teleperformance [Data Analytics With R]

The training felt very personal and customised to what I wanted out of it. It was so non judgemental that I felt comfortable in asking whatever questions I needed to, and the trainer was able to competently answer all my questions. It was a very good overview of useful statistical techniques and there was a good balance between statistical theory and how to use minitab.

- Cambridge Consultants [Minitab for Statistical Data Analysis]

Lot of hands-on exercises.

- Ericsson [Administrator Training for Apache Hadoop]

Ambari management tool. Ability to discuss practical Hadoop experiences from other business case than telecom.

- Ericsson [Administrator Training for Apache Hadoop]

I generally liked the trainer Knowledge.

- SAP Business Objects [Statistics Level 1]

I mostly was benefit from learning about Gantt charts.

Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser [Tableau Advanced]

the matter was well presented and in an orderly manner.

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





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