R

  21 hours

R for Statistical Analysis

  14 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

R Programming for Finance

  28 hours

Machine Learning for Banking (with R)

  28 hours

Machine Learning for Finance (with R)

  28 hours

Deep Learning for Finance (with R)

  28 hours

Deep Learning for Banking (with R)

  28 hours

Advanced Machine Learning with R

  21 hours

Foundation R

  7 hours

Mathematica - wprowadzenie, wizualizacja i prezentacja danych

  14 hours

Scilab

  14 hours

Introduction to Data Visualization with Tidyverse and R

  7 hours

The material covered was interesting and the trainer was knowledgeable.

Neghat Khan [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 [Modelling and Forecasting for Government ]

I was benefit from the excellent knowledge of the trainer, useful examples.

Jonathan Harrison [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 [Modelling and Forecasting for Government ]

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]

A very coherent and systematic refresher on forecasting models and useful applications.

Marco D'Alterio [Modelling and Forecasting for Government ]

I enjoyed the stats refresher and using software for exercises.

Rabeeah Shah [Modelling and Forecasting for Government ]

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 ]

I learned about a lot of techniques I didn't know about before.

Alexandra Torok [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 [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]





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