Advanced R

  7 hours

Anomaly Detection with Python and R

  14 hours

Programming with Big Data in R

  21 hours

Intermediate R for Finance

  21 hours

Marketing Analytics using R

  21 hours

R Programming for Excel

  21 hours

Financial Trading with R

  21 hours

Introduction to R

  21 hours

Introduction to R for Finance

  21 hours

Neural Network in R

  14 hours

Advanced R Programming

  7 hours

R Programming for Data Analysis

  14 hours

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

  7 hours

Building Web Applications in R with Shiny

  7 hours

Algorithmic Trading with Python and R

  14 hours

Statistical Analysis with Stata and R

  35 hours

Cluster Analysis with R and SAS

  14 hours

Data and Analytics - from the ground up

  42 hours

Data Analytics With R

  21 hours

NLP: Natural Language Processing with R

  21 hours

R Programming for Finance

  28 hours

Data Analytics with Tableau, Python, R, and SQL

  35 hours

Data Mining with R

  14 hours

Introductory R for Biologists

  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

Data Mining & Machine Learning with R

  14 hours

Machine Learning for Banking (with R)

  28 hours

Machine Learning for Finance (with R)

  28 hours

Machine Learning Fundamentals with R

  14 hours

Foundation R

  7 hours

Forecasting with R

  14 hours

R for Data Analysis and Research

  7 hours

R

  21 hours

Introduction to R with Time Series Analysis

  21 hours

Predictive Modelling with R

  14 hours

KNIME with Python and R for Machine Learning

  14 hours

Data Science with Tableau and R Programming

  14 hours

He was very informative and helpful.

Pratheep Ravy [Predictive Modelling with R]

I get answers on all my questions.

Natalia Gladii [Data Analytics With R]

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 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]

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]

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]

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 matter was well presented and in an orderly manner.

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

He really explained everything well and used examples.

- royal bank of Canada [R]

I enjoyed the self-learning through exercises and the tips and shortcuts shared.

- Competition Bureau [R for Data Analysis and Research ]

I was benefit from the good examples and opportunity to follow along.

- Environmental and Climate Change Canada [Foundation R]

I genuinely enjoyed the hands passed exercises.

Yunfa Zhu - Environmental and Climate Change Canada [Foundation R]

The trainer, the food, and the space were all great.

- Canada Revenue Agency [R]

I like actually writing code with sample data and annotating the script for future reference.

- Canada Revenue Agency [R]

The pre-made scripts used for training material was very useful. The interactive training allowed for a clear understanding of each topic.

- Canada Revenue Agency [R]

The trainer was very concern about individual understanding.

Muhammad Surajo Sanusi - Birmingham City University [Foundation R]

Excellent presentation and it gives me confidence to build on knowledge gained.

- Birmingham City University [Foundation R]

Background knowledge and 'provenance' of trainer.

Francis McGonigal - Birmingham City University [Foundation R]

Resources

Hafiz Rana - Birmingham City University [Foundation R]

Good explanations on how we do things

- Birmingham City University [Foundation R]

I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.

Anna Yartseva - Birmingham City University [Foundation R]

Modeling and how to fit the data to model

- USDA [R for Data Analysis and Research ]

The remote classroom setting worked very well

- Trimac Management Services LP [Introduction to R with Time Series Analysis]

Good detail on what R is used for and how to start using it right away

Hoss Shenassa - Trimac Management Services LP [Introduction to R with Time Series Analysis]

The many practical examples / assignments that we went through were great. For me, I learn better by seeing examples and applying them elsewhere. The use of real data and applying what was taught against it was extremely valuable. Michaels PowerPoint presentations and his ability to work through each solution was invaluable.

- Trimac Management Services LP [Introduction to R with Time Series Analysis]

The exercises.

Elena Velkova - CEED Bulgaria [Predictive Modelling with R]





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