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

Modelling and Forecasting for Government

  14 hours

Statistical Analysis using SPSS

  21 hours

Statistical and Econometric Modelling

  21 hours

Impact Evaluation – Quantitative Analysis

  14 hours

Econometrics: Eviews and Risk Simulator

  21 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

Data Science: Analysis and Presentation

  7 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

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]

A lot of issues that can be explored after the training

Klaudia Kłębek [Data Mining z wykorzystaniem 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]

openness, good atmosphere, cooperation with the teacher

PAA [Mathematica - wprowadzenie, wizualizacja i prezentacja danych]

Knowledge of the lecturer

Bartosz Stefańczyk [Minitab dla Statystyków i Analityków]

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 ]

Answered all the topic requests and took a lot of time to answer.

HSH Nordbank AG [Prognosen mit R]

The free exercises.

Sabine Stammberger [Prognosen mit R]

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]

good interaction with the trainer, dynamic exchange of knowledge

NIIT Limited [Data Analytics 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]

a lot of exercises that I can directly use in my work.

Alior Bank S.A. [Sieci Neuronowe w R]

Examples on real data.

Alior Bank S.A. [Sieci Neuronowe w R]

neuralnet, pROC in a loop.

Alior Bank S.A. [Sieci Neuronowe w R]

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]

Learning to use the tool

JOSÉ ALBERTO PABELLO ALAMILLA - Walmart [Tableau Avanzado]

The calculated fields and different uses

HUMBERTO IBARRA GARCIA - Walmart [Tableau Avanzado]

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]

A lot of practice.

- Centrum Innowacji ProLearning Agnieszka Kołodziejczyk [R]

Substantive knowledge of the trainer and experience, various examples

Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk [R]

the matter was well presented and in an orderly manner.

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

The fact that we had the time to cover some useful extras.

Alina Vishniakova - TUI Business Services GmbH [Statistics Level 1]

He really explained everything well and used examples.

- royal bank of Canada [R]

The trainer listened to the needs of his audience as best as possible and we were able to train relevant to our needs, Costas prepared material specifically around questions asked on the basic training for the advanced training, a lot of effort and work had been put in and it was appreciated.

Chloe Horton - Siemens Gamesa c/o Hemsley Fraser [Tableau Advanced]

Openness to our training needs in relation to the work we do and the level of statistical knowledge.

Grzegorz Bronikowski - Orange Szkolenia Sp. z o.o. [Statystyka - kurs podstawowy]

simple way of passing knowledge through the trainer, the possibility of asking questions not necessarily concerning the main subject and adjusting the issues covered to our needs

Joanna Bielak - Orange Szkolenia Sp. z o.o. [Statystyka - kurs podstawowy]

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

- Competition Bureau [R for Data Analysis and Research ]

I really enjoyed the all the best.

Halil polat - Amazon Development Center Poland Sp. z o.o. [Data Mining and Analysis ]

The trainer concentrated on the key topics.

- Amazon Development Center Poland Sp. z o.o. [Data Mining and Analysis ]

Expertise and huge knowledge of the trainer.

- Amazon Development Center Poland Sp. z o.o. [Data Mining and Analysis ]

I was benefit from the guidance and sharing life examples + answering all questions.

Marta Melloch - Amazon Development Center Poland Sp. z o.o. [Data Mining and Analysis ]

I was benefit from the detailed notes to keep and work through after the course.

- Public Health Wales NHS Trust [Introduction to Data Visualization with Tidyverse and R]

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust [Introduction to Data Visualization with Tidyverse and R]

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]

that i was getting my all answers and knowledge i want.

Ismail Ahli - Dubai Civil Aviation Authority [R for Statistical Analysis]

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 trainer was very good. He presented the material in a really accessible way.

Hydrock [Introduction to Data Visualization with Tidyverse and R]

Hsbc service delivery polska []





Other regions in Slovakia