Cluster Analysis with R and SAS

  14 hours

From Data to Decision with Big Data and Predictive Analytics

  21 hours

Data Mining and Analysis

  28 hours

Data Mining

  21 hours

Data Mining with Python

  14 hours

Data Mining with R

  14 hours

Data Mining with Excel

  14 hours

MonetDB

  28 hours

Oracle SQL Intermediate - Data Extraction

  14 hours

Introductory R for Biologists

  28 hours

Statistics with SPSS Predictive Analytics Software

  14 hours

Data Vault: Building a Scalable Data Warehouse

  28 hours

Data Visualization

  28 hours

Foundation R

  7 hours

Data Mining with Weka

  14 hours

Data Mining & Machine Learning with R

  14 hours

Data Science for Big Data Analytics

  35 hours

KNIME Analytics Platform for BI

  21 hours

Process Mining

  21 hours

SPSS Modeler

  14 hours

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 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 thought that the information was interesting.

Allison May [Data Visualization]

I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.

Carol Wells Bazzichi [Data Visualization]

Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.

Susan Williams [Data Visualization]

Trainer was enthusiastic.

Diane Lucas [Data Visualization]

I really liked the content / Instructor.

Craig Roberson [Data Visualization]

I am a hands-on learner and this was something that he did a lot of.

Lisa Comfort [Data Visualization]

I liked the examples.

Peter Coleman [Data Visualization]

I liked the examples.

Peter Coleman [Data Visualization]

I enjoyed the good real world examples, reviews of existing reports.

Ronald Parrish [Data Visualization]

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete [Data Science for Big Data Analytics]

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group [From Data to Decision with Big Data and Predictive Analytics]

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group [From Data to Decision with Big Data and Predictive Analytics]

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 really enjoyed learning new and interesting things.

- SIVECO Romania SA [Data Mining]

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 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]

The Topic

Accenture Inc. [Data Vault: Building a Scalable Data Warehouse]

Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra

Marija Hornis Dmitrovic - Marija Hornis [Data Science for Big Data Analytics]

Very useful in because it helps me understand what we can do with the data in our context. It will also help me

Nicolas NEMORIN - Adecco Groupe France [KNIME Analytics Platform for BI]

A lot of exercises, trainer was always helping us and giving the solution, he was always answering our questions & explaining our doubts. The trainer was also always checking with us about the break we would like to take etc.

GE Medical Systems Polska Sp. Z O.O. [Process Mining]

open discussion with trainer

Tomek Danowski - GE Medical Systems Polska Sp. Z O.O. [Process Mining]

The way it was conducted, the way trainer keeps contact with audience, materials, everything was really good!

Marcin Prewo - GE Medical Systems Polska Sp. Z O.O. [Process Mining]

a lot of execises

GE Medical Systems Polska Sp. Z O.O. [Process Mining]

Lots of practice during the training and quizzes were useful and made it more interactive

Valter Pinho - GE Medical Systems Polska Sp. Z O.O. [Process Mining]

There was a lot of exercises - I like it.

GE Medical Systems Polska Sp. Z O.O. [Process Mining]





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