통계 Training in 대한민국

운동과 보여주기에 따른 변화.

Ida Sjöberg - Swedish National Debt Office

Course - Econometrics: Eviews and Risk Simulator

Machine Translated

유익하고 유익했습니다

Brenton - Lotterywest

Course - Building Web Applications in R with Shiny

Machine Translated

교육 주제와 관련된 많은 예와 연습.

Tomasz - Ministerstwo Zdrowia

Course - Advanced R Programming

Machine Translated

the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend

Mamonyane Taoana - Road Safety Department

Course - Statistical Analysis using SPSS

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.

Course - Tableau Intermediate Training Course

Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.

Mareca Sithole - Africa Health Research Institute

Course - R Fundamentals

The tips for many of the functions that the trainer presented, which we can easily remember and implement in our future work

Emilija Stoilova - EPFL HBP PCO

Course - Analysing Financial Data in Excel

Machine learning, python, data manipulation

Siphelo Mapolisa - University Of South Africa

Course - Data Science: Analysis and Presentation

1.The presentation style of Mr. Andrew, engaging with the style of audience.

MUHAMMAD ZAID SALMAN - GAS MALAYSIA DISTRIBUTION SDN BHD

Course - Market Forecasting

The fact he had dif excel and data sheets with exercises for us to do.

Deepakie Singh Sodhi - Queens College, CUNY

Course - Excel For Statistical Data Analysis

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

Ismail Ahli - Dubai Civil Aviation Authority

Course - R for Statistical Analysis

I genuinely enjoyed the hands passed exercises.

Yunfa Zhu - Environmental and Climate Change Canada

Course - Foundation 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

Course - Introduction to Data Visualization with Tidyverse and R

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

Alina Vishniakova - TUI Business Services GmbH

Course - Statistics Level 1

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

Course - Introduction to R with Time Series Analysis

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

Course - R Programming for Data Analysis

I really enjoyed the knowledge of the trainer.

Stephanie Seiermann

Course - 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

Course - Programming with Big Data in R

A lot of knowledge - theoretical and practical.

Anna Alechno

Course - Forecasting with 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

Course - Data and Analytics - from the ground up

유연하고 친근한 스타일. 나에게 유용하고 관련성이 있는 것이 무엇인지 정확히 배웁니다.

Jenny

Course - Advanced R

Machine Translated

I genuinely was benefit from the flexibility of the trainer.

Irina Ostapenko

Course - Statistics Level 2

I liked the new insights in deep machine learning.

Josip Arneric

Course - Neural Network in R

I mostly liked the trainer giving real live Examples.

Simon Hahn

Course - Administrator Training for Apache Hadoop

I like the exercises done.

Nour Assaf

Course - Data Mining and Analysis