Data Mining Training Courses - Vietnam
(20 feedbacks)
Online or onsite, instructor-led Data Mining training courses demonstrate through hands-on practice the fundamentals of Data Mining, its sources of methods including Artificial intelligence, Machine learning, Statistics and Database systems, and its use and applications.
Data Mining training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Mining trainings in Vietnam can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
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Explore Our Courses
Data Mining with Weka
14 hours
SPSS Modeler
14 hours
Data Mining with Excel
14 hours
Cluster Analysis with R and SAS
14 hours
Data Mining and Analysis
28 hours
Data Mining
21 hours
Data Mining with Python
14 hours
Data Mining with R
14 hours
Data Visualization
28 hours
Data Science for Big Data Analytics
35 hours
Foundation R
7 hours
KNIME Analytics Platform for BI
21 hours
MATLAB for Financial Applications
21 hours
MonetDB
28 hours
Introductory R for Biologists
28 hours
Process Mining
21 hours
Testimonials
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 Course
The information given was interesting and the best part was towards the end when we were provided with Data from Murex and worked on Data we are familiar with and perform operations to get results.
Jessica Chaar
Data Mining and Analysis Course
The hands on exercise and the trainer capacity to explain complex topics in simple terms
youssef chamoun
Data Mining and Analysis Course
I like the exercices done
Nour Assaf
Data Mining and Analysis Course
I really enjoyed learning new and interesting things.
- SIVECO Romania SA
Data Mining Course
very tailored to needs
Yashan Wang
Data Mining with R Course
The Topic
Accenture Inc.
Data Vault: Building a Scalable Data Warehouse Course
Learning about all the chart types and what they are used for. Learning the value of decluttering. Learning about the methods to show time data.
Susan Williams
Data Visualization Course
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 Course
I thought that the information was interesting.
Allison May
Data Visualization Course
The trainer was so knowledgeable and included areas I was interested in
Mohamed Salama
Data Mining & Machine Learning with R Course
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Data Science for Big Data Analytics Course
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 Course
The trainer was very concern about individual understanding.
Muhammad Surajo Sanusi - Birmingham City University
Foundation R Course
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Foundation R Course
I was benefit from the good examples and opportunity to follow along.
- Environmental and Climate Change Canada
Foundation R Course
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 Course
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 Course
Open discussion with trainer
Tomek Danowski - GE Medical Systems Polska Sp. Z O.O.
Process Mining Course
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.