Online or onsite, instructor-led live Dask training courses demonstrate through interactive hands-on practice how to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
Dask 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 Dask training can be carried out locally on customer premises in the Philippines or in NobleProg corporate training centers in the Philippines.
NobleProg -- Your Local Training Provider
Testimonials
The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.
Accenture Inc
Course: Python for Natural Language Generation
the last day. generation part
Accenture Inc
Course: Python for Natural Language Generation
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
possibility to check code, to ask and to verify what has been done, vast knowledge of trainer
Adrian Zieliński, Mid Ocean Logistics Poland Sp. z.o.o
Course: Python Programming - 4 days
Opisy funkcji, przedstawione przykłady, alternatywne wersje. Przesył przydatnych do pracy w Pythonie linków.
Agnieszka Jurołajć, VOLKSWAGEN POZNAŃ SP. Z O.O.
Course: Python Programming - 4 days
The notes given
Bertrand Chen, MINDEF
Course: Python Programming - 4 days
The virtual machines worked very well and make playing around with the code very easy. I also particularly liked having copies of all the examples being put together by the trainer to following with so I could see the end result in advance. Made it easier for me to ask more specific questions.
Stefan Kotze - Samantha Campbell, ACC
Course: Python Programming - 4 days
Trainer covered more in depth in every topic within the time given and also gave us questions to do and explained it whenever we had queries.
Praveent Thamil Mani - Bertrand Chen, MINDEF
Course: Python Programming - 4 days
Well-paced, sufficient break time so us to absorb the content
Bertrand Chen, MINDEF
Course: Python Programming - 4 days
It generated good discussion from the group
Samantha Campbell, ACC
Course: Python Programming - 4 days
Days 2 and 3. There was an absurd amount of content but Abhi handled it well, so I got real value there.
Michael Clews - Samantha Campbell, ACC
Course: Python Programming - 4 days
The communication with the Mr. Khobeib
Aref AlHosani - Ali Aljneibi, beamtrail
Course: Python Programming - 4 days
trainer was very helpful, patient, and friendly
Ali Aljneibi, beamtrail
Course: Python Programming - 4 days
The knowledge of the trainer was very high and the material was well prepared and organised.
Otilia - Gareth Morgan, TCMT
Course: Machine Learning with Python – 2 Days
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - Gareth Morgan, TCMT
Course: Machine Learning with Python – 2 Days
I did like the exercises
Office for National Statistics
Course: Natural Language Processing with Python
The trainer gave a clear and systematic teaching. He usually gave the reasoning and fundamental knowledge behind the commands. He also gave us time to do the exercises and practice.
Felicia Rezanda - Ong Lee Chiau, HP Singapore (Private) Ltd.
Course: Advanced Python - 4 Days
The trainer will illustrate the theory behind certain data structure behavior using Jamboard.
Ong Lee Chiau, HP Singapore (Private) Ltd.
Course: Advanced Python - 4 Days
Learned lots of things of course.
Jonathan Rico, Nordic Semiconductor ASA
Course: Advanced Python - 4 Days
The first 2 days were very informative. it gets messy when you get into frameworks because every projects has its own goals and requirements and sometimes the 'popular' framework isn't suitable.
Raphael Treccani-Chinelli - Jonathan Rico, Nordic Semiconductor ASA
Course: Advanced Python - 4 Days
How flexible Gunnar was with what he taught. He seemed well prepared and of god knowledge in the topic.
Jonathan Rico, Nordic Semiconductor ASA
Course: Advanced Python - 4 Days
Very good overview about python on a lot of area of usage.
János Dóra - Robert Bosch Kft.
Course: Advanced Python
The early examples was to build up for the later coming complex topics like machine learning or data analyzing.
Robert Bosch Kft.
Course: Advanced Python
The prepared Jupiter Notebook examples were really good. Plenty of explanations for later, offline use, and we didn't have to spend half of the training copying the examples.
Csongor Miklos - Robert Bosch Kft.
Course: Advanced Python
The trainer was friendly and had a very good way of explaining the topics to us
Thames Water Utilities Ltd
Course: Python: Automate the Boring Stuff
Lots of things; good explanations of the underlying concepts and how they work, good practical exercises to demonstrate the concepts etc
Thames Water Utilities Ltd
Course: Python: Automate the Boring Stuff
1:1 very intensive but learnt a lot.
Karen Dyke - BT
Course: Python: Automate the Boring Stuff
the hands-on exercise and the instructor seem very knowledgeable.
Ashok Nair, City of Calgary
Course: Machine Learning with Python – 4 Days
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
Witold Iwaniec - Ashok Nair, City of Calgary
Course: Machine Learning with Python – 4 Days
The explaination
Wei Yang Teo - Ministry of Defence, Singapore
Course: Machine Learning with Python – 4 Days
The trainer took the time to answer all our questions.
Ministry of Defence, Singapore
Course: Machine Learning with Python – 4 Days
The trainers depth of knowledge & explanations, he could explain difficult concepts quite intuitively!
KnowledgePool
Course: Python for Advanced Machine Learning
The trainer was very knowledgeable, he was able to answer every question, was able to bug fix coding issues, and could tie a lot of the topics into his real life experiences. The trainer's knowledge applied to a different approach to coding (see above) would have been perfect.
Premier Partnership
Course: Python for Advanced Machine Learning
Seeing the practical examples
Premier Partnership
Course: Python for Advanced Machine Learning
Trainer knowledge and experience on subject matter is very deep
Premier Partnership
Course: Python for Advanced Machine Learning
The trainers knowledge of the topics he was teaching.
Premier Partnership
Course: Python for Advanced Machine Learning
Having access to the notebooks to work through
Premier Partnership
Course: Python for Advanced Machine Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Course: Python for Advanced Machine Learning
I loved summaries
Martyna - Robert Kwiatkowski, Orange Szkolenia Sp. z o.o.
Course: Unit Testing with Python
Materials Trainer
Zakar Abid - Gehan Hisham Elraey, TII
Course: Unit Testing with Python
Did hands on exercise. Walked through the code. Explained everything very well
Steve Thomas - Gehan Hisham Elraey, TII
Course: Unit Testing with Python
monkeypatch, fixtures, proper writing tests
Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
No rushing things, though a bit too slow sometimes. Checking excercises with group and comparing solutions
Piotr - Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
możliwość dopytania w każdej chwili
Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
good is a previous day material repeat
Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
The trainer is interactive with the audience. He is able to reply the questions easily and gives the accurate examples and illustrations in real life. The theoritical and practical rythm are smooth. The exercices give the user a better experience to think and structure his/ her way of testing and developping. Numpy and Pandas may be useful in order to better exploit data, such as performance results, statistics, image treatement, calculating the correlation for biological set images. The Django framework would be helpful for building web API. All this knowledge is an asset. However, I am not sure this would be fruitful for other contexts, since we need unit and Integration tests of Java apps in Python.
Soumaya ELALOUANI - Stéphanie Vander Straeten, Telemis
Course: Unit Testing with Python
I liked the "bottom up" approach (i.e. "let's say we want to do this and then discover how we can improve it using design patterns") instead of "top down" (i.e. this is pattern X and this is how you can use it)
Ewa Dusza, Red Embedded Consulting Sp. z o.o.
Course: Unit Testing with Python
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
Dask Course Outlines in the Philippines
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in the Philippines (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
- Set up the environment to start building big data processing with Dask and Python.
- Explore the features, libraries, tools, and APIs available in Dask.
- Understand how Dask accelerates parallel computing in Python.
- Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
- Optimize the Dask environment to maintain high performance in handling large datasets.
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