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 Luxembourg or in NobleProg corporate training centers in Luxembourg.
NobleProg -- Your Local Training Provider
Testimonials
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
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
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 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 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
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 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
That we started from a simple implementation, adding functionalities/features until we need to update the design to keep having a maintainable software. Definitely real life job problems I see value in this. Also liked the use of VideoUpload project as we can relate to this working in Consult Red. Very open to questions, driving the class in a way asked by the audience.
Thibault Marechal - Ewa Dusza, Red Embedded Consulting Sp. z o.o.
Course: Unit Testing with Python
A lot of knowledge servred in easy to take way.
Paweł Piszcz - 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
Provided a very broad overview on object-oriented programming.
Course: Learn Object-Oriented Programming with Python
Apart from the content, I loved Abhi's flexibility to tweak the training based on our feedback
WesCEF
Course: Computer Vision with Python
The second day going through feature extraction was great fun. Trainer was very knowledgeable and engaging.
WesCEF
Course: Computer Vision with Python
Having some previous computer vision experience I found the second day covering feature extraction and CNNs most beneficial.
WesCEF
Course: Computer Vision with Python
The instructor was good and the subject matter was exciting.
Environment and Climate Change Canada
Course: Python for Geographic Information System (GIS)
I learned a lot about modules I've used before, and learned about many more modules I hadn't used before.
Environment and Climate Change Canada
Course: Python for Geographic Information System (GIS)
The OSM data fetching. We were able to retrieve data based our location of choice, which felt more relevant and engaging. If the rest of the lessons were like this to use tailored data for our organization, it would have been very helpful. Trainer was very knowledgeable and provided great followup coding answers for parts of exercises we were stuck on. Lessons on Jupyter Notebooks kept us engaged.
Environment and Climate Change Canada
Course: Python for Geographic Information System (GIS)
Practical examples and wider context given.
James - Jahedul Chowdhury , Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course: IoT Programming with Python
hands on exercise
Jahedul Chowdhury , Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course: IoT Programming with Python
The Colab Notebooks with the training and examples notes.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The exercises were very good and interactive. Instructors were always answering all questions and providing their insight on all topics
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
lots of information, all questions ansered, interesting examples
A1 Telekom Austria AG
Course: Deep Learning for Telecom (with Python)
I generally liked the subject matter.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
The exercises/labs were tailored to our own organizational needs.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
Working with real industry-leading ML tools, real datasets and being able to consult with a very experienced data scientist.
Zakład Usługowy Hakoman Andrzej Cybulski
Course: Applied AI from Scratch in Python
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski
Course: Applied AI from Scratch in Python
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
Course: Applied AI from Scratch in Python
Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.
Daniele Tagliaferro - Creditsafe Italia Srl
Course: Web Scraping with Python
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
Course: Python in Data Science
Helpful and good listener .. interactive
Ahmed El Kholy - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Learning new language.
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
I did like that there was a prominent hands on component. Kritika was very personable, knowledgeable, and helpful.
Noah Zarr - AllianceBernstein
Course: Python with Plotly and Dash
The final project and add new react.js component to Dash
AllianceBernstein
Course: Python with Plotly and Dash
Instructor is an expert in her subject matter. Teaching over zoom can be difficult since it's hard to gauge your audience but the instructor did great.
Nicolo Menez - AllianceBernstein
Course: Python with Plotly and Dash
Patience of the trainer while making sure everyone understand the lesson
Yeo Yu Xin - Ministry of Defence, Singapore
Course: Python for Data Analysis
It's very hands-on and I can follow despite the lack of calculus background.
Wei Pin Ho - Ministry of Defence, Singapore
Course: Python for Data Analysis
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Charles Lim - Ministry of Defence, Singapore
Course: Python for Data Analysis
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
Provided a very broad overview on object-oriented programming.
Course: Learn Object-Oriented Programming with Python
Dask Course Outlines in Luxembourg
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Luxembourg (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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