
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. The US onsite live Dask trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
I really liked the demos and the content.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.
Matthew Pepper - Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The last two days went more into state of the art and available tools that exist for training and deploying models. Also getting a better understanding of pytorch was very useful for me as someone who was only familiar with keras but have been seeing more and more implementations in pytorch.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The instructors were super knoweledgeable and skilled at conjuring up anything we could ask for examples on. That was amazing. Hopefully we can get to that level in time.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The colab notebooks we get to keep
Palmer Greer - Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
Breadth of content was good, even though the main focus seemed more on image/video processing.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The clarity with which it was presented
John McLemore - Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (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)
Overall good intro to Python. The format of using Jupyter notebook and live examples on the projector was good for following along with the exercises.
ASML
Course: Python for Matlab Users
Teaching style and ability of the trainer to overcome unforeseen obstacles and adapt to circumstances. Broad knowledge and experience of the trainer
ASML
Course: Python for Matlab Users
Content and example. virtual computer is helpful (my version of anaconda does not have Dash library yet)
Jennifer Ni - AllianceBernstein
Course: Python with Plotly and Dash
Lots of exercises and good visualizaiton
AllianceBernstein
Course: Python with Plotly and Dash
The instructor’s Patience
AllianceBernstein
Course: Python with Plotly and Dash
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
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 organized.
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
Dask Course Outlines
- 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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