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. Lithuania 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 preferred the exercise and learning about the nooks and crannies of Python.
Connor Brierley-Green
Course: Python Programming
Joey has an infectious enthusiasm about programming. And he was very good at adapting to our needs and interests on the fly.
Randy Enkin
Course: Python Programming
Many examples made me easy to understand.
Lingmin Cao
Course: Python Programming
Fact that customization was taken seriously.
jurgen linsen
Course: Python Programming
I did like the exercises.
Office for National Statistics
Course: Natural Language Processing with Python
I liked the helpful and very kind.
Natalia Machrowicz
Course: Python Programming
We did practical exercises (the scripts we wrote can be used in our everyday work). It made the course very interesting. I also liked the way the trainer shared his knowledge. He did it in a very accessible way.
Malwina Sawa
Course: Python Programming
Very good approach to memorize/repeat the key topics. Very nice “warm-up” exercises.
Course: Python Programming
* Enjoyable exercises. * Quickly moved into more advanced topics. * Trainer was friendly and easy to get on with. * Customized course for needs of team.
Matthew Lucas
Course: Python Programming
I enjoyed the felixibility to add specific topics into the course / lessons.
Marc Ammann
Course: Python Programming
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 case studies helped us understand how we can apply Python in the industry. Really appreciated the trainer's help during the exercises.
Rajiv Dhingra - TCS
Course: Python Programming
As we are PHP developers, he understood the situation and allowed us to slowly map things between. I liked the examples and the humor he added.
Soumya Tyagi - TCS
Course: Python Programming
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - 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 generally liked the subject matter.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
The trainer was sharing real word experiences, it's nice to learn from real professional.
Fednot
Course: Python Programming
The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.
Fahad Malalla - Tatweer Petroleum
Course: Advanced Python
1:1 very intensive but learnt a lot.
Karen Dyke - BT
Course: Python: Automate the Boring Stuff
I mostly enjoyed the subject.
Proximus
Course: Python Programming
The way the exercises were organized : all on own tempo and Antonio there to help you further.
Proximus
Course: Python Programming
I liked the sufficient and very detailed reading materials and examples (slides).
HC Consumer Finance Philippines, Inc.
Course: Python Programming
I genuinely liked the na.
HC Consumer Finance Philippines, Inc.
Course: Python Programming
What I like the most about the training is that everything in the course outline is something that will be useful for our projects.
Joanna Marie Escueta - Aarki, Inc.
Course: Python Programming
The overview/the recommendations
frddy de meersman - Proximus
Course: Python Programming
Labs
Proximus
Course: Python Programming
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Explore
Course: Deep Reinforcement Learning with Python
practice tasks
Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo
Course: Python and Spark for Big Data (PySpark)
Recap of previous day, trainer very knowledgable in answering questions
Mateusz Jaros - GE Medical Systems Polska Sp. Zoo
Course: Python Programming
It gave me a broad overview of the possibilites
GE Medical Systems Polska Sp. Zoo
Course: Python Programming
really kind, good approach to trainees, helpful
GE Medical Systems Polska Sp. Zoo
Course: Python Programming
I like pace of the training. It was good and we were able to cover many aspects of programming language. Trainer was able to show many applications of Python in very informative way. Trainer sent to us many scripts and micro-programs for furher reference which is very useful. I like, that we started training with some technical remarks and setting up virtual environment.
Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo
Course: Python Programming
I thought John was very knowledgeable and able to diseminate information in a very understandable way.
Crux Product Design
Course: Python Programming Fundamentals
John was a very friendly and knowledgeable trainer and was keen to adapt the course to our requests.
Crux Product Design
Course: Python Programming Fundamentals
Gaining a better understanding of object oriented programming as this is a key difference to programming in Matlab (which I am much more familiar with). The training should hopefully be very useful!
Crux Product Design
Course: Python Programming Fundamentals
knew his subject well
Albert JACOB - Proximus
Course: Python Programming
The exercises combined with the experienced help of the trainer
Proximus
Course: Python Programming
The fact that we could practice a lot. Even though for me being a newbe the pace was to fast and explanation too few. However, probably due to the mixed knowkedge level of the students attending the class.
Proximus
Course: Python Programming
Trainer obviously had a great holistic understanding of programming.
Crux Product Design
Course: Python Programming Fundamentals
the last day. generation part
Accenture Inc
Course: Python for Natural Language Generation
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
I enjoyed the sentinal analysis/ data science aspect of the course.
Jake Hamilton - Scottish Government
Course: Python Programming
pace and explanations
Centric IT Solutions Lithuania
Course: Advanced Python
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
The trainer was great! If he would have more time I think we could have learned a lot more.
Zarim Jei Serrano - Cloudstaff Philippines, Inc.
Course: Python Programming Fundamentals
Exercises
Vince Christian Henson - Cloudstaff Philippines, Inc.
Course: Python Programming Fundamentals
It makes the trick. A good introduction (and more) to python.
jean-christophe GOLDBERG - Proximus
Course: Python Programming
* Organization * Trainer's expertise with the subject
ENGIE- 101 Arch Street
Course: Python and Spark for Big Data (PySpark)
Teaching style and ability of the trainer to overcome unforeseen obstacles and adopt to circumstances. Broad knowledge and experience of the trainer
ASML
Course: Python for Matlab Users
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
Very good approach to memorize/repeat the key topics. Very nice “warm-up” exercises.
Course: Python Programming
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 Lithuania
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Lithuania (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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Consulting in Lithuania
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