PyQt Training Courses

Provided alot of materials as well as sample codes. Linking each topic to the sample codes makes it easier for participants to catch up.

Home Team Science and Technology Agency

Course: Developing GUI Python Applications with PyQt

I did like the exercises

Office for National Statistics

Course: Natural Language Processing with 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 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

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

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 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

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 programmeming.

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 organisation, 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 organisational 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

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 programmeming.

Course: Learn Object-Oriented Programming with Python