SC, Charleston - Faber Center
SC, Charleston - Meeting Street
Explore Our Courses
Cybersecurity with Python
14 HoursROS for Mobile Robots using Python
21 HoursPython Programming - 4 days
28 HoursAdvanced Python - 4 Days
28 HoursPython Programming Fundamentals
14 HoursPython in Data Science
35 HoursPython: Automate the Boring Stuff
14 HoursUnit Testing with Python
21 HoursPython with Plotly and Dash
14 HoursPython Programming for Finance
35 HoursApplied AI from Scratch in Python
28 HoursPython for Excel
14 HoursBDD with Python and Behave
7 HoursGUI Programming with Python and PyQt
21 HoursPython for Matlab Users
14 HoursPython for Data Analysis
28 HoursAdvanced Python - 1 Day
7 HoursWeb Scraping with Python
7 HoursPostgreSQL with Python
21 HoursRabbitMQ with Python
14 HoursGame Development with PyGame
7 HoursAdvanced Flask
14 HoursWeb Development with Web2Py
28 HoursWeb Development with Django
21 HoursAdvanced Django
14 HoursDjango CMS for Administrators
14 HoursDjango CMS for Developers
21 HoursLearn Django from Basic to Advanced
35 HoursWagtail CMS for Developers
21 HoursAnomaly Detection with Python and R
14 HoursArcGIS with Python Scripting
14 HoursBioinformatics with Biopython
14 HoursBuilding Chatbots in Python
21 HoursGPU Programming with CUDA and Python
14 HoursData Mining with Python
14 HoursIoT Programming with Python
14 HoursPython for Network Engineers
14 HoursParallel Programming with Python
14 HoursParlAI for Conversational AI
14 HoursProgramming for Biologists
28 HoursBackend Development with Python
35 HoursAnalyzing Financial Data with Python
35 HoursComputer Vision with Python
14 HoursData Visualization with Python
14 HoursPython Security
14 HoursGPU Data Science with NVIDIA RAPIDS
14 HoursRecommender Systems with Python
14 HoursNLP with Python and TextBlob
14 HoursText Summarization with Python
14 HoursLast Updated:
Testimonials (25)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The course was straight forward, intuitive, easy to follow, the exercises covered the subjects discussed beforehand.
Alexandru - BRD
Course - Python Programming Fundamentals
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Lots of examples of different cases, and materials which will be useful in future as I try to apply lessons to my work applications. Also, it was great that there were tasks to do at home in between lessons, as it gives the opportunity to pick up on the parts of the previous lesson, with which I struggled. If I had a question during a lesson, the teacher would gladly help and explain the problem, and the teacher had good expertise on all questions that were asked.
Raivis - Gravity Team
Course - Python: Automate the Boring Stuff
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Machine Translated
The trainer showed that he has a good understanding of the subject.
Marino - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days
very comprehensive in regards to doing data analysis using python
Mervin Lau - MINDEF
Course - Python for Data Analysis
Everything, great trainer.
Michał Rawicki
Course - Unit Testing with Python
Machine Translated
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.
Jenny - Andheo
Course - GPU Programming with CUDA and Python
Knowledge, substantive content, contact with others, willingness to help even with trivial problems, ability to interest listeners.
Michał
Course - Python for Excel
Machine Translated
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
Interesting knowledge
Gabriel - MINDEF
Course - Machine Learning with Python – 4 Days
Practical examples and wider context given.
James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course - IoT Programming with Python
examples based on our data
Witold - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)
I'm looking forward to having a training again with Any, he was really good, I'm just a GIS guy, but Any made everything clear to me, he explained complex processes in layman's terms. Keep it up, thank you.
Lwazi Qhingana - South African National Roads Agency (SANRAL) SOC Ltd
Course - Python for Geographic Information System (GIS)
The accesibilit of the trainer and the ability to communicate very effective,
Ciprian Ilie - Institutul National de Sanatate Publica
Course - Programming for Biologists
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
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
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 has deep knowledge about the subject and was able to answer all of our questions.
Lefteris Spatharakis - Sioufas & Associates Law Firm
Course - Django CMS for Developers
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Anthea King - WesCEF
Course - Computer Vision with Python
Its a new experience, a new framework and looking forward to do something using the lesson learnt in the classes.
Jigme - Bhutan Telecom
Course - Web Development with Django
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 did like the exercises.
Office for National Statistics
Course - Natural Language Processing with Python
As I was the only participant the training could be adapted to my needs.