This instructor-led, live training in 广州 (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.
By the end of this training, participants will be able to:
Understand the basics of Python programming language.
Implement Python code in Google Colab environment.
Utilize control structures to manage the flow of a Python program.
Create functions to organize and reuse code effectively.
Explore and use basic libraries for Python programming.
This instructor-led, live training in 广州 (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
Set up a development environment that includes Python, Pandas, and NumPy.
Create a data analysis application using Pandas and NumPy.
Perform advanced data wrangling, sorting, and filtering operations.
Conduct aggregate operations and analyze time series data.
Visualize data using Matplotlib and other visualization libraries.
In this instructor-led, live training in 广州, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.
By the end of this training, participants will be able to:
Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting.
Select and organize source content, plan sentences, and prepare a system for automatic generation of original content.
Understand the NLG pipeline and apply the right techniques at each stage.
Understand the architecture of a Natural Language Generation (NLG) system.
Implement the most suitable algorithms and models for analysis and ordering.
Pull data from publicly available data sources as well as curated databases to use as material for generated text.
Replace manual and laborious writing processes with computer-generated, automated content creation.
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
课程 - Machine Learning with Python – 2 Days
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
课程 - Developing APIs with Python and FastAPI
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
课程 - Build REST APIs with Python and Flask
练习很好
Vyshnavi Iyappan - Red Embedded Consulting Sp. z o.o.
课程 - Unit Testing with Python
机器翻译
The explaination
Wei Yang Teo - Ministry of Defence, Singapore
课程 - Machine Learning with Python – 4 Days
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Charles Lim - Ministry of Defence, Singapore
课程 - Python for Data Analysis
Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.
Daniele Tagliaferro - Creditsafe Italia Srl
课程 - Web Scraping with Python
The trainer has deep knowledge about the subject and was able to answer all of our questions.
Lefteris Spatharakis - Sioufas & Associates Law Firm
课程 - 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
课程 - Computer Vision with Python
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
课程 - Python in Data Science
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
课程 - Introduction to Data Science and AI (using Python)
Trainer develops training based on participant's pace
Farris Chua
课程 - Data Analysis in Python using Pandas and Numpy
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
课程 - Applied AI from Scratch in 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.
课程 - Python Programming Fundamentals
1:1 very intensive but learnt a lot.
Karen Dyke - BT
课程 - Python: Automate the Boring Stuff
The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.
Fahad Malalla - Tatweer Petroleum
课程 - Advanced Python
I mostly enjoyed everything.
Thukten Dendup - Bhutan Telecom
课程 - Web Development with Django
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
课程 - Python for Advanced Machine Learning
I did like the exercises.
Office for National Statistics
课程 - Natural Language Processing with Python
As I was the only participant the training could be adapted to my needs.
Kevin THIERRY
课程 - Web Development with Web2Py
I preferred the exercise and learning about the nooks and crannies of Python.
