Online or onsite, instructor-led live Python training courses demonstrate through hands-on practice various aspects of the Python programming language. Some of the topics covered include the fundamentals of Python programming, advanced Python programming, Python for test automation, Python scripting and automation, and Python for Data Analysis and Big Data applications in areas such as Finance, Banking and Insurance.
NobleProg Python training courses also cover beginning and advanced courses in the use of Python libraries and frameworks for Machine Learning and Deep Learning.
Python 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. Onsite live Python training can be carried out locally on customer premises in Indonesia or in NobleProg corporate training centers in Indonesia.
NobleProg -- Your Local Training Provider
Testimonials
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 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
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
The first 2 days were very informative. it gets messy when you get into frameworks because every projects has its own goals and requirements and sometimes the 'popular' framework isn't suitable.
Raphael Treccani-Chinelli - Jonathan Rico, Nordic Semiconductor ASA
Course: Advanced Python - 4 Days
How flexible Gunnar was with what he taught. He seemed well prepared and of god knowledge in the topic.
Jonathan Rico, Nordic Semiconductor ASA
Course: Advanced Python - 4 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 trainer was friendly and had a very good way of explaining the topics to us
Thames Water Utilities Ltd
Course: Python: Automate the Boring Stuff
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 hands-on exercise and the instructor seem very knowledgeable.
Ashok Nair, City of Calgary
Course: Machine Learning with Python – 4 Days
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
Witold Iwaniec - Ashok Nair, City of Calgary
Course: Machine Learning with Python – 4 Days
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
The trainers depth of knowledge & explanations, he could explain difficult concepts quite intuitively!
KnowledgePool
Course: Python for Advanced Machine Learning
The trainer was very knowledgeable, he was able to answer every question, was able to bug fix coding issues, and could tie a lot of the topics into his real life experiences. The trainer's knowledge applied to a different approach to coding (see above) would have been perfect.
Premier Partnership
Course: Python for Advanced Machine Learning
Seeing the practical examples
Premier Partnership
Course: Python for Advanced Machine Learning
Trainer knowledge and experience on subject matter is very deep
Premier Partnership
Course: Python for Advanced Machine Learning
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
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 loved summaries
Martyna - Robert Kwiatkowski, Orange Szkolenia Sp. z o.o.
Course: Unit Testing with Python
Materials Trainer
Zakar Abid - Gehan Hisham Elraey, TII
Course: Unit Testing with Python
Did hands on exercise. Walked through the code. Explained everything very well
Steve Thomas - Gehan Hisham Elraey, TII
Course: Unit Testing with Python
monkeypatch, fixtures, proper writing tests
Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
No rushing things, though a bit too slow sometimes. Checking excercises with group and comparing solutions
Piotr - Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
możliwość dopytania w każdej chwili
Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
good is a previous day material repeat
Alicja Regulska, ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.
Course: Unit Testing with Python
The trainer is interactive with the audience. He is able to reply the questions easily and gives the accurate examples and illustrations in real life. The theoritical and practical rythm are smooth. The exercices give the user a better experience to think and structure his/ her way of testing and developping. Numpy and Pandas may be useful in order to better exploit data, such as performance results, statistics, image treatement, calculating the correlation for biological set images. The Django framework would be helpful for building web API. All this knowledge is an asset. However, I am not sure this would be fruitful for other contexts, since we need unit and Integration tests of Java apps in Python.
Soumaya ELALOUANI - Stéphanie Vander Straeten, Telemis
Course: Unit Testing with Python
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 programming.
Course: Learn Object-Oriented Programming 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 programming.
Course: Learn Object-Oriented Programming with Python
Python Course Outlines in Indonesia
Course Name
Duration
Overview
Course Name
Duration
Overview
35 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.
By the end of this training, participants will be able to:
- Perform data analysis using Python, R, and SQL.
- Create insights through data visualization with Tableau.
- Make data-driven decisions for business operations.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at experienced developers who wish to gain a comprehensive understanding of Python programming and its applications in cybersecurity.
By the end of this training, participants will be able to:
- Use Python programming for defensive cybersecurity.
- Understand and use Python for ethical offensive techniques and digital forensics tasks.
- Recognize legal and ethical considerations surrounding offensive cybersecurity and vulnerability disclosure.
21 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at developers who wish to use and integrate Spark, Hadoop, and Python to process, analyze, and transform large and complex data sets.
By the end of this training, participants will be able to:
- Set up the necessary environment to start processing big data with Spark, Hadoop, and Python.
- Understand the features, core components, and architecture of Spark and Hadoop.
- Learn how to integrate Spark, Hadoop, and Python for big data processing.
- Explore the tools in the Spark ecosystem (Spark MlLib, Spark Streaming, Kafka, Sqoop, Kafka, and Flume).
- Build collaborative filtering recommendation systems similar to Netflix, YouTube, Amazon, Spotify, and Google.
- Use Apache Mahout to scale machine learning algorithms.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.
By the end of this training, participants will be able to:
- Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
- Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
- Get a refresher on the fundamentals of Python and SQL.
- Perform data pre-processing techniques in Python.
- Learn how to connect Python and SQL for data analysis.
- Create insightful data visualizations and charts with Tableau.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.
By the end of this training, participants will be able to:
- Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
- Understand the key concepts, features, and benefits of the FARM stack.
- Learn how to build REST APIs with FastAPI.
- Learn how to design interactive applications with React.
- Develop, test, and deploy applications (front end and back end) using the FARM stack.
28 hours
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).
The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.
Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
28 hours
In this instructor-led, live training in Indonesia, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
21 hours
In this instructor-led, live training in Indonesia, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
14 hours
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
35 hours
The training course will help the participants prepare for Web Application Development using Python Programming with Data Analytics. Such data visualization is a great tool for Top Management in decision making.
14 hours
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
14 hours
This instructor-led, live training in Indonesia is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
21 hours
In this instructor-led, live training in Indonesia, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 hours
In this instructor-led, live training in Indonesia, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.
By the end of this training, participants will be able to:
- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
28 hours
The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
28 hours
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
35 hours
Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
- Developers
- Analysts
- Quants
- Part lecture, part discussion, exercises and heavy hands-on practice
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
21 hours
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
35 hours
This is a 5 day introduction to Data Science and Artificial Intelligence (AI).
The course is delivered with examples and exercises using Python
28 hours
This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.
14 hours
In this instructor-led, live training in Indonesia participants combine the power of Python with Selenium to automate the testing of a sample web application. By combining theory with practice in a live lab environment, participants will gain the knowledge and practice needed to automate their own web testing projects using Python and Selenium.
14 hours
In this instructor-led, live training in Indonesia (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.
By the end of this training, participants will be able to:
- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
14 hours
In this instructor-led, live training in Indonesia, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
7 hours
This instructor-led, live training in Indonesia begins with a discussion of BDD and how the Behave framework can be used to carry out BDD testing for web applications. Participants are given ample opportunity to interact with the instructor and peers while implementing the concepts and tactics learned in this hands-on, practice-based lab environment.
By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
21 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at persons who wish to program a visually attractive software application using Python and the Qt UI framework.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.
By the end of this training, participants will be able to:
- Install and configure a Python development environment.
- Understand the differences and similarities between Matlab and Python syntax.
- Use Python to obtain insights from various datasets.
- Convert existing Matlab applications to Python.
- Integrate Matlab and Python applications.
14 hours
Object-Oriented Programming (OOP) is a programming paradigm based around the concept of objects. OOP is more data-focused rather than logic-focused. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn how to get started with Object-Oriented Programming using Python.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of Object-Oriented Programming
- Understand the OOP syntax in Python
- Write their own object-oriented program in Python
- Beginners who would like to learn about Object-Oriented Programming
- Developers interested in learning OOP in Python
- Python programmers interested in learning OOP
- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
In this instructor-led, live training in Indonesia, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of deep learning.
- Learn the applications and uses of deep learning in telecom.
- Use Python, Keras, and TensorFlow to create deep learning models for telecom.
- Build their own deep learning customer churn prediction model using Python.
Last Updated:
Upcoming Python Courses in Indonesia
Natural Language Processing (NLP) with Deep Dive in Python and NLTK
2023-09-29 09:30
35 hours
Unit Testing with Python
2023-10-13 09:30
21 hours
Natural Language Processing (NLP) with Deep Dive in Python and NLTK
2023-10-27 09:30
35 hours
Python Programming for Finance
2023-11-10 09:30
35 hours
Unit Testing with Python
2023-11-24 09:30
21 hours
Text Summarization with Python
2023-12-08 09:30
14 hours
Machine Learning for Banking (with Python)
2023-12-22 09:30
21 hours
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Online Python courses, Weekend Python courses, Evening Python training, Python boot camp, Python instructor-led, Weekend Python training, Evening Python courses, Python coaching, Python instructor, Python trainer, Python training courses, Python classes, Python on-site, Python private courses, Python one on one training
