Programming Opplæringskurs

Programming Opplæringskurs

Local, instructorled live Computer Programming training courses demonstrate through interactive handson practice the fundamentals and advanced topics of Programming

Programming training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop

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Programming Kursplaner

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Overview

Node.js is a platform for easily building fast, scalable network applications. Learn how to use the event-driven, non-blocking I/O model to build data-intensive real-time applications that run across distributed devices. We will explore the design choices that make Node.js unique, how this changes the way applications are built and how systems of applications work most effectively in this model. Learn how to create modular code that’s robust, expressive and clear. Understand when to use callbacks, event emitters and streams. Use streams to easily manipulate data that would be impossible to fit in application memory. Gain confidence in handling errors effectively to ensure runtime reliability. The course has extensive lab exercises to reinforce the concepts and techniques covered.

Objectives

On completion of this course, students will be able to:

- Clearly understand the platform design choices that led to Node.js choosing an event loop and what this means for applications built on that foundation.
- Understand the unique trade-offs present in event-driven programming.
- Create Node.js modules and express code modularity in an application.
- Understand the core flow control patterns in Node.js and know when it is appropriate to use callbacks, event emitters or streams.
- Create and manipulate buffers efficiently.
- Understand how to manage error state and know when a process should exit due to an error.
- Build network applications with Node.js.
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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.
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This instructor-led, live training in Norge (online or onsite) is aimed at software architects and web developers who wish to use RabbitMQ as a messaging middle-ware and program in Java using Spring to build applications.

By the end of this training, participants will be able to:

- Use Java and Spring with RabbitMQ to build applications.
- Design asynchronous message driven systems using RabbitMQ.
- Create and apply queues, topics, exchanges, and bindings in RabbitMQ
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JavaScript is a programming language designed for manipulating a web page.
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In this instructor-led, live training in Norge, 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.
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In this instructor-led, live training in Norge, participants will learn how to install, configure and administer RabbitMQ, then integrate RabbitMQ messaging into a number of sample .NET applications.

By the end of this training, participants will be able to:

- Setup, configure and manage RabbitMQ.
- Understand RabbitQ's role in the design and implementation of a microservices architecture.
- Understand how RabbitMQ compares to other Message Queuing Architectures.
- Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world enterprise .Net applications.
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In this instructor-led, live training in Norge, 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.
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This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to use advanced VBA in Excel for automating tasks.

By the end of this training, participants will be able to:

- Write an advanced object-oriented application
- Convert text files
- Use of external data sources
- Use external libraries
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In this instructor-led, live training in Norge (online or onsite), participants will learn how to decouple a PHP application, then integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices.

By the end of this training, participants will be able to:

- Setup, configure and manage RabbitMQ.
- Understand RabbitMQ's role in the design and implementation of a microservice's architecture.
- Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world PHP applications.
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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.
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This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks.

By the end of this training, participants will be able to:

- Record and edit macros as required.
- Write procedures using data from the sheet.
- Create your own functions.
- Handle an event (opening worksheet cell update etc.) by means of the handler.
- Create a form.
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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.
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This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks.

By the end of this training, participants will be able to:

- Record and edit macros as required.
- Write procedures using data from the sheet.
- Create your own functions.
- Handle an event (opening worksheet cell update etc.) by means of the handler.
- Create a form.
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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.
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This instructor-led, live training in Norge 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.
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This instructor-led, live training in Norge (online or onsite) is aimed at web developers who wish to use the MERN Stack for fullstack development.

By the end of this training, participants will be able to:

- Integrate React with MongoDB, Express, and Node.js.
- Build a fullstack web application from scratch.
- Implement application security through authorization and authentication.
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In this instructor-led, live training in Norge, 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.
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The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.
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Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
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In this instructor-led, live training in Norge, 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.
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This instructor-led, live training in Norge (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.
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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.
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This instructor-led, live training in Norge (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud.

By the end of this training, participants will be able to:

- Build and deploy Java microservices in Docker containers.
- Manage Docker containers using Kubernetes.
- Integrate microservices with an existing monolithic system.
- Monitor, test, and secure microservices.
- Troubleshoot containers and orchestration environments.
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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.
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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

Audience

- Developers
- Analysts
- Quants

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- 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.
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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.
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This is a 5 day introduction to Data Science and Artificial Intelligence (AI).

The course is delivered with examples and exercises using Python
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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.
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Deep Reinforcement Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human's ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning is different from machine learning and does not rely on supervised and unsupervised learning approaches.

In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.

By the end of this training, participants will be able to:

- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent

Audience

- Developers
- Data Scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
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In this instructor-led, live training in Norge 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.

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