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Our winter training sessions continue!

Use our training portal to discover what ACENET training sessions are coming up, register and participate in sessions, and access course materials. You can still view our full catalogue of offerings on our .听

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Using Spreadsheets to Organize Data
26 February, 1300-1600hrs Atlantic | 1330-1630hrs NL
Good data organization is the foundation of any research project. Most researchers have data in spreadsheets, so it鈥檚 the starting place for many research projects. To use tools that make computation and analysis more efficient, such as programming languages like R or Python, we need to structure our data the way that computers need the data. This workshop aims to teach researchers basic concepts, skills, and tools for working with data to get more done quickly and with less pain. In this lesson, you will learn good data entry practices, how to avoid common formatting mistakes, approaches for handling dates in spreadsheets, basic quality control and data manipulation, and exporting data from spreadsheets.

Introductory Programming with Python
4, 6 March, 1300-1600hrs Atlantic | 1330-1630hrs NL听
Join us for an engaging and interactive introduction to programming with Python. Whether you are a complete beginner or looking to strengthen your foundational knowledge, this workshop will provide you with the essential building blocks of Python programming. Throughout the sessions, you鈥檒l build a strong foundation in Python by learning how to write and structure code, work with different types of data, and create dynamic programs using decision-making and loops. You鈥檒l also explore how functions help organize your code and how libraries can expand your programming capabilities, making it easier to tackle more complex tasks. This hands-on experience will give you the confidence to start coding and problem-solving effectively.

Big Data Analysis with Apache Spark
11, 13 March, 1300-1600hrs Atlantic | 1330-1630hrs NL
Apache Spark is an open-source software for large-scale data processing and analysis. Using Apache Spark and Python (PySpark), this workshop is aimed at analyzing data sets that are too large to be handled and processed by a single computer. In a hands-on format using PySpark, participants will learn to import data, and use functions to transform, reduce and compile the data. You will also learn how to produce parallel algorithms that can run on the national clusters.

Foundations of Machine Learning
14 March, 1330-1630hrs Atlantic | 1400-1700hrs NL
Are you curious about machine learning but unsure where to start or whether it's the right fit for you? Join ACENET for an introductory session that explores the fundamentals of machine learning and its applications. We鈥檒l break down key terminology鈥攎achine learning, deep learning, and neural networks鈥攕o you can confidently navigate the field. You'll learn about essential methods, from simple models like Linear Regression and Decision Trees for classification to more advanced techniques such as Support Vector Machines and Neural Networks鈥攖he foundation of Large Language Models. We鈥檒l also discuss practical considerations for setting up a machine learning project, including the resources you need, data collection strategies, factors that contribute to success, and lessons to take away when things don鈥檛 go as planned.