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Training

What training courses are available?

Intersect offers a wide range of specialised courses for researchers, from beginner through to advanced levels in working with data, programming and automation, and high performance computing (HPC):

Level Data Software Compute
General Research Data Management Techniques Software Carpentry Workshop Introduction to Unix Unix for HPC Introduction to Unix
  Introduction to Data Visualisation with Google Fusion Tables Introduction to Programming in Python Data Transfer from PC to HPC
  Cleaning and Exploring your Data with Open Refine Introduction to Programming in R Intermediate HPC
  Excel for Researchers Introduction to Programming in MATLAB    
  Powerful Text Searching and Matching with Regular Expressions Introduction to Version Control with Git    
  Regular Expressions on Command   Using Databases & SQL    
Specialist         Parallel Programming for HPC

 

Find information on individual courses, and downloadable course outlines, by clicking the course name in the matrix above. You can also download a single file containing all 16 course outline by clicking here.

Delivered by Intersect's team of experts, training courses are customised and are regularly updated. Held at a training lab on campus, courses provide practical and research-relevant hands-on exercises. 

Upcoming courses​​​​​​​

  • 6 Dec 2016: "Excel Fu: Excel for Researchers" at UoN Callaghan. Enrol now
  • 7 Dec 2016: "Cleaning & Exploring your data with Open Refine" at UoN Callaghan. Enrol now
  • 7 Dec 2016: "Data Visualisation with Google Fusion Tables" at UoN Callaghan. Enrol now
  • 12 Dec 2016: "Excel Fu: Excel for Researchers" at LTU Bundoora. Enrol now
  • 14 Dec 2016: "Introduction to the Nectar Cloud" at LTU Bundoora. Enrol now
  • 16 Dec 2016: "Powerful text searching and matching with Regexes" at LTU Bundoora. Enrol now

 


Who can access the service?

  • Researchers, research groups, and Higher-Degree Research students from any Intersect member organisation.
  • For people and organisations outside the Intersect membership, training can be provided on a fee-for-service basis. Please email us: training@intersect.org.au.

 

What costs are involved?

  • Places are fully subsidised and provided at no cost to researchers and Higher-Degree Research students from Intersect member institutions.
  • For non-member organisations or individual researchers not associated with an Intersect member university, fees are charged depending on the nature and length of the training course. Fees will generally be $500 per day per participant. Depending on the location, additional charges may apply to cover costs (for instance trainer travel). Please email us: training@intersect.org.au.

 

If I cannot make it, how do I cancel my training?

If you are registered but cannot make it (we understand that plans can change), we kindly ask that you cancel your place:

  • Through Eventbrite: follow the cancellation instructions at the bottom of the email you received. Log into Eventbrite and choose under 'My Tickets' the event you are registered for. Under 'Current Orders', click 'Cancel Order'.
  • Or send us an email at training@intersect.org.au to release your spot for someone else to benefit from the training. Thanks in advance!

 


Courses we offer

Research Data Management Techniques

Duration 2.5 hours Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how?

This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.

Download  Download the course outline (PDF) for more details.  Top

 

Data Visualisation with Google Fusion Tables

Duration 2.5 hours Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Have you got data in different forms that you want to compare directly? Do you want to show your data on a map to improve your research message?

This workshop is an introduction to data visualisation techniques using hands-on activities in Google Fusion Tables. The course is ideal for participants who work with large data sets and want to convey their research outcomes clearly and persuasively in a visual manner. By merging geospatial data and crime statistics to create a heat map, participants will gain skills in visualisation that they can apply to their research.

Download  Download the course outline (PDF) for more details.  Top

 

Cleaning and Exploring your Data with Open Refine

Duration 3 hours Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Do you have messy data from multiple inconsistent sources, or open-responses to questionnaires? Do you want to improve the quality of your data by refining it and using the power of the internet?

Open Refine is the perfect partner to Excel. It is a powerful, free tool for exploring, normalising and cleaning datasets, and extending data by accessing the internet through APIs. In this course we'll work through the various features of Refine, including importing data, faceting, clustering, and calling remote APIs, by working on a fictional but plausible humanities research project.

Download  Download the course outline (PDF) for more details.  Top

 

Excel Fu: Excel for Researchers

Duration 7 hours Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.

While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.

Download  Download the course outline (PDF) for more details.  Top

 

Introduction to Unix for HPC

Duration 2 days Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you've run out of memory? Would you like to unleash to power of the Unix command line to automate your analysis and then apply those skills to run your analysis on supercomputers that you can access for free?

High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This 2-day course will introduce you to the Unix environment and show you how to transfer your data onto, and run software on HPC infrastructure.

Download  Download the course outline (PDF) for more details.  Top

 

Intermediate HPC

Duration 3 hours Prerequisites Prerequisites (See below) Location At your campus Cost involved No cost to members

High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This short course provides a hands on introduction to running software on HPC infrastructure.

Note:

Download  Download the course outline (PDF) for more details.  Top

 

Parallel Programming for HPC

Duration 6 hours Prerequisites Prerequisites (See below) Location At your campus Cost involved No cost to members

You have written, compiled and run functioning programs in C and/or Fortran. You know how HPC works and you've submitted batch jobs.

Now you want to move from writing single-threaded programs into the parallel programming paradigm, so you can truly harness the full power of High Performance Computing.

Note: This is an advanced course for people who are already familiar with High-Performance Computing.

Download  Download the course outline (PDF) for more details.  Top

 

Powerful text searching and macthing with Regular Expressions

Duration 2.5 hours Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Have you ever wanted to extract phone numbers out of a block of unstructured text? Or email addresses. Or find all the words that start with “e” and end with “ed”, no matter their length? Or search through DNA sequences for a pattern? Or extract coordinates from GPS data?

Regular Expressions (regexes) are a powerful way to handle a multitude of different types of data. They can be used to find patterns in text and make sophisticated replacements. Think of them as find and replace on steroids. Come along to this workshop to learn what they can do and how to apply them to your research.

Download  Download the course outline (PDF) for more details.  Top

 

Regular Expressions on Command

Duration 3 hours Prerequisites Prerequisites (See below) Location At your campus Cost involved No cost to members

Would you like to use regular expressions with the classic command line utilities find, grep, sed and awk? These venerable Unix utilities allow you to search, filter and transform large amounts of text (including many common data formats) efficiently and repeatably.

Note: To take this course you must first take Powerful text searching and macthing with Regular Expressions.

Download  Download the course outline (PDF) for more details.  Top

 

Software Carpentry

Duration 2 days Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Seeking a friendly introduction to programming or the Unix command line? Already writing scripts but want to fill in the blanks in your knowledge of programming? New to Python, R or MATLAB and would like to get a sense of its capabilities? Have you mistakenly overwritten programs or data and want to learn techniques to avoid doing it again?

Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Download  Download the course outline (PDF) for more details.  Top

 

Introduction to Unix

Duration 1 day Prerequisites No prerequisites Location At your campus Cost involved No cost to members

The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line.

Download  Download the course outline (PDF) for more details.  Top

 

Introduction to Programming with Python

Duration 1 day Prerequisites No prerequisites Location At your campus Cost involved No cost to members

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language. And it boasts a rich set of libraries for working with data.

We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.

Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Download  Download the course outline (PDF) for more details.  Top

 

Introduction to Programming with R

Duration 1 day Prerequisites No prerequisites Location At your campus Cost involved No cost to members

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Download  Download the course outline (PDF) for more details.  Top

 

Introduction to Programming with MATLAB

Duration 1 day Prerequisites No prerequisites Location At your campus Cost involved No cost to members

MATLAB is an incredibly powerful programming environment with a rich set of analysis toolkits. But what if you're just getting started – with MATLAB and, more generally, with programming? Nothing beats a hands-on, face-to-face training session to get you past the inevitable syntax errors!

So join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Download  Download the course outline (PDF) for more details.  Top

 

Introduction to Version Control with Git

Duration 3 hours Prerequisites Prerequisites (See below) Location At your campus Cost involved No cost to members

Have you mistakenly overwritten programs or data and want to learn techniques to avoid repeating the loss? Version control systems are one of the most powerful tools available for avoiding data loss and enabling reproducible research. While the learning curve can be steep, our trainers are there to answer all your questions while you gain hands on experience in using Git, one of the most popular version control systems available.

Join us for this workshop where we cover the fundamentals of version control using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Download  Download the course outline (PDF) for more details.  Top

 

Using Databases & SQL

Duration 3 hours Prerequisites Prerequisites (See below) Location At your campus Cost involved No cost to members

A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data.

Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power.

Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

Download  Download the course outline (PDF) for more details.  Top