1. Course description.
This one-day training course is ideal for Data Scientists who want to learn essential skills in graph processing and social networks analysis. The course will introduce the attendees to the theory of graphs, their various metrics (centrality, betweenness etc.) and a number of community detection algorithms e.g. connected components, strongly connected components, label propagation and PageRank. Practical exercises and tutorials will be carried out using popular igraph package for R (also available for Python and C) and the attendees will also be introduced to GraphX - Apache Spark library for fast graph analytics of large networks. The course therefore will offer not only a high level of detail on methods of graphs and social networks analysis, but it will also provide the attendees with additional skills in R and Scala programming languages.
During the course the attendees will also perform simple Spark (GraphX) jobs on a Mind Project distributed computing cluster.
The course will run for 1 day from 9:30am until ~5:00pm and will consist of alternating lecture-style presentations and practical tutorials. The example datasets used during tutorial sessions will come from social sciences, economics and business fields, however the contents may vary depending on specific interests of participants (based on the Participant's Skills Inventory). There will be two 15-minute coffee/tea breaks and one 1-hour lunch break during the course.
3. What is included?
Apart from the contents of the course, Mind Project will provide the participants with the following:
- a digital (USB memory stick) Course Manual including all presentation slides, R/Spark course codes and a list of reference books and online resources,
- additional home exercises and all data sets available to download,
- Wi-Fi access,
- Central London location - at the Ironmongers' Hall, next to the Barbican station and the Museum of London,
- networking opportunity,
- Mind Project course attendance certificate.
4. Further instructions.
- In order to fully benefit from the training course, we recommend that attendees bring their personal WiFi-enabled laptops to the session with at least one of the following web browsers installed: Chrome, Safari, Mozilla Firefox and/or Internet Explorer. Also, the laptops should be equipped with a simple text editor suitable for code/script typing e.g. Notepad++ (for Windows users) or TextWrangler (for Mac users). Please be advised that we do not recommend the following applications: WordPad, Gedit or TextEdit.
- This course is targeted at IT literate users with interest in Social Networks and Big Data processing and architecture. No prior exposure to the graph and network analytics tools is required.
- Also, we recommend that the attendees have the most recent version of R and R Studio software installed as some tutorials will contain exercises in R. As R is a free environment you can download it directly from www.r-project.org website and R Studio is available at https://www.rstudio.com/products/rstudio/#Desktop. Please contact us should you have any questions or issues with the installation process.
- Participants are encouraged to complete the online Participant's Skills Inventory available at http://mindproject.co.uk/skillsinventory.html to allow Mind Project and our course tutors to customise the contents of the course depending on the level of participants' knowledge and their areas of interest. The data obtained through the Participant's Skills Inventory will be held fully-confidential and will only be used to provide a quality data analysis training.
- By purchasing a place on one of our courses you agree to the Terms and Conditions available at http://mindproject.co.uk/trainingterms.html. Please read the Terms and Conditions before making a booking.
- The deadline for registrations on this training course is Wednesday, 19th of October 2016 at 16:00 London (UK) time. However, Mind Project reserves the right to end the registration process earlier if all places are booked before the deadline.
Should you have any questions please contact Mind Project Ltd at email@example.com or by phone on 0203 322 3786. Please visit the course website at http://mindproject.co.uk/networks-london-oct16.html.