Big Data Methods with R – London – June 2019

£600.00£750.00

When? 13th-14th of June 2019

Where? London Institute of Banking & Finance, 8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ, United Kingdom

Course type? 2-day open-to-public training course

Deadline for registrations? Monday, 10th of June 2019 at 16:00 London (UK) time

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Description

This two-day course covers one of the most exciting and current topics within the R community. Although traditionally R has not been used for Big Data analytics due to its limitations, recent R packages have provided much-needed connectivity for out-of-memory processing with popular Big Data tools such as Hadoop, Spark, SQL and NoSQL databases etc.

During this training course, you will learn essential know-how on applications of R language to manage, manipulate and analyse Big Data, datasets stored in distributed file systems or large databases, and to write fast, parallel R code to allow scalability of algorithms and data processing. The course also serves as a good introduction to Cloud Computing (Amazon Web Services and Microsoft Azure) and the growing ecosystem of tools that support Big Data analytics including methods applicable to large scale statistical and machine learning (h2o, Spark).

The course will be presented by Simon Walkowiak – an author of “Big Data Analytics with R” and Mind Project’s expert in Big Data architecture for predictive modelling. Simon has delivered numerous “Big Data Methods with R” training courses at various institutions, financial/business organisations, governmental departments and UK universities (including Big Data & Analytics Summer School organised by the Institute for Analytics and Data Science). He is also a former Data Curator at the UK Data Archive – the largest socio-economic digital data depository in Europe.


 

Programme outline

The course will run for two days (Thursday and Friday) between 9:30am and 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, psychology, business and finance 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 on each day of the course.

The programme for this course covers the following concepts and topics:

    • Use third-party R packages, which support parallel computing in order to increase the speed and processing capabilities of R,

    • Work on large data sets in the Cloud (Microsoft Azure and Amazon EC2) through R deployed on the server,

    • Implement MapReduce framework through Hadoop straight from R console,

    • Manage Hadoop Distributed File System, HBase and Hive databases through R,

    • Connect to and extract, aggregate and manage the data in major relational SQL-based database management systems (RDBMSs) using a variety of R packages,

    • Apply NoSQL queries to access, transform and manipulate large data sets in MongoDB using R packages,

    • Improve the data flow and speed of processing of large data sets through R’s connectivity with Spark,

    • Implement selected Big Data tools in the Big Data Product Cycle with R.

What is included?

Apart from the contents of the course, Mind Project will provide you with the following:

  • printed course pack with all presentation slides, cheatsheets and other essential course information,

  • digital (USB memory stick) Course Manual including all presentation slides, R course codes and a list of reference books and online resources,

  • additional home exercises and all data sets available to download,

  • stimulating, friendly and inclusive learning environment in a small group (typically 10-14 attendees) led by experienced and energetic tutors and course leaders,

  • modern and comfortable training venue located in the heart of City of London – at the London Institute of Banking & Finance, next to the Monument underground station,

  • refreshments and a light, energising lunch on each day of the course,

  • Wi-Fi access,

  • networking opportunity,

  • Mind Project course attendance certificate.

Further instructions

  • In order to benefit from the course, we recommend that all attendees have the most recent version of R and R Studio software installed on their personal laptops (any operating system) and at least one of the following web browsers: Chrome, Safari, Mozilla Firefox and/or Internet Explorer. As R is a free and open-source 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.

  • We recommend that the attendees have practical experience in data processing or quantitative research – gathered from either professional work or university education/research. We suggest that the course is preceded with our “Applied Data Science with R” open-to-public training course.

  • Attendees are encouraged to complete the online Participant’s Skills Inventory to allow Mind Project and our course tutors to customise the contents of the course depending on the level of attendees’ 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. Please read the Terms and Conditions before making a booking.

  • The deadline for registrations on this training course is Monday, 10th of June 2019 at 16:00 London (UK) time. Mind Project reserves the right to end the registration process earlier if all places are booked before the deadline.

Discounts and multiple bookings

Apart from discounted fees for students or employees of charitable organisations, we are able to offer further discounts on the overall cost of your training if you wish to attend multiple related courses or enrol several delegates on this specific course. Please note that this offer is only available through our website.

Please note that the discounts are calculated automatically when tickets are added to the Cart. For bookings of 6 and more delegates on one course, we recommend that you contact us directly – we may be able to arrange a separate course just for you at our office or your own premises at a discounted rate.

 

Arrange this course at your premises

This open-to-public course is a shortened and more general version of our fully-customisable in-house training course “Big Data Methods with R”. If your delegates cannot attend this public course, or you are interested in arranging this training course at your premises or simply you need a bespoke, made-to-measure training solution, please visit this page and press Ask For Quote button to enquire about and request a quote for the in-house version of this course based on your specific needs and desired outcomes of the training.

You may also email us directly at info(at)mindproject.io and include the following information in your enquiry:

  • contact details to a person who should receive the quote,

  • number of delegates you would like to train,

  • approximate number of days (or half-days) you would like to arrange the course for (including additional support/project guidance if needed),

  • location of the training venue,

  • any details on course customisation or specific topics you would like the course to address – most importantly, please indicate desired outcomes of the course if different then presented above,

  • any other questions you may have.

Course location

This course will be held at the London Institute of Banking & Finance, 8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ, United Kingdom.
Please see the map below.

Big Data Methods with R – London – June 2019

Event Details

Date: June 13, 2019 - June 14, 2019

Start time: 09:30

End time: 17:00

Venue: London Institute of Banking & Finance, 8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ, United Kingdom

Phone: info@mindproject.io or (+44)(0)203 322 3786

Email: info@mindproject.co.uk

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