R Users!! Are you ready for an awesome news?!
Microsoft, in collaboration with Quantide, is offering a one-day live course in Milano.
And, listen up …. the course is free and open to everybody!
If you want to deepen your data analysis knowledge using the most modern R tools, or you want to grasp if R is the right solution for you, this is the right class!
The topics range from the first R session to data manipulation, visualization and discovery, from data import and export to data modelling and mining: a wide overview of R as a data science tool.
In particular, we will cover:
- A bit of R history and online resources
- R and R-Studio installation and configuration
- Your first R session
- Data import from external sources
- Data manipulation and data discovery with R
- Data visualization with R
- Statistical models and Data Mining with R
The course will take place on Tuesday 13 December at Microsoft Innovation Campus in Via Lombardia, 2/a, Peschiera Borromeo in province of Milano and will last for an entire working day, from 9:00 in the morning to 18:00 in the evening. Don’t worry about lunch, it is included. You have only to bring your laptop with the latest version of R and R-Studio.
We apologize to non Italian-speakers but the course will be taught in Italian by Andrea Spanò, who is a Rstudio certificated instructor who has worked as an R trainer and consultant for over 20 years.
Be beware: the course is open to a maximum of 30 participants, so if you wish to participate you have to reserve a seat here:
For more information, please contact us at training[at]quantide[dot]com
The 7th MilanoR Meeting went great, you were 45 and we were glad of the influx and the interest you've shown for the two talks.
The MilanoR Facebook page was there with us to support the event with the live streaming and it's growing fast:check it out to be always updated on event, new articles and future meetings about R.
We have collected all slides and materials of the meeting for you and now they're available online, you can find them down below.
by Mariachiara Fortuna, Quantide
Talk 1: R and Big Data
Interactive big data analysis with R: SparkR and MongoDB: a friendly walkthrough
by Thimoty Barbieri, Marco Biglieri
Video presentation: Interactive Data Analysis with SparkR
Talk 2: R and Statistical Learning
Power consumption prediction based on statistical learning techniques
by Davide Pandini
This is an update on the 7h MilanoR meeting and MilanoR new Facebook page.
You would like to attend the meeting but could not get a ticket? Follow the live event online!
A few days after the announcement of the meeting, all of the tickets were already booked, leaving many interested people without the opportunity to attend. There have been a lot of requests for more tickets but sadly the space is limited therefore they are very likely to remain unfulfilled. This is, of course, a bad news for those who would like to attend the event but could not get a ticket, on the other hand though it is a positive feedback on the growing interest around R and its community.
In order to compensate for the lack of additional tickets, the MilanoR staff has decided to live stream the event online so that everyone can attend the two main talks.
Where and when you can watch the event
The live event will be streamed on the new MilanoR Facebook page at around 6.30 PM on Thursday 27th October. Just go on MilanoR’s Facebook page and check out the live event.
If you would like to know more about the event and the talks, you can check out the official schedule here.
Do not hesitate to leave a comment, ask questions and share your observations.
Sidenote on the new Facebook page
As just mentioned above, MilanoR has just created its very own Facebook page as a new way to promote the R community further. On the page you will find R related news, articles, useful resources, such as the new free R introductory course and other news from the community. Check it out and feel free to contribute with your comments and suggestions.
MilanoR Staff is happy to announce the next MilanoR Meeting.
Thursday, October 27, 2016
from 6,30 to 10 pm
Talk 1: R and Big Data
Interactive big data analysis with R: SparkR and MongoDB: a friendly walkthrough by Thimoty Barbieri, Marco Biglieri
Talk 2: R and Statistical Learning
Power consumption prediction based on statistical learning techniques by Davide Pandini
OpenMilano - Sala Slide40
Viale Monte Nero 6, Milano
MilanoR Meeting is a free event, open to all R users and enthusiasts or those who wish to learn more about R. Places are limited so, if you would like to attend to the MilanoR meeting, please register here.
I want to know more about the talks..
R and big data: Spark and MongoDB are a fantastic opportunity to enhance R with big-processing and big-data features. We present a walkthrough to setup a working environment which will put Spark's parallel processing and Mongo's huge data handling capabilities at your fingertips in R. We will discuss the main features of SparkR with MongoDB and provide a toy example.
R and statistical learning: In the semiconductor industry, early power estimation is a critical requirement for Systems-on-Chip architects and marketing, which must provide competitive, yet realistic, power consumption quotations to customers in order to achieve design wins. In this talk, we will present an innovative approach for early power consumption estimation based on statistical learning techniques. The proposed statistical model has been developed in R and validated on two taped-out products for networking in leading-edge CMOS technology.
..and the speakers..
Thimoty Barbieri is contract professor of Software Engineering at the University of Pavia. He is a Certified Mongo DB Developer and Administrator. Among his research interests are big data applications in the financial domain. He is an enthusiast R user.
Marco Biglieri is a Software Engineering undergraduate at University of Pavia. He is currently working at his Master thesis on Big Data processing architectures for interactive analysis of financial data based on the FIX
protocol, using R, SparkR and Mongo DB.
Davide Pandini holds a Laurea Degree in Electronics Engineering from the University of Bologna, a Ph.D. in Electrical Engineering and Telecommunications from the University of Padova, and a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, U.S. He is a design manager and a senior member of the Technical Staff at STMicroelectronics, in Agrate Brianza, responsible for power optimization and integrity in the ASIC Division. Since June 2015 he is the Chairman of the ST Italy Technical Staff.
...and the sponsor..
Quantide is a provider of consulting services and training courses about Data Science and Big Data. It’s specialized in R, the open source software for statistical computing. Headquartered in Legnano, near Milan (Italy), Quantide has been supporting for 9 years customers from several industries around the world. Quantide is the founder and the supporter of the Milano R meeting, since its first edition in 2012.
For any further informations you can contact us at email@example.com
Efficient Data Manipulation with R is our second course of the Fall Term. It will take place on October 17-18 in Legnano (Milan).
This class will be a good fit for you if you have a working knowledge of R, and you usually handle with data and databases.
You will learn to organize your data manipulation tasks in a standard and clear way, write clean and efficient code, and build reproducible data management processes, using the most modern R tools: tidyr, dplyr and lubridate packages.
- Tidying data with tidyr
- The fundamental verbs of data manipulation: select, filter, arrange, mutate and summarize
- Group-wise calculations
- Date handling with lubridate
- Joining tables
- Chain operators
- Do as generic data manipulation tool
- Programming with dplyr and tidyr: NSE vs SE
- Working with backend databases
The course is open to max 6 attendees: FAQ, detailed program and tickets here.
Data Manipulation is organized by the R training and consulting company Quantide and it is taught in Italian.
All the course materials are in English.
If you want to know more about Quantide, check out Quantide's website.
Legnano is about 30 min by train from Milano. Trains from Milano to Legnano are scheduled every 30 minutes, and Quantide premises are 3 walking minutes from Legnano train station.
Other R courses | Autumn term
For further information contact us at training[at]quantide[dot]com