27. Feb. 2018
This event requires no prior knowledge. If you are interested in data science, come along; if you like acturial knowledge, join in; if you just want to find someone to chat and nibble food, certainly welcome!
While every science is becoming Data Science, as well as we cannot live smoothly without acturies covering our back day-to-day. For this night, we will delve into the best of both world, seeing how Data Science and Acturial Science complement each other to brighten our digital future.
Leading talks from two highly experienced professionals from machine learning and insurance, as well as learning how SAS plays its role in advancing data work. Register here to reserve your place in the New SAS London Office.
When: 18:30 - 20:30, 27th Feb 2018
Where: New SAS London Office, 7th Floor, 199 Bishops Gate, EC2M 3TY
(Direction details: https://www.sas.com/content/dam/SAS/en_gb/doc/other1/maps/bishopsgate-map.pdf )
DATA SCIENCE IN BIO-MED
Thursday 08. Feb. 2018
The starters composite stories of two young graduates’ journeys into bio-chemistry, bio-medicine from their initial love of Mathematics and data. We will encounter unfamiliar terms such as nanopores; and uncover some behind-the-scene works of our regular GP/hospital health records.
Later, Esau Moreno will touch on his experience working with Clinical Trials data under a research clinical environment. As well as how big data is a way to expedite clinical research and maximise benefit for patients.
NETWORKS OF DATA
Thursday 25. Jan. 2018
Networks has indeed entangled with our every daily life aspects in modern world. However, not many people know how ‘formal data networks’ works in Data Science. During this event, we will explore together will chief scientist of Neo4j his journey with networks; and also how mathematicians (Dr. Bianconi and Dr. Nicosia) define their more complicated multi-layer networks in cross-disciplinary subjects.
DATA SCIENCE IN CRYPTO & CYBER WORLD
Thursday 18. Jan. 2018
Through this talk, we shall understand what cyber security is and the challenges it faces every day. More importantly, the role of data science in shaping a better protected cyber world.
On the other hand, we will see that our degree level cryptography knowledge in the case of Snowden. As well as to discover how the theoretical aspects of data encryption using Shannon’s Theorem and Schor’s algorithm. All of which may be applied in cryptography into quantum computing in the future.
Additionally, we will talk about the 2017 Analytics Internship Case Study using R. Here, we will learn how to reveal the full potential of a piece of messy and encrypted data; with visualisation and business solution enhancements.
FUN WITH KAGGLE
Thursday 14. Dec. 2017
Come to us on our second talk where you will discover playground for data scientists, A huge database for publicly available training data sets where newbies can learn data science techniques and more advanced can attend very challenging competitions where experienced data scientists can win “pocket money”. Did you ever hear about Netflix challenge where the lucky winner got 1 mln dollars? You can learn and discover Kaggle with us, please expect:
Introduction to Kaggle dataset and Kaggle competitions
First steps in data analysis using Naïve Bayes classifier
Do you want to earn money? It’s time to Kaggle
Influencing price negotiation techniques
Creative feature engineering
Feel lost in a random forest.
HERE WE "R"
Wednesdays 22. Nov. 2017
Programming in R workshop: (15/11, 22/11, 28/11, 06/12 2h every week)
Places limited - first come first served only 20 places. Currently fully booked, if interested, please ask for waiting list.
Please register on Eventbrite website and pay your membership fee before coming to the workshop.
Link for membership: https://www.qmsu.org/groups/16550/
(£5 pp)
INTRO TO BIG DATA SCIENCE
Tuesday 14. Nov. 2017
Please come along to the first seminar organised by the first ever Data Science society on QMUL.
For people interested in computer science, mathematics and statistics that would like to see what careers their knowledge can be applied to.
Topics that we will cover during the seminar:
* Where to start
* Big Data technologies
* History of data science
* 5 stages of Data Mining
* Bayesian Reasoning
* Probabilistic thinking.