Dear All, 

the course completion certificates are ready to be downloaded. They can be found at this link.

To download, please open the Basic or Advanced folder and find the file with your full name.

Best wishes

Dear all, 

thank you for participating to this year’s edition of our Data Science Training. We hope you enjoyed it, and learned a lot from it.

Those of you who have completed the assignments, should have received a communication from our email address bristoldst@gmail.com. If that is not the case, please do email us, and we will look into it.

Note: If you have passed both the basic and advanced assignments, you should have received an email saying that you will soon receive an Advanced certificate. If you have only passed the basic one, you will get the basic certificate.

If you do expect a certificate, but do not receive anything from us, please let us know. 

Please note that some accounts didn’t include an email address. If that is your case, please get in touch.

Best wishes,

Bristol DST and Transparency Solutions

Dear All,

since we are reaching the end of the course, it’s time for the last assignment. This will be about Monte Carlo simulations and Machine Learning.

You can find it in Advanced assignment, which also includes a video with further instructions.

Please read the description carefully, and make sure you pay attention to all the questions.

The assignment will be available for those who have passed (Scored more than 50) the basic one.

Please do let us know if you passed the basic assignment but still cannot see the advanced, and we will look into it.

You have until July 31st at 23:59 to submit, and 3 allowed attempts to pass it. Once you have passed it (score > 50) you will receive an advanced certificate at the end of the course – early August.

As always, you can reach out to us by sending a message on Canvas, or via email if you have any issues.

Best wishes

Chiara De Sio

Dear all,

the recording of the last applications talk is now online. You can find it here.

Best wishes

Dear all

I hope you will join our next Applications Talk, tomorrow at 8:30 pm EAT.
Our next speaker is Dr Valerio Maggio, who is a Researcher and Education Lead at Open Mined. He will talk about “PySyft: Data Science on data you are not allowed to see“:

In today’s data-driven world, privacy stands as an essential requirements for the ethical and effective practice of data science. Moreover, the implementation of robust privacy guarantees in data analysis not only protects sensitive information, but also unlocks the potential for unprecedented democratisation of models and datasets.

PySyft is a stack of open source tools that is designed to help organisations to securely collaborate with external (untrusted) individuals. By using PySyft, organisations can enable external auditors (e.g. data scientists) to use their assets, such as datasets or models, in order to conduct studies with a specific, known purpose. Data scientists can run their analysis using those assets through PySyft, and without seeing nor obtaining a copy of the assets themselves. We call this process Remote Data Science. PySyft is a framework for Remote Data Science.

In the first part of my talk I will introduce the problem of privacy in Data Science, PETs (Privacy Enhancing Technologies), and OpenMined mission to democratise access to data and information. Afterwards, I will demonstrate how PySyft works, and how it can be used to run a machine learning experiments, with privacy guarantees.

See you tomorrow!

Chiara De Sio

Dear All,

we hope you enjoyed our last teaching session on statistics and Machine Learning.

The recordings can be found here. Please take a look at the notebook in “Elements of statistics – June 26 – July 3” on Canvas, if you want to play with the code Prof. Velthuis has shown you yesterday.

Don’t forget about the deadline for the basic assignment: Wednesday July 10th at 23:59, to qualify for a Basic Certificate at the end of the course!

See you next week on Tuesday for another Applications talk, and on Wednesday for the Data Science Teaching.

Best wishes

Chiara De Sio

Dear All,

we have decided to extend the deadline for the submission of the basic assignment to Wednesday July 10th at 23:59

Please refer to this link for instructions and guidelines.

Good luck!

The team

Hello everyone,

thank you for joining the last couple of sessions.

Here are the recordings of the Application talk from last Tuesday, June 18th. by Dr Leonor Frazão Malta: Using AI to fight financial crime,

and the recordings of our last teaching session on numpy part 2, from Wednesday, June 19th.

As always, we will see you next Tuesday for another Applications Talk (use this link to connect), and on Wednesday for the teaching (use this link to connect).

Don’t forget to work on the basic assignment (deadline July 3rd at 23:59 UK time), and if you have any questions don’t hesitate to contact us here or by email at bristoldst@gmail.com. Instructions are in the assignment text and in the last teaching session’s recordings.

Best wishes

Chiara De Sio

Dear all,

thank you for joining the teaching session yesterday. I hope you enjoyed it.
The video recordings of the live session can be found here.
The material can be found in the Modules section on Canvas. There you will also find the notebooks we used, and some practice notebooks with a few exercises. I encourage you to revise the first 5lectures and use the practice notebooks to get ready for the assignments.

If you do have any additional questions, do not hesitate to contact us by sending us an email to bristoldst@gmail.com, or starting a new discussion on Canvas.

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The next session will be on Tuesday June 18th at 8:30 p.m. EAT, and it will be an Applications talk. Please use this link to connect.

The next Teaching session will be on Wednesday June 19th at 8:30 p.m. EAT (use this link to connect): pre-recorded lecture and material have been uploaded on Canvas. Please download all the files on your computer, and use the material while watching the video before next Wednesday.

We will be happy to help you with any questions or problems during our live QA session.

Best wishes,

Dr Chiara De Sio

Dear All,

yesterday we had an Applications Talk by Lili Lyons on using data science to guide financial investments.

I hope you found it interesting. The meeting recordings have been uploaded here.

See you at 8:30 p.m. tonight for our teaching session.

Best wishes,

Chiara De Sio