We welcomed this week the first cohort of participants of this new online course. For the next ten weeks, they will dive deep into data science.
With a lot of teaching activities moving online, this is the best time for our new intensive course on data science to kick off.
Young graduates, willing to learn more about this emerging field, as well as more experienced professionals with a desire to improve or redirect their career, are part of the first cohort of our Imperial Data Science Intensive course, co-organized with the Centre for Continuing Professional Development at Imperial and run in collaboration with the experienced bootcamp company Le Wagon, expert in on line training in all things computer science.
The participants started on Monday 12th April. Over 10 weeks, during packed days of lessons and group activities, they will learn the essential tools of data science and coding.
Equipped with this knowledge and experience, they will then have a chance to work on a final data analytics project on datasets supplied by our partner companies, ART health and digital-i.
Further information about the course, as well as dates for the upcoming sessions can be found on our website.
The excitement is real, both among the organizers and the participants.
“I was looking for a data science course for an entrepreneurial project I have in mind, but I was keen to get an official qualification as well – explains Cintia. This short and intensive course seemed to combine the best of both!”
“I am really impressed by the engagement of other participants – says Pradnya, a participant based in Manchester.
“We are really excited to have started what promises to be an excellent course. The participants’ engagement is great, they are an amazing, talented group and we look forward to seeing them put in practice their newly learned skills on real datasets in a few weeks – says Dr Susan Mulcahy, director of the Data Spark programme at Imperial.
In the video below, Imperial’s researchers and experts in this field, Drs Rossella Arcucci, Sam Cooper and Anna Cupani, explain what they find so exciting about data science and its opportunities:
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Faculty of Engineering
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