1 - What do you mean by strong quantitative skills?
You should be comfortable around numbers, quickly understanding a real life problem and translate it into something measurable & workable. Usually is the kind of skills that results from having an education or working experience in the fields of (but not only) Engineering, Physics, Mathematics, Management, Economics, etc..
2 - Will I have any kind of teaching support, if I need, during the months following the Bootcamp Days?
Definitely yes! This is one of the strongest things we want to build during the Academy experience: the community effect! We are working hard to make sure you have access to a community of colleagues, teachers and staff that will be there to help you in whatever way it's possible. Even you will be able to help others!
3 - Is there any financial support if I can't afford the student fees?
We are in the process of deciding this. Please check this page soon.
4 - What will be the size of the students group?
We are expecting a maximum of 50 students. The idea is to have a high teacher-student ratio, and to ensure everyone gets enough support.
5 - Are meals included in the fee?
Yes, lunch and snacks during the day.
6 - Will there be any kind of internship possibility at the end of the school?
We are working hard to surprise you on this topic. More news will come soon.
7 - What language will the classes be held in?
English.
8 - Will you teach python?
Yes but enrolments for the Data Science Prep Course for Batch 3 are now closed.
Want to enrol next time? Subscribe here to our newsletter to stay updated on all new dates!
9 - I don’t know any data science, will I be able to do the classes?
Yes! The classes are directed at people who are giving their first steps in the data science world.
10 - I can come to the Bootcamp days, but can’t make it to the hackathons. Should I apply anyway?
Presence in the bootcamp and Hackathon #1 is compulsory, as is the capstone.
Of hackathons 2 through 5, you are allowed to do one remote if the need is justified, and (if you really, really have to) miss one.
11 - Will laptops be provided?
No, you must bring your laptop with you
12 - When will we install the necessary software?
Setup must be done before arrival, we will provide step by step instructions, and remote support.
13 - Do you have a refund policy?
Sorry, since the payment and course start dates are so close, we're not doing refunds.
14 - How do I know if my python skills are good enough?
A good option would be doing our test. In case you want to know, the main topics we cover on this test are the following:
- if and else statements
- for loops
- handle arrays and tuples (including slicing)
- handle lists and dictionaries (including list comprehension)
- string manipulation
- data types (like int, float, string and how to convert variables between them)
- define and use functions
- lambda functions and map
- try except statements
- basics of OOP (like what's a class, how to instantiate one and use methods from the class)
© 2018 Lisbon Data Science Academy.
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info [at] lisbondatascience.org
© 2018 Lisbon Data Science Academy. All rights reserved