Data analysis in Python Basic

Location: Erasmus MC

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 Nb. This course will be given Live at Erasmus MC.
Data analysis in Python Basic
The Python Course used to be a 4 days Basic and Advanced course.
Now we turned it into a 3 days-Basic Course (Separate registration) 
Followed up by a 2 days- Course in Machine Learning using Python (Separate registration) 
Afterwards, followed up by a 1 day- ''Hackathon day'' (Separate registration) 
In this course we will cover the basics of working with the Python programming language and the Interactive Python notebooks that are normally used for scientific data analysis. You will get an introduction to the basic workflow of data science and the most frequently used libraries for data analysis and visualization.
How can this course benefit you career?
-You will learn how to apply Python tools to your needs for data analysis.
-You will learn how to get more quick insights from your data.
-You will learn how to clean and pre-process your data before analysis.
-You will learn to do some visualizations to better understand your data sets.
-You will see how to create a valid statistical model.
-You will learn how to apply python notebooks for your scientific publishing process.

Audience and participation
This course is meant for beginners who have never before done any programming for data analysis or for people who have some experience in R and want to acquire a new tools.
Everybody who is interested in using Python for data analysis can register.

Luis Rodil-Fernandez:
L. Gonzalez Leon, Erasmus MC:
D. van Zessen, Erasmus MC:

Date, Time & Location
t.b.a. Live @ Erasmus MC

Full participation is  1,5 ECTS.


Course fees 
For non-commercial participants the course fee  €500/ 3 days

PhD students get a 50% discount and pay €250/ 3 days. 
Participants from the postgraduate school MolMed get a 100% discount and pay €0.
Master students, get a 50% discount and pay €250/ 3 days. 
Master students who have to pay the fee from their personal budget get a 75% discount and pay €125/ 3 days. 
If these financial requirements should pose a problem, please contact Frank van Vliet, managing director of the Erasmus Postgraduate School Mol Med, at:

General information
Financial regulation of the Postgraduate School MolMed, from January 1st 2021, the following financial rules apply, but they may differ per course still. Look at the course fee of each course to be sure which discounts are really applied:
• Non-commercial course, symposium or workshop fee: €200/day, €750/week
• Participants of the postgraduate school MolMed: discount of 100%
• However, the Personal Leadership course and the workshops Photoshop/Illustrator/Indesign have to be paid from the ‘personal budget’ of employees, MolMed members and PhD students included. So they will receive an invoice from us which you have to pay and which will be reimbursed by your Department. When you will pay from your personal budget you need to provide us your home address details for the invoice. 
If there is no personal budget left, the MM-members get a discount of 100%.
• PhD students and Master’s students, regardless of institution: discount of 50%.
•The course fees of research master’s students will be paid by their master program at rate of €100/ECTS. For not I&I master students: please inform your master program in advance whether they agree to pay.
•Master’s students who are paying the fee from their private budget: discount of 75%. When you will pay from your personal budget you need to provide us your home address details for the invoice.
•However, 2 courses in statistics are paid centrally by the Dept. of Research policy for all PhD students from Erasmus MC! These are R and the SPSS course. So for Erasmus MC PhD students, these courses are always free, provided you are officially registered as a PhD student.
There is one fee for the entire course. There is no reduction for partial participation.
Commercial participants, companies & sponsors are invited to inquire about commercial tuition fees and about sponsoring.
All invoices will be sent by email to the mail address that you filled in upon registration. If this address is not correct we use your Erasmus MC address.

Those who register for a course, symposium or workshop agree with these financial conditions.



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