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Introduction to data analysis in Python

Introduction to data analysis in Python

Start Date:
Sep 6, 2018
Finish date:
Sep 7, 2018
Booking deadline:
Aug 29, 2018
Last Revised:
Sep 18, 2018
Code:
2018-Sep-Python
Hits:
1619
Favoured:
0 Favoure
Price:
60.00 EUR pro Platz
Location:
EMBL, Room 202
Group:
User
Level:
Beginners
Available seats:
2 of 30
Tutor:

Description

Dates and time - Updated

September 6-7, 2018 : 09:30 - 17:00

Course Instructors:

Malvika Sharan, Toby Hodges, Marc Gouw

 Why Learn Python?

Python has grown in the last ten years to become one of the most widely-used programming languages in biology. This increasing popularity reflects how easy Python is to learn compared with other languages, and how adaptable it is to a wide variety of different tasks. Simultaneously, the rise of data-driven approaches to science means that programming skills are becoming more and more important for biologists.

About the course:

This course aims to teach basic Python programming skills to the life-scientists who wish to carry out repeated tasks to deal with biological data. The goal of the course is to enable them to use Python scripting to automate their tasks and carry out analysis of their data reproducibly.

Course content:

- The basic concepts and building blocks of programming in Python

- Automating repetitive tasks

- Handling different types of data using the concept of Data Structure

- Reading and handling data from a file

- Introduction to Python module

Content breakdown:

Day-1

Day-2

The course materials will include a set of practical problems/exercises that could be handled using Python skills.

Learning outcome:

After attending the course, you will have a good understanding of the core themes of programming, and be able to write your own Python programs, to automate repetitive analysis tasks.

Prerequisites:

We do not expect the participants to have prior knowledge of scripting. This is a course for the researchers who are interested in learning the automation of their tasks such as dealing with a large number of files to carry out identical or similar analysis using Python programming language.

Note: Participants are expected to bring their own laptop with the Anaconda Python Distribution (version 3.5) installed. More information regarding installation and other requirements will be shared by email.

Registration & Course Fee:

The registration can be done on the top right of this page.

EMBL Bio-IT will offer the course for free to all EMBL members.

The external participants will be changed with a nominal course fee of 60 Euros to cover their course-related expenses including catering cost. The invoice details will be shared via email.

Cancellation and No-Show:

The registration can be canceled for the free of charge till August 30, 2018.

The participants will be charged a cancellation fee (if canceled after August 30, 2018.) or no-show fee of 50 Euros. The invoice details will be shared via email.

Contact:

Malvika Sharan (sharan@embl.de)


Category

Basic Computer Skills , All Courses