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Thu 16 Apr - Fri 17 Apr 2020
09:30 - 16:30

Venue: Bioinformatics Training Facility - Online LIVE Training

Provided by: Bioinformatics


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Data Science in Python (ONLINE LIVE TRAINING)
PrerequisitesUpdated

Thu 16 Apr - Fri 17 Apr 2020

Description

PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team be teaching the course live online, with tutors available to help you work through the course material on a personal copy of the course environment. We will be aiming to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

Discount offer of 50% off normal fees applies to this course.

This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code, using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing modules and classes.

Note: this course is the continuation of the Introduction to Solving Biological Problems with Python; participants are expected to have attended the introductory Python course and/or have acquired some working knowledge of Python. This course is also open to Python beginners who are already fluent in other programming languages as this will help them to quickly get started in Python.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Please be aware that these courses are only free for registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
  • Further details regarding eligibility criteria are available here
Prerequisites

Having attended the An Introduction to Solving Biological Problems with Python course and/or have a working knowledge of Python

Sessions

Number of sessions: 2

# Date Time Venue Trainers
1 Thu 16 Apr 2020   09:30 - 16:30 09:30 - 16:30 Bioinformatics Training Facility - Online LIVE Training G.E. Parada-Gonzalez,  Chandra Chilamakuri,  Tak Lee
2 Fri 17 Apr 2020   09:30 - 16:30 09:30 - 16:30 Bioinformatics Training Facility - Online LIVE Training G.E. Parada-Gonzalez,  Chandra Chilamakuri,  Tak Lee
Topics covered

Bioinformatics, Biology, Data handling

Objectives

After this course you should be able to:

  • Recall how to define variables and most common data structures in Python
  • Use conditions and loops in Python
  • Practice reading and writing files with Python
  • Explain how to write user-defined functions and modules in Python
  • Use existing in-built as well as third-party Python libraries
  • Solve more complex exercises using these concepts
Aims

During this course you will learn about:

  • Using Python libraries to explore data in files
  • Creating functions and modules to write reusable code
  • Manipulating data using Pandas
  • Visualising data with Matplotlib
  • Working with biological data using BioPython
Format

Presentations, demonstrations and practicals

Timetable

This is subject to change in line with the online training schedule.

Day 1 Topics
9:30 - 9:45 Introduction
9:45 - 11:30 Starting with data and python
11:30 - 11:45 Tea/Coffee Break
11:45 - 12:30 Using existing python modules to explore data in files (part 1)
12:30 - 13:30 Lunch (not provided)
13:30 - 14:30  Using existing python modules to explore data in files (part 2)
14:30 - 14:45 Tea/Coffee Break
14:45 - 16:30 Creating functions and modules to write reusable code
Day 2
9:30 - 9:45 Introduction
9:45 - 11:00  Manipulating data with Pandas
11:00 - 11:15  Tea/Coffee Break
11:15 - 12:30  Visualising data with Matplotlib
12:30 -13:30  Lunch (not provided)
13:30 - 14:45  Working with biological data using BioPython
14:45 - 15:00  Tea/Coffee Break 
15:00 - 16:15  Creating a data project report using Jupyter
16:15 - 16:30  Conclusion
Registration Fees
  • Free for registered University of Cambridge students
  • For an initial period, we are offering a discount of 50% on the normal fees that are paid below.
  • £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
  • £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 100/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here
Duration

2

Frequency

A number of times per year

Related courses
Theme
Basic Skills and Programming

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