Part I: Basic Python & Data Handling

Name: Part I: Basic Python &amp; Data Handling
SKU: 799
Price: 600.00 GBP
Availability: InStock

Start Date: June 3, 2024

For programming novices who wish to learn foundational Python programming, without progressing to Machine Learning, this module can be taken, independently.

Price: £600

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Basic Python:

A comprehensive introduction to programming in Python. Key study areas include:

- Algorithmic thinking
- Variables, types and operations
- Conditional statements
- Arrays, tuples, lists and indexing
- Iterations: for and while loops
- Dictionaries: associative arrays
- Functions: uses, applications and defining your own customised Python functions

Data Handling:

An introduction to importing, handling and analysing a variety of different data types, in Python. Key study areas include:

- - Import and characterisation of data as Pandas dataframes
  - Basic statistics
  - Data visualisation with Matplotlib
  - Bivariate and multivariate analyses
  - The Pearson correlation coefficient and correlation matrix
  - Image handling: import and characterisation of image data (greyscale and colour)
  - Image masking and segmentation
  - Time series: visualisation, filtering and Fourier transform
  - Relationships between time series data

Note: This module (or its equivalent) is a compulsory prerequisite to taking the Machine Learning component of L2D.

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Programme Type: Online Certification

Prerequisites: None

Location: Online

Start Date: June 3, 2024

Duration: 6 Weeks

Commitment: 43 hours

Dr. Adam Lee

Department of Cell & Developmental Biology UCL

Dr. Saba Ferdous

Department of Cell & Developmental Biology UCL

Prof. Gerold Baier

Department of Cell & Developmental Biology UCL

“Thanks so much to the whole L2D team! I really enjoyed this course, I found it so useful and applied to the biology we do at GSK.”

Aisling Roche

Senior Scientist at GSK

“I enjoyed all aspects of the L2D course, which gave a great insight in to python coding, data analysis and machine learning. I’ve learned a great deal and the course has been highly enjoyable.”

Chris Sayer

Scientist at Abzena, Cambridge

“L2D was very useful for me, in terms of the acquired data handling and machine learning skills, enabling us to compare and contrast different datasets.”

James Sweet-Jones

PhD Student at University College London

“I really enjoyed every lesson,... When we started looking at multivariate analyses, we started looking at EEG data and brain scans; that, to me - as a neuroscientist - was very useful.”

Prof. Chris Petkov

Professor of Comparative Neuropsychology at Newcastle University

“I really enjoyed the Training in Data Science & Machine Learning for Health, Disease & Bioscience course, which has been a comprehensive introduction to machine learning (ML) using python programming.”

Molly Went

Analytical Scientist at The Institute of Cancer Research

“Proud to have passed with 'Flawless' and 'Excellent' feedback, this journey has been a blend of challenge and discovery. The project work was a practical and enriching experience.”

Jo Renaut

PhD Student at the University of Sussex

When does the next course start?

L2D run two courses per year. The accelerated Summer course commences in June of each year, and the paced Fall course commences in October.

Are there any prerequisites to taking L2D?

To comfortably enrol in the L2D course, it is recommended that you have a very basic level of proficiency in using a personal computer: and a basic proficiency in using the operating system of your choosing (either Windows, Linux or Mac OS). You will also need a suitable computer of your own and access to a broadband internet connection.

How much does it cost to take the entire L2D course?

If you choose to take the entire L2D course, comprising the Basic Python, Data Handling and Machine Learning modules, the combination price of the course is reduced to £1000, per individual.

Will learning materials remain available once the course has been completed?

Yes. Our online resources are available to each individual learner on a personalised, one-user-only login to our online learning portal. These will be available for a limited time, following completion of the course.