Data Science for Life Sciences Foundations Bootcamp 5 Days

  • Five days Data Science for Life Sciences (DSfLS) Foundations Bootcamp in an effective learning environment
  • Instructor-led training, developed and delivered by industry-experienced and research-driven Life Scientists with Data Science and Machine Learning experts
  • Covering the basics of modern Data Science proven in Life Science use cases
  • Including both theory and hands-on labs
  • Certification at completion

Day 1: Data Science Fundamentals

Topics: The role of data science within a business & challenges – Skills needed to be a successful data scientist – Data visualization tools – How to use and share Jupyter Notebooks including its features – How to identify a problem, collect and analyze data, build a model, and understand the feedback

Goals:

  • Introduction to data science
  • Methodology to handle data science questions​​

Day 2: Data Science Workflow for Life Sciences

Topics: Methods, models and practices that can be applied within Data Science – Data strategy – Operation on Data – Data cleaning – Data analysis and models with Machine Learning – Data visualisation and operationalisation

Goals:​

  • Specify meaningful pipelines
  • Get hands-on experience in DS

Day 3: Tools for Data Science

Topics: Scikit-learn – Apache Spark -TensorFlow, Colab, BigML – Excel – D3.js for data visualization

Goals:

  • Get hands-on experience in DS 

Day 4: Data Engineering

Topics: Types of data (numerical, categorical, ordinal) – High dimensional vs low dimensional data – SQL essentials & Data labelling (metrics, segments, aggregates, features, training data) – Map/reduce on Hadoop – Data modeling with Apache Cassandra  & Databricks

Goals:

  • Data management for Data Science

Day 5: Building a valuable model in Life Science

Topics: Clustering, classification, regression – Learn/optimize (experimentation, simple Machine Learning algorithms) – Machine Learning use case in Life Science (feature selection, classification, regression, visualization)

Goals:

  • Build and test an end-to-end ML model

Registration Details

Skills Pre-requisites:

  • Basic knowledge in Life Science related fields (Molecular Biology, Biochemistry and Biology), Statistics, Clinical Analysis and Assays, Pharmaceutical Science or Medical Research.

Further details:

  • Full-time availability: Course runs 9 am – 6 pm
  • Given the circumstances and local regulations, some of our upcoming bootcamps will take place remotely
  • By submitting your registration, you confirm your registration and participation in the selected course. You will then receive an invoice from our team
  • Contact us if you have questions before registering

Next Courses & Registration

Data Science for Life Sciences - Foundations Bootcamp

Dates: 14, 15, 21, 22, 28 June 2021 (5 days)
Location: Virtual (Zoom)
Time: 9am - 6pm (CET)
Language: English
Fee: CHF 5'000 (excl VAT) - CHF 4'500 (excl VAT)

Additional 10% apply for team registration
Flexible Registration available - Pick 1 up to 5 modules (CHF 900 per module)

Ready to unlock your Life Scientist potential with Data Science?

Get in touch with us for questions!

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