Data Science for Life Sciences Foundations Course 5 Days

  • Five days Data Science for Life Sciences (DSfLS) Foundations course in an effective learning environment
  • 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 Visualization and Operationalization

Goals:​

  • Specify meaningful pipeline
  • 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 data Vs low dimensional data – SQL essentials & Labeling (Analytics, metrics, segments, aggregates, features, training data) – Map/reduce on Hadoop – Data modeling with Apache Cassandra  & Databricks

Goals:

  • Data management for DS

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 – 5 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

Ready to unlock your Life Scientist potential with Data Science?

Public bootcamp course dates and options will be published soon. In the meantime, please use the contact form below to reach out us for more information and training options.

Get in touch with us for questions!

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