BFVM23PROG-dataprocessing
  • Preface
  • Essential libraries
  • Building maintainable code
  • Data processing
    • Introduction
    • Tidy data
    • Vectorised Solutions
    • Configuration files
      • YAML
    • Data loading, Storage and File Formats
      • CSV
      • XML
      • JSON
      • HTTP
      • API's
      • Database concepts
      • SQL
  • Data inspection
  • Data exploration
  • Data wrangling
    • Dealing with missing values
    • Cleaning data
    • DateTime wrangling
    • Reshape with melt
    • Combine data
  • Normalization
  • Time series
  • Streaming data
  • Data visualisation
    • Bokeh introduction
    • Plot with glyphs
    • Plotting with different data structures
    • Boxplot
    • Heatmap
    • Bokeh widgets
    • Bokeh layouts
    • Bokeh applications
    • Panel basics
  • DATA ANALYSIS
    • Statistics in Python
  • Study Cases
    • Why we love Numpy
    • Heart failure Case study
    • Adults who binge drink in hot towns
    • USDA food database (JSON)
    • Breastcancer NKI data
    • Plotting time data with panel dashboard and bokeh
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Preface

NextEssential libraries

Last updated 1 year ago

This is the ebook accompanying the course Programming 1 of the course Data Science for Life Sciences. This gitbook covers the fundamentals of data analysis (in python). Basic skills such as data processing and data visualisation are discussed. The following topics are covered

1. Introduction programming in python, work with data frames

2. Inspecting and exploring data, descriptive statistics

3. Improve data quality, data cleaning, imputing data, normalising data

3. Data visualisation, commonly used plots in data science

This is the ebook accompanying the course Programming 2 and Programming 3 (dataprocessing) of the course Data Science for Life Sciences.

source code and data used in this ebook:

https://github.com/fenna/BFVM23PROGDP