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Brief Introduction to Statistical Analysis and Data Management

Fundamentals, terms, vocabulary.​

  • median, incursion etc.
  • data management

Data Science in R, Python, SQL​

  • practical examples
  • use cases

SQL​

  • Structured Query Language (SQL) and dataset design skills

Phases​

  • Choose relevant data sources
  • Collect data
  • Structure data
  • Clean data (processing, cleansing, and verifying the integrity of data)
  • Analyse (find trend, patterns, create insights)
  • Develop custom data models and algorithms to apply to data sets
  • Visualize
  • Present and create reports
note

Goals.

info

Goals.

caution

Goals.

danger

Goals.

Use tabs in admonitions
This is an apple 🍎
npm run build
docs/hello.md
# Hello

This is my **first Docusaurus document**!
# Hello

This is my **first Docusaurus document**!
CLICK ME

yes, even hidden code blocks!​

chaptertest

print("hello world!")

Em Dash (—) En Dash (–)

Ctrl+Alt+0

Soubor ‣ Nový ‣ Obecné. (File ‣ New ‣ General)