Crash Course Data Science

Asynchronous: 

• Introduction:
  • history of data science 
  • purpose of data science (what questions can we answer with data science?) 
  • tools of a data scientist 
  • global overview of the phases in a data science project 

   

• Understand the question: what is the business question? 
• "Data gathering": where can we find data? 
• Data storage: where and how can we store data? 
  • hierarchical and network databases 
  • relational databases and SQL 
  • no SQL databases 
• "Data pre-processing": preparing data for analysis

Synchronous: 

• Getting started: stockpiling data in different types of databases 
• Getting started: case

Asynchronous:

• "Explore the data": on an exploration into the data 
  • BI, data warehouses 
• "Visualize the results": how can we best visualize our results?

Synchronous: 

• "Analyze in depth": what patterns do we find in the data (data mining) 
• Getting started: case

Asynchronous:

• "Tell the story": How can we present our results convincingly?