Please follow the instructions below:

1. Read 1__6_Types_Of_Data_Scientist.ipynb to decide which job(s) suits you
2. Read 2__Introduction_To_Interviews.ipynb to understand in general what interviews are like
3. The rest of the notebooks contain interview questions categorized into Machine Learning, Statistics and Coding
4. This repo will cover most of the common basics, but you will still get asked questions outside of here

This series of notebooks include:

• 1__6_Types_Of_Data_Scientist.ipynb

  • What type of data science jobs you can get out there
  • Apply to jobs that best suit your strength
  • Have a realistic expectation of what the role entails and the requirements for it
  
  

• 2__Introduction_To_Interviews.ipynb

  • The process for data science interviews
  • What does each stage entails
  
  

• Statistics.ipynb

  • Statistics interview questions
  
  

• Linear_Logistic_Regression.ipynb

  • Machine Learning / Statistics interview questions
  
  

• Decision_Tree_Random_Forest.ipynb

  • Machine Learning interview questions
  
  

• Software_Engineering.ipynb

  • Coding interview questions
  
  

• SQL.ipynb

  • Coding interview questions