DSA ADS Course - 2022
Discuss simple rules for data analysis, traps and techniques to mitigate errors. Discuss quality and veracity of data/evidence.
Discuss counterfactuals, causality and applied probability theory.
Discuss scenario planning for applied data science using near real-time data to adjust tactics to achieve specific goals.
Discuss strategy vs. tactics and methods to set appropriate goals. Introduction to strategy.
Understand difference between research data science and applied data science.