“Assumptions are enemy of Data Scientist”

With this note begins my first day in Summer Training  at DecisionsStats.org

There is a brief introduction of the topics that we will be covering for the next first day.

Logical Fallacy

Logical Fallacy are the chunks that Data Scientist need to over come and be aware and beware of.

Cognitive biases are tendencies to think in certain ways that can lead to systematic deviations from a standard of rationality or good judgment, and are often studied inpsychology and behavioral economics.

(https://welcomedata.wordpress.com/2015/01/25/cognitive-biases-logical-fallacies-impact-on-public-policy/)

Hacker Attitude

Hacker Attitude is toward building things.What the people normally talk about are “Crackers” , actually they break the things.

More on Hacker Attitude:

http://www.catb.org/esr/faqs/hacker-howto.html

Cheat Sheet for Data Scientist

Cheat sheets are basically Cards  for the reference .Here all the thing are compiled at one place.

Here are some Cheat sheet you can refer to.

https://github.com/Farheen2302/Cheat_Sheet

LTV (Life Time Value)

LTV one Way to analyze acquisition strategy and calculate marketing strategy.Its basically implied to get more cusomers that can long last and benefit you the most. It adhere to maintaining already existing customers than finding new customers.

Go for more:

https://blog.kissmetrics.com/how-to-calculate-lifetime-value/

RFM(Recency Frequency And Monetary)

  1. RFM analysis is a method used to determine  which customers are the best ones by examining how recently a customer has purchased, how often they purchase , and how much the customer spends.

https://en.wikipedia.org/wiki/RFM_(customer_value)

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