How to Start Thinking
Like a Data Scientist
Holds the most power in
current technical
landscape
Considered game changer
for every industry
Better predictions,
smarter decisions
Management
revolution
Business
advantage
Because of big data, managers can measure, and know
radically more about their businesses, and directly
translate their knowledge into improved decision
making
Big data may offer companies greater opportunities for
competitive advantage
INSIGHTS
Managers who aren’t data savvy, who can’t conduct basic
analysis, interpret more complex ones are already at
disadvantage
Companies without a large cadre of data-savvy managers
are at disadvantage
NON TECH SAVVY MANAGER
You don’t have to be data scientist or a Bayesian
statistician to tease useful insight from data
All you need is:
 Open mind
 Pen, pencil
 Calculator
DATA
EXERCISE FOR
BEING
1. Start with something that interests you and write it down as
a question
2. Think through the data and develop a plan for creating them
3. Write all the relevant definitions for collecting data
4. Collect the data. Trust the data. Modify your definitions
5. Picture the data in form of a simple graph
6. Start with the question you started with and develop
summary statistics
7. Go for a variation of analysis to answer “so what”
RELEVANCE FOR A
MANAGER
DATA LITERACY IS RELEVANT FOR MANAGERS TO
Identify the process need to effectively collect, interpret,
and use data efficiently for holistic growth of the company
To reflect upon the strengths and challenges to improve use
of data in a company
Seeking for answer for a basic or an interesting question by
continually asking and improvising the answer to “so what?”
“So what?”
UNLOCKING THE POWER OF DATA
Data at the hands of a few data experts can be powerful,
but the data at the fingertips of many is what will be truly
transformational
Data literacy is relevant for managers for
• Analyzing and interpreting a standard table or chart
• Understanding data across each discipline, e.g.- marketing
• Assimilating data – orienting to unfamiliar data if necessary
• Seeking further clarifications if any items are missing or are
ambiguous
Thank you
Submitted by-
Aditi Gupta
IIT Roorkee

How to start thinking like a data scientist

  • 1.
    How to StartThinking Like a Data Scientist
  • 2.
    Holds the mostpower in current technical landscape Considered game changer for every industry Better predictions, smarter decisions Management revolution Business advantage
  • 4.
    Because of bigdata, managers can measure, and know radically more about their businesses, and directly translate their knowledge into improved decision making Big data may offer companies greater opportunities for competitive advantage
  • 5.
  • 6.
    Managers who aren’tdata savvy, who can’t conduct basic analysis, interpret more complex ones are already at disadvantage Companies without a large cadre of data-savvy managers are at disadvantage NON TECH SAVVY MANAGER
  • 7.
    You don’t haveto be data scientist or a Bayesian statistician to tease useful insight from data All you need is:  Open mind  Pen, pencil  Calculator
  • 8.
  • 9.
    1. Start withsomething that interests you and write it down as a question 2. Think through the data and develop a plan for creating them 3. Write all the relevant definitions for collecting data 4. Collect the data. Trust the data. Modify your definitions 5. Picture the data in form of a simple graph 6. Start with the question you started with and develop summary statistics 7. Go for a variation of analysis to answer “so what”
  • 10.
  • 11.
    DATA LITERACY ISRELEVANT FOR MANAGERS TO Identify the process need to effectively collect, interpret, and use data efficiently for holistic growth of the company To reflect upon the strengths and challenges to improve use of data in a company Seeking for answer for a basic or an interesting question by continually asking and improvising the answer to “so what?”
  • 12.
  • 13.
  • 14.
    Data at thehands of a few data experts can be powerful, but the data at the fingertips of many is what will be truly transformational Data literacy is relevant for managers for • Analyzing and interpreting a standard table or chart • Understanding data across each discipline, e.g.- marketing • Assimilating data – orienting to unfamiliar data if necessary • Seeking further clarifications if any items are missing or are ambiguous
  • 15.