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Dr. Bill Howe - Director of Research,
Scalable Data Analytics


What is data science?
◦ Set of theories and principles to perform several
data related tasks, like
◦ Data collection
◦ Data cleaning
◦ Data integration
◦ Data modeling

◦ Data visualization


Data science is different from
◦ Business intelligence
◦ Statistics
◦ Database management
◦ Visualization
◦ Machine Learning


DBA- Unstructured data



Statistician – data that doesn’t fit in to memories





Software engineer- statistical models and how to
communicate results
Business analyst- algorithms and tradeoff at scale


Common three skills of Data scientiest
◦ Statistics
 traditional analysis
◦ Data Munging
 parsing, scraping, and formatting data
◦ Visualization
 graphs, tools, etc.


Three types of tasks:

◦ Preparing to run a model
◦ Running the model

◦ Communicating the results
◦ Preparing to run a model
 Gathering
 Cleaning
 Integrating
 Restructuring
 Transforming
 Loading
 Filtering
◦ Running the model
 Choosing appropriate machine learning
algorithms for regression, classification,
clustering and recommendations.
 Validation of model
 Improvement of model

◦ Communicating the results








Breadth
◦ Mapreduce/Relational algebra/Logistic
regression/visualization
Depth
◦ Structure (Relational algebra)/ statics (linear
algebra)
Scale
◦ Desktop (R)/Cloud (Hadoop)
Target
◦ Hackers(R,Java, python) /Analyts (little/no
programming)



Scale – Cloud for Bigdata
The bigdata can be measured by 3 V’s
◦ Volume – number of rows (size)
◦ Variety – number of columns OR sources (text,
images, audio, video)
◦ Velocity - number of rows OR bytes per unit time
(processing time )


“data exhaust” from customers



new and pervasive sensors



the ability to “keep everything”


Prior programming exercise
◦ SQL
◦ Python



Basic statistics



Basic database concepts


Twitter sentiment Analysis

◦ Extract the tweets from twitter API
◦ Calculate the sentiment score for tweets
◦ Calculate the sentiment score for terms in tweets
◦ Calculate frequency for terms of tweets
◦ Identify the happiest state
◦ Identify the top ten hastag
Introduction to data science

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Introduction to data science

  • 1. Dr. Bill Howe - Director of Research, Scalable Data Analytics
  • 2.  What is data science? ◦ Set of theories and principles to perform several data related tasks, like ◦ Data collection ◦ Data cleaning ◦ Data integration ◦ Data modeling ◦ Data visualization
  • 3.  Data science is different from ◦ Business intelligence ◦ Statistics ◦ Database management ◦ Visualization ◦ Machine Learning
  • 4.  DBA- Unstructured data  Statistician – data that doesn’t fit in to memories   Software engineer- statistical models and how to communicate results Business analyst- algorithms and tradeoff at scale
  • 5.  Common three skills of Data scientiest ◦ Statistics  traditional analysis ◦ Data Munging  parsing, scraping, and formatting data ◦ Visualization  graphs, tools, etc.
  • 6.  Three types of tasks: ◦ Preparing to run a model ◦ Running the model ◦ Communicating the results
  • 7. ◦ Preparing to run a model  Gathering  Cleaning  Integrating  Restructuring  Transforming  Loading  Filtering
  • 8. ◦ Running the model  Choosing appropriate machine learning algorithms for regression, classification, clustering and recommendations.  Validation of model  Improvement of model ◦ Communicating the results
  • 9.     Breadth ◦ Mapreduce/Relational algebra/Logistic regression/visualization Depth ◦ Structure (Relational algebra)/ statics (linear algebra) Scale ◦ Desktop (R)/Cloud (Hadoop) Target ◦ Hackers(R,Java, python) /Analyts (little/no programming)
  • 10.   Scale – Cloud for Bigdata The bigdata can be measured by 3 V’s ◦ Volume – number of rows (size) ◦ Variety – number of columns OR sources (text, images, audio, video) ◦ Velocity - number of rows OR bytes per unit time (processing time )
  • 11.  “data exhaust” from customers  new and pervasive sensors  the ability to “keep everything”
  • 12.  Prior programming exercise ◦ SQL ◦ Python  Basic statistics  Basic database concepts
  • 13.  Twitter sentiment Analysis ◦ Extract the tweets from twitter API ◦ Calculate the sentiment score for tweets ◦ Calculate the sentiment score for terms in tweets ◦ Calculate frequency for terms of tweets ◦ Identify the happiest state ◦ Identify the top ten hastag