data science, what even?!
DESCRIPTION
Presented an abridged version of my "What is data science" talk at #websummit 2013. This talk goes over the required skillset as defined by Drew Conway and his famous venn diagram, and also outlines the Data Scientific Method brought by Dr. Patil. The talk is mainly two parts and the second part goes over some of the packages and technologies we use — minus the storage part.TRANSCRIPT
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Data Science?!what even...
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David Coallier@davidcoallier
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Data ScientistEngine Yard
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And I cook..A lot.
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(n-1) items
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Adapting.
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Feedback.
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Indifference.
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Young mathematically inclined minds
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Young mathematically inclined minds
We knew everything.
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First Bad Assumption.
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So we asked “experts”.
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Wrong Ingredients
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Bad Data
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Tasted like sh*t
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From Our ResultsWe had questions.
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Found ExpertiseNot Online.
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Data Scientific Method
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Find a QuestionYour Hypothesis
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Current DataWhat do you have?
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Features & TestsTry it.
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Analyse ResultsWon’t be pretty.
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ConversationFramed. By. Data.
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But....
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Good DiscussionsImply good data scientists
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Hacking Skills
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Hacking Skills
Maths & Stats
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Hacking Skills
Maths & Stats
Expertise
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Hacking Skills
Maths & Stats
Expertise
MachineLearning
Research
DangerZone!!!
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Hacking Skills
Maths & Stats
Expertise
DataScience
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Hacking Skills
Maths & StatsExpertise
MachineLearning
Research
DangerZone!!!
DataScience
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BusinessDon’t need an MBA
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In other words.
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1. Hacking2. Maths & Stats3. Expertise
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Apply MethodData Scientific
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1. Question2. Current Data3. Features/Tests4. Analyse5. Converse
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Find a QuestionLet’s imagine Github
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Upgrade ReposAffect users as little as possible
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import csvcontent = csv.read('repo1.csv')
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f (k;λ) = λ ke−k
k!for k >= 0
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ConversePresent Findings
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IterateCommits aren’t key.
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KPIs are keyIndicators from experience
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QuestionsSuper Important.
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Just test it..
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We are Human.Emotional Connection
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What next?Second Hypothesis.
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Focus on DataRelevant to your KPIs.
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Data gives you the what
Humans give you the why
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Turn Information
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Into
Actionable Insight
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Create DiscussionsIntrospection Engines
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Seeing, Feeling itThe brain sees.
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Not regressions
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Not p-values
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Not slopes
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Not F-statistics
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Not coefficients
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Question DataNot Visualisations.
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ToolboxWhat do we use?
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RModeling, Testing, Prototyping
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RStudioThe IDE
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lubridateand zoo
Dealing with Dates...
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yy/mm/dd mm/dd/yyYYYY-mm-dd HH:MM:ss TZyy-mm-dd 1363784094.513425yy/mm different timezone
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reshape2Reshape your Data
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ggplot2Visualise your Data
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RCurl, RJSONIOFind more Data
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HMiscMiscellaneous useful functions
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forecastCan you guess?
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garchGeneralized Autoregressive Conditional Heteroskedasticity
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quantmodStatistical Financial Trading
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getSymbols('AAPL')barChart(AAPL)addMACD()
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xtsExtensible Time Series
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igraphStudy Networks
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maptoolsRead & View Maps
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map('state', region = c(row.names(USArrests)), col=cm.colors(16, 1)[floor(USArrests$Rape/max(USArrests$Rape)*28)], fill=T)
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PythonScientific Computing
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scipy.stats
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scipy.statsDescriptive Statistics
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from scipy.stats import describe
s = [1,2,1,3,4,5]
print describe(s)
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scipy.statsProbability Distributions
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ExamplePoisson Distribution
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f (k;λ) = λ ke−k
k!for k >= 0
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import scipy.stats.poissonp = poisson.pmf([1,2,3,4,1,2,3], 2)
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print p.mean()print p.sum()...
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NumPyLinear Algebra
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1 00 1
⎛⎝⎜
⎞⎠⎟
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import numpy as npx = np.array([ [1, 0], [0, 1] ])vec, val = np.linalg.eig(x)np.linalg.eigvals(x)
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>>> np.linalg.eig(x) ( array([ 1., 1.]), array([ [ 1., 0.], [ 0., 1.] ]) )
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MatplotlibPython Plotting
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statsmodelsAdvanced Statistics Modeling
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NLTKNatural Language Tool Kit
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scikit-learnMachine Learning
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from sklearn import treeX = [[0, 0], [1, 1]]Y = [0, 1]clf = tree.DecisionTreeClassifier()clf = clf.fit(X, Y)
clf.predict([[2., 2.]])>>> array([1])
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PyBrain... Machine Learning
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PyMCBayesian Inference
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PatternWeb Mining for Python
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NetworkXStudy Networks
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MILK: Machine Learning
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Pandaseasy-to-use data structures
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from pandas import *x = DataFrame([ {"age": 26}, {"age": 19}, {"age": 21}, {"age": 18}])
print x[x['age'] > 20].count()print x[x['age'] > 20].mean()
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Python vs R?Different Purposes
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DogfoodingData Scientific Method
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Original QuestionWhat is Data Science?
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Back to youFor questioning