Welcome

Citizen Data Scientist is the new Data Analyst

# T C 1 8

Mehmet Vanli

Sales Consultant

Tableau

Australia

Citizen data scientist:

A person who creates models that use

advanced diagnostic analytics or predictive and

prescriptive capabilities, but whose primary job

function is outside the field of statistics and

analytics.

“Unicorn” Data Scientists

Technology & Automation

Data driven organizations

Agenda

• Data Exploration

• Statistical Modelling

• Teaming up for Advanced Analytics

Data Exploration

Data exploration

Data source : https://bit.ly/2kAa1UM

Data exploration

outliers

Margin plots• enable comparisons• add context• visualize the same fields in

different ways

Data exploration

Margin plots• enable comparisons• add context• visualize the same fields in

different ways

Data exploration

Data exploration using calculated fields

Statistical Modelling

Forecasting

When to use :• You have a time

series• You want to infer

about future time

series values

Forecasting

Under the hood:

• Method -

Exponential

Smoothing

• Observations in the

recent past are

more predictive of

the future than

observations in the

distant past.

Forecasting

Under the hood:

• Tableau

automatically selects

the best of up to

eight models, the

best being the one

that generates the

highest quality

forecast.

95% prediction interval

Trend Line

When to use :• To infer a relationship

between two quantitative

variables

• Used to show the overall

pattern of a scatterplot

Data Source: https://usa.ipums.org/usa/index.shtml

Trend Line

Under the hood:• Method - Ordinary

Least Squares

What is the probability that this relationship is random ?

How much of the variations in divorce rate can be explained by salary ?

Line of best fit

Clustering

• Which customers should we target for the next Pinot campaign ?

• What are the characteristics of the customers based on what they bought ?

Data source: https://bit.ly/2xedqQs

Clustering

ClusteringWhen to use :• To group particular set

of objects based on

their characteristics,

aggregating them

according to their

similarities.

Under the hood:• Method – k-means

• K-means locates

centers through an

iterative procedure

that minimizes

distances between

individual points in a

cluster and the cluster

center

Clustering

Cluster 1: Pinot Lovers !

Cluster 3: Mostly sparkling drinkers

Cluster 4:Small buyers

Advanced Analytics

Teaming up for Advanced Analytics

In-Database Analytics

External servicesIntegration

Export Results Extensions for

Tableau Dashboards

External Services - R Integration

R Integration

External Services - Python Integration

Python Integration

In-database Analytics – MS SQL Server

On-Premise SQL Server

2016,17

AzureSQL Server

2016,17

Stored ProcedureOr Initial SQL

In-database Analytics – MS SQL Server

SQL Server 2016

In-database Analytics – Google BigQuery

Custom Query

Extensions for Tableau Dashboards

Extensions Gallery

Extensions for Tableau Dashboards

Extensions for Tableau Dashboards

DataRobot Insights Extension• Associations between

variables

Tableau dashboard powered by DataRobot.

• Train a predictive model and make predictions

• What if analysis – how changes in parameters effects the predicted outcome ?

Tableau empowers data analysts

to become citizen data scientists

R E L AT E D S E S S I O N S

Data science applications with TabPy/ROct 24 | 12:00pm – 1:00pm | New Orleans Theater B

Oct 23 | 2:15pm – 4:45m | MCCO – L2 – 244

Get on it, stat | Statistical analysis skills in Tableau

Oct 23 | 2:15 – 3:15 pm | MCCNO – L2- R02

Ready, set , action!

Oct 24 | 12:00 – 1:00 pm | MCCNO – L2- New Orleans Theater A

Oct 25 | 10:45am – 1:15pm | MCCO – L2 – 294

Oct 24 | 1:45pm – 4:15pm | MCCO – L2 – R08

Please complete the

session survey from the

Session Details screen

in your TC18 app

Thank you!

#TC18

ResourcesContent Tableau workbooks - https://bit.ly/2ye9Aas

How Airbnb Democratizes Data Science With Data University- https://bit.ly/2qg35BU

Loupe Tooltips - https://bit.ly/2Mx0c6e

Creating a Correlation Value Matrix - https://tabsoft.co/2Ia3xro

Analyze Data - https://tabsoft.co/2QwZdGf

Trend Line - https://tabsoft.co/2Da7gGD

Primer: What exactly is clustering, and why would you use it? - https://tabsoft.co/2CZTRka

Finding the Pearson Correlation - https://tabsoft.co/2QwmyrC

Advanced Analytics with Tableau – https://tabsoft.co/2p9TkCm

Working with External Services in Tableau: Python, R, and MATLAB - https://tabsoft.co/2xjUiQ3

Interpreting earnings call with Natural Language Processing - https://bit.ly/2Qx4zRJ

Leveraging Google BigQuery's machine learning capabilities for analysis in Tableau- https://tabsoft.co/2OnB7fK

How to use Tableau with SQL Server on R and Python - https://tabsoft.co/2yuHLIf

Machine Learning Services (R, Python) in SQL Server 2017 - https://bit.ly/2Mrul6V