Citizen Data Scientist is the new Data Analyst
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- Ruth Sparks
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1
2 Welcome
3 # T C 1 8 Citizen Data Scientist is the new Data Analyst Mehmet Vanli Sales Consultant Tableau Australia
4 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.
5 Data driven organizations Technology & Automation Unicorn Data Scientists
6 Agenda Data Exploration Statistical Modelling Teaming up for Advanced Analytics
7 Data Exploration
8 Data exploration Data source :
9 Data exploration outliers
10 Data exploration Margin plots enable comparisons add context visualize the same fields in different ways
11 Data exploration Margin plots enable comparisons add context visualize the same fields in different ways
12 Data exploration using calculated fields
13 Statistical Modelling
14 Forecasting When to use : You have a time series You want to infer about future time series values
15 Forecasting Under the hood: Method - Exponential Smoothing Observations in the recent past are more predictive of the future than observations in the distant past.
16 Forecasting Under the hood: 95% prediction interval Tableau automatically selects the best of up to eight models, the best being the one that generates the highest quality forecast.
17 Trend Line When to use : To infer a relationship between two quantitative variables Used to show the overall pattern of a scatterplot Data Source:
18 Trend Line Line of best fit 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?
19 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:
20 Clustering
21 Clustering When 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
22 Clustering Cluster 1: Pinot Lovers! Cluster 3: Mostly sparkling drinkers Cluster 4: Small buyers
23 Advanced Analytics
24 Teaming up for Advanced Analytics External services Integration In-Database Analytics Export Results Extensions for Tableau Dashboards
25 External Services - R Integration
26 R Integration
27 External Services - Python Integration
28 Python Integration
29 In-database Analytics MS SQL Server On-Premise SQL Server 2016,17 Azure SQL Server 2016,17 Stored Procedure Or Initial SQL
30 In-database Analytics MS SQL Server SQL Server 2016
31 In-database Analytics Google BigQuery Custom Query
32 Extensions for Tableau Dashboards Extensions Gallery
33 Extensions for Tableau Dashboards
34 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?
35 Tableau empowers data analysts to become citizen data scientists
36 R E L AT E D S E S S I O N S Data science applications with TabPy/R Oct 24 12:00pm 1:00pm New Orleans Theater B Get on it, stat Statistical analysis skills in Tableau Oct 23 2:15pm 4:45m MCCO L2 244 Oct 24 1:45pm 4:15pm MCCO L2 R08 Oct 25 10:45am 1:15pm MCCO L2 294 Ready, set, action! Oct 23 2:15 3:15 pm MCCNO L2- R02 Oct 24 12:00 1:00 pm MCCNO L2- New Orleans Theater A
37 Please complete the session survey from the Session Details screen in your TC18 app
38 #TC18 Thank you!
39 Resources Content Tableau workbooks - How Airbnb Democratizes Data Science With Data University- Loupe Tooltips - Creating a Correlation Value Matrix - Analyze Data - Trend Line - Primer: What exactly is clustering, and why would you use it? - Finding the Pearson Correlation - Advanced Analytics with Tableau Working with External Services in Tableau: Python, R, and MATLAB - Interpreting earnings call with Natural Language Processing - Leveraging Google BigQuery's machine learning capabilities for analysis in Tableau- How to use Tableau with SQL Server on R and Python - Machine Learning Services (R, Python) in SQL Server
40
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