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5-daagse training Data Science voor niet-Data Scientists

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soort event: workshop
onderwerpen: accountmanagement, communicatie/pr, corporate communicatie, creatie/design, direct marketing, externe communicatie, interactieve marketing, interne communicatie, marketing intelligence / market research , media, merkenmanagement, nieuwe media, online marketing, overheidscommunicatie, professionele vaardigheden, strategie
wanneer: van 19 tot 23 maart 2018

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In deze 5-daagse training leert u als zakelijke gebruiker business data te analyseren, te interpreteren en te visualiseren met behulp van geavanceerde self-service tools
DATA SCIENCE VOOR NIET-DATA SCIENTISTS – LESPROGRAMMA


I. BIG DATA AND ANALYTICS

Data Science - introduction
- The era of abundance
- Big Data explained
- Data analysis overview

Statistics - introduction
- Examining data distributions
- Obtaining and interpreting sample statistics
- Examining data distributions graphically
- Using exploratory data analysis
- Producing correlations
- Fitting a simple linear regression model

II. PREPARING FOR ANALYSIS

Getting started with Visual Analytics
- Exploring SAS Visual Analytics concepts
- Using the SAS Visual Analytics home page
- Discussing the course environment and scenario

Using Visual Analytics Explorer
- Examining SAS Visual Analytics Explorer
- Selecting data and defining data item properties
- Creating visualizations
- Enhancing visualizations with analytics
- Interacting with visualizations and explorations

Examining Visual Data Builder
- Exploring SAS Visual Data Builder
- Creating simple queries

Creating complex queries in Visual Data Builder
- Importing data using SAS Visual Data Builder
- Creating calculated columns and filtering data
- Creating advanced queries

Advanced topics for Visual Data Builder
- Accessing user-defined formats

Using the Explorer and Designer to load data
- Using the Explorer and Designer to import data
- Using the Explorer and Designer to create calculated columns

III. ANALYTICAL DATA VISUALIZATION AND MODELING DATA

Cluster segmentation
- Understanding segmentation
- Using cluster analysis

Models with continuous targets
- Managing projects and models
- Using linear regression models
- Using generalized linear models

Models with categorical targets
- Using logistic regression
- Using decision trees

Model comparison and assessment
- Comparing models
- Scoring models

CASE STUDY
You will be able to put your knowledge into practice with real-world, scenario-based examples.

Datum

van 19 tot 23 maart 2018

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