Advanced Analytics for Business Applications Masterclass
(using KNIME visual software)

15 - 16 May 2017 | Media Rotana

overview

Predictive modeling and deep analytics have been applied for years. There are three main tasks:
  Predictive modeling (example: predicting customers' churn, risk, value)
  Forecasting (example: sales)
 Customer segmentation (example: applying different marketing strategies or actions to different groups of clients)

You will learn how to perform them using a free visual software KNIME. Knowing how to build these models will allow you to apply them to different business cases. The course is an understandable and gentle introduction to advanced analytics using KNIME.

Using free software in business analytics is a trend visible since late 90's. Nowadays it is even hard to avoid to use free tools. They got a big share of the market and this contribution has been rapidly growing.

image

About the tool KNIME:
  KNIME is a free visual and user friendly deep analytics tool
  Report "2016 Magic Quadrant for Advanced Analytics Platforms" locates KNIME in a square of Visionaries / Leaders!

The course is hands-on and the participants will have their own laptops with KNIME installed. The presentations will be short. Around 70-80% of time for hands-on exercises and discussions.


LEARNING OUTCOMES

  Learn essential skills of free software KNIME.

  You will be able to build a predictive model. Even if you will start without the knowledge of this topic.

  You will be able to build a customers' segmentation.

  You'll learn basic and more advanced forecasting methods.

  Learn how to preprocess data for development advanced analytics.

  Get knowledge of adequate statistical methods.

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INSTRUCTOR PROFILE

ARTUR SUCHWAŁKO has twenty years of experience in deep business analytics projects. He worked for various companies: from start-ups to international corporations, and in various roles: as an employee, a consultant, and a business owner.

He is an experienced programmer and project manager. He spent over ten years working as a statistician in a commercial bank, where he dealt mainly with construction of predictive models and development of supporting software. At the same time he received Ph.D. in Mathematics and wrote several scientific papers.

He currently runs his company QuantUp, focusing on data analysis, statistical modeling, software development and commercial trainings. He has led at least several dozens of projects and several thousands hours of commercial trainings related to deep business intelligence. He is a co-owner, Vice CEO and CSO of a Swedish bioinformatics company MedicWave. He has a long-time experience working with open source software and promotes its use in business applications. He is a fan and keen user of the R language and a co-author of a book on forecasting in R.

image ARTUR SUCHWAŁKO
Data Scientist & Owner at QuantUp

ATTENDEE PROFILE

Job Titles

  • Analyst
  • Business analyst
  • Reporting specialist
  • Data scientist
  • Demand planner
  • Direct marketing specialist
  • Register Now

Industry

  • Logistics and Supply Chain
  • Retail & Manufacturing
  • Banking and Finance
  • Oil and Gas
  • Media, Advertising and Marketing
  • Public Sector
  • Register Now

Agenda

08:30 AM

COFFEE AND REGISTRATION


 
09:00 AM

Introduction

  Introduction to advanced analytics
  Introduction to KNIME

  • – Functionality overwiew
    – Working with flows / nodes
    – Handling workflows

  •  

10:30 AM

COFFEE BREAK


 
11:00 AM

Data reading, preprocessing, and writing

  Data reading
   Basic exploratory analysis
   Data preprocessing

– Filtering
– Grouping
– Selecting variables
– Handling missing observations
   Data writing
 

12:30 PM

LUNCH BREAK


 
01:30 PM

Forecasting - part I

   Forecasting with KNIME
  Finding and removing a trend
  Using trend
  Seasonality
  Using seasonality
 

03:00 PM

COFFEE BREAK


 
03:30 PM

Forecasting - part II

  Basics of regression
  Using regression for forecasting
  Auto prediction with regression and neural networks
 

09:00 AM

Predictive modeling - part I

  Introduction to building predictive models
  Overview of models

- logistic regression
- classification trees
- random forest

 

10:30 AM

COFFEE BREAK


 
11:00 AM

Predictive modeling - part II

  Feature selection methods

- stepwise methods
- random forest
  Predictive ability
- learning / test split and Cross Validation
- confusion matrix
- ROC and AUROC

 

12:30 PM

LUNCH BREAK


 
01:30 PM

Customer segmentation - part I

  Introduction
  Expert methods
  Measuring similarity
 

03:00 PM

COFFEE BREAK


 
03:30 PM

Customer segmentation - part II + Recap

  Clustering methods
  Selection of number of clusters
  Recap
 

Masterclass starts in:

Requirements

  • Any experience in data analysis in any tool.
  • The workshop will be interactive. Please, bring a laptop with the newest KNIME version (KNIME Analytics Platform + all free extensions) installed (free download).

Register

Offline Registration

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For further information, please contact us: info@theinfinityconferences.com or call us on +971 55 875 2588

Venue


Media Rotana | Hessa Street | Barsha Heights | Dubai | United Arab Emirates