Download Data-driven Innovation - Enterprises University of Pretoria

Data-driven Innovation
Presented by the Department of Informatics, University of Pretoria
07–09 November 2016
Following the basic steps of the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology,
the Data-driven Innovation short course will introduce you to the basic models, tools and methods, while
also being exposed to different business scenarios that could benefit from data analytics.
You will gain a better understanding of the important aspects of data that should be considered for datadriven analytics solutions and data preparation activities that are required by analytics models. Other
topics include a standard set of analytics models with their advantages, considerations when interpreting
the results of analytic models, as well as how to deploy and refine analytics solutions into a business to
support innovation.
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Shifting knowledge to insight
enterprises.up.ac.za
Data-driven Innovation
Presented by the Department of Informatics, University of Pretoria
Course content
opportunities and/or solutions.
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Course fees
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Introduction to disruptive technologies impacting on
businesses and organisations
Need for innovative data-driven solutions
CRISP-DM methodology
Steps, tasks, activities and outputs generated during a data
analytics project
Business understanding for analytics
Overview of popular tools for data mining and analytics
Assessing situations and determining data mining goals
Data understanding for analytics
Establishing the quality of data sources
Data preparation and constructing a final data set
Transformation and cleaning of data for modelling tools
Modelling techniques and parameters
Evaluation of models and results
Meeting business requirements
Deployment of data mining results
Organising and presenting knowledge in a useful way
Implementing a repeatable data mining process across the
organisation
Using data analytics to support innovation
Ethical and security aspects of data mining and analytics
Legal requirements and responsibilities
Learning outcomes
After successfully completing the course, you will be able to
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use data for innovation and innovative solutions to business
problems
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understand the CRISP-DM phases and the activities within
each phase
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illustrate a knowledge of data understanding and
preparation for data analytics
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execute several analytics models and understand their input
and output requirements
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understand the advantages and disadvantages of analytics
models
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prepare data for models
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evaluate and deploy data analytics results to solve business
problems
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create new business opportunities
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understand the ethical, legal and security aspects of data
analytics, and
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demonstrate a knowledge of existing popular data mining
tools and packages.
Who should enrol?
R6 500.00 per delegate (VAT incl.)
Course fees include all course material, refreshments and lunch
during contact days.
Course fees must be paid in full 14 days prior to course start dates.
Proof of payment can be submitted to:
[email protected].
Admission requirements
Prospective delegates should at least have a National Senior
Certificate (Grade 12) with mathematics, a basic knowledge of
databases and/or relevant work experience. Please note that
delegates will need their own laptops to bring to contact sessions.
Recommended PC requirements:
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Quad core
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3 GHz (or faster) processor
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16 GB RAM
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100 GB or more free disk space
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64-bit operating system (preferably)
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Windows 7, 8, 8.1 or 10; Linux; Mac OS X 10.8–10.10
Accreditation and certification
Enterprises University of Pretoria (Pty) Ltd is wholly owned by the
University of Pretoria. The University is registered as a multipurpose,
public training provider in the higher education and training band.
Delegates who successfully complete a course and comply with
the related assessment criteria are awarded certificates by the
University in recognition of their professional skills development.
Registration and enquiries
Course coordinator
Modjadji Masola
Tel:
+27 (0)12 434 2566
Email:[email protected]
Course leader
Prof Aurona Gerber
Department of Informatics
Tel:
+27(0)12 420 5984
Email:[email protected]
This course is ideal for you if you are in a management or senior
position and you have a keen interest in exploiting data analytics
within your organisation to create new and innovative business
Shifting knowledge to insight
www.enterprises.up.ac.za
+27 (0)12 434 2500
+27 (0)12 434 2505
[email protected]
Private Bag X41, Hatfield, 0028
For quotations on in-house training, email [email protected]