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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. NEXT PAGE 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. • Course fees • • • • • • • • • • • • • • • • • • • 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 • use data for innovation and innovative solutions to business problems • understand the CRISP-DM phases and the activities within each phase • illustrate a knowledge of data understanding and preparation for data analytics • execute several analytics models and understand their input and output requirements • understand the advantages and disadvantages of analytics models • prepare data for models • evaluate and deploy data analytics results to solve business problems • create new business opportunities • understand the ethical, legal and security aspects of data analytics, and • 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: • Quad core • 3 GHz (or faster) processor • 16 GB RAM • 100 GB or more free disk space • 64-bit operating system (preferably) • 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]