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ICBE Skillnets - Data Analytics - Level 1 with Qlik

This Level 1 data literacy course is aimed at anyone who wants to understand and improve their overall data literacy and analytics maturity. This course is sponsored by the ICBE Business Excellence Skillnet and Advanced Productivity Skillnet programs

Course Access : Lifetime
Course Access : Lifetime
Instructors : 1
Documents : 25
Test : 4
Languages : UK English

What you'll Get

  • The goal is to increase an organisation’s overall data literacy and data analytics maturity level. Participants will:
  • Get a framework for practical implementation on how to apply processes, tools, roles & responsibilities, collaboration, risk & expectation management to build effective data analytics programs
  • Understand how Lean Sigma DEMAIC methodologies can be combined with data mining methods like CRISP-DM to create more efficient and effective advanced productivity projects as data gets ever more difficult to manage
  • Understand how to harness the latest data architectures used in providing the required data to analytics systems to answer the business questions relative to the new industry 4.0 era
  • Be able to apply the latest analytic techniques, tools, and algorithms in the market to speed the harnessing of data for business advantage.

Description

Key Course Differentiation

Collaboration:

The new cross-functional collaboration requirements of modern data analytics initiatives are fully supported in this course with collaborative workspaces and team exercises. The course has a mixture of business content, data content and a collaborative project to ensure worthwhile learnings for both business and technical participants. Both groups get value from using a common framework and understanding of data.

Tailored Content:

The course is reinforced with real business cases and use case project work to demonstrate the importance of collaboration across the organisation. The development framework combines classic data mining with Lean Sigma methods. It is conducted by industry professionals in data and analytics architectures and solutions from different vertical markets such as Life Sciences, Manufacturing, Finance, and retail, among others.

Duration

3 days effort over 3 weeks. Attendance at 7 online lectures of 60 to 90 minutes each in week one. 16 hours non-contact time to complete course project over following 2 weeks, with 3 master online mentoring sessions of one hour each in those following 2 weeks with online presentation of project results to class at end of course.

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