Building the Data Academy

Attendees will gain a step-by-step blueprint for building a data analytics academy, making the case to management, to identifying candidates and topics, to measuring its effectiveness.

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Information Technology, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Information Technology Basics
Fundamental principles and concepts
Practical ApplicationTrending
Real-world project implementation
Best Practices
Industry standard workflows and guidelines
Problem Solving
Core Concepts
Implementation
Workflow Integration
Optimization
Careers:Relevant for professionals pursuing roles within Information Technology.

Quick Facts

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What You’ll Learn

In September 2019, McKinsey called for the rise of the in-house “analytics academy” to up-skill employees' data literacy and prepare organizations for the changes from artificial intelligence and automation.

In this session, I will share tips for designing effective data analytics training programs acquired from working with leading technology and development organizations.

Attendees will gain a step-by-step blueprint for building a data analytics academy, making the case to management, to identifying candidates and topics, to measuring its effectiveness.

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Outcomes

  • Building the Data Academy : 22mins.
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FAQs

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