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Descriptive Analytics

 

Jan 13 2025, Monday - Jan 16 2025, ThursdaySee Schedule below for times (GMT +8:00) Kuala Lumpur, Singapore

 

11 Research Link, COM 3, 119391

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Overview

What is Analytics and why are companies, enterprises and organisations making data speak?

As data keeps increasing, it becomes a high-value asset from which you can extract decisive information. The question is no longer “do we need analytics?” Instead, the focus is on using tools and capabilities to turn this source of raw data into insights and eventually into action.

Data has become the new corporate asset class. In the MIT Sloan Management Review 2017 survey, 55% of companies said they were effective at using data to guide future strategies. Unlike before when analytics was considered the domain of just data experts, the skill is now essential for executive roles in any domain or industry. As data becomes essential to the growth of every business, the need for senior executives who know how to visualise analytics and take data-driven decisions is increasing.

This course covers descriptive analytics which is the upstream process of the insights value chain. It focuses on what has already happened in a business and is the foundational starting point used to inform or prepare data for further analysis down the line.  Learn how to reveal the winning combination with human hypothesis-driven input and patterns discovered from tools.

Course Description & Learning Outcomes

Course will enable participants to:

  • Understand sources of data generation

  • Learn the tools and techniques to perform data preparation

  • Understand how to make use of tools to perform data exploratory analysis

  • Generate statistical indicators for reports

  • Identify data limitations and understand how to resolve them

  • Acquire analytic skills to describe the data

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Schedule

Start Date: 13 Jan 2025, Monday
End Date: 16 Jan 2025, Thursday

Location: 11 Research Link, COM 3, 119391

Pricing

Course Pricing

Skills Covered

PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.

  • Business Analytics (Proficiency level: Beginner)
Technology:
Industries: