BA02 - Data Mining and Analysis

Service Description

Decision-making in business is at a critical juncture where the reliance on subjective judgment calls is being challenged by the undeniable power of objective, data-driven insights. Yet, the leap from intuition to analytics is hindered by a common barrier: the intimidating complexity of statistical analysis, often perceived as beyond reach for those not well-versed in quantitative skills. The gap between the potential of data analytics and its application in everyday business decisions widens with every missed opportunity and misdirected strategy that stems from guesswork. This divide is further exacerbated by the daunting nature of statistics, which, for many, remains shrouded in academic jargon and complexity. As Jim Barksdale aptly noted, without data, we default to opinions—a precarious foundation for any strategic decision in today’s data-centric world. This workshop is a beacon for those looking to navigate the analytics value chain without getting lost in the statistical wilderness. Scheduled for an immersive one-day experience, this workshop demystifies the statistical concepts and approaches in an accessible manner, tailor-made for laypeople. Participants will engage with real-world datasets, employing analytical concepts to extract objective insights, all presented in a language that resonates with non-experts. Learning outcomes - Understand the analytics value chain and process and the role that data mining and analysis plays in it - Appreciate that there are two types of analytics - Descriptive and Inferential - Learn how to describe data accurately and how to conduct descriptive analysis to understand the current state of the workforce. Includes understanding data types, central tendency & variation - Learn what inferential analysis is and when to use; to make reliable estimations with limited data (sampling), to test and interpret hypotheses. - Gain exposure to the various methods available and when to use them; including T-Test, Chi-Square tests, Correlations and Multiple regression methods all illustrated with realistic use cases Technical Requirements - In the interest of helping students build the requisite skills, much of the workshop will be application based, where students practice their skills on the most popular analytics platform - MS Excel - Students will be required have their own internet accessible laptops with MS Excel (2016 or later) and ZOOM installed.

Cancellation Policy

Should any student be unable to attend the workshop for any reason and informs FYT Consulting at least 2 days prior to the commencementof the workshop; they would be scheduled for the next run of the same workshop. If the student is unable to attend and did not inform FYT Consulting, a recorded video of the workshop will be provided in lieu of attendance. No refund will be provided

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