Introduction to Business Analytics
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Short Course by
AIT Extension
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For more information pls. visit https://www.extension.ait.ac.th/course/1041
Course Information:
Business Analytics is a methodical exploration of an organizations data to understand the business and make decisions. The tools provided by business analytics allow organizations to understand their past and current performance, and to plan effectively for the future. This course explores evidence-based, data-driven, quantitative methods to conduct predictive modeling, operational and statistical analysis to improve business decision-making.
On completion of this course, you will be able to:
- Identify and comprehend the basic methodologies and tools of data analysis in a business context
- Demonstrate an understanding of the use of data and data analytics in understanding and solving business problems and finding new business opportunities.
- Evaluate the usefulness of business analytics tools and methods in various business contexts.
- Effectively use business analytics in order to engage with the world and the information available to them in new and more expansive ways, by converting data into value-added information and commercial knowledge.
- Developbusinessanalyticsskillstoviewshowoperationscanoperatemoreefficientlyandthroughthis, increase the competitive edge of the companies in which they work.
- Critically examine how business analytics are used to track key performance indicators to understand the current business performance (descriptive), analyze trend data to assess the probability of future outcomes (predictive) and use past performance to generate recommendations on how to handle potential future situations.
- Understand how businesses can use statistical functions to conduct data mining and predictive modeling. The process includes aspects of business intelligence, trying to answer a range of questions from “What happened?” to “Why did it happen?” and “What might happen in the future for us to respond to?
Outline
Introduction to business analytics; Describing and Summarizing Data; Sampling and Estimation; Hypothesis (or relationship) testing; Regressions; Using Data Analysis in business decision-making
Schedules
Jul 11, 2020 - Jul 31, 2020
ENDED
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