This course provides a comprehensive introduction to business/data analytics, equipping students with the skills and knowledge needed to analyze and interpret data for informed decision-making in a business context.
This course provides a comprehensive introduction to business/data analytics, equipping students with the skills and knowledge needed to analyze and interpret data for informed decision-making in a business context.
Participants will explore various analytical techniques, tools, and technologies, and gain hands-on experience through practical applications.
Business data analytics refers to the process of examining and interpreting data to provide insights that can be used to make informed business decisions. It involves the use of various techniques, tools, and technologies to analyze large sets of data and extract meaningful patterns, trends, and correlations.
The goal is to leverage data to gain a competitive advantage, optimize processes, and drive business success.
Teaching Modules
Understand the role and importance of data analytics in business decision-making.
Develop proficiency in data collection, cleaning, and preparation.
Apply statistical and machine learning techniques to analyze business data.
Create effective data visualizations to communicate insights.
Use business intelligence tools for reporting and interactive analysis.
Explore big data technologies for handling large datasets.
Understand data governance and security principles.
Develop decision support systems for business applications.
Course Outline
Introduction to Business/Data Analytics
Data Collection and Preparation
Sources of business data
Statistical Analysis for Business
Machine Learning Fundamentals
Data Visualization
Business Intelligence (BI) Tool
Big Data Analytics
Data Governance and Security
Decision Support System
Industry Applications and Trend
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