- Data Management
- Data Analysis
- Key Performance Indicators (KPIs)
- Data Mining
- Data Warehousing
- Business Analytics
- Data-Driven Decision-Making
- Data Collection
- Business Intelligence
- Extract, Transform, Load
- Statistical Visualization
- Data Transformation
Business Intelligence (BI) Essentials
Completed by Deontae Cummings
March 10, 2024
14 hours (approximately)
Deontae Cummings's account is verified. Coursera certifies their successful completion of Business Intelligence (BI) Essentials
What you will learn
Explain the concept of business intelligence (BI), the key components and challenges involved, and the career options in this field.
Describe data analytics and its significance in BI, recognizing its role in extracting insights from data.
Evaluate different business intelligence tools and technologies used to analyze the business context and requirements of a BI project.
Develop actionable insights using appropriate tools and techniques for data gathering, wrangling, analyzing, mining, visualizing, and reporting.
Skills you will gain
