Introduction to Business Analytics (2022)
1h 25mBeginner2022-02-22
Authors

John David Ariansen
Helping organizations understand and use data
Course details
Data is an extremely valuable resource. But without study, it can’t be used to create a data-informed strategy. Business analytics helps organizations leverage data to make better, more informed decisions. This course is a basic introduction that lays out the foundations of analytics in an easy-to-understand and engaging manner. Expert John David Ariansen explains why data is so powerful, what insights really matter, and how to use common analysis tools and techniques. Additionally, John David explores data source maps, database management, and all the various data sources that may be encountered. By the end of the course, you should have the skills necessary to start collecting, tracking, and analyzing a variety of data, including sales, marketing, and psychographic metrics.
Skills covered
Business AnalyticsIntroduction toData Science
Concepts
Introduction
- Empower your business through analytics
How Can Data Improve Your Business
- What is the value of data
- How can data drive my decisions
- Data driven vs. data informed
- Three types of analytics
Analytics Fundamentals
- Data governance
- Data tracking tools
- Effective data analysis
- Finding insights in data
- Statistics for analysts
- Data informed decision making
Data Source Map
- Data source map
- Internal vs. external data sources
- Combining data sources
Managing Data
- Database management
- Data silos
- Data management tools
- Visualizing data
- Reporting infrastructure
The Value of Data Sources
- Sales data
- Marketing data
- Cost data
- Psychographic data
- External data
Tracking Data
- Key sales metrics
- Tools to track sales data
- Key marketing metrics
- Tools to track marketing data
- Key cost metrics to track
- Tools to track cost data
- Key psychographic metrics
- Tools to track psychographic data
Conclusion
- Next steps
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Related learn paths
- Get Ahead in Business Analytics and Analysis
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- Career Essentials in Data Analysis by Microsoft and LinkedIn
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