Making Better Decisions with Data for Small Business Owners

Overview

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey.

Syllabus

• Introduction to Data-Driven Decision Making
Importance of data in business decisions
Overview of data-driven strategy for small businesses
• Basics of Data Collection and Management
Identifying key data sources
Using AWS services for data collection
Storing and managing data efficiently
• Understanding Data Analysis
Types of data analysis: Descriptive, Predictive, and Prescriptive
Data visualization techniques
Using AWS tools for data analysis (e.g., Amazon QuickSight, AWS Glue)
• Leveraging AWS Machine Learning for Small Businesses
Introduction to machine learning concepts
Overview of AWS machine learning services (e.g., Amazon SageMaker)
Identifying machine learning opportunities in your business
• Making Informed Decisions with Predictive Analytics
Developing predictive models using AWS services
Interpreting predictive analytics results
Case studies: Successful applications in small businesses
• Implementing Data-Driven Strategies
Developing a data-driven business plan
Aligning business goals with data insights
Building a culture of data-driven decision-making
• Ethical Considerations and Data Privacy
Understanding data privacy laws and regulations
Implementing data security best practices
Ethical considerations in data usage
• Hands-On Workshop
Setting up a small data project using AWS
Applying data analysis tools in real business scenarios
Group case study analysis and presentations
• Conclusion and Next Steps
Key takeaways and recommendations
Continuous learning resources
Q&A session
• Assessment and Certification
Final project submission
Course certification based on project outcomes and participation

Subjects

Data Science