Overview
Master the practical skills needed to gather, process and evaluate data with integrity and precision. This course equips learners with essential techniques for data retrieval, collection and quality assurance, while emphasizing methods to reduce bias and uphold ethical standards.
Participants will explore how to ensure data reliability and apply sound judgment in data-driven decision-making. By the end of the course, learners will be prepared to manage data responsibly and support critical business outcomes with confidence.
Key Benefits:
- Ethical data collection compliant with privacy regulations
- Bias identification and minimization techniques
- Data quality assessment using established metrics
What's Included:
- Expert guidance from Dr. Treena Basu, data science and EDM specialist
- Ethical frameworks for responsible data practices
- Tools overview including spreadsheets, databases, SQL and Python
- Practical techniques for efficient data extraction and operations
Build confidence in your data foundation through systematic quality practices.
Course Modules
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Certificate program
This course is a part of the following certificate program:

Who this course is designed for
- Data professionals seeking ethical collection frameworks
- Business analysts responsible for data integrity and quality
- Operations managers overseeing data-driven processes
- Compliance professionals ensuring regulatory adherence in data practices
- Managers evaluating data reliability for strategic decisions
- Anyone responsible for establishing or improving organizational data operations
Outcomes
By the end of this course, you’ll be able to:
- Implement ethical data collection methods in compliance with privacy regulations and ethical standards
- Identify and minimize bias during data collection, ensuring data quality and reducing the potential for skewed insights
- Demonstrate efficient and ethically sound data extraction techniques
- Assess data quality using established metrics, enhancing the reliability and accuracy of data used in decision-making
- Examine how basic tools like spreadsheets and databases can empower decision-makers to enhance data organization
- Recognize the relevance of SQL and Python as tools for enhancing data analysis
Program support
Have additional questions?
Have a question? Please reach out to certificatehelp@thunderbird.asu.edu for help.
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