Data Literacy Foundations
This course is part of Data Analysis for Decision-Making.
This comprehensive course introduces the fundamentals of data literacy in today's digital world. Students explore how data is used daily, examining its transformation from analog to digital forms. The curriculum covers critical thinking in data analysis, ethical considerations in data usage, and practical application of analysis tools and methodologies. Perfect for professionals seeking to enhance their data analysis capabilities or transition into data analytics roles, this course provides essential skills for data-driven decision-making in modern workplaces.
3.9
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Instructors:
-1748521665388.webp&w=3840&q=75)
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What you'll learn
Understand how data is used in everyday scenarios and decision-making
Apply critical thinking skills effectively when working with data
Navigate legal and ethical considerations in data usage
Identify and utilize appropriate data analysis tools and techniques
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
The course provides a comprehensive introduction to data literacy and its practical applications. Starting with everyday data usage examples, students learn about the transformation of data from analog to digital forms. The curriculum covers ethical considerations in data usage and emphasizes critical thinking skills essential for effective data analysis. Students explore various analysis tools and methodologies, learning how data drives strategic planning and competitive advantage. The course combines theoretical knowledge with practical case studies to ensure real-world application capabilities.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Analysis for Decision-Making
Instructor
-1748521665388.webp&w=256&q=75)
2 Courses
Director of Academic and Faculty Affairs at Rochester Institute of Technology
As Director of Academic and Faculty Affairs for RIT Certified, Daniel loves helping bring to life the passion and expertise of subject matter experts in courses that help students advance their careers. As a math teacher for over a decade, he helped students think computationally and communicate their thinking using narratives, diagrams, code, or mathematical notation. In 2021, Daniel earned an MS in Data Science and joined RIT in 2022. Outside of work, he enjoys hiking, meditation, and RIT hockey.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.