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Overview

​The Data Science Essentials Certificate Program at Cornell University provides a robust foundation in data science, emphasizing the importance of data-driven insights across various industries.​ With a focus on the statistical programming language R, this program is ideal for individuals looking to develop essential data manipulation and visualization skills. Participants will engage in practical exercises to analyze and summarize real datasets, ultimately enhancing their capability to draw meaningful conclusions from data.

Course Structure

  • Format: All Online
  • Time Commitment: 2 months with 5-8 hours of study per week

Key Benefits

  • Expert-Led Learning: Courses are developed by Cornell faculty, ensuring a high standard of educational content and industry relevance.
  • Flexible Learning Environment: The online format allows participants to balance their studies with professional responsibilities effectively.
  • Interactive Learning Experience: Participants can engage in facilitated discussions and live sessions, fostering collaboration and knowledge sharing with peers.
  • Real-World Application: The program is designed to provide practical projects that enable participants to apply their learning immediately to relevant scenarios in their workplaces.
  • Personalized Feedback: Each participant receives substantial feedback on assignments from expert facilitators, enhancing their learning experience and outcome.

Organization

eCornell

Cornell University is dedicated to academic excellence, offering innovative programs that combine rigorous coursework with real-world applications. eCornell, the university’s online learning platform, stands out with its supportive learning environment, featuring small classes, personalized feedback, and expert facilitators. Students join a global community of industry professionals, engaging in meaningful discussions, real-world projects, and live sessions. Designed by top instructional designers and taught by renowned Cornell faculty, these programs are crafted to maximize knowledge retention and practical application, ensuring that learning is both relevant and impactful.

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