Python for Data ScienceCornell Certificate Program
Certificate Program
Python for Data Science (CACC02)
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$0
How It Works
Format
All Online
Time Commitment
5 months with 3-5 hours of study per week
Cost
$0
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
Format
All Online
Time Commitment
5 months with 3-5 hours of study per week
Cost
$0
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
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Faculty Author
Chris Myers
Adjunct Professor
Cornell University Center for Advanced Computing
Senior Research Associate / Adjunct Professor Cornell University Center for Advanced Computing
Bio coming soon
Key Course Takeaways
- Visualize data with Python
- Write custom functions and data classes in Python that can be stored for reuse
- Use key elements of Python control flow and iteration
- Use Jupyter Notebooks to integrate data analysis, visualization, and documentation
- Manipulate data arrays and tables using NumPy and Pandas
- Filter, integrate, and prepare data for analysis
- Perform statistical data analysis and visualization
- Explore datasets with machine learning
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Download a Brochure
Not ready to enroll but want to learn more? Download the certificate brochure to review program details.“
I like to think outside of the box, and this program from eCornell helped me conceptualize how I want to approach data problems going forward. I was able to actually apply new course concepts to my work, rather than simply repeat steps with different values.
‐ Mark T.
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Python for Data Science
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