How It Works
Format
All Online
Time Commitment
4 months with 8 to 10 hours of study per week
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
4 months with 8 to 10 hours of study per week
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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Key Course Takeaways
- Explore the data analytics process and examine the tools available to improve decision making
- Use unsupervised learning techniques to help identify patterns in data and create visualizations to better spot those patterns
- Categorize data using supervised learning algorithms
- Predict the value of continuous variables with linear regression
- Use neural networks to make predictions about new data
- Make forecasts from data collected over time and measure their accuracy

Download Brochure
Fill out the form below to download program information and connect
with us.
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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