Data Scientist: The Sexiest JobHarvard Business Review
of the 21st Century
The Data Incubator is a Cornell-funded data science training organization. We run an introductory 3-week part-time online program geared towards giving working professionals a comprehensive introduction to real-time data and equip them with the tools to utilize it. Students will learn about modern best practices which can enhance productivity in any real-time data workflow.
Learn the fundamentals of real-time data from experienced professionals dedicated to equipping students with the knowledge necessary to thrive while working with real-time data at scale.
The flexible, part-time, online course is perfect for working professionals looking to incorporate streaming data into their development processes. Recorded class sessions allow you to fit the course into your already busy schedule.
Develop an understanding of how leveraging streaming data can affect the bottom line of your company and recieve practical instruction on how to optimize common workflows.
Automate data pipelines for real-time data analysis and visualization. Make your decisions based on data now.
Live lectures allow you to ask your instructor questions and interact with your classmates.
Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.
This course is for you if:
Upon completion of this course, you will:
To get more information, including the dates, and to get a detailed syllabus, enter your information below. The course tuition is $1,695.00 with early-bird discounts available.
Interested in the course but need help with financing? We've partnered with Climb Credit to help. Climb offers affordable, 3-year financing with fixed interest rates and low monthly payments. Apply online and get a decision same-day with no impact on your credit. Have questions about how it works? Check out their FAQ.
With loads of data you will find relationships that aren’t real.Forbes Magazine
Big data isn’t about bits,
it’s about talent.