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Foundations of Data Science

Link to Content:
Foundations of Data Science

Created/Published/Taught by:
Nate Kugland
Sathya Anand
Sneha Runwal
Henry Castellanos

Content Found Via:

Free? No

Cost Range:
$499.00 - $1,497.00

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Content Type: /

Difficulty Rating:
Early Beginner 1
Advanced Beginner 0
Intermediate 0
Advanced Intermediate 0
Advanced 0

From Springboard:

“Launch your Data Science career with this introductory course. Build a solid foundation in R and start exploring data-related careers.

What you’ll learn: Becoming a data scientist isn’t easy. It takes more than just mastering skills like statistics, data wrangling, and visualization. You need to learn how to ask the right questions and weave a story around your findings.

By the end of the course, you’ll:

  • Build a foundation in R programming and statistics.
  • Communicate effectively with all stakeholders by telling a story with data.
  • Clean an analyze large datasets to make data-driven decisions.
  • Be ready to apply for data analytics and junior data scientist roles, and take on freelance projects.”

Recommended Prerequisites: "Some background in programming (basic familiarity with variables, functions, loops, etc; any language ok) is helpful."

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