Harvard University ยท University
Principles Statistical and Computational Tools for Reproducible Data Science
Develop data science skills through Principles Statistical and Computational Tools for Reproducible Data Science. Work with real datasets, apply statistical methods, and build analytical models used by industry professionals.
- Provider: Harvard University
- Level: Intermediate
- Duration: ~8 weeks (4 to 6 hrs/week)
- Format: Online
- Certificate: Certificate
- Subject: Data Science
Skills you build
- Data Analysis
- Python
- Statistics
- Machine Learning
How this course sits in the catalogue
Careery lists 360 Data Science courses, of which 194 are at intermediate level. Harvard University accounts for 47 of the courses in the catalogue overall.
Python, by contrast, is named on 422 other courses, so it is worth comparing price and length before enrolling for that alone.
Where this course fits
On Careery a course is the last step of one arc, not the first. Read your CV against the job you are targeting in CV and Job Match, check what that role pays and who is hiring for it in Job Scout, and what is left is a skill gap with a price attached, which is what Course Path orders.
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