Courses

Foundations of Data Science

The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon.


Description

The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design.

Produced in partnership with the University of California, Berkeley - Ani Adhikari and John Denero with Contributions from David Wagner Computational and Inferential Thinking.

Name Foundations of Data Science
Language English
Duration 12:43 hours
Sector IT-ITES
QP SSC/Q8101 - AI - Data Quality Analyst , SSC/Q8102 - AI - Business Intelligence Analyst , SSC/Q8103 - AI - Visualization Specialist , SSC/Q8104 - AI - Data Scientist , SSC/Q8105 - AI - Applied Scientist , SSC/Q8106 - AI - Data Engineer , SSC/Q8107 - AI - Data Architect , SSC/Q8108 - AI - Solution Architect , SSC/Q8109 - AI - Database Administrator , SSC/Q8111 - AI - Data Steward , SSC/Q8112 - AI - Devops Engineer , SSC/Q8113 - AI - Machine Learning Engineer  , SSC/Q8117 - AI - Data Sciences Consultant , SSC/Q8118 - AI - Product Manager , SSC/Q8119 - AI - Chief Data Officer ,
Price (INR) FREE
Availablity Available full time
Certification Availability Not Available
Assessment Availability Available
Pre-Qualification Under Graduate
NSQF level 6,6,6,8,7,7,8,8,7,7,7,7,8,8,9

Course Rating

Average Rating:5.0