ABOUT THE COURSE :
Learning Objectives :
1.Introduce R as a programming language 0
2.Introduce the mathematical foundations required for data science
3.Introduce the first level data science algorithms
4.Introduce a data analytics problem solving framework
5.Introduce a practical capstone case study
Learning Outcomes:
1.Describe a flow process for data science problems (Remembering)
2.Classify data science problems into standard typology (Comprehension)
3.Develop R codes for data science solutions (Application)
4.Correlate results to the solution approach followed (Analysis)
5.Assess the solution approach (Evaluation)
6.Construct use cases to validate approach and identify modifications required (Creating)
Summary | |
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Course Type | Elective |
Duration | 8 weeks |
Category |
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Start Date | 22 Jan 2024 |
End Date | 15 Mar 2024 |
Exam Registration Ends | 16 Feb 2024 |
Exam Date | 24 Mar 2024 IST |
Assignment Solutions : Practice Quiz Assignment :
CRITERIA TO GET A CERTIFICATE :
- Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course.
- Exam score = 75% of the proctored certification exam score out of 100
- Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE
>=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met,you will not get the certificate even if the Final score >= 40/100.
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