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 | |
|---|---|
| Course Type | Elective |
| Duration | 8 weeks |
| Category |
|
| 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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