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AKTU Introduction to Computational Data Analytics (MNDS601) Syllabus PDF – B.Tech Minor Degree in Data Science
Introduction to Computational Data Analytics MNDS601
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Official AKTU syllabus of Introduction to Computational Data Analytics (MNDS601) for B.Tech Minor Degree in Data Science – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Introduction to Computational Data Analytics
Download PDFMNDS601 · 4 credits · L-T-P 3-1-0
Course Outcomes
At the end of course , the student will be able to understand
| CO 1 | Provide you with the knowledge and expertise to become a proficient data scientist |
| CO 2 | Explain how data is collected, managed and stored for data science; |
| CO 3 | When to use which type of Machine learning model. |
| CO 4 | Implement various ML algorithms on data models. |
Course Content
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | Introduction to R Computing language. Best practices in executing Reproducible Research in data science, Sampling and Simulation. Descriptive statistics, and the creation of good observational sampling designs. | 08 |
| II | Data visualization, Data import and visualization, Introduction to various plots | 08 |
| III | Frequentist Hypothesis Testing, Z-Tests, Power Analysis | 08 |
| IV | Linear regression, diagnostics, visualization, Likelihoodist Inference, Fitting a line with Likelihood, Model Selection with one predictor | 08 |
| V | Bayesian Inference, Fitting a line with Bayesian techniques, Multiple Regression and Interaction Effects, Information Theoretic Approaches | 08 |
Text Books
- Practical Data Science with R, Nina Zumel, John Wiley & Sons.
- N. C. Das, Experimental Designs in Data Science with Least Resources, Shroff Publisher Publisher.
- Hadley Wickham, Garret Grolemund, R for Data Science, Shroff Publisher/O’Reilly Publisher Publisher
- Benjamin M. Bolker. Ecological Models and Data in R. Princeton University Press, 2008. ISBN 978-0- 691-12522-0.
- John Fox and Sanford Weisberg. An R Companion to Applied Regression. Sage Publications, Thousand Oaks, CA, USA, second edition, 2011. ISBN 978-1-4129-7514-8.
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