Data Analytics Lab (CS-605)
Course Outcomes:
After completion of the course students should be able to
1. Understand the basic of data analytics using concepts of statistics and probability.
2. Understand the needs of data processing techniques.
3. Implement the data analytics techniques using R, MATLAB and Python.
4. Apply the data analytics techniques in real life applications.
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B.Tech RGPV notes AICTE flexible curricula Bachelor of technology
Syllabus
UNIT 1:
Basics of data analytic framework, data per-processing, Statistics, probability, Probability
Distribution, Bayes’ Theorem, Central Limit theorem, Data Exploration & preparation,
Concepts of Correlation, Regression, Covariance, Outliers, Data visualization
UNIT 2:
Introduction to R as a data analytics tool.
UNIT 3:
Introduction to MATLAB as a data analytics tool.
UNIT 4:
Introduction to python as a data analytics tool.
UNIT 5:
Case studies.
NOTES
- Unit 1
- Unit 2
- Unit 3
- Unit 4
- Unit 5
Books Recommended