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AKTU Data Analytics Lab (BAD651) Syllabus PDF – B.Tech 3rd Year

Name: AKTU Data Analytics Lab (BAD651) Syllabus PDF – B.Tech 3rd Year
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Data Analytics Lab BAD651

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English
Semester 6
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Official AKTU syllabus of Data Analytics Lab (BAD651) for B.Tech 3rd Year. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Data Analytics Lab

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BAD651

Course Outcomes

At the end of course , the student will be able to

CO 1	Implement numerical and statistical analysis on various data sources	K 3
CO 2	Apply data preprocessing and dimensionality reduction methods on raw data	K 3
CO 3	Implement linear regression technique on numeric data for prediction	K 3
CO 4	Execute clustering and association rule mining algorithms on different datasets	K 3
CO 5	Implement and evaluate the performance of KNN algorithm on different datasets	K , K 3 4

Course Content

To get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND) using in R.
To perform data import/export (.CSV, .XLS, .TXT) operations using data frames in R.
To get the input matrix from user and perform Matrix addition, subtraction, multiplication, inverse transpose and division operations using vector concept in R.
To perform statistical operations (Mean, Median, Mode and Standard deviation) using R.
To perform data pre-processing operations i) Handling Missing data ii) Min-Max normalization
To perform dimensionality reduction operation using PCA for Houses Data Set
To perform Simple Linear Regression with R.
To perform K-Means clustering operation and visualize for iris data set
Write R script to diagnose any disease using KNN classification and plot the results.
To perform market basket analysis using Association Rules (Apriori). Note: The Instructor may add/delete/modify/tune experiments, wherever he/she feels in a justified manner It is also suggested that open source tools should be preferred to conduct the lab (R , Python etc. )