|
Sr. No. |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|
|
1 |
Mathematical Foundations in Data Science |
3 |
1 |
0 |
4 |
4 |
|
2 |
Data Base management systems (DBMS) |
3 |
0 |
1 |
4 |
5 |
|
3 |
Data Structures and Algorithms using Python |
3 |
0 |
1 |
4 |
5 |
|
4 |
Python Programming |
3 |
0 |
2 |
5 |
7 |
|
5 |
Cloud computing for Data Science |
4 |
0 |
0 |
4 |
4 |
|
Total Credits |
21 |
25 |
||||
|
Cumulative Credits |
21 |
|||||
|
Sr. No. |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|
|
1 |
Data Analytics |
3 |
0 |
1 |
4 |
5 |
|
2 |
Machine Learning with Lab |
3 |
0 |
1 |
4 |
5 |
|
3 |
Cloud Data Warehousing |
3 |
0 |
1 |
4 |
5 |
|
4 |
Probability and Statistics |
3 |
0 |
1 |
4 |
5 |
|
5 |
Elective-1 |
2 |
0 |
1 |
3 |
4 |
|
6 |
Research Methodology and Scientific communication |
0 |
0 |
2 |
2 |
4 |
|
Total Credits |
21 |
28 |
||||
|
Cumulative Credits |
42 |
|||||
|
Sr. No. |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|
|
1 |
Deep Learning with Py-torch |
3 |
0 |
1 |
4 |
5 |
|
2 |
Data Visualization using Power BI/Tableau |
3 |
0 |
1 |
4 |
5 |
|
3 |
Natural Language Processing (NLPs) |
3 |
0 |
1 |
4 |
5 |
|
4 |
Multivariate Data Analysis |
3 |
0 |
1 |
4 |
5 |
|
5 |
Time series Analysis |
3 |
0 |
1 |
4 |
5 |
|
6 |
Elective-2 |
2 |
0 |
1 |
3 |
4 |
|
Total Credits |
23 |
29 |
||||
|
Cumulative Credits |
65 |
|||||
|
Sr. No. |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|
| 1 |
Research work/ Dissertation |
12 |
0 |
0 |
12 |
|
|
Total Credits |
12 |
|||||
|
Cumulative Credits |
87 |
|||||
|
S.No. |
Subject Code |
Subject Name |
L |
T |
P |
Credits |
|---|---|---|---|---|---|---|
|
1 |
Block chain technology |
2 |
0 |
1 |
3 |
|
|
2 |
Healthcare Data Analytics |
2 |
0 |
1 |
3 |
|
|
3 |
Exploratory Data Analysis |
2 |
0 |
1 |
3 |
|
|
4 |
Financial Analytics |
2 |
0 |
1 |
3 |
|
|
5 |
Bayesian Data Analysis |
2 |
0 |
1 |
3 |
|
|
6 |
Social Network Analysis |
2 |
0 |
1 |
3 |
|
|
7 |
Geospatial Data Analysis |
2 |
0 |
1 |
3 |
|
|
8 |
Reinforcement Learning |
2 |
0 |
1 |
3 |
|
|
9 |
Stochastic Modeling |
2 |
0 |
1 |
3 |
|
|
10 |
Data cleaning and Mining |
2 |
0 |
1 |
3 |
|
|
11 |
Regression Analysis and Predictive models |
2 |
0 |
1 |
3 |
|
|
12 |
Applications for Generative AI |
2 |
0 |
1 |
3 |
|
|
13 |
Computer Vision and Imaging |
2 |
0 |
1 |
3 |
|
Basket |
Course Title |
|---|---|
|
PE 1: |
Data Warehousing and Mining |
|
Parallel and Object Orient Data Base |
|
|
PE 2: |
Healthcare Analytics |
|
Financial Analytics |
|
|
PE 3: |
Distributed Databases |
|
Relational Database management Systems (RDBMS) |
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