| Course Status : | Upcoming |
| Course Type : | |
| Language for course content : | Hindi |
| Duration : | 8 weeks |
| Category : |
|
| Credit Points : | 3 |
| Level : | Undergraduate/Postgraduate |
| Start Date : | 26 Jan 2026 |
| End Date : | 30 Apr 2026 |
| Enrollment Ends : | 28 Feb 2026 |
| Exam Date : | |
| Translation Languages : | English |
| NCrF Level : | 4.5 — 8.0 |
| Industry Details : | Education and Training |
|
swayam@nitttrc.edu.in, swayam@nitttrc.ac.in
Week 1:
Introduction to Python Programming
• Overview
of Python, Installation, and IDEs
• Data
Types
• Input
and Output
• Operators
• Control
Statements
• Functions
• Modules
• Arrays
• Strings
Week 2: Built-in
Data Structures
• Lists
• Tuples
• Dictionaries
• Sets
Week 3: File
Handling
• Text
and binary files
• Error
handling and exceptions
• Working
with CSV and JSON formats
Week 4:
Introduction to Data Science and Python Libraries for Data Science
• Data
Science essentials
• NumPy
– arrays, indexing, operations
• Pandas
– Series, DataFrames
Week 5: Data
Acquisition and Cleaning
• Data
Collection and Integration
• Handling
Missing Values
• Detecting
and treating duplicates
• Dealing
with inconsistent data (case sensitivity, formatting issues, whitespace)
Week 6: Data
Transformation
• Feature
scaling (normalization, standardization)
• Feature
Selection
• Feature
encoding (label encoding, one-hot encoding)
• Binning
/ discretization of continuous variables
Week 7: Outlier
Detection & Treatment
• Identifying
outliers using statistical methods (Z-score, IQR)
• Visual
detection of outliers (boxplots, scatterplots)
• Handling/removing
outliers
• Handling
Imbalanced Data
Week 8: Data
Visualisation and Exploratory Data Analysis
• Visualisation
with Matplotlib, Seaborn
• Plotting
techniques: line, bar, histogram, scatter plot, heatmap
• Exploratory
Data Analysis (EDA) – descriptive statistics, correlation
Dr.
Mala Kalra is an Assistant Professor in the Department of Computer Science and Engineering at the National Institute
of Technical Teachers Training and Research (NITTTR), Chandigarh. She received her B.E. in CSE from MDU, Rohtak, Haryana, and her M.E. in CSE from PEC, Chandigarh. She was awarded her Ph.D. in CSE from Panjab University, Chandigarh. With more than two decades of rich teaching and research experience, Dr. Kalra has emerged as a dedicated mentor and accomplished
scholar. She has successfully guided 49 M.E. thesis. Under her supervision, 2 PhD students have
submitted their thesis and 2 Ph.D. thesis are currently in progress. She has published more than 80 high-quality research papers in refereed
international journals and prestigious international conferences, reflecting her scholarly contributions and research excellence. She has also served as a reviewer for reputed
journals of Wiley,
IEEE, and Elsevier. She has organized three international
conferences funded by DSIR and AICTE and also edited two Springer
books emerging from these international conferences. She has conducted over 80 FDPs in cutting-edge areas of CSE, demonstrating
her commitment to
capacity building and academic leadership. She has delivered
expert talks in various FDPs sponsored by TEQIP and AICTE. She has been a Keynote
Speaker and Session Chair in International Conferences, showcasing her recognition
in the global research community. She has been granted one
patent. She has also successfully accomplished sponsored projects, including
the prestigious AICTE Margdarshan Scheme. She is an active member of
leading professional bodies such as ACM, Indian Society
for Technical Education (ISTE), Computer Society of India (CSI), Institution of
Engineers (India), and IETE, which underlines her professional
standing and academic networking.
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