| Course Status : | Upcoming |
| Course Type : | Elective |
| Language for course content : | English |
| Duration : | 8 weeks |
| Category : |
|
| Credit Points : | 3 |
| Level : | Undergraduate/Postgraduate |
| Start Date : | 21 Jul 2025 |
| End Date : | 30 Nov 2025 |
| Enrollment Ends : | 31 Aug 2025 |
| Exam Date : | 11 Dec 2025 IST |
| Translation Languages : | English |
| NCrF Level : | 4.5 |
| Industry Details : | Software Development |
| Exam Shift : | Shift 1 |
Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.
|
swayam@nitttrc.edu.in, swayam@nitttrc.ac.in
|
Sr No. |
Units and
Lessons/Sub-Units |
|
1. |
Structured
Instruction – Relevance to real-world problems – collaborative learning
activities for solving the problem – Application oriented teaching – feedback
and support |
|
2. |
Introduction
to Programming and Python - Installing Python and Setting Up Development
Environment - Basic Syntax, Variables, and Data Types - Input/Output
Operations – Learning Activities: Overview lectures on programming
concepts and Python fundamentals - Hands-on exercises to practice basic
syntax and data types - Coding tasks involving input/output operations. |
|
3. |
Data Structures: Lists, Tuples, Dictionaries, and
Sets - Creation and Manipulation String Manipulation and Formatting - Reading
from and Writing to Files in Python Handling Exceptions and Errors. Learning Activities: Exercises and coding challenges to practice working with lists,
tuples, dictionaries, and sets - String manipulation tasks and formatting
exercises - list comprehensions - File manipulation exercises: reading,
writing, and handling different file formats - Error handling exercises to
manage exceptions |
|
4. |
Functions and Modules: Basics and Usage - Built-in
and Standard Libraries - Pandas and NumPy Libraries - Loading and Displaying
Data: CSV, Excel, JSON, and other formats8 - Data Manipulation with Pandas -
DataFrame and Series: Creation and Basic Operations - Indexing, Slicing, and
Filtering DataFrames -Grouping and Aggregation - Creating and Importing
Modules Learning Activities: Coding exercises to create and use functions and modules - Exploring
built-in libraries and their functionalities - Coding tasks to introduce
basic Pandas and NumPy operations - Hands-on exercises on creating DataFrames
and Series, performing basic operations - Coding tasks involving indexing,
slicing, and filtering of data - Practical exercises demonstrating grouping
and aggregation - Hands-on tasks to create and import custom modules. |
|
5. |
Importance and Principles of Data Visualization-
Matplotlib, Seaborn, and Plotly - Basic Plotting with Matplotlib: Line Plots,
Scatter Plots, Bar Plots - Customizing Plot Appearance: Colors, Labels,
Titles, and Legends - Multiple Plots and Subplots in Matplotlib - Working
with Different Plot Types: Histograms, Pie Charts, Box Plots - Seaborn for
Statistical Visualization: Heatmaps, Pair Plots, Violin Plots - Facet Grids
and Categorical Plots in Seaborn Learning Activities: Explanation of data visualization concepts and libraries through
lectures - Hands-on exercises on basic plotting using Matplotlib - Coding
tasks to create various types of plots (line, scatter, bar) for data
representation - Practical exercises on customizing plot attributes and
appearance - Hands-on tasks to create multiple plots and subplots - Coding
challenges for generating histograms, pie charts, and box plots - Hands-on
exercises to create advanced plots using Seaborn |
"The SWAYAM Course Enrolment and learning is free. However, to obtain a certificate, the learner must register and take the proctored exam in person at one of the designated exam centres. The registration URL will be announced by NTA once the registration form becomes available. To receive the certification, you need to complete the online registration form and pay the examination fee. Additional details, including any updates, will be provided upon the publication of the exam registration form. For more information about the exam locations and the terms associated with completing the form, please refer to the form itself."
Grading Policy:
- Internal Assignment Score: This accounts for 30% of the final grade and is calculated based on the average of the best three assignments out of all the assignments given in the course.
- Final Proctored Exam Score: This makes up 70% of the final grade and is derived from the proctored exam score out of 100.
- Final Score: The final score is the sum of the average assignment score and the exam score.
Eligibility for Certification:
- To qualify for a certificate, you must achieve an average assignment score of at least 10 out of 30, and an exam score of at least 30 out of 70. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >=40/100.
Certificate Details:
- The certificate will include your name, photograph, roll number, and the percentage score from the final exam. It will also feature the logos of the Ministry of Education, SWAYAM, and NITTTR.
- Certificate Format: Only electronic certificates (e-certificates) will be issued; hard copies will not be dispatched.
Once again, thanks for your interest in our online courses and certification. Happy Learning.
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