About the Program
The Python Programming course is designed to take you from beginner to advanced level in Python.
Covering everything from core concepts to advanced applications, this program provides hands-on exposure to
data structures, OOP, file handling, databases, APIs, and introductory data science.
By the end of the course, you’ll be able to build real-world applications confidently.
What You’ll Learn
- Python syntax, variables, and data types
- Control structures: loops and conditionals
- Functions and error handling
- Data structures: lists, tuples, dictionaries, and sets
- Object-Oriented Programming (OOP) in Python
- Modules, packages, and popular libraries
- File handling and working with CSV files
- Databases with SQLite and SQLAlchemy
- API development with Flask
- Basics of data science with NumPy, Pandas, and Matplotlib
Why Choose This Course?
- Structured learning from basics to advanced concepts
- Hands-on training with practical exercises and projects
- Industry-relevant curriculum covering applications of Python
- Placement assistance and career guidance
- YVU–SkillDzire recognized certification
Who Can Join?
Ideal for beginners, students, IT professionals, and anyone aspiring to build a career in
Software Development, Data Science, AI, or Automation using Python.
Course Curriculum
1. Introduction to Python
- Understanding Python and its uses
- Setting up the Python environment
- Basic syntax and first Python program
- Using Jupyter Notebook and IDEs
2. Variables and Data Types
- Defining variables and constants
- Data types: strings, integers, floats, and booleans
- Type casting and type conversion
- Basic operations and expressions
3. Control Structures
- Conditional statements: if, elif, and else
- Loops: for and while loops
- Using break and continue
- List comprehensions
4. Functions
- Defining and calling functions
- Arguments and return values
- Lambda functions
- Scope and lifetime of variables
5. Data Structures
- Lists and list methods
- Tuples and tuple operations
- Dictionaries and dictionary methods
- Sets and set operations
6. Error Handling
- Understanding errors and exceptions
- Try, except, and finally blocks
- Custom exceptions
7. Object-Oriented Programming (OOP)
- Classes and objects
- Constructors and destructors
- Inheritance and polymorphism
- Encapsulation and abstraction
8. Modules and Packages
- Importing modules
- Creating and using packages
- Using popular Python libraries
9. File Handling
- Reading and writing files
- Working with CSV files
- File handling with context managers
10. Introduction to Data Science with Python
- NumPy basics for numerical data
- Pandas for data manipulation
- Data visualization with Matplotlib
11. Databases with SQLite
- Introduction to databases and SQLite
- Connecting to an SQLite database
- Creating tables and inserting data
- Querying, updating, and deleting data
- Using SQLAlchemy for ORM (Object-Relational Mapping)
12. API Development
- Understanding APIs and RESTful services
- Setting up Flask for API development
- Creating endpoints and handling HTTP requests
- Parsing JSON data
- Consuming external APIs
13. Final Projects
- Capstone Project 1: Developing a real-world project using the concepts covered
- Capstone Project 2: Focusing on API and database integration
- Code review and feedback
Earn Your Certificate
On completion, you’ll receive an industry-recognized certificate from YVU – SkillDzire.
Students, IT professionals, engineers, or anyone interested in building a career in
Data Science, Machine Learning, or Artificial Intelligence.
No prior coding or statistics background is required. The course starts with Python and basic statistics,
then gradually moves to machine learning, data visualization, and real-world projects.
The program offers self-paced learning with live mentor sessions to resolve queries
and hands-on training through real-time data science projects and case studies.
Yes, you will get an industry-recognized certificate from YVU – SkillDzire
upon successful completion of the Data Science program.
Yes, we provide placement support with resume building, interview preparation,
and access to job opportunities in Data Science, AI, and Analytics domains.
Python Course Final Projects
Capstone Project 1
Develop a real-world project using the concepts covered throughout the Python course.
Capstone Project 2
Focus on API development and database integration to build a robust Python application.
Code Review & Feedback
Receive detailed code review and constructive feedback to improve coding practices and application design.
Career Outcomes
Data Analyst
Salary Range: ₹4–8 LPA
Machine Learning Engineer
Salary Range: ₹6–12 LPA
Data Scientist
Salary Range: ₹8–15 LPA
What Our Students Say
“The Data Science program gave me strong foundations in Python, statistics, and data visualization.
I worked on real datasets and soon landed my first role as a Data Analyst.”
– Neha, Infosys
“Machine learning projects and hands-on practice with tools like Pandas, NumPy, and Scikit-learn
helped me transition into an ML Engineer role with confidence.”
– Arjun, TCS