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Learning Path

Non-Linear: Random Order

About the Course

Course Objectives

A Python course aims to:

  • Equip students with the ability to write efficient and effective Python code.

  • Introduce fundamental programming concepts and problem-solving techniques.

  • Develop an understanding of Python's standard libraries and frameworks.

  • Provide hands-on experience through projects and practical applications.

Learning Objectives

By the end of the course, students will be able to:

  1. Understand Python syntax and semantics.

  2. Write and debug Python programs.

  3. Utilize Python for data manipulation and analysis.

  4. Implement object-oriented programming concepts in Python.

  5. Use Python libraries for web development, data science, and automation.

Skills Development

The course enhances various skills, including:

  • Programming Proficiency: Writing clean and efficient code.

  • Problem-Solving: Developing logical thinking and troubleshooting abilities.

  • Data Handling: Manipulating and analyzing data using Python libraries.

  • Web Development: Building web applications with frameworks like Django and Flask.

  • Automation: Automating tasks and workflows with Python.

  • Machine Learning: Using Python libraries like TensorFlow and Scikit-learn for AI and machine learning projects.

Career Path

Knowledge of Python opens up numerous career opportunities, such as:

  • Software Developer: Building applications and software solutions.

  • Data Scientist: Analyzing and interpreting complex data sets.

  • Machine Learning Engineer: Developing and deploying machine learning models.

  • Web Developer: Creating dynamic and interactive websites.

  • Automation Engineer: Designing and implementing automated solutions.

  • DevOps Engineer: Managing and automating infrastructure using Python scripts.

.

Course Study Materials
Introduction to Python and Setup
  • Overview of Python and its applications
  • Installing Python and setting up the development
  • Using Python interactive shell and IDEs
  • Basics of Python Duration:
  • Installing Python Duration:
  • Real World applications of Python Duration:
  • Unit 1 Test 5 Questions
Python Basics
  • Variables and data types
  • Basic operators and expressions
  • Input and output operations
  • Comments and code formatting
  • variables and data types Duration:
  • Arithmetric Operators Duration:
  • Comments in Python Duration:
  • Unit 2 Test 5 Questions
Control Structures
  • Conditional statements
  • Loops
  • Break, continue, and pass statements
  • List comprehension
  • The if-elif-else Statement in Python Duration:
  • Break, continue, and pass statements in Python Duration:
  • List Comprehension in Python Duration:
  • Unit 3 Test 5 Questions
Functions and Modules
  • Defining and calling functions
  • Function arguments and return values
  • Lambda functions
  • Creating and importing modules
  • defining and calling functions Duration:
  • Functions and arguments in Python Duration:
  • Lambda Functions in Python Duration:
  • Unit 4 Test 5 Questions
Data Structures
  • Lists and list operations
  • Tuples and sets
  • Dictionaries and their methods
  • Strings and string manipulation
  • Python string manipulation Duration:
  • Tuples and sets in Python Duration:
  • Lists in Python Duration:
  • Unit 5 5 Questions
File Handling and Exception
  • Reading from and writing to files
  • Working with CSV and JSON files
  • Try-except blocks for error handling
  • Raising and handling exceptions
  • Reading and Writing Files Duration:
  • CSV and JSON files in python Duration:
  • Raising and Handling Duration:
  • Unit 6 5 Questions
Object-Oriented
  • Classes and objects
  • Inheritance and polymorphism
  • Encapsulation and abstraction
  • Magic methods and operator overloading
  • Inheritance and Python Duration:
  • Encapsulation Duration:
  • Magic Methods and Operator Overloading Duration:
  • Unit7 5 Questions
Working With Python
  • Introduction to pip and package management
  • Overview of standard library modules
  • Working with date and time
  • Regular expressions with re module
  • Pip - An in-depth look at the package Duration:
  • Working with Date and time in Python Duration:
  • Regular expressions with re module Duration:
  • Unit 8 test 5 Questions
Python for Data
  • Introduction to NumPy for numerical computing
  • Pandas for data analysis
  • Basic data visualization with Matplotlib
  • Numpy Methods in Python Duration:
  • Pandas Tutorial Duration:
  • Basic Data Visualization Duration:
  • Unit 9 test 5 Questions
Python for Web Development Basics
  • Introduction to web frameworks
  • Creating a simple web application
  • Handling HTTP requests and responses
  • Flask _Authentication,_Databases Duration:
  • Requests Tutorial_ Request Web Pages Duration:
  • Python Web Framework Django Duration:
  • Unit 10 Test 5 Questions
Python for Automation and Scripting
  • Writing scripts for system administration tasks
  • Automating file operations
  • Web scraping basics with Beautiful Soup
  • Python Scripting for Automation Duration:
  • File and Folder Operations automation Duration:
  • Web Scraping Using BeautifulSoup Duration:
  • Unit 11 5 Questions
Best Practices and Code Optimization
  • PEP 8 style guide
  • Code organization and documentation
  • Performance optimization techniques
  • Debugging tools and techniques
  • The Prettiest Way to View the PEP 8 Duration:
  • Python performance with multiprocessing Duration:
  • Debugging and Testing Techniques in Python using PDB Duration:
  • Unit 12 5 Questions
Version Control With Git
  • Basic Git commands
  • Creating and managing repositories
  • Collaborating with others using Git
  • Git Pycharm Duration:
  • Managing Python Projects Duration:
  • Unit 13 5 Questions
Introduction to Testing in Python
  • Unit testing with unittest framework
  • Writing and running test case
  • Test-driven development concepts
  • Unit Testing Your Code with the unittest Module Duration:
  • Unit Testing With PyTest Duration:
  • Unit 14 5 Questions
Final Assessment
  • Final Assessment 15 Questions

The certificate issued for the Course will have

  • Student's Name
  • Photograph
  • Course Title
  • Certificate Number
  • Date of Course Completion
  • Name(s) and Logo(s) of the Certifying Bodies
  • .

    Only the e-certificate will be made available. No Hard copies. The certificates issued by Odisha State Open University, Sambalpur. can be e-verifiable at www.ulektzskills.com/verify.

    • Students will be assessed both at the end of each module and at the end of the Course.
    • Students scoring a minimum of 50% in the assessments are considered for Certifications
    certificate
...
₹498
Features:
  • 90 hours Learning Content
  • 100% online Courses
  • English Language
  • Certifications

Course

Registration opens on 04-02-2019

Course

Your registration details are under review. It should take about 1 to 2 working days. Once approved you will be notified by email and then you should be able to access the course.

Course Approved

Approval Pending - In-Progress

Course access details will be shared within 24 hours.
For help contact: support@ulektz.com

Course Enrollment

Course

Course starts on 05-01-2025

Course

You have completed 6 hours of learning for 28-06-2025. You can continue learning starting 29-06-2025.

Course

This course can only be taken in sequential order.

Course

You have completed the course. You will be notified by email once the certificate is generated.

Course

Are you sure want to enroll this course?.

Course

Course

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Result Summary

Python Programming