uLektz Skills

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:

Understand Python syntax and semantics.
Write and debug Python programs.
Utilize Python for data manipulation and analysis.
Implement object-oriented programming concepts in Python.
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
Unit 1 Test 5 Questions

Python Basics

Variables and data types
Basic operators and expressions
Input and output operations
Comments and code formatting
For Reference: How to go about programming? Duration:
Unit 2 Test 5 Questions

Control Structures

Conditional statements
Loops
Break, continue, and pass statements
List comprehension
For Reference: Introduction to SCRATCH Duration:
Unit 3 Test 5 Questions

Functions and Modules

Defining and calling functions
Function arguments and return values
Lambda functions
Creating and importing modules
For Reference: Loops Duration:
Unit 4 Test 5 Questions

Data Structures

Lists and list operations
Tuples and sets
Dictionaries and their methods
Strings and string manipulation
For Reference: Solution to Looping 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
For Reference: Installation of Anaconda Duration:
Unit 6 5 Questions

Object-Oriented

Classes and objects
Inheritance and polymorphism
Encapsulation and abstraction
Magic methods and operator overloading
For Reference: Executing a sequence of instructions in the Console 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
For Reference: Motivation to if condition Duration:
Unit 8 test 5 Questions

Python for Data

Introduction to NumPy for numerical computing
Pandas for data analysis
Basic data visualization with Matplotlib
For Reference: Importance of Syntax 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
For Reference: Introduction to While loop 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
For Reference: Manipulation 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
For Reference: Operations Duration:
Unit 12 5 Questions

Version Control With Git

Basic Git commands
Creating and managing repositories
Collaborating with others using Git
For Reference: Program and Play Duration:
Unit 13 5 Questions

Introduction to Testing in Python

Unit testing with unittest framework
Writing and running test case
Test-driven development concepts
For Reference: Unit Testing Your Code 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 S. 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