What will you learn in Introduction to Python Course
Understand Python fundamentals: variables, data types, and operators.
Write basic control flow statements:
if/else, loops (for,while).Define and call functions with parameters and return values.
Work with core data structures: lists, dictionaries, and strings.
Read from and write to files using Python’s file I/O operations.
Debug simple scripts using print statements and error messages.
Program Overview
Module 1: Getting Started with Python
⏳ 0.5 hours
Topics: Installing Python and setting up a Jupyter notebook environment.
Hands-on: Open your first notebook and print “Hello, World!”.
Module 2: Variables & Data Types
⏳ 0.5 hours
Topics: Numbers, strings, Booleans, and basic arithmetic and string operations.
Hands-on: Create variables for name, age, and perform simple calculations.
Module 3: Control Flow
⏳ 0.75 hours
Topics:
if/elsestatements, comparison operators, and logical operators.Hands-on: Write a script that grades a numeric score with letter grades.
Module 4: Loops
⏳ 0.5 hours
Topics:
forloops,whileloops, andbreak/continuestatements.Hands-on: Iterate over a list of items and filter out odd numbers.
Module 5: Functions
⏳ 0.5 hours
Topics: Defining functions, parameters, return values, and scope.
Hands-on: Build a function to compute the factorial of a number.
Module 6: Data Structures
⏳ 0.75 hours
Topics: Lists, dictionaries, and basic list/dict comprehensions.
Hands-on: Create a phonebook dict and look up contact numbers.
Module 7: File I/O
⏳ 0.5 hours
Topics: Reading and writing text files, context managers with
with.Hands-on: Read a CSV file of sample data and write filtered output to a new file.
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Job Outlook
Python is one of the most in-demand programming languages for roles such as Junior Developer, Data Analyst, and Automation Engineer.
Entry-level Python skills open doors in web development, data science, scripting, and DevOps, with typical salaries ranging from $60K–$80K USD.
Mastery of Python fundamentals is the first step toward advanced fields like machine learning, backend engineering, and cloud automation.
Explore More Learning Paths
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Related Reading
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Specification: Introduction to Python Course
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FAQs
- No coding experience required.
- Introduces concepts slowly and interactively.
- Uses beginner-friendly examples.
- Walks you through setup and first scripts.
- Perfect entry point for anyone new to programming.
- Total learning time is under 4 hours.
- Divided into small, easy-to-digest modules.
- Includes quick hands-on coding exercises.
- Can be completed in a single weekend.
- Lifetime access allows flexible pacing.
- Create scripts using variables and loops.
- Build a function to calculate factorials.
- Design a simple phonebook dictionary.
- Practice file input/output with CSV data.
- Work on real, runnable Python code.
- Does not cover object-oriented programming.
- Limited focus on modules and packages.
- No in-depth projects beyond small exercises.
- Aimed at giving a strong foundation only.
- Works best as a first step before advanced courses.
- Python is widely used in IT, data science, and automation.
- Opens pathways to roles like Junior Developer or Data Analyst.
- Strengthens technical problem-solving skills.
- Builds confidence to take advanced coding courses.
- Adds a certificate to boost your resume.
