Python Course for Kids | VephlaUni ®

About this course

You will start by learning Python basics, including data types, control structures, and functions. Then, you will delve into Pandas to perform data manipulation, cleaning, and analysis. With hands-on projects and real-world datasets, you will gain practical experience in handling data, performing exploratory data analysis (EDA), and visualizing results.

By the end of this course, you will be equipped with the skills to analyze complex datasets efficiently and make data-driven decisions across various domains. Join us to elevate your data analysis skills and embark on your journey in the data science field!

Requirements

No prior skill prerequisites - this is a complete beginner track
A laptop (Mac, Windows, or Linux)
A stable internet connection for live classes and downloads
Dedication and time

Course curriculum — 5 modules

Module 1

Introduction to Python

Introduction to Python: Overview and setup
Jupyter Notebooks / Anaconda: Installation, features, and usage
Variables in Python: Declaring and using variables
Variable Best Practices: Guidelines for naming conventions and usage
Camel Case (camelCase), Pascal Case (PascalCase), Snake Case (snake_case)
String Concatenation: Combining strings in Python
Variables for Arithmetic: Using variables in mathematical operations
Multiple Variables Assignment: Assigning values to multiple variables simultaneously
Print Statements: Outputting data to the console
String Merging with Variables: Embedding variables inside strings

Module 2

Data Types in Python

Numeric Data Types: Integers, Floats, Complex numbers
Sequence Data Types: Strings, lists, tuples
Boolean Data Type: True and False values
Set Data Type: Definition and operations
Dictionary Data Type: Key-value pairs
Best Practices for Data Types: Efficient and appropriate usage
List Data Types: Creation, manipulation, and indexing
Nested Lists: Working with lists within lists
Indexing and Slicing: Accessing elements in sequences
Tuples: Immutable sequences
Sets: Unordered collections of unique elements

Module 3

Control Flow in Python

Comparison Operators: Equality, inequality, greater than, less than
Logical Operators: AND, OR, NOT
Membership Operators: in, not in
Conditional Statements: if, else, elif
For Loops: Iterating over sequences
While Loops: Repeating actions based on a condition
Functions in Python: Defining and using functions

Module 4

Python Projects & Web Scraping

Data Type Conversions: Changing between different data types
Project 1: Building a BMI Calculator
Project 2: Building an Automated File Sorter for File Explorer
Project 3: Web Scraping Basics with HTML
Introduction to BeautifulSoup + Requests
Using find() and find_all() in web scraping

Module 5

Portfolio Project

Final Portfolio Project: Build a comprehensive project showcasing all learned skills, with a focus on real-world applications (e.g., data analysis, web scraping, automation)

Dr. Richards M.

Data Engineer · University of Derby, UK

5.0 · 1,500+ Students

Dr. Richards M. is a skilled Data Analytics professional with a Master's in Big Data Analytics from the University of Derby, UK. He has expertise across various Engineering Tech Stacks, contributing to process optimization and market enhancement for organizations, with a strategic approach focused on business growth and efficiency.

Student reviews

Mrs. Grace O. (Parent)

5.0

Python became his favorite subject!

My son started with no programming experience, but this course made Python easy to understand. He now writes simple programs on his own and was excited to show us the automation project he built.

Mr. Samuel E. (Parent)

4.9

Practical, engaging, and confidence-building

The projects kept my daughter motivated throughout the course. She loved learning web scraping and proudly completed her final portfolio project. It's a fantastic introduction to programming.

Python for Kids

About this course

Requirements

Course curriculum — 5 modules

Student reviews

Checkout other courses