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Python for Beginners

SAT Score Range

•

6 sessions

•

+2

This series ended on June 19, 2025. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Pre-requisites:
1) Install VS Code for app development
2) Use Google Colab for data analysis
3) Have a Gmail account (to access Google Colab)

This beginner-friendly course introduces students to Python programming, focusing on real-world applications. The first half covers core programming concepts. The second half dives into data handling and app building, especially relevant for commerce and business students.



Tutored by

D K 🇮🇳

Certified in 1 topic

View Profile

Hi everyone, I'm a high school student in my private high school. I enjoy chemistry and computer science(I've been coding for around 7 years and look forward to learning more!).

Schedule

✋ ATTENDANCE POLICY

Each session builds on the previous one. Consistent attendance is important, as missing a session can make it difficult to stay on track.

Students are expected to attend all sessions. If you anticipate being absent, please inform the instructor at least 24 hours in advance. One excused absence is permitted, provided the student contacts the instructor within 24 hours after the missed session to complete a makeup task. Multiple absences may result in removal from the course to ensure a productive learning environment for all participants.

SESSION 1

14

Jun

SESSION 1

Python

Python

Sat 9:30 AM - 10:30 AM UTCJun 14, 9:30 AM - 10:30 AM UTC

Session 1: Getting Started with Python
An introduction to Python, Google Colab, and writing your first lines of code. Learn how to work with basic data types, variables, and user input to build simple programs.
SESSION 2

15

Jun

SESSION 2

Python

Python

Sun 9:30 AM - 10:30 AM UTCJun 15, 9:30 AM - 10:30 AM UTC

Session 2: Logic and Loops
Understand how to make decisions in your code using if statements and repeat tasks using loops. Apply these concepts to real-life problems like discounts or tax brackets.
SESSION 3

16

Jun

SESSION 3

Python

Python

Mon 10:00 AM - 11:00 AM UTCJun 16, 10:00 AM - 11:00 AM UTC

Session 3: Functions
Find out how to make your code cleaner and easier by using functions. This session will help you avoid repeating yourself and write programs in a simpler way.
SESSION 4

17

Jun

SESSION 4

Python

Python

Tue 8:00 AM - 9:00 AM UTCJun 17, 8:00 AM - 9:00 AM UTC

Session 4: Exploring Data with Pandas
Start working with real-world data using the Pandas library in Google Colab. Learn how to read CSV files, organize your data into tables, and explore simple patterns like income, expenses, or product sales.

SESSION 5

18

Jun

SESSION 5

Python

Python

Wed 1:30 PM - 2:30 PM UTCJun 18, 1:30 PM - 2:30 PM UTC

Session 5: Making Sense of Numbers
Take your data analysis further by calculating totals, averages, and filters. Learn how to clean up messy data and answer useful questions like “Which product sold the most?” or “Where are we spending the most money?”. Learn about visual representation of data through python.


SESSION 6

19

Jun

SESSION 6

Python

Python

Thu 1:30 PM - 2:30 PM UTCJun 19, 1:30 PM - 2:30 PM UTC

Session 6: Final Project – Bring It All Together
In this session, you’ll build a mini project using everything you’ve learned. You’ll choose a simple real-world dataset (like expenses, sales, or product data), analyze it using Pandas, and create basic charts to present your insights. This is your chance to apply your skills from start to finish—reading data, cleaning it, analyzing patterns, and visualizing results.



Public Discussion

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Jun 14 - Jun 19

1 week

60 mins

/ session

SCHEDULE

Saturday, Jun 14

9:30AM

Sunday, Jun 15

9:30AM

Monday, Jun 16

10:00AM

Tuesday, Jun 17

8:00AM

Wednesday, Jun 18

1:30PM

Thursday, Jun 19

1:30PM