4.9(2681)

Why us?

  • Hands-on Projects
  • Real-world problem solving
  • Blockchain enabled certificate

Python for Data Science With Gen AI

Confidently apply Python in data science, mastering core concepts, essential data structures, and powerful packages.

  • 100% Online
  • Difficulty: Intermediate
  • Taught in English
  • Mandatory Project
  • 8 hours weekly, over 8 weeks
  • UNP Education
4.9(2681)

Why us?

  • Hands-on Projects
  • Real-world problem solving
  • Blockchain enabled certificate

About the Course

Build a Strong Foundation in Python & Launch Your Data Journey — Now Powered with GenAI

Ready to start your data science journey but don’t know where to begin? This course is your perfect first step — a beginner-friendly, hands-on introduction to Python programming with a direct path toward data science. Learn Python from scratch, explore real-world datasets, and gain job-ready skills — all while using Generative AI tools like ChatGPT, Gemini, and Copilot to enhance your coding, debugging, and learning experience.

This course offers a complete introduction to Python with a special focus on its use in data science and analytics. You'll start with the basics of coding and progressively move to advanced data handling, visualization, and machine learning concepts. Designed with real-world application in mind, the course ends with capstone projects where you apply everything you've learned to real datasets — using GenAI tools to boost your efficiency and creativity.

What you'll Learn

  • Core Python programming: variables, loops, conditions, and strings.
  • Advanced Python concepts: functions, dictionaries, OOP, and more.
  • Data manipulation with Pandas — clean, transform, and explore data.
  • Data visualization using Matplotlib & Seaborn.
  • Statistical techniques for data analysis & interpretation.
  • Introductory machine learning concepts & workflows.
  • How to work with real-world datasets from various domains.
  • Using AI tools like Copilot & ChatGPT to accelerate learning and project execution.

Who should take this Course

  • Complete beginners with no coding or data background.
  • Anyone looking to learn Python for data science or analytics.
  • Students or professionals making a career switch into data-driven roles.
  • Learners seeking a practical and project-based Python foundation.
  • Those interested in using AI-enhanced workflows from Day 1.

What You’ll Get from This Course

  • Job-ready Python skills tailored for data analysis and science.
  • Hands-on experience with real-world projects to showcase in your portfolio.
  • Live, interactive sessions and 1-on-1 doubt-clearing support.
  • Introduction to AI-assisted coding tools for learning smarter and faster.
  • Industry-recognized, blockchain-enabled certificate.
  • Lifetime access to course videos, resources, and future updates.

Capstone Projects by Our Students

Data Vizualization

VKCreated by: Virat Kohli

UNP New Project Title 131023

CCreated by: C

FIFA World Cup Data Analysis

ASCreated by: Anup Sharma

FIFA World Cup 2022 Tweets

Created by:

FIFA World Cup Data Analysis

Created by:

FIFA World Cup 2022 Tweets

Created by: Niki roy koy

FIFA World Cup 2022 Tweets

RSCreated by: Rishi Sapta

US Pollution

RSCreated by: Rishi Sapta

US Pollution

Created by: Arnab Ray

FIFA World Cup 2022 Tweets

Created by: Arnab Ray

Meet Your Instructors

Amar VajjhalaCEO@unp.education | Making progress toward SDG4

Amar has diverse professional experience in education, finance, analytics, and entrepreneurship. He is mission-oriented and excels in developing and launching products from the ground up using emerging technologies and business models.

Frequently Asked Questions

Yes, all our sessions are conducted live to ensure an interactive learning experience.

No programming experience needed. Just come with a passion to learn.

Contact Us

Emaillearn@unp.education
Call Us+1.929.288.1787 (USA)
+91.800.829.1301 (India)

Course Content

  • 1.1. Welcome note & Intro to python
  • 1.2. Intro to Colab
  • 1.3. Intro to GitHub
  • 1.4. Print & Comment in Python
  • 1.5. Using Gen AI to Learn Python Basics and Debug Code in Google Colab

  • 3.1. Variables & Assignment Operators in Python
  • 3.2. Understanding Data Types in Python
  • 3.3. Understanding Expressions in Python
  • 3.4. Arithmetic & Assignment Operators in Python
  • 3.5. Relational/Comparison Operators in Python
  • 3.6. Logical Operators in Python
  • 3.7. Identity & Membership operators, type
  • 3.8. Using Gen AI to Master Python Datatypes, Operators, and Expressions
  • 3.9. User Input
  • 3.10. Python - Quiz

  • 4.1. Conditional Statements with Logical Operators in Python
  • 4.2. Using If-elif-else Statements in Python
  • 4.3. Switch Case in Python
  • 4.4. Comparisons & Conditional Statements - Quiz
  • 4.5. Using Gen AI to Practice and Understand Python Conditionals

  • 5.1. For Loop
  • 5.2. While Loops in Python
  • 5.3. Understanding Do-While Loop in Python
  • 5.4. Break and Continue Statements in Python
  • 5.5. Using Gen AI to Generate Loop-Based Solutions and Visual Aids
  • 5.6. Looping Statements - Quiz

  • 6.1. Introduction to Functions & Pass Statements in Python
  • 6.2. Working with Function Arguments in Python
  • 6.3. Functions with Return Types in Python
  • 6.4. Understanding Local and Global Variables in Python
  • 6.5. Lambda Functions in Python
  • 6.6. Using Gen AI to Design, Debug, and Document Python Functions
  • 6.7. Functions - Quiz

  • 7.1. Creating Strings in Python
  • 7.2. Understanding Strings as Arrays in Python
  • 7.3. Looping Through Strings in Python
  • 7.4. Mastering String Manipulation in Python
  • 7.5. Essential String Operations in Python
  • 7.6. Exploring Useful String Methods in Python
  • 7.7. Using Gen AI to Manipulate and Analyze Strings Effectively
  • 7.8. String - Quiz

  • 8.1. Introduction to Lists in Python
  • 8.2. Iterating Through List Items in Python
  • 8.3. Exploring List Properties in Python
  • 8.4. Mastering List Manipulation in Python
  • 8.5. Exploring List Methods in Python
  • 8.6. Using Gen AI to Explore List Operations and Solve Practical Problems

  • 9.1. Tuple Basics - Part 1: Introduction to Tuples in Python
  • 9.2. Tuple Basics - Part 2: Exploring Advanced Tuple Operations in Python
  • 9.3. Mastering Tuple Operations in Python
  • 9.4. Exploring Tuple Methods and Operations in Python
  • 9.5. Using Gen AI to Work with Python Tuples and Immutable Data
  • 9.6. Lists & Tuples - Quiz

  • 10.1. Introduction to Dictionaries in Python
  • 10.2. Mastering Dictionary Operations in Python
  • 10.3. Looping in Python Dictionaries
  • 10.4. Essential Dictionary Methods in Python
  • 10.5. Using Gen AI to Visualize and Work with Python Dictionaries
  • 10.6. Dictionary - Quiz

  • 11.1. Understanding Sets in Python
  • 11.2. Exploring Set Operations and Looping in Python
  • 11.3. Set Operations in Python
  • 11.4. Exploring Set Methods in Python
  • 11.5. Using Gen AI to Explore Set Operations and Applications

  • 12.1. Using Gen AI to Write Efficient NumPy Code and Analyze Arrays

  • 13.1. Using Gen AI for Efficient Data Wrangling and Analysis with Pandas

  • 14.1. Using Gen AI to Design Custom Visualizations with Matplotlib

Upcoming Batches

There is no upcoming batch available
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