Data Science Foundations

About Course

Learn the complete data science workflow from collecting and cleaning data to analyzing trends and building predictive models. This beginner-friendly course introduces Python, data visualization, statistical thinking, and machine learning through practical projects that mirror real-world business and research scenarios.

Author
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Hemant Bhatt

Chief Mentor at Oracle IAS

Hemant Bhatt is a B. Tech from Pantnagar University and has studied Social Sciences at SciencesPo, Paris. He teaches at Oracle IAS, Dehradun. He has given 5 UPSC mains back to back along with 2 interviews.
He is a bibliophile,accomplished writer and a fitness enthusiast.

Course Content

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Introduction to Python
Working with Data Structures
Introduction to Pandas
Python Fundamentals
Pandas & Data Structures

Data Science Foundations

About Course

What Will You Learn?

Course Content

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Introduction to Python

Working with Data Structures

Introduction to Pandas

Python Fundamentals

Pandas & Data Structures

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Handling Missing Data

Data Visualization Fundamentals

Using Matplotlib and Seaborn

Data Cleaning

Visualization Assessment

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.

What Is Machine Learning?

Supervised vs Unsupervised Learning

Building Your First Model

Machine Learning Basics

Model Building Assessment

About Course

What Will You Learn?

Course Content

Python for Data Analysis Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Introduction to Python

Working with Data Structures

Introduction to Pandas

Python Fundamentals

Pandas & Data Structures

Data Cleaning & Visualization Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Handling Missing Data

Data Visualization Fundamentals

Using Matplotlib and Seaborn

Data Cleaning

Visualization Assessment

Introduction to Machine Learning Understand how machines learn from data and build your first predictive models.

What Is Machine Learning?

Supervised vs Unsupervised Learning

Building Your First Model

Machine Learning Basics

Model Building Assessment

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.