Data Science Foundations

LevelBeginner

Duration 10h

About this 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.

Write Python code for data analysis
Clean and prepare datasets
Analyze data using Pandas
Create effective visualizations
Understand statistical concepts
Build basic machine learning models
Interpret and communicate insights
Complete end-to-end data projects

Course Contents

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

Introduction to Python

01:34
Working with Data Structures

00:00
Introduction to Pandas
Python Fundamentals
Pandas & Data Structures

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.

Level:Beginner

Enrolled:4

Course Duration: 10h

Data Science Foundations

Material Includes

About this Course

What I will learn?

Course Contents

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

Requirements

Target Audience

Material Includes

Requirements

Target Audience

About Our College

Main Events

Contact

Phone Number

Email Address

Locations

Data Science Foundations

Material Includes

About this Course

What I will learn?

Course Contents

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

Requirements

Target Audience

Material Includes

Requirements

Target Audience

About Our College

Main Events

Contact

Phone Number

Email Address

Locations

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.