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.
Qu’allez-vous apprendre ?
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
Contenu du cours
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.