Data Science with Python: Complete Guide
Intermediate
Data Science
Free

Data Science with Python: Complete Guide

From data wrangling to machine learning pipelines, this course covers everything you need to become a data scientist. Hands-on projects with real-world datasets included.

2 modules6 lessons38h 15m
5 Videos
1 Exercise
SD

StackDive Team

Codebase Comprehension Platform

Free

6 lessons · 38h 15m

What you'll learn

Wrangle and clean messy real-world datasets with Pandas
Build compelling data visualizations with Matplotlib and Seaborn
Implement and evaluate machine learning models with Scikit-learn
Conduct exploratory data analysis to derive actionable business insights
Build end-to-end data pipelines from ingestion to reporting

How do you want to learn this?

Choose your learning style and we'll customize the course content for you.

Course content

2 modules · 6 lessons

Python Refresher
Video
20:00
NumPy Fundamentals
Video
25:00
Pandas DataFrames
Video
30:00

Prerequisites

  • Basic Python programming knowledge
  • Understanding of fundamental statistics (mean, median, standard deviation)
  • Comfort working in Jupyter Notebooks or similar environments

About the instructor

SD

StackDive Team

Codebase Comprehension Platform

StackDive helps developers understand real-world codebases through guided walkthroughs, interactive terminals, and AI-powered tutoring.

Topics covered

Python
Pandas
NumPy
Scikit-learn
Free course