Python for Data Science
This skill tree guides learners from Python fundamentals through the core libraries and techniques used in professional data science workflows. It covers data manipulation, visualization, statistical analysis, and introductory machine learning. It is designed for beginners with little or no programming experience who want to build practical data skills.
Topic: Python
Skills in this learning roadmap
- Jupyter Notebooks
- Control Flow & Functions
- Python Data Structures
- NumPy Arrays
- Pandas DataFrames
- File I/O & Data Formats
- Matplotlib Visualization
- Seaborn Statistical Plots
- Exploratory Data Analysis
- Statistics & Probability
- Python Basics
- Data Cleaning & Feature Engineering
- Scikit-learn & ML Fundamentals
- Model Selection & Tuning
- Data Pipelines & Reproducibility
Explore the interactive map, then copy it to your account to start learning.