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jypi

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Python for Data Science, AI & Development

Hands-on Python course covering data science, AI, and software development—NumPy, pandas, scikit-learn, PyTorch, APIs, and deployment with practical projects.

Data Science & Analytics · Intermediate

Free · Self-paced · Certificate included

Python for Data Science, AI & Development

About this course

Build real-world expertise in Python across data science, AI, and modern software development. This hands-on course moves from core Python and idiomatic data manipulation through numerical computing, pandas analytics, cleaning and feature engineering, and effective visualization. You will strengthen statistical intuition, practice end-to-end machine learning with scikit-learn, and step into deep l...

What you'll learn

  • Write idiomatic, tested Python for data workflows and production services
  • Perform numerical computing with NumPy and efficient array operations
  • Clean, transform, and engineer features using pandas and best practices
  • Create clear, effective visualizations and data-driven narratives
  • Apply core statistics and probability to inform model choices and evaluation
  • Build, tune, and validate end-to-end ML pipelines with scikit-learn
  • Develop and train deep learning models (CNNs, RNNs, transformers) in PyTorch
  • Work with files, web APIs, and databases to acquire and stream data
  • Package, version, and deploy models and services using FastAPI and containers
  • Ensure reproducibility, experiment tracking, and basic model monitoring

Prerequisites

Basic programming familiarity (variables, control flow) and comfortable with algebra; ready to install Python tooling.

Level
Intermediate· Level
Duration
12 weeks· Duration
Language
English· Language
Modules
10· Modules

Skills you'll gain

  • Python programming
  • NumPy
  • pandas
  • Data cleaning & feature engineering
  • Data visualization
  • Statistical inference
  • Machine learning (scikit-learn)
  • Deep learning with PyTorch
  • API development (FastAPI)
  • Containerization & deployment (Docker)
  • Testing & reproducible workflows
  • Model evaluation & monitoring

What you'll study

10 modules — work at your own pace.

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“My degree didn't cover half the stuff I needed for my role. jypi filled those gaps with courses I could actually finish.”

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