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6 months. 160 blocks. 21 libraries. Zero fluff.

Everything I know about Python for data science, structured into one place.

Most courses teach you syntax. Python Mastery teaches you how to build thingsโ€”data pipelines, ML APIs, NLP apps, computer vision systems, and automated ETL workflows.

Every 30-minute block:

Conceptโ†’Worked Examplesโ†’Sandboxed Exerciseโ†’Homework

You code every single day across 16 structured weeks.

5-part curriculum

Part I Wk 1โ€“4

Python core, NumPy, Pandas, Matplotlib & Seaborn

Part II Wk 5โ€“8

File pipelines, REST APIs, Flask, FastAPI, scikit-learn ML

Part III Wk 9โ€“12

SciPy, Statistics, NLP with spaCy & Transformers, OpenCV

Part IV Wk 13โ€“14

SQLAlchemy, Dask, ETL, pytest, Selenium

Part V Wk 15โ€“16

Capstone project โ€” build, package, present

Three ways to join

Self-paced

$497 early bird $399

Perfect for self-motivated learners with flexible schedules.

  • All 160 blocks & materials
  • JupyterLab sandboxed environment
  • 6-month access window
  • Completion certificate

Corporate

from $3,200/learner min 4 people

Built for teams upskilling in data science and ML.

  • Everything in Cohort Live
  • Dedicated instructor & unlimited 1:1 sessions
  • Custom datasets and real company projects
  • Custom-branded certificate
  • Invoice net 30, volume discounts
  • Compressed 8-week option available
Discounts: 20% early bird ยท 25% students ยท 40% non-profits ยท $100 referral credit
5 capstone tracks: EDA report, ML API, NLP web app, computer vision classifier, or data engineering pipeline.
Next cohort starts January 2026. Six starts per year.

Data analyst ready to level up? Scientist who needs to automate? Team lead building ML capability? There is a tier built for your situation.

Explore & Learn

Your structured path through Python Masteryโ€”course materials, research resources, and AI support.

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Python Mastery

Major Libraries Training Course

A Complete 16-Week Program for Data Science, Machine Learning & Scientific Computing

16 Weeks / 160 Blocks 30 min ร— 2 blocks/day, Monโ€“Fri Absolute Beginners Data Science, ML & Scientific Computing

Course Structure

Every 30-minute block follows: Concept โ†’ Examples โ†’ Exercise โ†’ Homework.

Foundations

Weeks 1โ€“4

Python, NumPy, Pandas, Visualization

Working with Data & Web

Weeks 5โ€“8

File I/O, APIs, Web Scraping, Flask, FastAPI, ML

Science, NLP & Vision

Weeks 9โ€“12

SciPy, SymPy, Stats, NLP, Computer Vision

Engineering & Automation

Weeks 13โ€“14

Databases, ETL, Scripting, Testing

Capstone Project

Weeks 15โ€“16

Design, implement, package, present

Weeks

Week 1

Python Foundations & Standard Library

Environment setup, syntax, core data structures, functions

Week 2

NumPy: Arrays & Vectorized Computing

Numerical arrays, vectorization, broadcasting, linear algebra, random

Week 3

Pandas: DataFrames & Data Handling

Series, DataFrame, loading data, cleaning, grouping, merging

Week 4

Visualization: Matplotlib & Seaborn

Line, bar, scatter, histogram, boxplot, subplots, styling, visual EDA

Week 5

File Formats & Data Pipelines

CSV, JSON, XML, Excel, text parsing, regex, cleaning pipelines

Week 6

HTTP, APIs & Web Scraping

requests library, REST APIs, JSON handling, BeautifulSoup, ethics

Week 7

Web Frameworks: Flask & FastAPI

Routing, templates, REST APIs, Pydantic, async basics, deployment concepts

Week 8

Machine Learning with scikit-learn

ML workflow, preprocessing, classification, regression, pipelines, evaluation

Week 9

Scientific Python: SciPy & SymPy

Optimization, integration, statistics, symbolic math, equation solving

Week 10

Practical Statistics for Data Science

Descriptive stats, distributions, correlation, hypothesis testing, confidence intervals

Week 11

NLP: NLTK, spaCy & Transformers

Tokenization, stemming, NER, POS tagging, text classification, Hugging Face

Week 12

Computer Vision with OpenCV

Image representation, transformations, filters, edge detection, contours

Week 13

Databases & Data Engineering

SQLite, SQLAlchemy ORM, ETL pipelines, Dask for large data

Week 14

Automation, Scripting & Testing

os/pathlib, subprocess, selenium, logging, pytest, automation scripts

Week 15

Capstone Project: Design & Implementation

Project planning, data acquisition, preprocessing, modeling/analysis, integration

Week 16

Capstone Project: Polish, Package & Present

Packaging, documentation, README, demo, retrospective, deployment concepts

Extended Topics

Dive deeper into visualization, vibe coding, SaaS, DevOps, State of the Art 2026, RL, SLM, robotics, MCP/MQTT, edge computing, swarm tech, wearables, digital health, drug discovery, bioinformatics, and medical imaging AIโ€”applicable across all domains including health and pharma R&D.

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Visualization with Python

Comprehensive guide to data visualization in Pythonโ€”from static charts to interactive dashboards.

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Vibe Coding

AI-augmented developmentโ€”build faster with Copilot, Claude, Cursor, and prompt-driven workflows.

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SaaS Development with Python

Build and ship Software-as-a-Service products: architecture, billing, multi-tenancy, and deployment.

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DevOps with Python

CI/CD, containerization, infrastructure as code, and deployment automation with Python.

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State of the Art 2026

Videos from 2025โ€“2026 on cutting-edge Python: Python 3.14, type hints, asyncio, AI tools, uv/Ruff, and modern workflows.

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State of the Art Reinforcement Learning and Research

Cutting-edge reinforcement learning: DeepMind DiscoRL, DQN, PPO, multi-agent systems, and RL research frontiers 2025โ€“2026.

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State of the Art Proprietary SLM Development and Local Deployment

Run and fine-tune small language models locally: Ollama, LM Studio, vLLM, GGUF, and proprietary SLM workflows for 2025โ€“2026.

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State of the Art Robotics EOS2 and AI

Robotics operating systems, embodied AI, EOS2, simulation, and humanoid robotsโ€”frontiers of robotics research 2025โ€“2026.

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MCP, A2A, ACP, MQTT and Other Protocols

Model Context Protocol (MCP), Agent-to-Agent (A2A), ACP, MQTT, and modern AI/IoT protocols for 2025โ€“2026.

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Hybrid Cloud and Edge Computing

Hybrid cloud, edge computing, Kubernetes at the edge, AWS Outposts, Azure Arc, and distributed AI deployment 2025โ€“2026.

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Swarm Robotics

Swarm intelligence, multi-agent coordination, emergent behavior, and swarm robotics research 2025โ€“2026.

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Drone and Missile Swarms

Autonomous drone swarms, UAV coordination, missile swarm systems, and defense/civilian applications 2025โ€“2026.

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State of the Art Wearables and Health Monitoring

Smartwatch and wearable data analysis: Apple Health, Fitbit, sensor streams, activity recognition, sleep quality, and real-time health dashboards 2025โ€“2026.

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Digital Health and Precision Medicine

EHR analysis, clinical decision support, genomics-informed care, telemedicine platforms, and healthcare AI applications 2025โ€“2026.

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Computational Drug Discovery and Pharma R&D

AI-driven drug discovery: DeepChem, RDKit, molecular ML, virtual screening, clinical trials analytics, and regulatory workflows 2025โ€“2026.

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Bioinformatics and Genomics

RNA-seq, variant calling, gene expression, sequence analysis, and computational biology with Python 2025โ€“2026.

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Medical Imaging AI and Diagnostics

Radiology AI, pathology imaging, DICOM/NIfTI processing, segmentation, and diagnostic models with PyTorch and MONAI 2025โ€“2026.

Resources & Tools