Python for Data Analytics: Zero to Hero Masterclass
A comprehensive, hands-on live masterclass breaking down Python fundamentals, real-world data manipulation with Pandas, exploratory data analysis, and building actionable predictive models.
What You Will Learn
Python Data Structures & Environment Setup (Google Colab)
Data Manipulation & Filtering with Pandas & NumPy
Handling Missing Values, Data Formatting & Feature Transformations
Exploratory Data Analysis (EDA) & Visual Storytelling with Seaborn
Live Q&A, Case Study Walkthrough & Community Challenge
Program Overview
About This Masterclass
Mastering Python for data analytics is the single most valuable foundational skill for aspiring data analysts, machine learning engineers, and technical professionals looking to make data-driven decisions.
In this intensive 2.5-hour live session, Segun Umoru will guide you through practical, real-world datasets — moving from raw data wrangling to insightful visual storytelling and introductory predictive modeling.
Prerequisites
- No prior coding experience required — we start from the fundamental building blocks.
- A computer with internet access and a Google account to use Google Colab.
Session Format
- Part 1: Live interactive breakdown of core syntax, Pandas data structures, and cleaning messy real-world CSV/Excel datasets.
- Part 2: Exploratory Data Analysis (EDA) and plotting intuitive visual charts.
- Part 3: Live Q&A and community project roadmap.
After the masterclass
Ready to go from analysis to shipping AI systems?
This masterclass covers the foundations. The AI Engineering Bootcamp is the full path: 11 intensive weekends, 110 contact hours, 6 projects and a production capstone you present publicly at Demo Day.
- LLMs and RAG
- AI agents
- Fine-tuning
- MLOps and deployment
- AI system design
Instructor: Segun Umoru
Lead AI & Machine Learning Engineer · Host of Crunch Brunch with Data
Delivering real-world industry engineering experience directly into your workflows.