Data Analytics with Python & AI

Data Analytics with Python & AI

Master pandas, EDA, Machine Learning & AI-Powered Analysis. Build a Job-Ready Portfolio for Data Analyst Roles



Sub Category

  • Data Science

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Objectives

  • Set up a professional Python data analytics environment and write pandas code to load, clean, filter, and reshape real-world datasets with confidence
  • Perform end-to-end Exploratory Data Analysis (EDA) using descriptive statistics and Seaborn visualizations to uncover actionable business insights from raw data
  • Build, evaluate, and interpret supervised machine learning models — including Linear Regression, Logistic Regression, and Decision Trees
  • Integrate the Anthropic AI API into a Python workflow to generate data summaries, debug code, and produce executive ready insights
  • Create interactive, filterable business dashboards using Plotly and Dash and automate scheduled PDF and HTML reports delivered via email with zero manual steps


Pre Requisites

  1. No prior Python or programming experience required — this bootcamp starts from absolute zero and builds every skill step by step from the first lecture
  2. A laptop or desktop computer with at least 8GB of RAM and a stable internet connection — all software and tools used in this course are free to download and install
  3. A free Anthropic account for the AI integration modules in Day 4 — setup instructions and a step-by-step walkthrough are provided inside the course before you need it
  4. A willingness to code alongside every lecture — students who type the code rather than just watch it complete the capstone project


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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