Applied Data Science with Python and Hugging Face-Driven Generative AI

Description

📅 Published: September 2025
🎓 Created by: Orants AI, Reza Mora
🎥 Format: MP4 | Video: H.264, 1280×720 | Audio: AAC, 44.1 kHz, Stereo
🌍 Language: English | 🕒 Duration: 14 Lectures (1h 29m) | 💾 Size: 1.53 GB
📈 Level: Beginner | 🧠 Category: eLearning / Data Science & AI

---

🔍 From Raw Data to AI-Powered Insights: Build Modern Analytics Pipelines with Python & Transformers

Harness the power of Generative AI and Transformers to transform messy, unstructured data into meaningful, automated insights.

In this beginner-friendly yet practical course, you’ll learn how to build a modern data analytics pipeline using Python, Hugging Face Transformers, and Large Language Models (LLMs)—tools that are reshaping the future of data science.

Whether you’re just getting started or looking to modernize your analytics skills with AI, this course will help you build a real-world, automation-ready workflow from scratch.

---

✅ What You’ll Learn

• 🤖 Foundations of Generative AI in Data Science
  Understand how GenAI is used to automate analysis, generate synthetic data, and enhance data workflows.

• 🧠 Text Analytics with Hugging Face Transformers
  Apply pre-trained transformer models to perform sentiment analysis, keyword extraction, and text summarization.

• 🔧 Build an End-to-End Analytics Pipeline
  Learn how to:

  • Clean and prepare raw data

  • Analyze sentiment using Transformers

  • Summarize reports using LLMs

  • Automate report generation and validation with Python

• 🧪 Evaluate AI Outputs and Maintain Data Integrity
  Learn how to critically assess results, manage limitations, and ensure high-quality AI-driven insights.

• ⚖️ Ethical AI Practices
  Explore the ethical concerns and best practices when applying generative models in data science, including bias, transparency, and data privacy.

---

🧰 Requirements

• 🔹 Basic knowledge of Python programming

• 🔹 Familiarity with Jupyter Notebooks or similar environments

• 🔹 An understanding of AI language models (e.g., what LLMs are)

• 🔹 Basic understanding of data structures and manipulation using pandas

📝 This course is designed to be accessible for beginners, with all concepts explained clearly and practically.

---

👨‍🏫 Who This Course is For

• Aspiring data analysts and data scientists

• Beginners looking to explore AI-powered data workflows

• Professionals who want to automate reporting and insight generation

• Students interested in practical applications of LLMs in data science

---

🧰 Tools & Libraries You’ll Use

• Python

• Hugging Face Transformers

• Pandas

• Jupyter Notebooks

• LLMs for summarization (e.g., OpenAI or Hugging Face models)

---

Generative AI is changing how we analyze and interact with data. With just a bit of Python and the right tools, you can automate complex tasks, uncover powerful insights, and build analytics systems that think like humans.

🎯 Let’s turn raw data into real intelligence—join us and start building your AI-powered pipeline today!