Data Mining for Business Analytics & Data Analysis in Python

Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.
4.71 (368 reviews)
Udemy
platform
English
language
Data & Analytics
category
Data Mining for Business Analytics & Data Analysis in Python
4 087
students
9 hours
content
Jun 2025
last update
$79.99
regular price

Why take this course?

📚 Course Title: Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.

🚀 Course Headline: Unlock the Secrets of Your Data with Python and Master Data Mining for Actionable Business Insights!


🎉 Welcome to an Unparalleled Learning Adventure in Data Science!

Are you eager to master the art of Data Mining using Python? 🧙‍♂️ Do you aspire to transform raw data into goldmines of actionable business insights through the power of data science and explainable artificial intelligence (XAI)? Then you've landed on the perfect course!

Python for Data Analytics & Explainable AI: This comprehensive online course is your golden ticket to becoming a Data Mining expert, designed for professionals who crave to understand and leverage data for strategic business decisions. With my proven experience and hands-on approach, you'll learn the most impactful Data Mining algorithms through Python that will help you interpret complex datasets with ease.


Why Enroll in This Course? 🚀

  1. Intuitive Learning Without the Heavy Math: Say goodbye to the intimidating formulas and Greek alphabet! You'll learn why models work, using language, visuals, and relatable metaphors that make the concepts stick without the need for advanced calculus or statistics.

  2. Cutting-Edge Data Mining Techniques: This course offers a well-curated selection of algorithms based on real-world impact and industry relevance. We'll dive into both supervised and unsupervised machine learning techniques, as well as explore the frontier of Explainable AI, with practical applications such as:

    • Survival Analysis 🏫
    • Cox Proportional Hazard Regression ⏱️
    • CHAID (Chi-squared Automatic Interaction Detection) 📊
    • Gaussian Mixture Model 🌌
    • Principal Component Analysis (PCA) & Manifold Learning 🔬
    • Association Rule Learning 🤖
    • Random Forest, Feature Selection & Importance 🌳
    • Local Interpretable Model-agnostic Explanations (LIME) 🤔
    • eXtreme Gradient Boosting (XGBoost) & SHapley Additive exPlanations (SHAP) 📈
  3. Hands-On Python Coding: We'll write Python code together, with step-by-step guidance through each line of code. You'll learn all parameters and functions necessary to tackle data problems, and leave with a toolkit of Python templates ready for your use. 🐍

  4. Real Practice, Real Mastery: Each section concludes with a challenge where you apply what you've learned on provided datasets. With two case studies per technique, you'll solidify your skills through practical application. This hands-on approach is the key to turning knowledge into expertise. 🛠️


🎓 Your Data Journey Awaits!

I'm thrilled to have the opportunity to guide you through this transformative course. Whether you're a business analyst, data scientist, or simply someone who wants to make sense of the world with data, this course will equip you with the skills and knowledge you need to excel in your field.

Join me, and let's embark on this data-driven adventure together! 🌐🚀

Course Gallery

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3731276
udemy ID
27/12/2020
course created date
31/03/2021
course indexed date
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