Data Mining for Business Analytics & Data Analysis in Python

Name: Data Mining for Business Analytics & Data Analysis in Python
Price: 9.99 USD
Availability: InStock
Rating: 4.7 (4464 reviews)

Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.

4.7 ★★★★★4,464 studentsCreated by Diogo Alves de ResendePublished/Updated on: January 3, 2026🌐 English

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Key Takeaways

Course Essentials

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.

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Course Title

Data Mining for Business Analytics & Data Analysis in Python

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Provider

Udemy (via CourseSpeak listing)

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Instructor

Diogo Alves de Resende

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Last Updated

January 3, 2026

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Difficulty Level

All Levels

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Course Focus

business fundamentals to advanced concepts

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Learning Outcomes

Identify the value of data mining for quickly analyzing and interpreting data., Apply data mining algorithms using Python programming language for Business Analytics., Explain the principles behind various data mining algorithms, including supervised and unsupervised machine learning, and explainable AI

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Prerequisites

Statistics - Linear and Logistic Regression, Basic Python

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Target Audience

Beginners to advanced programmers

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What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓Identify the value of data mining for quickly analyzing and interpreting data.

✓Apply data mining algorithms using Python programming language for Business Analytics.

✓Explain the principles behind various data mining algorithms, including supervised and unsupervised machine learning, and explainable AI.

✓Explain the results of data mining models using explainable artificial intelligence models: LIME and SHAP.

✓Practice applying data mining techniques through hands-on exercises and case studies.

✓Implement cluster analysis, dimension reduction, and association rule learning using Python.

✓Perform survival analysis, Cox proportional hazard regression, and CHAID using Python.

✓Use random forest and feature selection to improve the accuracy of data mining models.

✓Develop a portfolio of data mining projects for Business Data Analytics and Intelligence.

✓Use data mining techniques to inform business decisions and strategies.

Requirements

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

•Statistics - Linear and Logistic Regression

•Basic Python

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive business courses.

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About the Instructor

Course Expert

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Diogo Alves de Resende

Senior Instructor

View Instructor Profile

Experience

12+ years developing large-scale systems in Data Mining.

Specialization

business education and applied programming expertise.

Institution

Professional Academy - Leading provider of quality business education and professional development.

Review - Data Mining for Business Analytics & Data Analysis in Python course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Data Mining for Business Analytics & Data Analysis in Python by Diogo Alves de Resende

Data Mining for Business Analytics & Data Analysis in Python is a comprehensive online course designed to help students master Business skills. Created by Diogo Alves de Resende, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Data Mining and take their career to the next level.

Our Recommendation

Course recommendation: Data Mining for Business Analytics & Data Analysis in Python excels in business development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.7

★★★★★

Course Rating

Based on 4,464 student reviews as of January 2026

Rating Breakdown:

5 stars:

75% (3,348)

4 stars:

15% (670)

3 stars:

5% (223)

2 stars:

5% (223)

1 star:

5% (223)

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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