Econometrics and Statistics for Business in R & Python

Name: Econometrics and Statistics for Business in R & Python
Price: 9.99 USD
Availability: InStock
Rating: 4.4 (6629 reviews)

Learn Causal Inference & Statistical Modeling to solve finance and marketing business problems in Python and R

4.4 ★★★★★6,629 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

Econometrics and Statistics for Business in R & 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

Understand the application of econometric techniques in business settings, Apply Google's Causal Impact to measure the effect of an intervention on a time series., Code econometric techniques in R and Python from scratch.

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Prerequisites

Basic high school math, Basic statistics: mean, median, mode

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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:

✓Understand the application of econometric techniques in business settings.

✓Apply Google's Causal Impact to measure the effect of an intervention on a time series.

✓Code econometric techniques in R and Python from scratch.

✓Solve real business or economic problems using econometric techniques.

✓Use propensity score matching to compare outcomes between groups while controlling for confounding variables.

✓Develop an intuitive understanding of Difference-in-differences, Google's Causal Impact, Granger Causality, Propensity Score Matching, and CHAID.

✓Perform Granger causality to test for causality between two time series.

✓Develop intuition for econometric techniques through business case studies.

✓Practice coding and applying econometric techniques through challenging and interesting problems.

✓Understand and apply basic statistical concepts and techniques in real-life business cases.

Requirements

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

•Basic high school math

•Basic statistics: mean, median, mode

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 Econometrics.

Specialization

business education and applied programming expertise.

Institution

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

Review - Econometrics and Statistics for Business in R & 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: Econometrics and Statistics for Business in R & Python by Diogo Alves de Resende

Econometrics and Statistics for Business in R & 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 Econometrics and take their career to the next level.

Our Recommendation

Course recommendation: Econometrics and Statistics for Business in R & 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.

4.4

★★★★★

Course Rating

Based on 6,629 student reviews as of January 2026

Rating Breakdown:

5 stars:

75% (4,972)

4 stars:

15% (994)

3 stars:

5% (331)

2 stars:

5% (331)

1 star:

5% (331)

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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