Rating: 4.6 out of 5
Econometrics for Business in R and Python is an online course designed to make econometrics more digestible and approachable. This course aims to provide students with the intuition and tools to apply taught techniques, ensure that everything learned is actionable in their careers, and offer a toolkit of reputable econometric causal inference techniques for tackling tough questions.
The course’s structure consists of Use Cases, Intuition tutorials, and Practice tutorials, where students will code and solve real business or economic problems. The lessons focus on impactful econometric techniques applicable to various company departments like HR, Marketing, Finance, and Operations. Students will work with real business and economic datasets to apply what they’ve learned, all while coding together in R and Python. Packed with actionable insights, this course is designed to extend naturally into students’ careers.
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Skills you’ll learn
- Develop intuition and application of econometric techniques.
- Utilize econometric and causal inference methods for various business departments.
- Gain understanding of business examples to foster intuition.
- Explain complex concepts to colleagues, managers, and stakeholders.
- Apply learned techniques to real business problems.
- Measure and analyze the impact of various business strategies and events.
- Hands-on coding of econometric techniques using R and Python.
- Adapt code for personal work and projects.
Unravel the intriguing world of business analysis through the lens of R and Python programming, brought to life by Diogo Alves de Resende in 149 captivating lessons. Rejoice as you join over 4,000 eager learners in exploring Econometrics and Statistics, garnering a remarkable 4.6 out of 5-star satisfaction rating.