What you'll Learn
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Grasp the core concepts behind machine learning, its types, and why predictions matter in business contexts.
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Learn essential evaluation techniques like accuracy, RMSE, and cross-validation to judge the effectiveness of AI models.
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Apply machine learning workflows using Orange to solve business problems through regression, classification, and clustering.
Who Should Enroll
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Aspiring Students: Beginners and non-technical teams looking to build machine learning models using simple, no-code tools.
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Professionals: Business professionals and managers seeking to apply AI in decision-making without coding.
About the Instructor
Apoorv Vishnoi Head Training Vertical, Analytics Vidhya
Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups, and mentored start-ups at incubation cells.
Course curriculum
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1
Powering Your Decisions with Chart
- Introduction to the Module
- Why do we need charts?
- Getting Familiar with Tableau
- Quiz - Getting Familiar with Tableau
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2
Tableau in Action: Case Study-Driven Learning
- Basic Data Preparation
- Introduction to Tableau with a case study
- Advanced charts in Tableau with a case study
- Different scenarios and appropriate charts (downloadable cheat sheet)
- Quiz