Course curriculum

    1. Welcome!

    2. Questions & Discussion

    3. Video: Note from Devavrat Shah - Ikigai Co-Founder

    4. Register for the Ikigai Platform

    5. Video: Data Fundamentals Introduction

    6. Video: ML History & Five Step Process

    7. Quiz: Five Step Process

    8. Video: Retail Case Study

    9. Video: Data Fundamentals

    10. Quiz: Gaussian Distribution

    11. Video: Coin Toss Example

    12. Quiz: Law of Large Numbers

    13. Video: Simple Generative Mechanism Example

    14. Instructions: Download Template App

    15. Quiz: Platform Exercise

    16. Summary & Next Up

    17. Video: High-Dimensional Data Introduction

    18. Video: Data Fundamentals Recap

    19. Video: Generative View - 3 Sigma

    20. Quiz: Empirical Cumulative Distribution Function (CDF)

    21. Video: Visualizing Data

    22. Video: Dimensionality Reduction

    23. Quiz: Principal Component Analysis (PCA)

    24. Video: PCA Example

    25. Summary & Next Up

    26. Capstone Assignment 1

    1. Video: Clustering Introduction

    2. Video: High-Dimensional Data Recap

    3. Video: Implications of PCA

    4. Quiz: PCA

    5. Video: PCA for Prediction

    6. Instructions: Platform Exercise 1

    7. Quiz: Platform Exercise

    8. Video: PCA in the Ikigai Platform

    9. Video: Clustering

    10. Quiz: K-Means

    11. Video: The Elbow Method, Retail Case Study

    12. Instructions: Platform Exercise 2

    13. Quiz: Platform Exercise 2

    14. Clustering Summary & Next Up

    15. Video: Text Data Introduction

    16. Video: Clustering Review & Case Study

    17. Video: Generative View of Text - Words to Numbers

    18. Quiz: Document Word Occurrence

    19. Video: Generative Model II & PCA

    20. Quiz: Conceptual Exercise

    21. Video: Generative Model III

    22. Quiz: Generative Model III

    23. Quiz: Conceptual Exercise 2

    24. Summary & Next Up

    25. Capstone Assignment 2

    1. Video: Regression Introduction

    2. Video: Text Data Recap & Retail Case Study

    3. Video: Regression - Marketing Campaign

    4. Quiz: Prediction

    5. Video: Cross Validation

    6. Quiz: Regression

    7. Video: Marketing Campaign

    8. Platform Exercise

    9. Summary & Next Up

    10. Video: Classification Introduction

    11. Video: Lecture Recap & Case Study

    12. Quiz: Conceptual Exercises

    13. Video: Classification

    14. Quiz: Classification

    15. Video: Logistic Regression

    16. Quiz: Logistic Regression

    17. Video: ROC & AUC

    18. Quiz: ROC

    19. Summary & Next Up

    20. Capstone Assignment #3

    1. Video: Matrix Completion Introduction

    2. Video: Course Progress

    3. Video: Recap & Retail Case Study

    4. Video: Matrix Completion

    5. Quiz: Matrix Completion & Platform Exercise

    6. Video: Collaborative Filtering

    7. Quiz: Collaborative Filtering

    8. Video: Considerations for AI

    9. Quiz: Bias

    10. Video: Retail Case Study

    11. Summary & Next Up

    12. Video: Time Series Introduction

    13. Video: Course Progress

    14. Video: Recap & Retail Case Study

    15. Video: Time Series

    16. Quiz: Time Series

    17. Video: Time Series As a Matrix

    18. Quiz: Time Series As a Matrix

    19. Video: Retail Case Study

    20. Quiz: Platform Exercise

    21. Summary & Next Up

    22. Capstone Assignment #4

    1. Video: Scenario Analysis Introduction

    2. Video: Course Progress

    3. Video: Recap & Retail Case Study

    4. Video: Scenario Analysis

    5. Quiz: Scenario Analysis

    6. Video: Scenario Analysis as a Matrix

    7. Quiz: Scenario Analysis as a Matrix

    8. Capstone Assignment #5

    9. Summary & Next Up

    10. Video: Optimization Introduction

    11. Video: Course Progress

    12. Video: Retail Case Study

    13. Video: Optimized Decisions

    14. Quiz: Optimization

    15. Video: Evaluating Trade Offs

    16. Summary & Course Completion

    17. Capstone Project Survey

    18. Congratulations & Thank You!

About this course

  • 4.5 hours of video content
  • Quizzes
  • AI Foundations Badge

What You Will Learn

AI Foundations & Data-Driven Business Decisions

  • Data Fundamentals

    Learn about high-dimensional data, text data, and more

  • No-Code

    Gain experience creating no-code models

  • Drive Decision-Making

    Learn how to utilize your data to derive insights and drive decision-making within the Ikigai Platform

Who can take this course?

This course is designed for a variety of audiences. You don't need to be an AI expert!

  • Executives who want to gain insight into AI architecture, strategy, and apply to business cases

  • Data Scientists/Analysts who want to gain experience creating no-code models

  • Developers/Coders who want to become solution architects and learn how to translate business needs into AI solutions

Start this course today!

Enroll Today