Applied Data Science Capstone

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What Will You Learn?

  • Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders
  • Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation
  • Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors
  • Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model

Course Content

Module 1: Introduction

  • Project Scenario and Overview
  • Data Collection Overview
  • Data Wrangling Overview

1 reading

4 quizzes

3 app items

1 plugin

Module 2: Exploratory Data Analysis (EDA)

4 quizzes

2 app items

Module 3: Interactive Visual Analytics and Dashboard

2 quizzes

2 app items

Module 4: Predictive Analysis (Classification)

2 quizzes

1 app item

Module 5: Present Your Data-Driven Insights

3 readings

1 peer review

6 plugins

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