Applied Data Science Capstone
Completed by Franky Leonardo Prieto Tellez
October 15, 2024
14 hours (approximately)
Franky Leonardo Prieto Tellez's account is verified. Coursera certifies their successful completion of Applied Data Science Capstone
What you will learn
Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholdersÂ
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 modelÂ
Skills you will gain
- Category: Statistical Reporting
- Category: Interactive Data Visualization
- Category: Data-Driven Decision-Making
- Category: Data Analysis
- Category: Data Visualization Software
- Category: Data Science
- Category: Data Collection
- Category: Pandas (Python Package)
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: GitHub
- Category: Plotly

