- GitHub
- Data Wrangling
- Exploratory Data Analysis
- Data Science
- Data Analysis
- Data Presentation
- Data-Driven Decision-Making
- Pandas (Python Package)
- Web Scraping
- Plotly
- Machine Learning Methods
- Statistical Modeling
Applied Data Science Capstone
Completed by Félix Charotte
March 9, 2025
13 hours (approximately)
Félix Charotte'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 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
Skills you will gain

