Data Science Fundamentals Part 1: Unit 1
Completed by Alexandra Ndirango
September 15, 2025
7 hours (approximately)
Alexandra Ndirango's account is verified. Coursera certifies their successful completion of Data Science Fundamentals Part 1: Unit 1
What you will learn
Develop a strong foundation in data science concepts, theory, and the practical application of Python’s data ecosystem.
Acquire, manipulate, and analyze real-world datasets using industry-standard tools and libraries.
Build and evaluate machine learning models, including recommendation engines, with hands-on projects.
Master the end-to-end data science process, from data acquisition to visualization and effective communication of results.
Skills you will gain
- Category: Pandas (Python Package)
- Category: Data Wrangling
- Category: Machine Learning Algorithms
- Category: NumPy
- Category: Computational Thinking
- Category: Development Environment
- Category: Data Analysis
- Category: AI Personalization
- Category: Programming Principles
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Data Processing
