- Data Analysis
- Data Manipulation
- Data Processing
- Probability & Statistics
- Data Cleansing
- Jupyter
- Exploratory Data Analysis
- Pandas (Python Package)
- Data Science
- Feature Engineering
- Applied Machine Learning
- Data Visualization
Python for Data Science
Completed by Asma Ayub
June 21, 2025
40 hours (approximately)
Asma Ayub's account is verified. Coursera certifies their successful completion of Python for Data Science
What you will learn
Explain the significance of Python in data science and its real-world applications.
Apply Python to manipulate and analyze diverse data sources, using Pandas and relevant data types
Create informative data visualizations and draw insights from data distributions and feature relationships
Develop a comprehensive data preparation workflow for machine learning, including data rescaling and feature engineering
Skills you will gain
