Data Analysis with Python
Completed by NADA MUSAAD SAEED AL MUZHIR NADA MUSAAD SAEED AL MUZHIR
July 23, 2025
16 hours (approximately)
NADA MUSAAD SAEED AL MUZHIR NADA MUSAAD SAEED AL MUZHIR's account is verified. Coursera certifies their successful completion of Data Analysis with Python
What you will learn
Construct Python programs to clean and prepare data for analysis by addressing missing values, formatting inconsistencies, normalization, and binning
Analyze real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights
Apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines
Develop and evaluate regression models using Scikit-learn, and use these models to generate predictions and support data-driven decision-making
Skills you will gain
- Category: Python Programming
- Category: Model Training
- Category: Exploratory Data Analysis
- Category: Model Optimization
- Category: Data Visualization
- Category: Data Transformation
- Category: Data Science
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Statistical Modeling
- Category: Data Analysis
