Data Analysis with Python: From Raw Data to Insights
Completed by OLALOYE IFEOLUWA MELODY
July 7, 2026
15 hours (approximately)
OLALOYE IFEOLUWA MELODY's account is verified. Coursera certifies their successful completion of Data Analysis with Python: From Raw Data to Insights
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: Model Evaluation
- Category: Python Programming
- Category: Data Wrangling
- Category: Box Plots
- Category: Descriptive Statistics
- Category: Statistical Methods
- Category: Model Optimization
- Category: Data Visualization
- Category: Data Analysis
- Category: Regression Analysis
- Category: Exploratory Data Analysis
- Category: Statistical Analysis
