Data Analysis with Python: From Raw Data to Insights
Completed by Nafissa Euphrasie Mboghe Kuetche
February 23, 2026
15 hours (approximately)
Nafissa Euphrasie Mboghe Kuetche'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: Data Preprocessing
- Category: Data Transformation
- Category: Data Cleansing
- Category: Scatter Plots
- Category: Statistical Methods
- Category: Model Optimization
- Category: Descriptive Statistics
- Category: Data Import/Export
- Category: Predictive Modeling
- Category: Exploratory Data Analysis
- Category: Data Analysis
- Category: Regression Analysis
