Data Analysis with Python: From Raw Data to Insights
Completed by José Álvarez de las Asturias Bohorques
July 18, 2020
15 hours (approximately)
José Álvarez de las Asturias Bohorques'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: Scatter Plots
- Category: Analytics
- Category: Statistical Methods
- Category: Descriptive Statistics
- Category: Data Analysis
- Category: Pandas (Python Package)
- Category: Scikit Learn (Machine Learning Library)
- Category: Predictive Modeling
- Category: Statistical Analysis
- Category: Box Plots
- Category: Plot (Graphics)
