Data Analysis with Python: From Raw Data to Insights
Completed by Juan Esteban Hernandez Alvarez
August 25, 2020
15 hours (approximately)
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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: Scikit Learn (Machine Learning Library)
- Category: Data Wrangling
- Category: Regression Analysis
- Category: Python Programming
- Category: Exploratory Data Analysis
- Category: Data Visualization
- Category: Model Evaluation
- Category: Data Import/Export
- Category: Descriptive Statistics
- Category: Data Analysis
- Category: Pandas (Python Package)
- Category: Data Preprocessing
