Data Analysis & Visualization Using Python
In The age of data - driven decision-making, the ability to analyze, interpret and visualize data has become an essential skill across disciplines. Whether in Academia, Business, healthcare, or engineering, data analysis enables us to uncover patterns, test hypotheses, and drive actionable insights. this book is designed to guide readers through the statistical data analysis and implementation of charts using python programming for visualization.
- Preface
- Introduction to Data Analytics
- Working With Pandas
- Exploring Data frames
- Data Cleaning and Preprocessing
- Data Visualization Using Matplotlib
- Data Visualization Using Seaborn
- Introduction to Plotly
- Probability Distributions
- parametric Tests
- Non-Parametric Tests
- Anova and Regression
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