"Python Data Analytics" is your gateway to becoming a proficient data analyst using the versatile Python programming language. Whether you're delving into the world of data for the first time or enhancing your analytical skills, this book provides a hands-on approach to harnessing Python's capabilities for robust data analysis and visualization.
Python Fundamentals for Data Analysis: Navigate through Python basics tailored for data analytics, ensuring a solid foundation for your analytical journey.
Data Cleaning and Preprocessing: Learn essential techniques to clean and prepare your data, ensuring accuracy and reliability in your analysis.
Exploratory Data Analysis (EDA): Dive into EDA with Python, unraveling insights, patterns, and relationships within your datasets.
Statistical Analysis with Python: Apply statistical methods to draw meaningful inferences, enhancing the depth of your data-driven insights.
Data Visualization Mastery: Utilize Python libraries to create compelling visualizations, turning complex data sets into accessible and impactful charts and graphs.
Real-world Applications: Explore practical examples and projects, applying Python to analyze and visualize data in various contexts.
Author(s): Floyd Bax
Year: 2024
Language: English
Pages: 142
Contents
1. Introduction
2. Conceptual Approach to Data Analysis
3. Data Analysis in Python
4. Statistics in Python - NumPy
5. Data Manipulation in Pandas
6. Data Cleaning
7. Data Visualization with Matplotlib in Python
8. Testing Hypotheses with SciPy
9. Data Mining in Python
10. Conclusion