[Free] Mastering Exploratory Data Analysis (Eda) With Python
Unlocking Insights, Unleashing Potential: Dive Deep into Data Exploration with Python – Free Course
What you’ll learn
- Comprehensive Overview of Exploratory Data Analysis
- Data Validation Techniques
- Data Summarization Techniques
- Handling Missing Data
- Categorical Data Analysis
- Numeric Data Analysis
- Temporal Data Analysis
- Understanding Correlation
- Exploring Factor Relationships and Distributions
- Hypothesis Generation
Requirements
- Basic Python Programming Skills
- Familiarity with Data Analysis Concepts
- Basic Statistics Knowledge
- Access to Python Environment
Description
Embark on a transformative journey into the heart of data exploration with our comprehensive course, “Mastering Exploratory Data Analysis with Python.” This course is meticulously designed to equip you with the essential skills and techniques needed to unlock insights and unleash the full potential of your data. With Python as our primary tool, you’ll delve into the intricate world of exploratory data analysis (EDA), where every dataset tells a unique story waiting to be uncovered.Through 12 in-depth modules, you’ll gain a profound understanding of EDA from every angle. From mastering data validation and summarization techniques to navigating outliers and handling missing data with confidence, you’ll build a solid foundation for effective data analysis. You’ll explore the nuances of categorical and numeric data analysis, learning how to uncover patterns, relationships, and distributions that lie beneath the surface.
But we don’t stop there. You’ll also dive into the fascinating realm of time series analysis, where you’ll dissect divorce filings data to uncover temporal patterns and trends. Armed with this knowledge, you’ll harness the power of correlation analysis and delve into the intricacies of factor relationships, paving the way for deeper insights into your data.Whether you’re a seasoned data professional seeking to sharpen your skills or an aspiring data scientist eager to embark on your journey, this course is for you. Join us, and let’s embark on a transformative exploration of data together
Author(s): Educonnhub, Cu Dinh Tien, Quan Pham, Dien Pham
