Introduction to Exploratory Data Analysis (EDA)
This course delves into Exploratory Data Analysis (EDA), focusing on skills and techniques. Participants will learn to effectively summarize and visualize data, identify patterns, and gain insights that inform data-driven decisions. The course covers a range of tools and libraries commonly used in EDA, offering practical experience through real-world datasets.
What You'll Learn
Data Summarization
Learn to summarize datasets effectively to uncover underlying patterns.
Data Visualization
Master the use of visualization tools to interpret data visually and communicate findings.
Pattern Recognition
Identify and analyze patterns within datasets to drive data-driven decision making.
Tool Proficiency
Gain proficiency in popular EDA tools and libraries such as Pandas and Matplotlib.
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