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Friday, June 16 • 11:15am - 11:50am
EDA Techniques for Data Analysis

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This Devconf will explore the powerful techniques of Exploratory Data Analysis (EDA), a critical first step in the data analysis process. EDA involves cleaning, visualizing, and understanding data sets to drive insights and inform decision-making. Attendees will come away with a deeper understanding of EDA, including best practices for cleaning and visualizing large data sets, and how to use EDA to drive insights and inform decision-making in a business context.

Outline:
1. Introduction to EDA and its importance in data analysis
2. Data cleaning techniques and best practices
3. Data visualization techniques and best practices
4. Statistical analysis techniques, including descriptive statistics and hypothesis testing
5. Popular data analysis libraries for EDA
6. EDA techniques for different types of data, including categorical, numerical, and time-series data
7. Using EDA to inform decision-making and business strategies
8. Conclusion and Q&A session.

Speakers
avatar for Akshay Ghodake

Akshay Ghodake

Software Engineer, Red Hat
I am a software engineer working on Red Hat Insights. I have built data-driven applications and collaborated with cross-functional teams to deliver high-quality software products.


Friday June 16, 2023 11:15am - 11:50am CEST
A113 | Talks
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Attendees (4)