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Conducting Exploratory Data Analysis

New York, United States

The Non-degree in Conducting Exploratory Data Analysis at Coursera Project Network is a program for international students taught in English.

đź“– Introduction

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

📚 About the Program

Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.Learn step-by-stepIn a video that plays in a split-screen with your work area, your instructor will walk you through these steps:•Build a solid foundation with Matplotlib and Seaborn•Plot and analyze distributions within the data•Plot and analyze comparisons within the data•Practice Task - Self Assessment•Plot and analyze the composition of data•Plot and analyze the relationships in our data•Capstone - Exploratory Data Analysis (EDA)

Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.Learn step-by-stepIn a video that plays in a split-screen with your work area, your instructor will walk you through these steps:•Build a solid foundation with Matplotlib and Seaborn•Plot and analyze distributions within the data•Plot and analyze comparisons within the data•Practice Task - Self Assessment•Plot and analyze the composition of data•Plot and analyze the relationships in our data•Capstone - Exploratory Data Analysis (EDA)

🏫 About the University

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

đź’° Fees

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$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

âś… Entry Requirements

All students from all countries are eligible to apply to this program.

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