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Python for Exploratory Data Analysis: Zero to Hero

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Published 10/2023
Created by Md Shahriar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lectures ( 2h 39m ) | Size: 1 GB

Master Python for EDA with Pandas, Matplotlib, Seaborn, Scikit-learn, and ChatGPT – from Novice to Data Analysis Hero

What you’ll learn
Gain a deep understanding of essential Python libraries for data analysis, including pandas, matplotlib, seaborn, and scikit-learn.
Learn smart and effective techniques to uncover patterns, trends, and outliers in data, enabling data-driven decision-making.
Leverage ChatGPT to receive real-time assistance in generating Python code snippets making programming accessible and efficient.
Understand the art of storytelling with data, using visualizations to convey complex findings in a straightforward and understandable manner.
Develop a comprehensive EDA project with the guidance of ChatGPT, reinforcing your skills and preparing you for real-world data analysis challenges.
Apply acquired skills through practical, real-world projects that simulate industry scenarios.

Requirements
Desktop/Laptop
Internet connection
Desire to learn

Description
Embark on a transformative journey into the realm of data exploration with our comprehensive course, “Python for Exploratory Data Analysis: Zero to Hero.” Designed for both beginners and those seeking advanced insights, this course is your gateway to mastering the art of data analysis using Python’s powerful libraries. Through hands-on modules, we demystify the complexities of Pandas, Matplotlib, Seaborn, and Scikit-learn, empowering you to navigate and analyze datasets with precision.Dive into the world of Python programming as we guide you through essential techniques in data cleaning, manipulation, and exploratory data analysis. Learn how to seamlessly handle missing values, inconsistencies, and duplicates, ensuring the integrity of your dataset. Discover the art of data manipulation, from sorting and filtering to merging and concatenating, providing you with the skills to reshape and transform data according to your analytical needs.The course uniquely integrates ChatGPT, an AI-powered assistant, to simplify your Python programming experience. Benefit from real-time assistance in generating custom Python code for each analysis, making programming accessible and enjoyable. From exploring categorical variable distributions and conducting descriptive analyses to utilizing advanced statistical tools like pivot tables and crosstabulations, you’ll emerge not just as a data analyst but as a data storyteller, capable of deriving meaningful insights and making informed decisions. Elevate your data analysis journey – from zero to hero – and unlock a world of possibilities with “Python for Exploratory Data Analysis.”


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