#EDA

Day 11 – Exploratory Data Analysis (EDA) Step-by-Step

Introduction (Stepwise Investigation Style) Exploratory Data Analysis (EDA) is the first critical step in any data analysis workflow. It allows analysts to understand the dataset, detect patterns, identify anomalies, and uncover relationships before diving into modeling or reporting. Imagine a retail company in Nagpur launching a new product line. You have transaction data spanning months. […]

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Day 11 – Exploratory Data Analysis (EDA) Step-by-Step

Introduction (Stepwise Investigation Style) Exploratory Data Analysis (EDA) is the first critical step in any data analysis workflow. It allows analysts to understand the dataset, detect patterns, identify anomalies, and uncover relationships before diving into modeling or reporting. Imagine a retail company in Nagpur launching a new product line. You have transaction data spanning months.

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Day 7 – Exploratory Data Analysis (EDA) with Seaborn & Plotly

Introduction Exploratory Data Analysis (EDA) is the cornerstone of data science in 2025. It allows data scientists to understand patterns, detect anomalies, and uncover hidden insights before building any machine learning model. At CuriosityTech.in, Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), we emphasize hands-on EDA with Python’s visualization libraries, enabling learners to

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