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Day 7 – Introduction to Python for Data Analysis (Pandas, NumPy)

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Introduction (Narrative + Hands-On Approach) In 2025, Python has become the most versatile tool for data analysis, blending automation, visualization, and machine learning. Unlike Excel or SQL, Python allows you to clean, analyze, and visualize massive datasets with fewer limitations. Imagine a mid-sized e-commerce business in Nagpur struggling to predict weekly sales trends. Using Python, […]

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

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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

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Introduction Exploratory Data Analysis (EDA) is the foundation of modern data science.It helps data scientists detect patterns, spot anomalies, and uncover insights before building machine learning models. At Curiosity Tech Nagpur, we focus on hands-on EDA training.We teach learners how to use Python’s visualization libraries to make confident, data-driven decisions. This guide explores Seaborn and

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Day 3 – Top Data Analysis Tools: Excel, SQL, Python, Power BI, Tableau

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Introduction (Narrative Style) Every beginner in 2025 eventually asks :- “Which data analysis tool should I learn first? Excel? SQL? Python? Or do I jump straight into Power BI and Tableau?” The reality is, there is no single “best tool”. Instead, there’s a toolbox, and like a craftsman, an analyst must pick the right tool

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