DataAnalysis

Day 12 – Descriptive Statistics Every Analyst Should Know

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Introduction (Statistical Insights + Reporting Style) Descriptive statistics are the foundation of data analysis, enabling analysts to summarize, visualize, and interpret data. They help turn raw numbers into meaningful insights that can guide decision-making. Imagine a retail chain in Nagpur reviewing last quarter’s sales. Management wants answers: Descriptive statistics provide answers, allowing analysts to communicate […]

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Day 19 – Case Study: Analyzing Customer Churn with SQL & Python

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Introduction (Case Study Style) Customer churn—when a client stops using a service or product—is a critical KPI for businesses. Reducing churn directly impacts revenue, customer retention, and growth. Imagine a Nagpur-based telecom company that wants to identify why customers leave and predict who might churn. Using SQL to extract customer data and Python for analysis

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Day 1 of a 26-day 'Zero to Hero' guide for becoming a Data Analyst in 2025. The title reads 'What is Data Analysis? A Beginner's Guide for 2025.

Day 1 – What is Data Analysis? A Beginner’s Guide for 2025

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In 2025, the world runs on data. From the way you shop online, to how hospitals manage patients, to how governments make policies—data analysis drives it all. Yet, for beginners, the concept often feels like a giant buzzword floating around LinkedIn and YouTube. But data analysis is not just theory; it’s a skill of asking questions, exploring patterns, and making informed decisions.

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