Data Analytics

Day 25 – Career Roadmap: How to Become a Professional Data Analyst

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Introduction Data analytics is one of the fastest-growing career fields in 2025. Professionals skilled in data collection, cleaning, analysis, visualization, and storytelling are highly sought after across industries. Imagine a Nagpur-based graduate aspiring to become a professional data analyst. Without a structured learning path, mastering tools, techniques, and best practices can be overwhelming. A stepwise […]

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Day 26 – Interview Questions & Answers for Data Analyst Jobs

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Introduction Landing a data analyst role in 2025 requires more than technical skills. Employers seek problem-solving abilities, analytical thinking, and practical application of tools. Imagine a Nagpur professional applying for a data analyst role in a multinational company. Without structured preparation, even strong technical skills can be overshadowed by poorly articulated answers or lack of

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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 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 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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