Data Analytics

Day 17 – Introduction to Google Data Studio for Beginners

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Introduction (Tool-Focused Beginner Tutorial Style) Google Data Studio (GDS) is a free, cloud-based reporting and visualization tool that allows analysts to create interactive dashboards, generate reports, and share insights with stakeholders in real time. Imagine a retail chain in Nagpur tracking sales across multiple regions. Traditional spreadsheets are cumbersome for presenting insights to management. Google […]

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Day 13 – Hypothesis Testing & A/B Testing for Business Insights

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Introduction (Experimental Design + Business Insights) Hypothesis testing and A/B testing are critical for data-driven decision-making in 2025. They allow businesses to validate assumptions, optimize strategies, and measure outcomes. Imagine a Nagpur-based e-commerce company planning a marketing campaign. They have two email designs and want to determine which design increases click-through rates. Random guesses won’t

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Day 5 – SQL Basics for Data Analysts: Queries, Joins & Filtering

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Introduction (Hands-On Tutorial Style) Imagine you are a data analyst in a retail company in Nagpur and you’ve been given three Excel sheets—Orders, Customers, and Products. Your manager asks: “Which products are selling the most in Nagpur last quarter?” This is a classic scenario where SQL shines. SQL (Structured Query Language) is the language of

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Day 23 – Advanced Excel & SQL Tips for Faster Analysis

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Introduction (Hands-On Technical Tips & Tricks Style) In modern data analytics, speed and efficiency are crucial. Whether working on large datasets in Excel or querying databases via SQL, analysts must optimize workflows to deliver insights quickly and accurately. Imagine a Nagpur-based retail company analyzing millions of sales records for monthly reporting. Without advanced Excel formulas,

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Day 22 – Data Analyst Certifications to Boost Your Career in 2025

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Introduction (Career-Focused Certification Guide Style) In 2025, becoming a skilled data analyst requires not only hands-on experience but also recognized certifications. These certifications validate your skills, enhance credibility, and help you stand out in competitive markets. Imagine a Nagpur-based professional seeking to transition into data analytics. While self-learning Excel, SQL, and Python is valuable, certifications

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Day 18 – Common Data Analyst Mistakes & How to Avoid Them

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Introduction (Error-Analysis & Best Practices Style) Even experienced analysts make mistakes—but understanding common pitfalls is essential to improve accuracy and credibility. Imagine a Nagpur-based retail company analyzing sales data. A small mistake in Excel formulas, SQL queries, or Python scripts could mislead management, affect inventory decisions, or misrepresent performance. Identifying and avoiding these mistakes ensures

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