The standard data analyst roadmap is:   Excel SQL Visualisation Tool Optional: Python/R   That's not very helpful.   Here's a detailed breakdown of what you need to learn for each:

Understanding ETL/ELT: Manage Data wisely ETL and ELT are two common methods used by organizations to handle their data efficiently. Both stand for: E - Extract: This is the first step in both ETL and ELT. It involves fetching data from various sources, such as databases,

To do Data Analysis using Python you must master Pandas. But this library contains a lot. Here's what you should prioritize if you're a beginner:🧵

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Your career in data analytics will change the moment you… Start gaining domain knowledge.

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Essential Programming Foundations for Beginners Before diving into a specific programming language, it's crucial to grasp some fundamental concepts. This foundational knowledge will make learning any language more straightforward. open.substack.com/pub/datawise/p…

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Detailed Roadmap to become a Data Analyst 1. Foundation Skills Strengthen Mathematics: - Focus on statistics relevant to data analysis such as descriptive statistics, probability distributions, hypothesis testing, regression, and correlation. Resources: Khan Academy

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