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Learn the key skills to excel as a Data Analyst. Start with data collection and statistical analysis, and progress to data visualization using tools like SQL, Python, and Tableau. Focus on data cleaning and transforming raw data into valuable insights for decision-making. This roadmap provides a clear path to mastering essential analytical techniques. #DataAnalyst #DataScience #SQL #Python #Tableau #DataVisualization #Analytics #DataDriven #web #coding #programmer #data

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Unlock the power of data with these essential skills for a Data Analyst! 📊💡 What’s your go-to tool for data analysis? Share your insights! #DataScience #Analytics #BigData #TechSkills #CareerGrowth

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In the last DIY, we introduced the concept of Exploratory Data Analysis (EDA). This is a fundamental step in Data Science. One of the key components of the EDA is finding out about the data distribution. Let’s inspect this in more depth!

Sometimes when people hear the words ‘data analysis’ it sounds a little scary to them, but wipe the sweat off your forehead and read on because I’m about to tell you how to tackle any analysis in just four steps. It really doesn’t matter whether you’ve been asked to do a short data analysis or a more lengthy one, the steps are still the same! You'll walk away from this article knowing the four step process on how to analyze data.