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TOP 5 DATA ANALYTICS TOOLS YOU NEED FOR YOUR ANALYSIS: 1. Excel- helps with basic statistical functions & visualization 2. SQL- stands for structured query language; used to store & manage data. 3. Powerbi- interactive dashboards& data updates 4. Python 5. R Hope this helps😊?

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Your model is useless, if your data is a mess. 11 easy steps for a impactful analysis 👇 0/ Import libraries 1/ See data structure 2/ Explore your dataset 3/ Standardize data formats 4/ Remove duplicates if necessary 5/ Handle missing values appropriately

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df.info() and df.describe() to understand column data types and generate key summary statistics. ✅ Data Cleaning: Performed health checks on the data, identifying null values and counting unique entries to ensure accuracy. ✅ Correlation Analysis: Investigated

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2. Understand your data. Know what it represents, where it comes from, column definitions, outliers, and what’s normal.

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Then, enable the add in called "Analysis toolpak". You can find it under File - Options - Addins. After it is enabled, go to "Data" tab, and click "Data Analysis". You will have a few options to analyze your data. Choose whichever fits your need.

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