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Data Analyst - Key Topics
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Data Analysis Basics – Role of Data Analyst, Data Types, Data Lifecycle
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SQL & Databases – Queries, Joins, Aggregation, Data Extraction
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Excel for Analysis – Formulas, Pivot Tables, Lookups
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Python / R for Analytics – Pandas, Data Cleaning,
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EDAData Visualization – Charts & Dashboards (Power BI / Tableau)
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Statistics for Analytics – Descriptive Stats, Hypothesis Testing, Regression
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Business Reporting & Insights – KPIs, Metrics, Storytelling with Data
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Capstone Project – Real-World Data Analysis Case Study.
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