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✅Data Analytics Essentials TECH SKILLS (NON-NEGOTIABLE) 1️⃣SQL • Joins, Group by, Window functions • Handle NULLs and duplicates Example: LEFT JOIN fits a churn query to include non-churned users 2️⃣Excel • Pivot tables, Lookups, IF logic • Clean raw data fast Example: Reconcile 50k rows in minutes using Pivot tables 3️⃣Power BI or Tableau • Data modeling, Measures, Filters • One dashboard, One question Example: Sales drop by region and month dashboard 4️⃣Python • pandas for cleaning and analysis • matplotlib or seaborn for quick visuals Example: Groupby revenue by cohort 5️⃣Statistics Basics • Mean vs median, Variance, Correlation • Know when averages lie Example: Median salary explains skewed data SOFT SKILLS (DEAL BREAKERS) 1️⃣Business Thinking • Ask why before how • Tie insights to decisions Example: High churn points to onboarding gaps 2️⃣Communication • Explain insights without jargon • One slide, One takeaway Example: Revenue fell due to fewer repeat users 3️⃣Problem Framing • Convert vague asks into clear questions • Define metrics early Example: What defines an active user? 4️⃣Attention to Detail • Validate numbers • Double check logic • Small errors kill trust 5️⃣Stakeholder Handling • Listen first • Clarify scope • Push back with data 🎯Balance both tech and soft skills to grow faster as an analyst Double Tap ♥️ For More