✅Data Analyst Learning Checklist 🧠

📚 Foundations
- [ ] Excel / Google Sheets
- [ ] Basic Statistics & Probability
- [ ] Python (or R) for Data Analysis
- [ ] SQL for Data Querying

📊 Data Handling & Manipulation
- [ ] NumPy & Pandas
- [ ] Data Cleaning & Wrangling
- [ ] Handling Missing Data & Outliers
- [ ] Merging, Grouping & Aggregating Data

📈 Data Visualization
- [ ] Matplotlib & Seaborn (Python)
- [ ] Power BI / Tableau
- [ ] Creating Dashboards
- [ ] Storytelling with Data

🧠 Analytical Thinking
- [ ] Exploratory Data Analysis (EDA)
- [ ] Trend & Pattern Detection
- [ ] Correlation & Causation
- [ ] A/B Testing & Hypothesis Testing

🛠️ Tools & Platforms
- [ ] Jupyter Notebook / Google Colab
- [ ] SQL IDEs (e.g., MySQL Workbench)
- [ ] Git & GitHub
- [ ] Google Data Studio / Looker

📂 Projects to Build
- [ ] Sales Data Dashboard
- [ ] Customer Segmentation
- [ ] Marketing Campaign Analysis
- [ ] Product Usage Trend Report
- [ ] HR Attrition Analysis

🚀 Practice & Growth
- [ ] Kaggle Notebooks & Datasets
- [ ] DataCamp / LeetCode (SQL)
- [ ] Real-world Data Challenges
- [ ] Create a Portfolio on GitHub

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