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โœ…Skills Required to Become a Data Analyst ๐Ÿ“Š

๐Ÿง  ANALYTICAL THINKING
1. Problem Solving
2. Logical Reasoning
3. Pattern Recognition
4. Critical Thinking
5. Decision Making
6. Root Cause Analysis
7. Attention to Detail
8. Business Understanding

๐Ÿ“Š DATA HANDLING
1. Data Cleaning
2. Data Transformation
3. Data Validation
4. Handling Missing Values
5. Data Wrangling
6. Data Integration
7. Data Formatting
8. Data Quality Checks

๐Ÿ—„๏ธ SQL SKILLS
1. Writing Queries
2. Joins (INNER, LEFT, RIGHT)
3. Aggregations (SUM, COUNT, AVG)
4. Subqueries
5. CTEs
6. Window Functions
7. Indexing Basics
8. Database Optimization

๐Ÿ PYTHON / R
1. Pandas / dplyr
2. NumPy
3. Data Cleaning Scripts
4. EDA (Exploratory Data Analysis)
5. Visualization Libraries
6. Automation
7. Statistical Analysis
8. Basic Machine Learning

๐Ÿ“Š DATA VISUALIZATION
1. Dashboard Creation
2. Chart Selection
3. Storytelling with Data
4. Power BI / Tableau
5. KPI Design
6. Report Building
7. Interactive Visuals
8. Data Presentation

๐Ÿ“ˆ STATISTICS
1. Mean, Median, Mode
2. Probability Basics
3. Hypothesis Testing
4. Correlation
5. Regression
6. Distribution
7. Sampling Techniques
8. A/B Testing

๐Ÿ’ผ BUSINESS SKILLS
1. Requirement Understanding
2. Stakeholder Communication
3. Business Metrics
4. Domain Knowledge
5. Problem Framing
6. Reporting Insights
7. Decision Support
8. Documentation

โš™๏ธ TOOLS  TECHNOLOGIES
1. Excel
2. SQL Tools (MySQL, PostgreSQL)
3. Power BI / Tableau
4. Python / R
5. Google Sheets
6. Jupyter Notebook
7. Git (Basics)
8. Cloud Basics (AWS / Azure)

๐Ÿ’ฌ Tap โค๏ธ for more
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