📊 Top 5 Data Analysis Techniques You Should Know 🧠📈

1️⃣ Descriptive Analysis
▶️ Summarizes data to understand what happened
▶️ Tools: Mean, median, mode, standard deviation, charts
▶️ Example: Monthly sales report showing total revenue

2️⃣ Diagnostic Analysis
▶️ Explores why something happened
▶️ Tools: Correlation, root cause analysis, drill-downs
▶️ Example: Investigating why customer churn spiked last quarter

3️⃣ Predictive Analysis
▶️ Uses historical data to forecast future trends
▶️ Tools: Regression, time series analysis, machine learning
▶️ Example: Predicting next month's product demand

4️⃣ Prescriptive Analysis
▶️ Recommends actions based on predictions
▶️ Tools: Optimization models, decision trees
▶️ Example: Suggesting optimal inventory levels to reduce costs

5️⃣ Exploratory Data Analysis (EDA)
▶️ Initial investigation to find patterns and anomalies
▶️ Tools: Data visualization, summary statistics, outlier detection
▶️ Example: Visualizing user behavior on a website to identify trends

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