Post #2439

📊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 💬Tap ❤️ for more!