Python for Data Analysis & Decision Making.pptx

Python for Data Analysis & Decision Making.pptx

• 1.
  Python for Data Analysis& Decision Making
• 2.
  • Easy tolearn & widely used • Powerful libraries for data handling • Fast decision‑making support Next Page Why Python for Data Analysis?
• 3.
  Next Page Key Libraries •NumPy – Numerical computing • Pandas – Data manipulation • Matplotlib/Seaborn – Visualization • Scikit‑Learn – ML models
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  Data Analysis Workflow 1.Data Collection 2.Cleaning& Preprocessing 3.Exploration & Visualization 4.Modeling 5.Decision Making Next Page
• 5.
  Data Cleaning with Python •Handling missing values • Removing duplicates • Data type conversions • Outlier detection Next Page
• 6.
  Exploratory Data Analysis (EDA) • Summarystatistics • Correlation analysis • Visual patterns & trends Next Page
• 7.
  Visualization for Insights • Line,Bar, Pie charts • Heatmaps for correlations • Histograms for distribution analysis Next Page
• 8.
  Machine Learning for Decisions • Regressionfor forecasting • Classification for predictions • Clustering for segmentation Next Page
• 9.
  Real‑World Use Cases • Businessforecasting • Customer churn prediction • Fraud detection • Marketing strategy decisions Next Page
• 10.
  Conclusion • Python simplifiesdata analysis • Turning raw data Insights → Decisions → Next Page
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