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Data Analysis Handbook

Focuses on processing and analyzing data, primarily structured data, to extract useful information and support business decision-making.

  • It includes tasks such as cleaning, organizing, calculating metrics, statistical analysis, and creating visualizations.
  • Its purpose is to answer specific questions and solve specific problems based on existing data.
  • It requires skills in statistics, database management, and tools such as Excel, SQL, and visualization tools.
  • It is more descriptive and exploratory, focusing on interpreting data to improve efficiency and support business operations.

Statistics

Programming

Python

SQL

Data Analysis Software Tools

References / Resources

  • Python
    • PDF | Website | DataQuest - Python Cheat Sheet
    • PDF | Website | DataQuest - Pandas Cheat Sheet
    • Website | Datacamp - Introduction to Plotting with Matplotlib in Python
  • SQL
  • Power BI

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