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sandys-ss/README.md

Hi there, I'm Sandy's! πŸ‘‹

  • 🏫 I'm graduate Data Analyst Professional Training Program at TripleTen Indonesia.
  • πŸ“– Data Analyst with experience in collecting, organizing, and analyzing data using Excel, Python, and SQL.
  • ⭐ Understanding of business problems and how data can be used to solve them, identify business needs, define success metrics, and develop data-driven solutions.
  • πŸƒ Understanding of data concepts and principles : identify data types, assess data quality, and clean data for analysis.
  • πŸ’» Data preparation techniques, including data cleaning, data integration, and data transformation. Prepare data for analysis in a way that is accurate, efficient, and reproducible.
  • 🐍 Exploratory data analysis techniques : data visualization, statistical analysis, and machine learning. Use these techniques to explore data, identify patterns, and generate insights.

Pinned

  1. Retail-Loyalty-Program-Analysis Retail-Loyalty-Program-Analysis Public

    Project portfolio : Analyzing loyalty programs in retail business units

    Jupyter Notebook

  2. visualization-trend-video-with-tableau visualization-trend-video-with-tableau Public

    Project portfolio : Create Visualization and Dashboard with Tableau

  3. employee-termination-analyzed-w-excel employee-termination-analyzed-w-excel Public

    The employee termination dataset to be analyzed in this study contains information about employees in a company.

  4. Product-Analysis-Supermarket-Dataset Product-Analysis-Supermarket-Dataset Public

    Case Study

    Jupyter Notebook

  5. descriptive-statistic descriptive-statistic Public

    Descriptive Statistics is one of the methods used to understand and summarize data. The aim is to provide a clearer picture of the identification of patterns, trends, and characteristics of the da…

    Jupyter Notebook

  6. Outlier Outlier Public

    Easy way to understand outlier

    Jupyter Notebook