These projects focuses on data analysis using multiple tools and techniques to derive insights from various datasets.
The goal 🎯 is to explore 📈 , visualize 📊 and interpret data to support decision-making processes.
Tools Used:
✅ Google Sheets – For quick data analysis and reporting.
✅ SQL – For querying and managing structured databases.
✅ BiqQuery - A fully managed, serverless data warehouse by Google Cloud that enables fast SQL queries and large-scale data analysis.
✅ Looker Studio – For web-based data visualization.
✅ Tableau – For interactive data visualization and dashboards.
✅ Amplitude - A product analytics platform that helps teams track user behavior, analyze engagement, and make data-driven decisions.
✅ Python (Pandas, NumPy, Matplotlib, Seaborn) – For data manipulation, analysis, and visualization.
✅ A/B testing to compare different versions of a feature or treatment and analyze the impact on user behavior or performance.
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Data Collection - Collect data from multiple sources such as CSV files, databases, and APIs.
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Data Cleaning and Preprocessing - Handle missing values, remove duplicates, and structure data for analysis.
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Exploratory Data Analysis (EDA) - Use statistical summaries and visualizations to understand data patterns.
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Data Visualization - Create charts, graphs, and dashboards to present key insights.
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Insights & Decision Making - Interpret results and provide data-driven recommendations.
- Clone the repository:
git clone https://github.com/VitaliiKalyta96/Data-analysis.git
- Open any project in folder.