About Me
Analytics is the systematic computational analysis of data or statistics. Its all about extracting meaningful patterns, insights, and knowledge from data to help people and organizations make better, more informed decisions.
Think of it this way: Were constantly generating vast amounts of data every day, from emails and social media. Programming Languages: Python with libraries like Pandas, NumPy, Scikit learn, Matplotlib, Seaborn, R especially for statistical analysis and visualization.
Databases & Query Languages: SQL Structured Query Language is essential for interacting with databases to retrieve and manipulate data.
Business Intelligence BI tools, including Tableau, Microsoft Power BI, QlikView, and Google Looker Studio formerly Data Studio, are widely used for creating interactive dashboards and visualizations.
Spreadsheet Software: Microsoft Excel remains a fundamental tool for data organization, basic analysis, and visualization, particularly for smaller datasets.
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