Data Analytics & Visualization is the process of transforming raw data into meaningful insights that drive decision-making. It involves collecting, cleaning, analyzing, and presenting data in an easily understandable format, such as dashboards, reports, and interactive visualizations. Tools I use are:
Data Visualization & Business Intelligence (BI) - Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly & Bokeh).
Data Analysis & Processing - SQL (for querying databases), Excel & Google Sheets, Python (Pandas, NumPy, SciPy, Scikit-learn for machine learning) and R (for statistical analysis).