Summary

FAQs

• What do I need to provide to get started?

  You need to provide your dataset (Excel, CSV, SQL, or any other format), along with a clear explanation of the insights you want to extract or the problem you want to solve.

• What types of data analysis do you offer?

  I offer descriptive, diagnostic, predictive, and prescriptive analysis, including: ✔ Data cleaning & preprocessing ✔ Trend analysis & pattern recognition ✔ Statistical & exploratory data analysis (EDA) ✔ Data visualization (charts, graphs, dashboards) ✔ Forecasting & predictive modeling

• Which tools and technologies do you use?

  I use Excel, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, Tableau, and Google Sheets to analyze and visualize data efficiently.

• Can you create interactive dashboards?

  Yes! I can build interactive dashboards using Power BI, or Python-based tools to help you track key performance metrics and business insights.

• How long does a data analysis project take?

  The timeline depends on the complexity of your data and requirements. Simple reports can take a few days, while complex predictive models may take a few weeks.

• Will I receive a report with the analysis?

  Yes! You will get a detailed report that includes key findings, trends, visualizations, and actionable insights in PDF, Word, or PowerPoint format.

• What industries can benefit from data analysis?

  Data analysis is useful for finance, healthcare, e-commerce, marketing, sales, operations, and research—basically, any industry that relies on data for decision-making!