Introduction to Tools and Software

• Excel: Great for beginners to handle basic data analysis tasks. You can perform calculations, create charts, and manage data in a straightforward manner.

• Google Sheets: Similar to Excel, but with collaborative features that allow multiple users to work on the same document simultaneously.

• Tableau: A powerful tool for data visualisation. It helps in creating interactive and shareable dashboards.

• Power BI: Another tool for creating interactive visualisations and business intelligence reports. It integrates well with other Microsoft products.

• Python: A programming language used for more complex data analysis. Libraries like pandas and numpy make it easy to handle large datasets, while matplotlib and seaborn are used for visualisation.

• R: Another programming language specifically for statistics and data analysis. It has extensive libraries for statistical modelling and data visualisation.

Why Use These Tools?

• Excel and Google Sheets:Easy to use, no programming needed. Ideal for beginners and small datasets.

• Tableau and Power BI:Excellent for creating visualisations and dashboards. They provide powerful features to visualise and share insights.

• Python and R:Ideal for handling large datasets and performing complex analyses. They offer more flexibility and power for advanced users.

Example:

• Example: A small business owner can use Excel to keep track of sales data and use Tableau to create a dashboard that shows sales trends over time.

Activity:

• Activity: Try creating a simple spreadsheet in Excel or Google Sheets to track your daily expenses for a week. Then, use a chart to visualise your spending.

Quiz