If you are aiming for Data Science roles like Data Analyst, Business Analyst, or Data Visualization Specialist, you need to work on at least one comprehensive project based on Tableau or Power BI. So, if you are looking for Data Science project ideas based on Tableau and Power BI, this article is for you. In this article, I’ll take you through some of the best Data Science project ideas for Tableau and Power BI.
Tableau and Power BI Project Ideas
Below are some of the best Data Science project ideas on Tableau and Power BI you should try.
Sales Performance Dashboard
Create a sales performance dashboard by analyzing and visualizing the sales performance of a company across different regions, products, and time periods. Below are some key questions your dashboard must answer:
- the top-performing products and regions
- sales trends over time
- the impact of promotions on sales
- customer segments and their purchasing patterns
To build a sales performance dashboard, you can use line charts for sales trends, bar charts for product and region performance, and pie charts for customer segments. You can use filters and slicers to allow users to filter data by region, product, time period, etc. You can also use heatmaps to visualize sales performance across different regions. And make sure to calculate and analyze metrics such as year-over-year growth, average sales per customer, etc.
Here are some examples of Sales Performance Dashboards.
Financial Performance Analysis
Analyze financial performance by providing a comprehensive overview of a company’s financial health and performance. Below are some key questions you should answer in your analysis:
- Analyze key financial metrics such as revenue, profit margins, expenses, and cash flow.
- Compare actual financial performance against budgets and forecasts.
- Identify cost-saving opportunities and areas of overspending.
To analyze financial performance, you can create a KPI dashboard to show key financial metrics and performance indicators. You can perform trend analysis to analyze financial trends over time using line charts and area charts. You can perform variance analysis to compare actual performance against budgets and forecasts. You can also calculate and visualize important financial ratios such as ROI, ROE, and debt-to-equity ratio.
Here are some examples of Financial Performance Analysis.
Human Resources Analytics
Analyze human resource data to improve HR decision-making and strategy. Below are some key questions you should answer in your analysis:
- Monitor employee turnover rates and identify factors contributing to attrition.
- Analyze recruitment metrics such as time-to-hire and cost-per-hire.
- Track employee performance and engagement levels.
- Identify trends in employee demographics and diversity.
For the task of human resources analytics, you can use bar charts and line charts to track turnover rates and identify patterns. You can create a recruitment funnel by visualizing the recruitment process from application to hiring using a funnel chart. You can create a performance dashboard by showing key performance indicators for employee performance and engagement. You can also use pie charts to perform demographic analysis for diversity metrics.
Here are some examples of Human Resources Analytics.
Summary
So, below are some Data Science project ideas you can try using Tableau or Power BI:
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