How to Build a Data Analyst Portfolio Project

TL;DR

Build a road accident analysis project by creating comparable dashboards and query results in Power BI, Tableau Desktop, SQL, and Excel. Start with requirements and stakeholder needs, inspect and clean the raw data, calculate casualty metrics, add interactive filters and charts, then validate dashboard values against SQL results before presenting the work.

Transcript

hey guys welcome back to my channel so in today's video we are going to see the data analyst portfolio project and this will be a complete start to end build and in this we are going to make use of four data analysis tools that is power bi Tableau desktop SQL and Excel and this everything will be in one single video in each and every tool we are go... Read More

Key Insights

• The project is an end-to-end road accident analysis built with Power BI, Tableau Desktop, Microsoft SQL Server, and Excel, allowing the same business results to be examined through dashboards, spreadsheet summaries, and database queries.
• Requirement gathering is the first project step because the dashboard must reflect the client's requested analysis. Stakeholders are then identified as the people who will use the finished dashboard and derive insights from its results.
• The Power BI dashboard is dynamic and interactive, with slicers for road surface and weather condition. Selecting categories such as dry surfaces, snow, fine weather, or rain changes the displayed casualty values to match the chosen condition.
• Dashboard charts can work as quick filters, allowing users to select urban or rural areas, daylight conditions, or a road type such as dual carriageway. Each selection updates the other dashboard values to show the relevant level of detail.
• The road accident dashboard includes primary KPIs, vertically arranged secondary KPIs, an area chart comparing current-year and previous-year casualty trends, urban and rural analysis, a location map, a light-condition donut chart, and a road-type bar chart.
• The location map provides district or area detail through tooltips. Hovering over a mapped location reveals the number of casualties and the number of vehicles involved for that specific district or area.
• SQL validation is used to compare query results with values shown in Power BI, Tableau, or Excel. Matching values support submission to the client, while mismatches indicate that a dashboard calculation or displayed result requires investigation.
• The tutorial develops skills across DAX queries, date tables, conditional formatting, dashboard backgrounds, Tableau LOD calculations, complex CASE statements, SQL filtering and grouping, Excel pivot tables, data summarization, chart design, and chart formatting.

Questions & Answers

Q: How do you build an end-to-end data analyst portfolio project?

Begin by gathering requirements from the client and identifying the stakeholders who will use the analysis. Review the raw road accident data, connect the data or database to the selected tool, and clean or modify it for analysis. Create calculations, KPIs, charts, maps, and filters in Power BI, Tableau, and Excel, then use SQL queries to validate that the reported values match.

Q: What tools are used in the data analyst portfolio project?

The project uses four data analysis tools: Power BI, Tableau Desktop, Microsoft SQL Server, and Microsoft Excel. Power BI and Tableau are used to create interactive dashboards, SQL is used to answer business questions and validate results, and Excel is used to summarize data with pivot tables, functions, formatted charts, and a complete dashboard.

Q: What does the Power BI road accident dashboard show?

The Power BI dashboard shows primary KPIs, secondary KPIs arranged vertically, and an area chart for current-year and previous-year casualty trends. It also presents casualties by urban and rural conditions, casualties by location on a map, casualties by light condition in a donut chart, and casualties by road type in a bar chart.

Q: How do filters make the road accident dashboard interactive?

Road-surface and weather-condition slicers update the dashboard according to the user's selection, including categories such as dry surfaces, snow, fine weather, and rainy conditions. The charts also function as quick filters. Selecting urban or rural areas, daylight, or a particular road type changes the other dashboard values to reflect that chosen category.

Q: How are SQL queries used to validate dashboard results?

SQL queries calculate results for the business problems represented in the dashboards. Those query outputs are compared with the corresponding values in Power BI, Tableau, or Excel. If the values match, the analysis can be submitted to the client. If they do not match, the discrepancy signals that a query, calculation, filter, or displayed dashboard value needs to be reviewed.

Q: What SQL concepts are covered in the portfolio project?

The SQL portion moves from basic to advanced work and uses Microsoft SQL Server for demonstrations. It includes WHERE clauses, GROUP BY operations, ORDER BY operations, CASE functions, decimal functions, and other queries used to solve business problems. The provided data can also be uploaded to another database because the presented queries are described as usable beyond Microsoft SQL Server.

Q: What Tableau skills are demonstrated in the project?

The Tableau Desktop portion recreates the analytical dashboard with multiple charts, interactive filters, quick filters, sparklines, and KPIs. It also demonstrates how to calculate year-on-year growth and use level-of-detail, or LOD, calculations. These features support a dashboard that presents the road accident analysis through several connected visual and calculated elements.

Q: What Excel skills are included in the portfolio project?

The Excel portion builds the same style of dashboard step by step. It covers pivot tables for summarizing the data, functions used in the analysis, the creation of individual charts, chart formatting, and the design of the finished dashboard. The tutorial recommends Excel 2019 or Excel 2021 to obtain the expected result shown in the project.

Summary & Key Takeaways

• The project uses road accident data to demonstrate an end-to-end analytics workflow across Power BI, Tableau Desktop, Microsoft SQL Server, and Excel. It progresses from beginner concepts to advanced calculations, covering requirements, stakeholders, raw data inspection, database connections, data cleaning, analysis, dashboard construction, formatting, filtering, and result validation.

• The Power BI dashboard contains primary and secondary KPIs, current-year and previous-year casualty trends, urban and rural comparisons, location analysis, light-condition analysis, and casualties by road type. Road-surface and weather-condition slicers filter the report, while charts act as quick interactive filters that update the displayed values dynamically.

• The same analysis is recreated with Tableau charts, filters, sparklines, KPIs, year-on-year growth, and LOD calculations, then supported by SQL queries using clauses and functions such as WHERE, GROUP BY, ORDER BY, CASE, and decimal operations. Excel completes the project with pivot tables, summaries, functions, formatted charts, and a dashboard.