Aug 8, 2023

Power Bi Projects Ideas for Data Analyst Resume: Beginner to Advanced

As a beginner trying to break into the world of data analysis, one of the most effective ways to enhance your skills and showcase your expertise is by working on Power BI projects. Power BI, being a prominent player in the analytics and business intelligence market, offers substantial advantages for Beginners as well as professionals seeking career opportunities and long-term growth. By including Power BI as a skill on your resume, you can leverage its widespread adoption to enhance your prospects and explore diverse career paths.

In this blog, we will explore a range of beginner to advanced level Power BI project ideas that are perfect for non-tech individuals. By completing these projects and incorporating them into your resume, you can demonstrate your proficiency in data analysis and stand out in the competitive job market.

What is Power BI?

Power BI is a business analytics tool developed by Microsoft. It provides interactive visualizations and business intelligence capabilities with an interface that is easy to use for both technical and non-technical users. With Power BI, you can connect to various data sources, transform and model the data, create reports and dashboards, and share insights with others.

Currently there are three ways one can access PowerBI:

  • PowerBI Desktop (Free to use desktop version)
  • PowerBI service (an Online paid service platform)
  • PowerBI mobile (Mobile App for any device)

Uses of Power BI:

Power BI has a wide range of applications across industries. Some of the common uses of Power BI include:

  1. Data Visualization: Power BI allows you to create interactive visualizations, charts, and graphs to represent data in a visually appealing and easy-to-understand manner.
  1. Data Analysis: Power BI enables you to analyze large datasets, identify trends, patterns, and outliers, and gain valuable insights from the data.
  1. Business Reporting: Power BI helps in creating interactive and dynamic reports that can be easily shared with stakeholders, enabling them to make data-driven decisions.
  1. Real-time Monitoring: With Power BI, you can connect to real-time data sources and monitor key metrics and KPIs in real-time, enabling you to respond quickly to changes and make informed decisions.

Now, let's explore the some Power BI project ideas suitable for data analysts:

Beginner level projects

1. Product Sales Data Analysis

Level: Beginner

Source: Microsoft fabric

Project Description: This project involves analyzing a company's sales data to identify profitable products, sales trends, and other significant factors. You can use a provided dataset containing sales and profit data sorted by market segment and country/region.

The sample dataset is provided by Microsoft, includes a table of sales and profit data categorized by market segment and country/region.

Dataset Link: Here.

2. Marketing Campaign Insights Analysis

Level: Beginner

Source: Microsoft

Project Description: This project focuses on evaluating the effectiveness of various marketing campaigns and analyzing the performance of different product groups and platforms. You can utilize a dataset from Kaggle that includes marketing data for this analysis. The dataset provides information about marketing campaigns, including campaign type, channels used, customer demographics, and campaign success metrics.

Dataset Link: Here.

3. Financial Performance Analysis

Level: Beginner

Source: databear

Project Description: For this project, you can optimize financial analysis for a firm providing accounting services. The goal is to deliver critical financial reports to clients promptly. You can explore a financial dataset from Kaggle to perform this analysis.

The dataset contains financial data of 4,400 public companies, including their financial statements, key metrics, and industry classifications.

Dataset Link: Here.

4. Healthcare Sales Analysis

Level: Beginner

Source: Data Cycle Analytics

Project Description: This project is focused on the Animal Healthcare sector and involves efficiently tracking the sales of products dedicated to treating minor animal species. You can utilize a pharmaceutical sales dataset available on Kaggle for this analysis. The dataset provides information on pharmaceutical sales, including product details, sales quantities, customer demographics, and geographical information.

Dataset Link: Here.

Intermediate level

5. Loan Application Analysis

Level: Intermediate

Source: trellance

Project Description: In this project, you will evaluate loan application data to identify abstract topics. These topics can then be used to assess the impact of specific loan types on the default rate. You can explore a loan application dataset available on GitHub for this analysis. The dataset includes loan application details, such as loan amount, loan type, borrower information, and loan outcome (default or not).

Dataset Link: Here.

6. Movie Sales Visualization

Level: Intermediate

Source: sqldusty

Project Description: This project aims to create an interactive visual experience by analyzing a dataset that shows movie sales over time. You can explore an IMDb dataset available on Kaggle for this visualization project. The dataset contains information about movies, including their titles, genres, release dates, box office sales, and user ratings.

Dataset Link: Here.

Advanced level

7. Airport Authority Data Analysis

Level: Advanced

Source: dribble

Project Description: The Airport Authority Data Analysis project aims to provide a comprehensive understanding of significant airport data. By analyzing the dataset, you can derive insights related to airport operations, passenger traffic, flight delays, and more. The dataset includes airport-related data, such as flight schedules, passenger numbers, airport facilities, and flight delay/cancellation information.

Dataset Link: Here.

8. Global Energy Trade Analysis

Level: Advanced

Source: Microsoft fabric

Project Description: This project explores various topics related to global energy exchange and production. It involves analyzing datasets to understand the expansion of wind energy, comparing energy consumption across nations, and other energy-related insights. The dataset provides information on international energy statistics, including energy production, consumption, and trade between different countries.

Dataset Link: Here.

By working on these Power BI projects, you can gain hands-on experience, develop your analytical skills, and create impressive visualizations to showcase on your data analyst resume. Remember to document your approach, methodologies, and insights derived from each project. Good luck with your Power BI journey!

We at Alphaa AI are on a mission to tell #1billion #datastories with their unique perspective. We are the community that is creating Citizen Data Scientists, who bring in data first approach to their work, core specialisation, and the organisation.With Saurabh Moody and Preksha Kaparwan you can start your journey as a citizen data scientist.

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