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Use Case
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As more and more data is available in various industries, there's a growing need for easy-to-use tools that help make sense of this data. One important skill in this field is storytelling with data. This means taking a set of data and presenting it in a way that reveals patterns and insights. Tableau is a tool that makes this process efficient and interesting. With the abundance of data, tools like Tableau help analyze it and present accurate conclusions, giving a clear direction to the analysis. But why tableau, let's find out.
In 2023, more than 71,595 companies worldwide have started using Tableau Software as a data visualization tool. Tableau has a big group of over 220,000 users who are experts in working with data. In India, Tableau is really popular and in demand in the competitive IT field. Big companies like IBM, Wipro, Infosys, TCS, and Tech Mahindra are always searching for skilled developers who know how to use Tableau. If you want to build custom dashboards, Tableau is a good choice.
Now that you've learned the fundamentals of Tableau, the next step is to apply your knowledge to real-world problems. This practical experience is valuable for your portfolio as a data analyst or business intelligence analyst. Companies highly value individuals who have hands-on experience with projects.
To help you stand out, we've created a list of 7 Tableau projects in the data science domain. Completing these projects and showcasing them on your resume will highlight your skills and make you more appealing to potential employers.
Level: Beginner Level
The goal of this project is to utilize the COVID-19 Open Data Repository to analyze and visualize the global impact of the virus. We aim to explore the virus's spread, understand COVID-related deaths, study vaccine effects, and investigate how socioeconomic factors may influence the pandemic's dynamics.
For this project, we will be using Tableau, a powerful data visualization tool.
Data Analysis Skills, Understanding Pandemic Dynamics, Socio-Economic Impact, Visualization Techniques.
You'll start by downloading COVID-19 data from the Open Data Repository. Then, using Tableau, you'll create visualizations that make it easy to comprehend complex information. This project isn't just about numbers; it's about understanding the real-world impact of the pandemic. You'll explore how different regions are affected, study the correlation between socioeconomic factors and the virus's dynamics, and gain valuable skills in data analysis and visualization that can be applied to various scenarios.
Level: Beginner to Intermediate
The goal of this project is to analyze a dataset of US cars, extracting insights and patterns from various features such as price, brand, mileage, and more. Understand the characteristics of the cars listed on AUCTION EXPORT.com and uncover trends in the US used car market.
Use Tableau for data visualization and analysis. Basic data preprocessing can be done using tools like Excel or Python if needed.
Data Exploration, Visualizing Car Features, Geographical Analysis, Understanding Market Trends
This project involves working with a dataset of US cars, exploring details such as price, brand, mileage, and more. Use Tableau to create visualizations that provide a clear picture of the characteristics of cars available for sale. Additionally, analyze geographical trends to understand where these cars are predominantly listed.
Through this project, you'll gain hands-on experience in data visualization and analysis, specifically focusing on insights into the US used car market. It serves as an introduction to the basics of data exploration and visualization using Tableau while exploring real-world data related to the automotive industry.
Level: Beginner to Intermediate
The aim of this project is to analyze a well-cleaned dataset of books from Goodreads. Explore key features such as ratings, reviews, and popularity to understand patterns and trends in book preferences.
Use Tableau for data visualization and analysis. The dataset is already well-cleaned, so no additional preprocessing is required.
Exploring Book Data, Visualizing Book Preferences, User Engagement Analysis, Insights into Reading Habits
This project involves working with a well-cleaned dataset of books from Goodreads, exploring features such as ratings, reviews, and popularity. Use Tableau to create visualizations that provide insights into book preferences and user engagement.
The dataset has been curated to focus on essential features, making it suitable for analysis without the need for extensive data cleaning. Through this project, you'll gain practical experience in data visualization and analysis, specifically focusing on the world of books and reading preferences. It serves as an introduction to using Tableau for exploring patterns in a curated dataset related to literature and reading.
Level: Beginner to Intermediate
The aim of this project is to analyze the dataset containing 42,000 reviews from visitors to Disneyland branches in Paris, California, and Hong Kong. Explore the ratings, visitor sentiments, and trends over time to understand the park's performance.
Use tools like Excel, Python, or R for data analysis. Visualization tools such as Tableau or Excel charts can be employed for creating visual representations of the data.
Sentiment Analysis, Trend Analysis, Geographical Insights, Data Visualization
This project involves working with a dataset of Disneyland reviews, examining factors like ratings, visitor sentiments, and trends over time. Analyze how ratings vary across Disneyland branches and explore insights into visitor experiences.
Use tools like Excel or Python for data analysis, and visualize your findings to make them easy to understand. This project provides a practical introduction to data analysis and visualization while focusing on real-world feedback from Disneyland visitors. It offers a glimpse into the factors influencing visitor satisfaction and allows you to draw meaningful conclusions from the dataset.
Level: Intermediate
The aim of this project is to analyze a dataset containing information about video game sales, including factors like critic and user scores, developer details, and ESRB ratings. Explore patterns, trends, and relationships within the data to gain insights into the gaming industry.
Use Tableau, a powerful data visualization tool, to analyze and visualize the dataset. Additionally, tools like Excel or Python can be used for any necessary data preprocessing or cleaning.
Sales Trends, Impact of Scores, Developer Influence, ESRB Ratings Impact
This project involves diving into a dataset that provides insights into the video game industry, including sales figures, critic and user scores, and developer details. Using Tableau, you'll create visualizations to uncover patterns and relationships within the data.
Explore how different factors such as critic scores, user scores, and ESRB ratings contribute to the success of video games. Gain a practical understanding of data analysis and visualization, specifically in the context of the gaming industry. This project is an opportunity to draw meaningful conclusions from real-world data related to video game sales and popularity.
Level: Intermediate
The aim of this project is to analyze the IMDB dataset containing 50,000 movie reviews for natural language processing. The goal is to gain insights into sentiment patterns and predict whether reviews are positive or negative using classification or deep learning algorithms.
Utilize Tableau for data visualization and analysis. Additionally, employ natural language processing (NLP) tools or deep learning frameworks for sentiment analysis.
Sentiment Analysis, Classification Algorithms, Deep Learning for NLP, Data Visualization for Insights.
This project involves working with a dataset of 50,000 IMDB movie reviews to perform sentiment analysis. Using Tableau, you'll create visualizations to showcase insights into the sentiment patterns within the dataset. Additionally, explore the application of classification or deep learning algorithms to predict whether reviews are positive or negative.
Through this project, you'll gain hands-on experience in leveraging data visualization tools and implementing machine learning techniques for text analysis. It provides a practical introduction to analyzing and understanding sentiments in large text datasets, particularly in the context of movie reviews from IMDB.
Level: Intermediate to advanced
The aim of this project is to leverage data analytics and business intelligence to provide AtliQ Grands with actionable insights into their revenue management, enabling them to regain market share and optimize revenue in the luxury/business hotels category.
Tableau for data visualization and business intelligence operations. Excel and python for data preprocessing and cleaning.
Data Analysis and Visualization, Revenue Management Strategies, Dashboard Design
This project involves importing, cleaning, and analyzing the provided dataset to generate key metrics outlined by stakeholders. The focus is on creating a visually appealing and informative dashboard in Tableau, allowing the revenue management team at AtliQ Grands to make informed decisions. By completing this project, you will develop practical skills in data analysis, visualization, and business intelligence, specifically in the context of revenue management for luxury/business hotels.
In conclusion, these Tableau projects offer a fantastic opportunity to apply data science skills to real-world scenarios, ranging from revenue management in the hospitality industry to analyzing the impact of global events like COVID-19. With Tableau's widespread use in the industry and its demand by major companies, completing these projects enhances one's proficiency in data analysis and visualization, making the individual stand out in the competitive IT field. Whether exploring movie reviews, video game sales, or understanding trends in the used car market, these projects provide valuable hands-on experience and a compelling addition to a data scientist or analyst's resume.
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