
Data Analytics Project
NICA: West Virginia
NICA is a non-profit organization dedicated to promoting and advancing the sport of mountain biking. With a passionate team of individuals, NICA is committed to fostering a vibrant community of riders and competitors across the state.
Tools Used

1
Tableau
Tableau Dashboards help stakeholders explore problems, issues, and questions.
You can guide users on how to interpret visualizations with commentary or additional information with visualizations
2
Excel
Excel simplifies data interpretation by presenting it in a clear and accessible format. Utilizing fundamental functions for calculations allows for efficient data analysis, breaking down complex information into easily understandable insights.
3
Data Visualization
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Interesting Data
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Complex ideas
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Least Ink
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Multivariate
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Truth
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Eye travel
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Proportions
The Process
Step 1: Consultation and Goal Alignment
We begin by engaging in a comprehensive discussion with our clients to understand their objectives, challenges, and key priorities. This collaborative approach ensures we align our strategies with their specific needs and goals.
Step 2: The ASK: Data Analysis and Insight Generation
Using the data provided by the organization, we focused on uncovering actionable insights that go beyond the initial information.
Step 3: Data Analysis and Interpretation
I conducted a thorough analysis of the data to gain a comprehensive understanding of the information.
Step 4: Data Visualization and Support for Insights
I employed a variety of data visualization techniques and tools to effectively illustrate and support key insights.
Step 5: We presented these findings through clear, easy-to-understand visualizations, ensuring the information is accessible to clients. We highlighted intriguing discoveries that spark curiosity and provide valuable perspectives for decision-making.

Skills Practiced: 💻 Writing Beginner/Intermediate Code 👩💻 Filtering & Summarizing Data 🔗 Sorting & Grouping Data

Key Learning Outcomes: - Load data and manipulate it - Tableau’s interface and connect - Present data using easy-to-understand visualizations - Dashboard-composition best practices, add interactive or explanatory elements

How Power BI services and applications work together. Explore how Power BI can make your business more efficient. How to create compelling visuals and reports.

Create common date tables Configure many-to-many relationships Resolve circular relationships Design star schemas
