Virtual Tableau Data Visualization Intern

Duration: 4 Weeks  |  Mode: Virtual

Yuva Intern Offer Letter
Step 1: Apply for your favorite Internship

After you apply, you will receive an offer letter instantly. No queues, no uncertainty—just a quick start to your career journey.

Yuva Intern Task
Step 2: Submit Your Task(s)

You will be assigned weekly tasks to complete. Submit them on time to earn your certificate.

Yuva Intern Evaluation
Step 3: Your task(s) will be evaluated

Your tasks will be evaluated by our team. You will receive feedback and suggestions for improvement.

Yuva Intern Certificate
Step 4: Receive your Certificate

Once you complete your tasks, you will receive a certificate of completion. This certificate will be a valuable addition to your resume.

In this virtual internship, you will immerse yourself in the Tableau Training Course and learn how to transform raw data into powerful visual stories. You will work on real-world simulated projects, designing interactive dashboards and visual analytics that drive insights. Mentored by industry experts, you will learn data preparation techniques, effective visualization strategies, and best practices for presenting data visually. This role is tailored for students with no prior experience, ensuring a supportive, step-by-step approach to mastering data visualization and storytelling using Tableau.
Tasks and Duties

Objective

This week, you will focus on developing a strategic plan to design your own interactive data visualization concept using Tableau. The objective is to understand the importance of planning and strategizing in data visualization projects. You will choose a publicly available dataset related to any domain of your interest (e.g., economy, health, environment) and draft a comprehensive plan to create a dynamic Tableau dashboard. Your plan should include the problem statement, target audience, key research questions, and initial design ideas for visualizations.

Expected Deliverables

Your final deliverable must be a DOC file that includes: a detailed written plan, a conceptual outline of your intended dashboard, mockups or sketches (if any), and justifications for the chosen visualizations. Ensure that your document clearly outlines your approach and expected outcomes.

Key Steps

  1. Research and select a suitable publicly available dataset.
  2. Define a clear problem statement along with research questions.
  3. Create a mind map or draft outline of your visualization plan.
  4. Develop mockups or preliminary sketches of the potential dashboard layout.
  5. Write a detailed explanation of how your plan aligns with best practices from the Tableau Training Course.

Evaluation Criteria

Your submission will be evaluated based on clarity, depth, creativity, and adherence to a structured plan. The evaluation will emphasize the logical layout of the plan, the relevance of the research questions, the justification of visualization choices, and the overall coherence of the strategy. You are expected to invest approximately 30-35 hours in researching, planning, and documenting your approach. This task will build a strong foundation for subsequent hands-on exercises in Tableau.

Objective

This week focuses on the data acquisition and preparation phase, which is crucial for successful data visualization. You are required to select a publicly available dataset and perform an exploratory data analysis (EDA) to understand its features, strengths, and limitations. Your goal is to prepare a clean, structured, and ready-to-use dataset that facilitates the creation of effective Tableau dashboards. Additionally, you will create a storyboard that outlines the flow of your data story, linking key insights to potential visual components.

Expected Deliverables

Your deliverable for this week is a comprehensive DOC file that includes a detailed report of your data acquisition process, data cleaning steps, EDA findings, and a storyboard layout for your dashboard. The report should be structured and include sections for data description, cleaning methods, initial analysis, and visualization planning.

Key Steps

  1. Select an appropriate public dataset and document its source.
  2. Conduct a thorough EDA using any tool of your choice, and summarize your findings.
  3. Outline the data cleaning process employed to make the dataset suitable for visualization.
  4. Create a storyboard that captures the progression of your data story with notes on potential Tableau visualizations.
  5. Connect your analysis to concepts learned in the Tableau Training Course.

Evaluation Criteria

Submissions will be assessed based on detail, organization, and analytical depth. We will look for clear documentation of the data cleaning process, insightful EDA observations, and a logical storyboard that effectively maps your intended data journey. Attention to detail and justifications for each step taken will be critical. Aim to seamlessly integrate your analysis with visualization concepts taught in the course, and ensure that the submission is in a DOC file format.

Objective

This week is dedicated to translating your planning and data preparation work into the design of a structured Tableau dashboard. You will focus on executing multiple interactive visualizations that allow end users to interact with the data effectively. Your task is to design a dashboard layout that ties together several data views, each emphasizing different insights. This exercise aims to hone your skills in structuring dashboards for storytelling and clear data communication.

Expected Deliverables

Submit a DOC file containing a report that outlines your dashboard design process. Your document should include the following: a detailed explanation of your visualization choices, design mockups, and an illustrative description of interaction features (such as filters, drill-downs, and hover actions) planned for your Tableau dashboard.

Key Steps

  1. Review your storyboard from Week 2 and define the key visualizations to include.
  2. Outline a draft layout for your dashboard, mapping out where each visualization component will appear.
  3. Describe interactive elements and how they contribute to the overall narrative.
  4. Provide a rationale for each design decision made, referencing best practices from your Tableau Training Course.
  5. Detail any challenges foreseen and how you plan to address them during the implementation phase.

Evaluation Criteria

The evaluation of this task will be based on creativity, technical planning, and the clarity of your design documentation. We will assess whether the design logically connects the different visual components, enhances user interaction, and accurately captures the essence of the data story. Remember to invest sufficient time (about 30-35 hours) in crafting a thorough and creative document that aligns with the core principles of interactive Tableau dashboards.

Objective

For the final week, you will simulate a comprehensive evaluation and project review of your Tableau dashboard design and progress. This task requires you to critically analyze your work thus far and suggest actionable improvements and optimization strategies. The objective is to document the strengths, identified weaknesses, and potential enhancements regarding dashboard performance, data accuracy, and clarity of visual elements, all while integrating feedback and iterative improvements. Focus on refining your approach by aligning technical functionalities with best practices in data visualization.

Expected Deliverables

Your final deliverable is a DOC file that encompasses a detailed evaluation report. This document should include an overview of your dashboard design process, a critical review of its current implementation, a list of recommendations for improvement, and a proposed timeline for potential optimizations. Your write-up should be thorough and analytical, ensuring it addresses both successes and areas needing improvements.

Key Steps

  1. Review and summarize your dashboard design and implementation work accumulated over the past weeks.
  2. Critically evaluate the effectiveness of each visualization and interaction element.
  3. Identify areas where the visualizations may lack clarity or fail to provide actionable insights.
  4. Develop a set of detailed recommendations for enhancing the dashboard (e.g., improved filters, layout adjustments, alternative visualization types).
  5. Justify your recommendations using best practices from the Tableau Training Course and data visualization theory.

Evaluation Criteria

Your submission will be judged on the depth of critical analysis, thoroughness in identifying potential improvements, and clarity of the optimization strategy. Your evaluations should be supported with well-articulated reasoning and relevant references to visualization concepts. It is essential to demonstrate not only an understanding of effective dashboard design but also a commitment to iterative improvement. Expect to dedicate approximately 30-35 hours to drafting, revising, and finalizing this reflective documentation.

Related Internships

Virtual Machine Learning Innovator Intern

As a Virtual Machine Learning Innovator Intern, you will work with our team to apply machine learnin
5 Weeks

Virtual AI Innovation Intern

This virtual internship is designed for students with no prior experience who are eager to explore a
6 Weeks

Virtual Content Innovation Intern

As a Virtual Content Innovation Intern, you will use the skills acquired from the Content Writing Co
4 Weeks