What you'll learn

Showcase the ability to integrate data from multiple sources and clean, transform, and prepare data for analysis in Tableau.
Demonstrate proficiency in using Tableau software to analyze business data and generate visualizations.
Develop interactive dashboards and reports to communicate insights derived from data analysis effectively.
Utilize data storytelling techniques to present findings and recommendations to stakeholders.

Details to know

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Assessments

8 assignments

Taught in English

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This course is part of the Tableau Data Analyst Certification Preparation Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

The Tableau Capstone Project allows you to apply what you've learned about making data-driven decisions to real business challenges companies face every day.

Effective business intelligence (BI) is crucial in decision-making and strategizing in today's data-driven business environment. This capstone project explores the utilization of Tableau, a leading data visualization tool, to enhance BI capabilities within an organization. The project will showcase how Tableau can convert raw data into actionable insights, enabling informed decision-making. This project begins by identifying key business objectives and data sources relevant to the organization's operations. You will learn about data cleaning and preparation processes to ensure data accuracy and consistency. You will use Tableau's visualization capabilities, interactive dashboards, and stories to showcase important KPIs, trends, and patterns within the data. By the end of this capstone, you'll be able to design the interactive dashboard and create an engaging story suitable to present to stakeholders. Upon completion of the course, you will have gained several Tableau business intelligence skills to include in your portfolio.

In this capstone project module, you will apply data cleaning and preparation techniques to improve data quality, ensuring it is accurate and reliable for analysis. You will also explore the impact of missing values on data quality and identify strategies to handle them effectively. By the end of this module, you will have cleaned and prepared data for basic data visualization and analysis.

What's included

3 videos1 reading2 assignments3 plugins

3 videosTotal 10 minutes

Course Introduction3 minutesPreview module
Project Overview4 minutes
Assignment Overview: Importing and Cleaning Data2 minutes

1 readingTotal 5 minutes

Course Welcome and Overview5 minutes

2 assignmentsTotal 30 minutes

Graded Quiz: Importing and Cleaning Data12 minutes
Checklist: Importing and Cleaning Data18 minutes

3 pluginsTotal 69 minutes

How to Make the Most of the Course5 minutes
Reading: Business Scenario and Data Details4 minutes
Hands-on Lab: Importing and Cleaning Data60 minutes

In this module, you'll explore Tableau's capabilities for data analysis and visualization, mastering the evaluation and selection of relevant data for exploration. You'll create interactive dashboards integrating visualizations and utilize Key Performance Indicators (KPIs) for meaningful outcomes.

What's included

2 videos4 assignments2 plugins

2 videosTotal 3 minutes

Assignment Overview: Basic Tableau Visualizations2 minutesPreview module
Assignment Overview: Advanced Visualization Using Tableau1 minute

4 assignmentsTotal 58 minutes

Graded Quiz: Basic Tableau Visualizations12 minutes
Graded Quiz: Advanced Visualization Using Tableau12 minutes
Checklist: Basic Tableau Visualizations20 minutes
Checklist: Advanced Visualization Using Tableau14 minutes

2 pluginsTotal 90 minutes

Hands-on Lab: Creating Basic Tableau Visualizations60 minutes
Hands-on Lab: Creating Interactive Dashboards in Tableau30 minutes

In this module, You'll create engaging stories in Tableau to present to stakeholders. You'll leverage insights to construct clear presentation, highlighting key indicators, trends, and anomalies for actionable recommendations. You’ll then present your findings. You’ll create a PowerPoint presentation telling a compelling story of your analysis. You’ll include screenshots from tasks performed throughout the course and links to dashboards as proof of completion. Finally, you’ll upload the presentation in a PDF format, which will be reviewed by your peers. You’ll also be reviewing a peer's submission.