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Complete Tableau with Space Data Analysis and Visualization
Rating: 3.6 out of 5(12 ratings)
148 students

Complete Tableau with Space Data Analysis and Visualization

Master Data Visualization and Analysis Techniques Using Real Space Data to Elevate Your Skills
Last updated 8/2024
English

What you'll learn

  • Gain comprehensive skills in using Tableau to create interactive and dynamic data visualizations that effectively communicate insights from space data.
  • Learn to import, clean, and analyze large datasets from space missions and satellite data, turning complex information into actionable insights.
  • Develop the ability to build sophisticated dashboards in Tableau, incorporating real-time data to monitor and present space-related findings.
  • Understand and apply advanced Tableau functionalities, including calculated fields, parameters, and statistical analysis, specifically tailored for space data.
  • Explore geospatial analysis techniques within Tableau to map and analyze space data, enhancing your ability to visualize spatial relationships & trends effects.

Course content

4 sections54 lectures6h 13m total length
  • Introduction1:29

    Explore the basics of Tableau in astronomy, covering overview, advantages, industry use cases, data science lifecycle, terminology, installation, and key starting practices for Tableau projects.

  • Overview of Tableau7:06

    Explore how Tableau supports business intelligence by transforming raw data into meaningful insights through data collection, processing, and analysis, culminating in interactive dashboards and worksheets with no programming skills required.

  • Advantages of using Tableau7:07

    Tableau offers user-friendly, drag-and-drop visualization with extensive tools, real-time data analysis, robust data-source integration, collaboration and mobile accessibility for scalable, interactive dashboards.

  • Use Cases of Tableau in different industries12:29

    Explore how Tableau converts data from retail, healthcare, and finance into meaningful dashboards and insights for sales, patient care, and fraud prevention.

  • Overview of Data Science5:20

    Explore the data science lifecycle and how Tableau fits into data analysis and visualization, from problem identification and data acquisition to wrangling, machine learning modeling, insights, and deployment.

  • How Tableau fits into the Data Science3:46

    Tableau fits into the data science lifecycle by enabling interactive visualizations for exploratory data analysis, revealing patterns, outliers, and correlations, while supporting storytelling, sharing, and collaborative iterative analysis.

  • Disadvantages of Tableau4:36

    Examine the main disadvantages of Tableau, including high licensing costs and inflexible pricing. Note concerns about poor customer support, with insights on Tableau Public versus Tableau Desktop for scalability.

  • Key Terminologies for Tableau10:29

    Explore the key Tableau terminologies—worksheets, dashboards, data source, dimensions and measures, extracts versus live connections, filters, parameters, calculated fields, marks and mark types, and stories—to build interactive, well-structured visualizations.

  • Installing Tableau Public in System3:13

    Follow a step-by-step guide to download and install Tableau Public, complete the setup and license terms, and launch Tableau Desktop Public Edition for hands-on space data visualization.

  • Things to keep in mind about Tableau Public2:06

    Explore Tableau Public's limited data connections to Excel, CSV, Google Sheets, and web data connectors; note reports are public by default and you can hide projects, with Google Sheets refreshes.

  • Important Note1:40

    Understand your data thoroughly to complete half the job. Then prepare the data to unlock the remaining work, create visualizations in Tableau, and drive data driven decisions.

  • Module 1 Conclusion0:36

    Conclude module 1 by building confidence with Tableau, demystifying key terminologies, and preparing you to become comfortable using the Tableau software in the next module.

  • Introduction to Tableau

Requirements

  • No Pre-requisites for this course. Open for Beginners.

Description

Welcome to "Complete Tableau with Space Data Analysis and Visualization," your comprehensive guide to mastering Tableau for insightful and interactive data visualizations using real-world space data. This beginner-friendly course is meticulously designed for data enthusiasts, space aficionados, and professionals looking to enhance their data analysis skills using one of the most powerful visualization tools available—Tableau.

Project Intro Video

Kickstart your journey with a captivating project introduction that sets the stage for what’s to come. Understand the objectives and outcomes of the course and get motivated to dive into the world of data visualization with space data.

Module 1: Introduction to Tableau

This foundational module is your first step towards becoming proficient in Tableau. You will:

  • M1 - Intro: Get an overview of the module.

  • M1V1 - Overview of Tableau: Learn what Tableau is and its primary features.

  • M1V2 - Advantages of Using Tableau: Understand the benefits of using Tableau over other data visualization tools.

  • M1V3 - Use Cases of Tableau in Different Industries: Discover how Tableau is applied across various sectors.

  • M1V4 - Overview of Data Science: Gain a brief introduction to data science and its importance.

  • M1V5 - How Tableau Fits into Data Science: See how Tableau integrates into the data science workflow.

  • M1V6 - Disadvantages of Tableau: Learn about some of the limitations and challenges of using Tableau.

  • M1V7 - Key Terminologies for Tableau: Familiarize yourself with essential Tableau terminologies.

  • M1V8 - Installing Tableau Public in System: Step-by-step guide to installing Tableau Public.

  • M1V9 - Things to Keep in Mind About Tableau Public: Important considerations when using Tableau Public.

  • M1V10 - Important Note: Key takeaways from the module.

  • M1 - Outro: Wrap up the introductory module.

Module 2: Getting Started with Tableau Public Software

In this module, you’ll get hands-on experience with Tableau Public:

  • M2 - Intro: Introduction to the module.

  • M2V1 - Introduction to Tableau Public Workbook: Navigate through the Tableau Public Workbook.

  • M2V2 - Learn Tableau and Viz of the Day: Explore Tableau’s learning resources.

  • M2V3 - Data Connectors: Understand how to connect to different data sources.

  • M2V4 - Menu Bar: Overview of the menu bar in Tableau.

  • M2V5 - Intro to Worksheet: Introduction to creating worksheets.

  • M2V6 - Data Pane: Learn about the data pane and its components.

  • M2V7 - Create Multiple Worksheets: Practice creating and managing multiple worksheets.

  • M2V8 - Create Dashboard: Learn to create comprehensive dashboards.

  • M2V9 - Create Story: Develop stories to present your data visually.

  • M2V10 - Test Your Skills: Solve Mini Problem Statements: Apply your knowledge to solve real-world problems.

  • M2V11 - Hierarchy, Group, and Set | Theory: Theoretical understanding of hierarchy, group, and set.

  • M2V12 - Hierarchy in Tableau: Implement hierarchy in your data.

  • M2V13 - Group and Set in Tableau: Learn grouping and setting data in Tableau.

  • M2V14 - Calculated Fields: Introduction to creating calculated fields.

  • M2 - Outro: Conclusion of the module.

Module 3: Space Missions Analysis

Dive deep into analyzing space missions:

  • M3 - Intro: Introduction to the module.

  • M3V1 - Understanding the Problem Statement 1: Define the first problem statement.

  • M3V2 - Understanding the Dataset: Explore and understand the space mission dataset.

  • M3V3 - Adding Data Source in Tableau: Learn to add data sources to Tableau.

  • M3V4 - Worksheet 1: Mission Count By Year: Create a worksheet to count missions by year.

  • M3V5 - Worksheet 2: Mission Success Rate: Analyze the success rate of missions.

  • M3V6 - Worksheet 3: Top N Companies by Missions: Identify top companies based on mission counts.

  • M3V7 - Worksheet 4: Mission Status by Company: Analyze mission status by company.

  • M3V8 - Dashboard Preparation: Prepare dashboards for presentation.

  • M3V9 - Adding Mission Trend to Dashboard: Add mission trend analysis to your dashboard.

  • M3V10 - Adding Top N Companies to Dashboard: Include top companies in your dashboard.

  • M3V11 - Adding Mission Success Rate to Dashboard: Visualize mission success rates on your dashboard.

  • M3V12 - Adding Image Objects to Dashboard and Final Adjustments: Enhance your dashboard with images and final adjustments.

  • M3 - Outro: Wrap up the module.

Module 4: Rocket Launches Analysis

Analyze rocket launches with detailed worksheets and dashboards:

  • M4 - Intro: Introduction to the module.

  • M4V1 - Understanding the Problem Statement 2: Define the second problem statement.

  • M4V2 - Worksheet 1: Launches Per Country: Create a worksheet for launches by country.

  • M4V3 - Worksheet 2: Launches per Company: Analyze launches by different companies.

  • M4V4 - Worksheet 3: Rocket Status: Understand the status of rockets.

  • M4V5 - Worksheet 4: Launches Over Time: Visualize launches over time.

  • M4V6 - Tooltip Formatting and Customization: Customize tooltips for better data presentation.

  • M4V7 - Dashboard Preparation: Prepare and design your dashboard.

  • M4V8 - Customizing the Dashboard (All at once): Customize all elements of your dashboard.

  • M4V9 - Creating Story: Create a compelling story with your data.

  • M4V10 - Adding the Story to Tableau Public: Publish your story to Tableau Public.

  • M4 - Outro: Conclude the module.

Project Outro Video

Summarize your learning experience and celebrate your newfound skills in data visualization with space data using Tableau.

Join us in this exciting journey to unlock the power of Tableau and transform space data into captivating visual stories that speak volumes. Enroll now and start your path to becoming a Tableau expert!

Who this course is for:

  • Data analysts seeking advanced Tableau skills.
  • Space enthusiasts interested in data visualization.
  • Professionals analyzing satellite and space data.
  • Beginners wanting comprehensive Tableau training.