
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.
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.
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.
Explore how Tableau converts data from retail, healthcare, and finance into meaningful dashboards and insights for sales, patient care, and fraud prevention.
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.
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.
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.
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.
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.
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.
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.
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.
Explore the different aspects of Tableau for astronomy across 14 videos in module two, with a 10th video summary, mini problem sets, theoretical parts, and calculated fields in Tableau.
Explore the Tableau Public workbook interface, identify the default workbook name, and anticipate upcoming videos detailing the left and right panels and the top data and help menus.
Explore Tableau Public essentials, learn Tableau, and discover viz of the day to create interactive dashboards. Save work locally, publish to Tableau Public, and practice with astronomical data sets.
Explore data connectors in Tableau Public, including flat files like Excel and CSV, spatial and statistical files, plus OData and Google Drive options, with a hands-on Excel connection.
Explore the Tableau Public menu bar, including file, data, window, and help. Create and open workbooks, publish to Tableau Public, manage data sources, and access help.
Learn the Tableau worksheet basics: connect data sources, explore data types, and use the data pane and shelves (rows, columns, filters) to create visualizations with Show Me.
Explore the data pane in Tableau Public, distinguish dimensions from measures, and learn to identify and change default data types, using drag-and-drop to build worksheets.
Create multiple worksheets to visualize net profit by region with bar, pie, and map visuals, and customize with sorting, swapping orientation, tooltips, labels, and colors.
learn to create dashboards by combining worksheets, renaming sheets, and arranging visuals; apply filters, adjust layout, and explore auto and fixed sizing options.
Learn to create a story in Tableau by combining worksheets and dashboards into a multi-page presentation, to clearly present sales, profits, and regional strategies to stakeholders.
Practice Tableau data preparation by solving problems: rename star type to uppercase, check data types, hide absolute magnitude, split star type, and build two worksheets, a dashboard, and a story.
Explore hierarchies, groups, and sets in Tableau theory, explaining drill-down and roll-up with hierarchies, grouping logic, and the non-aggregate nature of sets, using the superstore dataset.
Create a location hierarchy in Tableau by dragging country, region, state, city, and postal code to enable drill-down sales analysis and explore the default date hierarchy and map visuals.
Learn to create groups and sets in Tableau, using subcategories and profits to reveal losses and profits, with pin-based grouping and explicit non-aggregated sets as filters.
Learn to create calculated fields in Tableau using string and numeric functions (upper, lower, left, split, contains, abs) for text transformation, extraction, and conditional visuals like sales over 100k.
Conclude module two by revisiting Tableau concepts, boost confidence to complete the program, and preview module three's project with theoretical aspects introduced and implemented in Tableau.
Begin module three by creating multiple worksheets and a final dashboard in Tableau for astronomy, using a dataset with many columns and problem statements generated by ChatGPT.
Explore space mission data from 1957 to 2020 in Tableau, building a dashboard with four worksheets: mission count by year, success rate, top companies by missions, and status by company.
Identify key columns in a space launch dataset in Tableau, split rocket and mission details, remove nulls, and prepare data sources for worksheets and dashboards.
Connect the space analysis csv in Tableau, hide unused fields, split location to country, convert date to date type, extract launch vehicles and missions, then prepare worksheets.
Create a line chart of mission count by year in Tableau to visualize the trends of space missions over time, using date range filters and a straightforward count measure.
Visualize mission success rate in Tableau by building a donut from pie charts, using percent of total and a grouped failure category. Save your workbook or publish to Tableau Public.
Create a top n companies heatmap in Tableau to highlight the most mission-active space companies, using a parameter to control n and applying filters across worksheets.
Build a stacked bar chart to compare mission status by company, highlighting counts of successful missions, partial failure missions, and failure missions to inform dashboard insights.
Build a tableau dashboard from scratch by dragging worksheets into a starry background. Include mission trend, donut chart, mission status by company, and filters for dates and top end companies.
Add the mission trend as a floating dashboard widget, customize colors and typography, rename it to Space Mission Trend, and remove axes and gridlines for a clean view.
Add the top N companies heatmap to a Tableau dashboard, copy formatting from the first worksheet, adjust titles and borders, and finalize a neat, consistent view.
Add mission status and mission success rate to a Tableau dashboard, tailor formatting and colors, and implement filters and a top 15 parameter to focus on key companies.
Add image objects to a space mission dashboard in Tableau, including a title worksheet and logo. Use a dashboard filter to synchronize charts and reveal success rates.
Conclude module 3 by reflecting on a Tableau dashboard visualizing space missions from 1957 to 2020 and preview upcoming advanced techniques and ChatGPT-generated problem statements.
Begin module four of Tableau for astronomy by creating four worksheets, customizing tooltips, building a from-scratch dashboard, assembling a story with multiple dashboards, and publishing to Tableau Public.
Explore the rocket launches dashboard with four worksheets—maps of locations, rocket usage by company, status, and launches over time by location—using the same space data set.
Create a Tableau map of launches per country using the count of launch vehicles and color intensity to indicate activity; learn to group, alias, and resolve unknown locations for geography.
Create a bubble chart in Tableau to visualize launches per company, with a filter to select the company and a dynamic title reflecting the chosen company.
Build a Tableau pie chart to visualize rocket status, displaying active versus retired launch vehicles using distinct counts, with percentage of total labels and clean formatting.
Explores building a launches over time chart by location in Tableau, using a stacked bar chart with country filters and groupings to reveal regional trends.
Learn to format and customize tooltips in Tableau by highlighting countries on a map, displaying distinct launch vehicle counts, and harmonizing colors and labels for clear insights.
Design a Tableau dashboard by planning layout, adding a space-themed background, and arranging map, packed bubble charts, a pie chart, and a stacked bar chart with active and retired filters.
Create a dashboard from scratch in Tableau, then customize filters, maps, bubble charts, and rocket status visuals to explore launches by country and company.
learn how to build a multi-dashboard story in Tableau by adding an intro and outro, drag and drop dashboards, and ensure filters apply only to selected worksheets across space missions.
Save your Tableau workbook to a Tableau Public profile by creating an account and signing in to showcase the space data dashboard and story.
Conclude module by building one Tableau dashboard and story from star data, using luminosity, radius, absolute magnitude, spectral type, and color, with ChatGPT ideas and Instagram sharing.
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!