
Begin mastering Tableau with an introductory overview of this course, outlining goals, structure, and the 20 real-world data visualization projects that drive hands-on learning.
Explore how this course uses Tableau across 20 real-world data visualization projects to guide learning.
Explore a Tableau dashboard built on 2016 Seattle Airbnb data from Kaggle to analyze bedrooms, prices, listing counts, seasonal revenue trends, and zip code price variations.
Explore joining Airbnb data in Tableau by importing listings and calendar tables, defining relationships, and building a price-by-zip-code visualization plus a color-coded map to identify profitable areas.
Explore revenue trends for Airbnbs across the year by building a weekly time-series visualization, filtering dates, and comparing bedrooms versus revenue to uncover optimal investment choices.
Examine Airbnb listings by bedroom count using the distinct count of listings to reveal market competition in Seattle, excluding nulls and zero, and assemble a dashboard of related visuals.
Explore how a Tableau project analyzes New Year's resolution tweets from 2016 and 2017, visualizing hours, tweet categories, gender distribution, and maps with filters and color coding.
Explore a guided Tableau project using new year resolution tweets from a csv dataset. Build category counts, hourly time-series, total tweets, and a location map, then assemble a dashboard.
Explore geographic data by mapping US states, color by tweet counts, and assemble a tiled dashboard with filters for region, time, category, and gender for a dynamic front-end visualization.
Learn to build a Tableau dashboard by connecting data, creating calculated fields and parameters, and tracking year-on-year KPI metrics like accidents and casualties using interactive cards.
Create tableau dashboard cards for key performance indicators of casualties by severity: fatal, serious, and slight, with current year, previous year, and year on year metrics.
Create sparklines for multiple cards in Tableau, using dual lines and area charts with synchronized axes to compare current and previous year, then assemble a PowerPoint-sized dashboard.
Create a Tableau dashboard by grouping vehicle types, building bar and stacked bar charts, pie charts for weather and road type, and map of serious casualties with filters and styling.
Create and customize pie charts in Tableau to visualize serious casualty data by weather conditions and road surface type, with labels, colors, filters, dashboards, and a map.
Build a map in Tableau by configuring latitude and longitude as geographic data, linking district details, and enriching tooltips with current year accidents, casualties, vehicles, and weather conditions.
Explore building an e-commerce sales dashboard in Tableau that tracks year-to-date sales, profit, and orders, with sparklines, market share donuts, category sales, and time-based rank ribbons.
Import a CSV dataset into Tableau, clean missing values, and create KPI dashboards with YTD and YoY sales, profit per order, and order quantity, including a donut chart.
Build a donut chart in Tableau to visualize market share by country using YTD sales, with calculated fields, percent of total, and customized labels.
Create a stacked bar chart of top-ten category YTD sales with PYTD sales and percentage difference, using a red-green diverging palette, then analyze market-wise monthly order quantities with dual-axis visuals.
Design an e-commerce ytd sales dashboard in Tableau by arranging KPI tiles, containers, and charts to visualize category sales, market acquisition, and year-over-year trends.
Explore a guided Tableau project using the Superstore sales dataset to build dashboards with key performance indicators like average discount, total profit, and daily sales analysis across two months.
Create a Tableau dashboard from the superstore sales dataset by building KPI visuals for sales, profit, order quantity, and average discount, then compare category wise sales across months and years.
Create a donut chart of total sales in Tableau with segment-wise labels, percent of total, currency formatting, then build category visuals and top customers for a final dashboard.
Master tableau by building a real-world dashboard with KPI metrics—average discount percentage, orders, quantity, profit, and sales—plus category wise sales, daily sales analysis, and a dual-axis donut chart for segmentation.
Build a credit card complaint dashboard in Tableau with metric cards, a density heat map, and weekly-to-yearly trends using a dummy data set.
Build KPI dashboards in Tableau using a credit card complaints dataset, creating total complaints, timely response metrics, and in-progress percentage insights as KPI cards.
Create a dynamic trend line dashboard in Tableau by adding a date field, a trend parameter, and a calculated field to toggle weekly, monthly, quarterly, and yearly trends.
Build a final Tableau dashboard with a density heat map of state complaints, a top ten issues view, a daily complaints heat map with filters, and a trend line.
Create an interactive tableau dashboard with three donut charts, filters, and a density map of global salary ranges, plus salary-by-position and experience comparisons for data science professionals.
Create a stacked bar chart of employee residence by country with top-ten filtering and labels, then map salary by country and compare salary by experience and employee type using filters.
Build a geographic map of average salary by country in Tableau, configure fields and colors, add a single-value job title filter, and prepare a cohesive dashboard.
Create and refine a final Tableau dashboard by assembling donut charts, a ring chart, a map, and filters for company location, job title, and employee residence to enable interactive analysis.
Explore an interactive Tableau dashboard built from a Kaggle dataset on Amazon Prime Video, featuring radial bar, donut, and area charts to analyze genres, duration, and country reviews.
Create a radial bar chart in Tableau to analyze Amazon Prime videos by genre, using calculated fields, joins, and Cartesian coordinates to visualize ratings and performance indicators.
Learn to build donut charts and area charts in Tableau, merging dual axes, styling labels, and visualizing top genres with stacked bars across release years.
Create and format text sheets in Tableau to display description, cast, release year, duration, and listed in genres, with a title filter, then assemble a cohesive Amazon Prime Video dashboard.
Build an interactive Amazon Prime Video dashboard in Tableau, featuring a top ratings radial bar chart, country and genre views, and area and donut charts for release year and type.
Explore a guided tableau project using a UK traffic collisions dataset, featuring an interactive map with tooltips and filters, plus a 2003–2020 injuries versus fatalities chart and donut charts.
Build and format donut, bar, and line charts, enhance an interactive map with tooltips, and analyze collisions over time by severity using Tableau.
builds an interactive Tableau dashboard to explore UK traffic collisions using density maps, weather and lighting vs fatalities, junction types vs injuries, and year trends with filters and tooltips.
Learning Tableau can be incredibly valuable for individuals and organizations alike due to its powerful capabilities in data visualization and analysis. Here are several compelling reasons why learning Tableau is beneficial:
Data Visualization Excellence: Tableau is renowned for its ability to transform complex datasets into insightful visualizations, making it easier to understand patterns, trends, and insights within data. Learning how to create effective charts, graphs, maps, and interactive dashboards can enhance your ability to communicate data-driven insights clearly
Data-Driven Decision Making: In today's data-driven world, the ability to make informed decisions based on data is crucial. Tableau enables you to analyze large and diverse datasets quickly, uncovering insights that might otherwise remain hidden. By learning Tableau, you empower yourself to contribute meaningfully to decision-making processes
Ease of Use: Tableau's user-friendly interface allows individuals with varying levels of technical expertise to work with data and create visualizations. Its drag-and-drop functionality and intuitive design make it accessible for beginners while offering advanced features for more experienced users
Interactive Dashboards: Tableau's interactive dashboards let you present data dynamically, allowing users to explore different facets of data on their own. This feature facilitates better engagement and understanding by enabling viewers to interact with visualizations and answer their specific questions
Career Opportunities: Proficiency in Tableau is a sought-after skill in many industries, including business, finance, healthcare, marketing, and more. Organizations are actively looking for individuals who can extract valuable insights from data and present them in an understandable and compelling manner
Effective Communication: Tables, charts, and graphs often communicate insights more effectively than raw data. Learning Tableau equips you with the tools to create compelling visual narratives, helping you convey your findings persuasively to both technical and non-technical audiences
Data Exploration: Tableau's data exploration capabilities allow you to delve into datasets from various angles, helping you identify trends, outliers, and correlations. This process can lead to deeper understanding and new perspectives on your data
Integration with Various Data Sources: Tableau can connect to a wide range of data sources, including databases, spreadsheets, cloud services, and more. Learning how to connect, transform, and blend data from different sources expands your ability to work with diverse datasets
Custom Calculations and Analytics: Tableau provides a powerful set of calculations and analytical functions that allow you to perform complex calculations, create custom fields, and generate new insights from your data
Community and Resources: Tableau boasts a large and active user community, which means there are numerous online resources, tutorials, forums, and user groups available. Learning Tableau becomes more enjoyable and effective with access to this supportive community
In essence, learning Tableau empowers you to harness the potential of data to inform decisions, solve problems, and communicate effectively. Whether you're an analyst, a business professional, a researcher, or anyone working with data, acquiring Tableau skills can significantly enhance your capabilities and open up new opportunities for growth
In this course you will work on 20 Tableau projects listed below:
Project-1: Revenue Analysis Dashboard: Business Insights and Trends
Project-2: AirBnbs in Seattle: Rental Market Analysis
Project-3: New Year Resolution Tweets: Social Media Analysis
Project-4: Road Accident in the UK: Safety Analysis
Project-5: Ecommerce Sales Dashboard: Sales Optimization
Project-6: Super Store Sales Dashboard: Retail Analysis
Project-7: Credit Card Complaints: Customer Feedback Analysis
Project-8: Data Science Career Dashboard: Job Market Trends
Project-9: Amazon Prime Video Dashboard: Streaming Insights
Project-10: Traffic Collision in Seattle: Safety and Traffic Analysis
Project-11: Video Game Sales Dashboard: Gaming Market
Project-12: IMDB Movie Review Dataset Dashboard: Film Insights
Project-13: Goodreads Dataset Dashboard: Book Analysis
Project-14: Friends Sitcom Dashboard: TV Series Data Analysis
Project-15: Amazon Sales Dashboard: Online Retail Insights
Project-16: Hollywood's Most Profitable Stories Dashboard: Film Analysis
Project-17: Netflix Dashboard: Streaming Service Performance
Project-18: TripAdvisor Hotel Review Dataset: Travel Analysis
Project-19: Breaking Bad Dashboard: TV Series Insights
Project-20: Customer Personality Analysis: Marketing and Sales Strategies