
Learn how an analyst moved from excel to Tableau, building a semi-automated, biweekly dashboard system for 17 assortments to spot trends and improve demand planning.
Explore the differences between Excel and Tableau, contrasting Excel as a flexible spreadsheet with built-in calculations and charts against Tableau's robust data visualization and auto-refresh across data sources.
Compare Excel and Tableau for analyzing age demographics and marketing spend; build visualizations showing 18–25 and 26–35 groups, layer gender, and derive actionable ROI-focused insights to guide decisions.
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Learn to create a calculated column in Excel to compute margin before feeding data into Tableau, and compare Excel and Tableau workflows for scalable data preparation.
Combine multiple Excel tabs into one using VLOOKUP, pulling gender, age, and state from a customer ID with an exact match, and note data quality issues.
Connect a raw Excel file to Tableau, bring in the sample retail data with demographics such as age, gender, and state, and start building visualizations like bar charts.
Create a calculated field in Tableau to compute profit as gross sales minus cost, then derive margin by dividing profit by gross sales.
Learn how to blend data sources in Tableau to recreate vlookup by linking on customer id and age, using data relationships to pull fields like state and gross sales.
Explore the data pane, understand dimensions and measures, and turn a text table into a bar chart with color by gender, then label sales by age.
Master KPI indicator, total sales, and sales by state in Tableau, add a gender filter, and switch to a geomap with a heat map for clear geographic insights.
Combine sales by age, total sales, and sales by state into an interactive dashboard by dragging visuals and snapping to a grid, then drill down by age and state.
Turn Excel data into a Tableau reporting infrastructure by building dashboards that track KPIs and time-series sales and inventory by week. Toggle by assortments to spot trends and seasonality.
Connect to an Excel data source in Tableau, pull sales and inventory metrics, and construct a KPI chart with averages and currency formatting for the reporting infrastructure.
Build two line graphs of in-stock percentage by week and sales by week using time series data, formatting in-stock as average percentage and sales as currency for a dashboard.
Combine multiple Tableau worksheets into an interactive KPI dashboard that serves as the organization's reporting infrastructure, using custom relationships and an assortment ID filter to empower end users.
Update data sources to enable scalable KPI analysis of in-stock and sales over time by overwriting source files and refreshing dashboards, while managing autosave quirks and building automated data analysis.
Discover free Tableau content on my YouTube channel to grow your Tableau skills and career. Learn interview prep, communicating project value, and soft skills for networking with hiring managers.
Are you looking to break out of Excel and grow your career?
Demand for Tableau Skills is Up 1,581%... it's time you learn this skill as an analyst!
In this course you will learn:
The difference between Excel and Tableau
How to transition from an Excel based Analyst into a Tableau Developer
How to connect Tableau to Excel
How to join, union and blend data sources
How to build visualizations
How to build interactive dashboards
How to build a reporting infrastructure
Build a Reporting Infrastructure
In this course you will learn how to build infrastructure around reporting. This approach to analysis will help you scale your ability to communicate to your clients, boss or business owner. Instead of creating manual ad hoc reports like most Excel users, you will learn how to create interactive dashboards that will empower your end user to quickly see the analysis they need.
Content and Overview
This course is designed for those analysts who are fairly experienced with Excel and will provide a path forward towards more potent analysis through Data Visualization. We will walk through 2 case studies together. The first case study is designed to get your comfortable with Tableau then, in the second case study, we will move on to a real world use case where you will get to see the potency of Tableau.