
Build a Tableau visualization that compares actual, budget, and outlook for 2017 by month. Use a running total, filters, and color palettes to distinguish data types.
Learn to create a year-over-year sales comparison in Tableau, displaying actual versus last year by month and running total, with outlook, filters, and color-coding.
Explore dynamic Tableau visualizations using parameters to switch between sales and profit and to drill into category or subcategory, powered by calculated fields with case when.
Create 1 percent stacked bars in Tableau using percent of total and category coloring. Add totals on top with a dual axis, synchronize axes, and refine labels for clarity.
Learn to visualize KPI indicators in Tableau by creating year-based sales measures (2017 vs 2016) with calculated fields and datepart, placing KPI shapes beside bars for quick insights.
Explore how to compare sales across two years in Tableau by visualizing subcategory trends, building calculated fields and boolean expressions, and using filters and color to highlight increases and decreases.
learn how to build a butterfly chart in tableau to compare sales and profit across subcategories, adjust labels, grid lines, and color by profit for clear business insights.
learn to create a donut chart in tableau by layering a white circle over a pie chart using dual axis, with labels showing total sales and subcategories.
Explore advanced map visuals in Tableau, combining geographic maps with pie charts and a dual axis, using longitudes, latitudes, and color palettes to reveal state-level profitability insights.
Explore how to apply the 80/20 rule in Tableau to identify top customers and costly outliers, using running total, percent of total, and reference lines for a wow chart.
Learn to build a dual-axis outlier chart in Tableau that highlights months where profits exceed upper or fall below lower bands using a window average and standard deviation.
How to become a Tableau Pro? Master Advanced Tableau in 3 hours.
Learn about complex business challenges and customer demands and how we solved them in a data analytics / visual analytics project.
Business Intelligence / Business Analytics is in high demand. Companies are constantly searching for ways to make better and faster decisions. Therefore they rely heavily on data. Data driven decision making is the key to success for any business in the world of tomorrow.
Because of that companies across industries are constantly desperately searching for skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights. This will be the key advantage to succeed in business.
A data analyst career is not only higly rewarding but also very interesting.
Tableau is, next to Power BI, one of the two leading data analytics / visual analytics solutions out there. It is state of the art and a powerful tool to explore your data.
"From my personal experience I can tell you that companies will actively searching for you if you master Tableau. Diving into data & analytics can not only immensly improve your career opportunities but also your job satisfaction!"
Tableau is also a great tool for datascience. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore Tableau can often be a valuable skill for datascience jobs.
What we learn in this course might also help you later with your Tableau certification exam
I have already created Power BI courses which cover the software in detail and help interested students to dive into this career path. Their feedback has encouraged me to offer a deep dive course for tableau as well. The result is this course. You get a visual analytics package where experience from various projects is combined to equip you with the best knowledge to succesfully do data analytics projects.
We will use Tableau Public during this Tableau training course so there is no need to pay upfront for software. We got a lot to do the next 3 hours. So let's get into it!