
Explore data visualization with Tableau Desktop through a hands-on, step-by-step guide that teaches you to connect multiple data sources, create charts and trends, analyze data, and share insights.
Navigate the Tableau home screen, connect to data sources, save data sources, and manage workbooks and worksheets to create charts and dashboards, with training and Tableau Public links.
Connect to files or servers, explore live vs extract data, and manipulate data with filters, renaming, aliases, calculated fields, grouping, and splitting to prepare visualizations.
Explore the worksheet interface in Tableau, classify fields as dimensions or measures, arrange them on shelves and marks, and use Show Me to create your first visualization.
Create a sales by region bar chart in Tableau, using the marks card to adjust color, labels, and details by segment, then rename the sheet and save the workbook.
Switch vertical and horizontal bar charts in Tableau Desktop by dragging, double-clicking fields, and using the swap rows and columns toolbar; customize with color by region on marks cards.
Plot sales and profit trends over time on a dual axis in Tableau Desktop, using measure names for color coding and to show their correlation.
Learn how to create a pie chart in Tableau by using a dimension and measures, visualize sales by segment, customize tooltips, labels, and percent of total, and save the workbook.
Create a text table in Tableau with the built-in table visualization to display sales by segment and category, then rename the worksheet.
Create a map visualization in Tableau using state as the geographic dimension and sum of sales as the measure. Color by sales, add state labels, and customize colors and tooltips.
Learn to use filters in Tableau worksheets to refine sales by region, create category filters, apply exclusions, and explore wildcard, condition, and top N options.
Learn to join orders and people tables within a single data source in Tableau Desktop, create inner, left, right, and full joins, and build charts showing sales by salesperson.
Create a comprehensive Tableau dashboard by assembling sheets into a grid layout, arranging charts, maps, and text, and adding images, web pages, and extensions for interactive stakeholder insights.
Create a story in Tableau by sequencing worksheets and dashboards to convey insights such as sales trends, regional performance, and year-over-year comparisons.
Continue learning Tableau by awaiting upcoming updates and new visualizations; provide feedback to influence scores and future lectures, and contact the instructor with questions while watching for email updates.
This course will provide you everything you need to start using and creating data visualization using Tableau 10 and Tableau 2019. You will learn how to use Tableau with confidence and develop various charts available in Tableau using multiple data sources and share your visualization with other.
This is the same course that I teach for colleges and universities and use to train my team and clients.
No experience required, gain Tableau skills that will take your career to next level or even start you in a new career.
What will you learn in this course - Note: This is a beginners level course and is designed to help beginners get a strong footing before they jump into advanced concepts.
Tableau Interface
Data Connection in Tableau
Worksheet interface - overview of cards, marks, show me, dimensions and measures
Develop your first chart
Plotting multiple measures on one chart - single axis and dual axis using bar charts and line charts
Connecting with multiple tables in s the same data sources as well as different data source
Creating a dashboard
Story telling with Tableau
Sharing your data with others
Much more to come in near future
Why you should learn from me?
I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts. I understand both the technology and marketing side of business. I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics.
I have extensively worked with companies like Microsoft, Starbucks, Wall Street Journal, ESPN, T-Mobile to name few and helped them Data Driven Marketing Decisions.
In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association.
I have an engineering degrees and an MBA.