Tableau for Beginners: Get CA Certified, Grow Your Career
- 5 hours on-demand video
- 48 articles
- 16 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Sort, filter, slice, pivot, and graph using a Tableau Public, a free version of the market leading visualization tool.
- Combine multiple data sources using joins, blends, and unions.
- Create bar charts, pie charts, and line graphs.
- Create calculated fields with conditional logic.
- Map your data to quickly detect geographic variation.
- Create a dynamic dashboards combining multiple worksheets.
- Create trendlines and understand the relevant statistical metrics such as p-value and R-squared.
- Create forecasts with prediction intervals, accounting for seasonal variability.
- Take two full-length practice exams for the Tableau Desktop Certified Associate Exam.
- Use publicly available data to create visualizations on topics that interest you - anything from the economy to the Olympics.
- Familiarity with Excel is helpful, but not required.
- You should have access to a computer running Mac or Windows. The course will show you how to download and install the Tableau software.
Tableau is the solution that thousands of companies use today as they struggle with their big data issues. This course prepares you for the Tableau Qualified Associate Certification exam, and features three Full-Length Certified Associate Practice Exams with Solution Guide.
Are you looking to find a way to increase your salary and enjoy your work more? Why not turn to Tableau? Getting certified as a Tableau Qualified Associate can be the first step to achieving this goal. Tableau is not only great fun, it can be really lucrative. Imagine what your life would be like with a $100k salary!
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Working with Tableau isn't just lucrative - it's fun! And unlike most data analysis tools, Tableau uses a drag-and-drop interface, so you don't need to be a programmer to learn Tableau. If you can learn Excel then you can learn Tableau.
Learn and Apply Fundamental Skills
Get a step-by-step walk-through of the fundamentals of data visualization and data discovery with Tableau. You'll learn how to:
Sort, filter, and group your data
Create tables, bar charts, line charts
Show location using geographic maps
Aggregate with sum, average, min, max, and counts
Create new fields using calculations
Combine data using joins, blends, and unions
But just watching the videos won't make you an expert. For mastery, you need to go hands-on by answering questions that reinforce the skills from the videos. To go hands-on, you'll install the Public version of the Tableau software, which is available for free and easy to install on Mac or Windows. Then you'll download the sample data set included with the course, and Tableau to answer questions about this sample data.
Prepare for the Certified Associate Certification Exam
After completing the units on fundamental Tableau skills, solidify your knowledge by answer questions similar to those on the Tableau Qualified Associate certification exam. If you get stuck on a question, you can watch a video presenting the solution.
Course includes access to three full-length Tableau Certified Associate Certification.
The Certified Associate Exam was previously called the Qualified Associate exam, but was recently renamed.
The final part of the course is the final project where you use Tableau to create a unique visualization on a topic of your choosing using publicly available data. Save your project to the Tableau Public website and you'll have a project you can show potential employers.
- This Tableau course is meant for those who are looking to move forward in their career by building skills in data science and data visualization.
- Students who wish to prepare for the Tableau Certified Associate certification exam.
- This course is not intended for experienced Tableau users.
This course is designed for those who are new to Tableau, the market leading tool for data visualization and data discovery. Companies are struggling to make sense of their data and they are looking to hire analytics professionals who can use Tableau to turn raw data into the knowledge they need to run their business. This course will help you develop marketable skills with Tableau.
The best way to retain the skills and concepts covered in the videos is to learn by doing. Launch Tableau.and try creating visualizations similar to the ones you see in the video. Save your work to Tableau public and you'll have portfolio of work that demonstrates your skill.
Tableau Box and whisker plots allow you to view the distribution of your data and identify extremely large or extremely small values. You can quickly see the 25th percentile (also called the 1st quartile) the median (also called the 50th percentile or first quartile) and the 3rd quartile (also called the 75th percentile). The video will cover cover box and whisker plots and define quartiles and percentiles.
Segment your data by adding dimensions to a Tableau view. Adding dimensions to the column shelf will create column headers, while adding dimensions to the row shelf will create new row headers.
Groups combine multiple values in a dimension. Hierarchies establish a category-subcategory relationship so that you can drill down - for example, state and city. Sets are custom fields that define a subset of data based on some conditions. Learn how to use all three in this video.
Percents can often be more relevant than absolute numbers. You may be interested in understanding the percent that each product category contributes to profit, or which product categories are most profitable for each sales region. Tableau provides a lot of flexibility in calculating percentages, making it possible to show percentages by row, column, or subsection/pane.
Joins allow you to use data from two or more tables in a single Tableau view. There are different types of joins - with an Excel data connection you can do either a left join or an inner join. A left join ensures that all of the data from the first table is included, even if no match is found in the second table used in the join. An inner join will not include any data unless a match is found between the first and second table. If more than one match is found, more that one row will result from the join.