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Updated in [February 21st, 2023]
What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire skills and knowledge in connecting to data sources, basic chart formatting, sorting, filtering, basic calculations, common Tableau visualizations, dashboards and storylines. They will also be able to understand the fundamentals of Tableau and how to make use of it to interpret data in a visual form. Furthermore, they will be able to use Tableau 9.x and higher, even though the video series was created a few years ago. Finally, they will be able to use the knowledge gained from this course to apply to higher levels of Tableau.
How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the foundational understanding of Tableau and the ability to apply it to their own data sets. Learners will be able to connect to data sources, format basic charts, sort and filter data, create basic calculations, create common Tableau visualizations, and create dashboards and storylines. Furthermore, they will be able to use the knowledge gained from this course to apply to higher levels of Tableau. This course can be used as a stepping stone for learners to pursue a career in Business Intelligence Analysis, Data Science, Data Visualization Design, or Tableau Development. Additionally, learners can use the knowledge gained from this course to pursue a Bachelor of Science in Data Science, Master of Science in Business Analytics, Master of Science in Data Science, or Doctor of Philosophy in Data Science.
Is this course suitable for preparing further education?
This Tableau A Quick Start Guide course is suitable for preparing further education. Learners will gain a foundational understanding of Tableau and be able to apply it to their own data sets. They will be able to connect to data sources, format basic charts, sort and filter data, create basic calculations, create common Tableau visualizations, and create dashboards and storylines. This knowledge can be applied to higher levels of Tableau and to various career paths such as Business Intelligence Analyst, Data Scientist, Data Visualization Designer, and Tableau Developer. Additionally, this course can be used to prepare for higher education paths such as a Bachelor of Science in Data Science, Master of Science in Business Analytics, Master of Science in Data Science, and Doctor of Philosophy in Data Science.
