Tableau Online Certification Course
(All course fees are in USD)
Course Description
The Tableau Online Certification training helps you learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of statistics, data mapping, and establishing data connections and be prepared for the Tableau Desktop 10 Qualified Associate exam.
Offered in Conjunction with
Simplilearn
Course Delivery
- Online self-paced learning (4.7 hours)
- Virtual classroom training (32 hours)
Total blended online learning: 36.7 hours
Benefits
Tableau has regularly been ranked as a “leader” in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Proficiency in Tableau is extremely valued in the field of analytics as it is a preferred reporting tool for enterprises around the world.
Skills to be Learned
- Tableau statistics
- Building interactive dashboards
- Arithmetic logical LOD calculations
- Heat map waterfall Pareto
- Clustering forecasting techniques
- Custom geocoding radial selections
- Special field types
Award upon Successful Completion
Tableau Desktop Certified Associate “Certificate of Achievement” issued by Simplilearn
Awarding Organisation
Simplilearn
Certification Alignment
This course would prepare you for the Tableau Desktop Certified Associate exam.
Remarks
Background Info of the Tableau Desktop Certified Associate exam.
(1) Exam Format
Based on the current info, the Tableau Desktop Certified Associate exam consists of 36 questions to be answered in 2 hours. The questions are multiple-choice, multiple answer, true/false, and hands-on type. The passing score of the exam is 75%.
(2) Validity Period of Tableau Desktop Certified Associate title
Once achieved, the Tableau Desktop Certified Associate title is valid for two years.
(3) Practice Test
We provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this free Tableau Certification Question Dumps to understand the type of tests that are part of the course curriculum.
Learning Outcomes
By the end of this Tableau training, you will be able to accomplish the following:
- Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
- Understand metadata and its usage
- Work with Filter, Parameters, and Sets
- Master special field types and Tableau-generated fields and the process of creating and using parameters
- Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
- Master the concepts of data blending, create data extracts and organize and format data
- Master arithmetic, logical, table, and LOD calculations
Assessments
Course-end Quizzes
Industry Projects
Project 1 – Sales Performance Analysis
Build a dashboard to present monthly sales performance by product segment and product category to identify the areas that have met or exceeded their sales targets.
Project 2 – Customer Analysis
Build a dashboard that presents statistics about the customers, ranking of them by profit ratio and sales plus the profit performance by region.
Project 3 – Product Analysis
Build a dashboard that presents sales by product category over time, with the ability to drill down to the product and regional level to check if the products are correctly priced.
Project 4 – Sales Dashboard
Build a dashboard that presents metrics about products (like sales, profits, profit ratio) and the trends of statistics over time, filtering down to one or more geographic regions.
Course Completion Criteria
- Complete at least 85% of the online self-paced course or attendance of one live virtual classroom
- Earn a score of at least 75% in course-end assessment
- Successful evaluation of at least one project
Who Should Enrol
- Analytics professionals
- IT developers and testers
- Data analysts
- Data scientists
- BI and reporting professionals
- Project managers
Prerequisites
There are no pre-requisites for taking this Tableau online training course.
Course Overview
Section 00 – Six Sigma Black Belt
Section 01 – Overview
Section 02 – DFSS, Pre-define and Define (DMAIC)
Section 03 – Measure
Section 04 – Analyze
Section 05 – Improve
Section 06 – Control
Accessible Period of Course
1 Year from date of enrolment
Customer Reviews
Alejandro Albarenga
My instructor, Guraraj RN, knows how to teach and engage the class. I’m so glad I have him as a teacher. He has been super inspiring in his first class, citing fantastic real-life examples and matching them to Tableau’s practical use.
Matiun Nessa Hassan
The course content is comprehensive and well structured. Our instructor, Ram is a great teacher and takes up questions from everyone in the class, and resolves them.
Ravi Chandra
Package Solution Consultant (Cognos BI) at IBM Global Services
The training was excellent. Appreciate the trainer’s capability to answer all the queries. Thanks to Simplilearn for such a good course content.
Sriramadevi Nanduru
Lead Consultant at Deloitte
Simplilearn’s Tableau 10 certification is simple, effective and easy to learn. The certification helped me grow my career from a Senior Project Engineer at SPSoft Private Ltd. to Lead Consultant at Deloitte with a salary hike.
Sukrit Vashist
Data & Insights Analyst at Westpac
The trainer has great knowledge about the subject. She interacts well with all the participants. All the queries were answered appropriately.
Ramkumar P
The training helped me learn important public tableau application features like filter, worksheet, dashboard, story, action, set, calculation, groups, maps, map layout and then, etc. I feel confident and this will help improve my performance.
Course Features
- Students 0 student
- Max Students1000
- Duration36 hour
- Skill levelall
- LanguageEnglish
- Re-take course1000
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Lesson 1 - Course Introduction
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Lesson 2 - Getting Started with Tableau
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Lesson 3 - Core Topics in Tableau
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Lesson 4 - Creating Charts in Tableau
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Lesson 5 - Working with Metadata
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Lesson 6 - Filters in Tableau
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Lesson 7 - Applying Analytics to the Worksheet
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Lesson 8 - Dashboards
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Lesson 9 - Modifications to Data Connections
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Lesson 10 - Level of Detail