Title
Tableau Desktop for Tableau Certified Data Analyst
Tableau Certified Data Analyst course for Data Analysis and Data Visualization

What you will learn
What is Tableau and its Applications, Careers in Tableau
Tableau Desktop Installation
Tableau Products and their Use Cases
Data Sources and Data types in Tableau
Measures and Dimensions, Data Representation in Tableau (Continuous/Discrete)
Exploring Tableau Desktop UI
Using Tableau Dashboards for Solving Data Analysis Problems
Types of Functions
Using Functions to Create Calculated Fields
Parameters
Joins
Filters and Types of Data Source Connection (Live/Extract)
Sets
Generated Fields
Highlighting Actions in Tableau
Understanding Data Visualization and its Importance
Plotting Bar Charts, Text tables and Tree Maps In Tableau
Plotting Line Charts, Box Plots and Area Charts In Tableau
Plotting Bullet Graphs, Bubble Charts and Scatter Plot In Tableau
Waterfall Chart and Funnel Chart
Geometric Visualizations (Maps)
Defining Story and the Difference between Story and a Dashboard in Tableau
Creating your First Story
Use Case: Exploring the World Indicators Accelerator
Publishing Your Workbook on Tableau Online
Testing Your Tableau Skills
Why take this course?
π Master Data Analysis & Visualization with Tableau! π
Tableau Certified Data Analyst Course
Are you ready to unlock the power of your data and transform it into compelling visual stories? Dive into the world of data analysis and visualization with our comprehensive online course, designed to turn you into a Tableau Desktop expert and set you on the path to becoming a Tableau Certified Data Analyst π!
Course Overview:
This course is a treasure trove for anyone looking to master Tableau, a power BI tool that stands out in visual analytics. Whether you're a beginner or someone with prior data analysis experience, this course will guide you through every aspect of Tableau Desktop, from the basics to advanced visualizations and storytelling.
What You'll Learn:
β Introduction to Tableau: Get familiar with the platform, its interface, and key features like Measures and Dimensions.
β Tableau Desktop Installation: Learn how to set up Tableau Desktop on your machine and navigate through its user-friendly GUI.
β Data Connections: Understand how to connect to various data sources, including reference lines, trend lines, and forecasting.
β Filtering & Sorting: Master filtering, sorting, aggregation, and creating calculated fields to refine your data analysis.
β Visualization Techniques: Create a myriad of visualizations, from scatter plots to date-time and symbol maps, dual-axis graphs, and geometric shapes.
β Storytelling with Data: Learn how to build compelling business stories and beautiful dashboards that engage your audience.
β Real-world Exercises: Put your skills into practice with hands-on exercises throughout the course.
Key Features of the Course:
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Easy to Follow: No prior programming or coding knowledge required β Tableau's intuitive interface makes it accessible to all.
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Step-by-step Tutorial: A structured approach that takes you from a beginner to an advanced user, ready to tackle real-world data challenges.
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Versatile Audience: Perfect for anyone from beginners curious about data science to professionals in Business Intelligence, Data Mining, or Business Analytics.
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Interactive Learning: Engage with the material through practical exercises that reinforce your learning experience.
Why Choose This Course?
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Industry-Recognized Certification: Equip yourself with a skill set that is in high demand and recognized globally.
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Career Advancement: Open doors to new career opportunities as a Tableau Developer or in the field of Business Intelligence.
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Enhanced Problem Solving: Learn to extract meaningful insights from data to solve complex business problems.
Get Started Today!
Embark on your journey to becoming a Tableau Certified Data Analyst and gain the skills to make your data tell its story. With our engaging content, expert guidance, and practical exercises, you'll be creating interactive dashboards and compelling visualizations in no time!
Enroll now and turn your data into insights with Tableau Desktop for Tableau Certified Data Analyst course πβ¨. Let's bring your data to life!
Screenshots




Our review
Course Review: Mastering Tableau Desktop
Overall Rating: β β β β«β (3.90/5)
Pros:
- Comprehensive Outline: The course provides a clear outline of what will be covered in each lecture, which is beneficial for learners who prefer structure and organization.
- Basic Functions Coverage: It gives a good introduction to how Tableau Desktop works and its basic functions, suitable for beginners.
- Content Representation: The content aligns well with the outlined topics, ensuring that learners get exactly what they expect.
- Instructor Communication: The instructor's communication is easy to understand, which is crucial for absorbing new information effectively.
Cons:
- Need for Practical Examples: Some users felt that the course could benefit from more practical examples to solidify concepts and enhance understanding.
- Starting Knowledge Required: Although marketed as a starting course, some found it required a little prior knowledge to be fully comprehensible.
- Exercise and Explanation: There is a call for additional exercises and detailed explanations to supplement the learning experience.
- Pacing and Delivery: The instructor's pace during lectures was described as hurried, making it difficult for learners to keep up, especially with strong accents and rapid speech.
- Accent and Speed of Instruction: Some learners had trouble following the instructor due to a strong accent and fast speaking speed, which was exacerbated by the need for subtitles.
- Inadequate Basic Concept Explanation: The instructor did not spend enough time explaining basic concepts or provide examples, leaving some learners behind.
Additional Notes:
- Starting Point: Despite its shortcomings, the course is a robust starter for those looking to understand Tableau Desktop and its functions.
- Room for Improvement: With more practical examples, a slower pace, and additional exercises, the course could significantly improve learner engagement and comprehension.
- Instructor Performance: The effectiveness of the course could be enhanced by addressing the pacing and delivery issues to ensure clarity and retention of key concepts.
In Summary: The course is well-structured with a clear outline and content that matches its description. It serves as a good introduction to Tableau Desktop for beginners who may already have some foundational knowledge. However, learners would benefit from more practical examples, slower pacing during instruction, and detailed exercises to aid in the learning process. Addressing these issues could significantly improve the course's effectiveness and user satisfaction.
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