TABLEAU 2018 ADVANCED: Master Tableau in Data Science
Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!
What you will learn
Create and use Groups
Understand the difference between Groups and Sets
Create and use Static Sets
Create and use Dynamic Sets
Combine Sets into more Sets
Use Sets as filters
Create Sets via Formulas
Control Sets with Parameters
Control Reference Lines with Parameters
Use multiple fields in the colour property
Create highly interactive Dashboards
Develop an intrinsic understanding of how table calculations work
Use Quick Table calculations
Write your own Table calculations
Combine multiple layers of Table Calculations
Use Table Calculations as filters
Use trendlines to interrogate data
Perform Data Mining in Tableau
Implement Advanced Mapping Techniques
Understand Level Of Details
Why take this course?
🚀 Tableau 2018 ADVANCED: Master Tableau in Data Science 📊
Course Headline:
Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!
Are you ready to elevate your data storytelling to new heights? 🤔💫 Tableau 2018 ADVANCED is meticulously crafted for professionals who aspire to master the art of visual analytics and data mining with Tableau. This course goes beyond the basics, diving deep into advanced techniques that will transform the way you approach complex datasets and real-world analytical challenges.
Course Description:
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🧪 Learn Advanced Techniques: Unleash the full potential of Groups, Sets, and Table Calculations to streamline your data analysis process.
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🔍 Perform Analytics & Data Mining: Develop a keen analytical eye by exploring powerful data mining techniques within Tableau.
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✨ Create Dynamic Animations: Bring your visualizations to life with captivating animations that will mesmerize and engage your audience.
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🚀 Solve Real-World Problems: Engage with scenarios that mimic real business challenges, giving you the experience to tackle any data hurdle that comes your way.
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Data Analysts looking to refine their skills and stand out in the workplace.
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Business Intelligence Professionals who want to push the boundaries of their visualizations.
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Aspiring Data Scientists aiming to enhance their predictive analytics capabilities.
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Independent Modules: Jump into learning at your own pace. Each module is self-contained, allowing you to start where it's most convenient for you.
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Rich Learning Experience: Combining video tutorials with hands-on exercises and real datasets ensures a comprehensive understanding of Tableau's advanced features.
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Skill Mastery: Stop at any point you feel comfortable, and still carry away an impressive set of skills that will serve you in your data science endeavors.
Don't just take our word for it – join the ranks of professionals who have elevated their data analysis skills to new heights. With "Tableau 2018 ADVANCED," you'll not only learn but also apply advanced concepts in a practical, real-world context. Are you ready to become a Tableau maestro? Let's get started! 🌟
Instructor: Kirill Eremenko – A data science expert and seasoned instructor with a passion for making complex topics accessible and engaging.
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Our review
It seems you've compiled a range of feedback on the Advanced Tableau course from Super Data Science. Here's a summary and some insights based on the points mentioned:
Pros:
- Comprehensive Content: The course is structured well with a logical flow of topics, providing a solid foundation for advanced data visualization techniques in Tableau.
- Quality of Explanations: Most instructors provide clear and concise explanations that help learners understand complex concepts effectively.
- Sample Data Sets: Practical examples are given, which aid in the learning process by showing how to apply the concepts in real-world scenarios.
- Case Study Approach: Some learners appreciate the case study method used in the course for a more practical and engaging learning experience.
- Good for Intermediate Learners: The course is recommended for those who have already completed basic Tableau training, as it delves deeper into advanced techniques.
Cons:
- Repetition and Clarity: Some learners found the explanations to be repetitive and at times, unclear, particularly regarding Level of Detail (LOD) expressions, which is a key concept that could have been explained more clearly.
- Pacing and Speech Clarity: The course sometimes feels rushed, and the instructor speaks quickly in some areas, making it harder for learners to follow along and absorb the information.
- Font Consistency: Frequent changes in font size within the videos could be distracting and make the content less readable at times.
- Outdated Version: Some learners encountered issues with the version of Tableau used in the course, which was not the same as the current version, leading to discrepancies and frustration.
- Technical Issues: A few learners reported technical difficulties accessing the videos on certain devices, such as an iMac or an iPad, which impacted their learning experience.
Recommendations for Improvement:
- Ensure that all course materials are up-to-date with the latest version of Tableau to avoid confusion and ensure that the techniques demonstrated are still relevant and applicable.
- Clearly articulate advanced concepts like LOD expressions with precision to avoid ambiguity.
- Consider slowing down the pace of instruction, especially when introducing new or complex ideas, to improve comprehension.
- Address technical issues proactively to ensure learners can access the content without hassle.
- Potentially include supplementary written materials or additional examples for learners to refer to at their own pace, which could help in overcoming the challenges posed by a fast-paced video format.
Overall, the course is well-regarded for its depth and practical approach to teaching advanced Tableau techniques. However, it's important to note that some learners experienced issues with accessibility and content relevance due to the version of Tableau used. Addressing these concerns would greatly enhance the learning experience for future students.