TABLEAU 2018: Hands-On Tableau Training For Data Science!

📊 Tableau 2018: Hands-On Tableau Training For Data Science 🚀

Course Headline: 🎓 Learn Tableau for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!

Embark on a Data Visualization Journey with Tableau 2018!

Dive into the world of data analytics and discover patterns, trends, and bottlenecks that can drive your business decisions or inform scientific inquiries. With this comprehensive online course, you'll master all aspects of Tableau to transform raw data into compelling visualizations. 📈

Unlock the Power of Data with Tableau:

• Connect, Analyze, and Visualize: Learn how to connect Tableau to a myriad of datasets, perform complex analyses, and present your findings in an impactful way.

  • Connect Tableau to various data sources
  • Perform advanced data manipulations such as blending and joining datasets
  • Calculate key metrics with precision

• Master Data Visualization: Convert raw data into beautiful visualizations that tell a story, using Tableau's powerful features.

  • Create charts, plots, and maps to represent your data
  • Develop interactive dashboards to engage users and stakeholders

Course Contents and Overview:

This course is designed to accommodate learners of all levels, from beginners to seasoned professionals. We'll start with the basics to ensure everyone is on the same page before diving into more advanced topics. 🎥

• Tableau Fundamentals: Navigate the Tableau interface, connect to data files, and export your first worksheet. Get comfortable with the tools as you lay the foundation for advanced data analytics.

• Trend Analysis & Forecasting: Learn how to use data extracts and timeseries to spot trends and make accurate forecasts. This skill is crucial for data science applications.

• Data Summarization Techniques: Use aggregations to summarize information, ensuring your data is easy to digest and your calculations are accurate.

• Advanced Data Visualizations: Create a variety of charts, including scatterplots and interactive dashboards, tailored to each project's needs.

• Data Joining & Blending: Discover when and how to join or blend data from multiple sources to present comprehensive information.

• Tableau 10 Data Preparation Features: Explore advanced features like table calculations, treemap charts, and storylines to prepare your data for in-depth analysis.

By the end of this course, you will:

• Be a highly proficient Tableau user equipped with the skills to extract knowledge from data.
• Analyze and visualize complex questions with ease as a data scientist.
• Collect, examine, and present data for any purpose, be it scientific research or commercial analysis.
• Stay ahead of the competition by keeping your skills updated with the latest features in Tableau.

Take the first step towards becoming a Tableau data wizard! Enroll now and transform your approach to data analytics. 🌟

Join Kirill Eremenko, an expert instructor, on this journey through data science with Tableau 2018. Let's turn your raw data into actionable insights together!

Course Overview: "Data Visualization with Tableau" is a comprehensive course that has received high praise from recent reviewers. The course is designed to be valuable for learners of all levels, offering detailed and well-paced content that covers the intricacies of using Tableau for data visualization. The majority of reviews commend the instructor's clear explanations and engaging examples, making even complex topics accessible.

Pros:

• Content Value: The course material is reported to be rich in content, offering a thorough understanding of Tableau and its applications in data visualization.

• Expertise & Presentation: The instructor, Kirill, has been praised for his knowledgeable presentations and the way he covers the subject matter in great detail.

• Real-world Application: Many reviewers appreciate the practical examples used throughout the course, which help learners apply their new skills to real-world scenarios.

• Structured Learning Path: The course structure is commended for its meticulous approach, allowing learners to follow along and gain experience while practicing.

• Versatility for Learners: The course seems to cater to both beginners and more advanced users, providing a structured learning path that can accommodate varying levels of familiarity with Tableau.

Cons:

• Pacing: Some learners find the course to move at a fast pace, necessitating frequent rewinds or pauses to fully understand the material.

• Technical Issues: A few reviewers have encountered issues with Tableau's interface and functions, particularly in newer versions, which may require additional clarification from the instructor.

• Exercise Volume: There is a suggestion that the course could benefit from more practical exercises and business challenges to complement the existing content.

• Accessibility & Compatibility: Some users have noted compatibility issues with different devices, particularly when using Tableau Public or Tableau free trial versions.

• Documentation & Community Support: A few learners have expressed a desire for better documentation and community support to enhance the learning experience.

Additional Notes:

• Technical Updates: While some reviewers note minor discrepancies between the course content and newer versions of Tableau, the course is still considered great and up-to-date as of 2022.

• Course Structure & Flow: The flow of the course has been highly praised, with many learners expressing that they are in a state of 'flow' and do not wish to stop until completion.

• Learning Resources: It is recommended to use earphones for better audibility of the instructor's voice. Additionally, learning how to manage multiple workbooks to prevent data overwrites would be beneficial.

Conclusion: "Data Visualization with Tableau" stands out as an engaging and valuable course for anyone interested in mastering data visualization using Tableau. The course offers a wealth of knowledge delivered by an expert instructor, with a few areas that could be improved for an even more enhanced learning experience. Overall, the positive feedback from learners suggests that this course is well worth considering for those looking to expand their skill set in data visualization.