Tableau Master Tableau for data science through a systematic step-by-step approach.
Engage in real-life data analytics exercises and quizzes as part of the learning process. Acquire skills by actively participating and applying knowledge!
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Tableau A-Z
| Topic | Description |
|---|---|
| Install Tableau Desktop | Set up Tableau Desktop on your system |
| Connect Tableau to various Datasets | Establish connections with Excel and CSV files |
| Create Barcharts | Visualize data using bar charts |
| Create Area Charts | Generate area charts for data representation |
| Create Maps | Utilize geographical mapping in Tableau |
| Create Scatterplots | Represent relationships with scatterplots |
| Create Piecharts | Visualize data distribution using pie charts |
| Create Treemaps | Utilize treemaps for hierarchical data visualization |
| Create Interactive Dashboards | Build dashboards with interactive elements |
| Create Storylines | Develop compelling data narratives with storylines |
| Types of Joins and how they work | Understand different types of joins and their applications |
| Data Blending in Tableau | Work with blending data from multiple sources |
| Create Table Calculations | Perform calculations at the table level |
| Work with Parameters | Utilize parameters for dynamic interactions |
| Create Dual Axis Charts | Combine two different axes in a single chart |
| Calculated Fields | Create custom fields with calculated expressions |
| Calculated Fields in a Blend | Apply calculated fields in blended data sources |
| Export Results from Tableau | Save and export Tableau results to various formats |
| Timeseries Data (two methods) | Analyze and visualize time-based data in different ways |
| Creating Data Extracts in Tableau | Extract and save data for improved performance |
| Aggregation, Granularity, and Level of Detail | Understand key concepts in data aggregation and granularity |
| Adding Filters and Quick Filters | Apply filters to refine and focus data |
| Create Data Hierarchies | Organize and display data hierarchically |
| Adding Actions to Dashboards | Enhance interactivity with actions on dashboards |
| Geographical Roles to Data Elements | Assign roles for proper geographical data visualization |
| Advanced Data Preparation | Utilize advanced techniques for data preparation |
This comprehensive course on Tableau provides a thorough exploration of the powerful features that enable individuals and decision-makers to uncover valuable insights from data.
Starting with the basics, participants will seamlessly navigate the software, connect to diverse datasets, and export worksheets. The course emphasizes the importance of data visualization, teaching users to create compelling charts, maps, scatterplots, and interactive dashboards tailored to specific projects.
Participants will delve into advanced techniques, such as working with data extracts, timeseries, and employing aggregations for effective summarization. The versatility of Tableau is demonstrated through the incorporation of various charts and plots, facilitating a deep understanding of customer purchase behavior, sales trends, and production bottlenecks.
The course is structured independently, allowing users to choose their starting point and progress at their own pace. Regular updates ensure relevance to the latest Tableau versions, enabling users to continually enhance their skills and stay ahead of the competition.
Upon completion, participants emerge as highly proficient Tableau users, equipped with the tools to analyze, visualize, and interpret complex data, whether in the realm of scientific research or strategic forecasting for business success.
| Target Audience | Description |
|---|---|
| Beginners | Individuals who want to learn Tableau from scratch |
| Intermediate Users | Those who possess some Tableau skills but aim to enhance their proficiency |
| Advanced Users | Individuals proficient in Tableau but seeking to advance their skills and unlock its full potential |
