About this Course
Learn Tableau fundamentals, advanced visualization techniques, and how to seamlessly integrate Tableau with leading data science tools. This course empowers you to create impactful dashboards and master the art of data storytelling that drives real business decisions. You will develop practical skills for: - Building foundational visualizations like bar charts, line charts, scatter plots, and more. - Applying effective data visualization practices that highlight insights and trends. - Connecting to a variety of data sources including spreadsheets, databases, and cloud services and preparing your data for analysis. - Exploring advanced chart types such as heatmaps, treemaps, and geographic maps, tailoring visualizations for maximum clarity. - Creating interactive dashboards using filters, parameters, and user-driven actions to engage audiences. - Integrating Tableau with Python or R, extending your analysis into predictive and advanced statistical modeling. - Ensuring security and best practices for data governance and ethical analysis in visualization workflows. Designed for beginners, data scientists, business analysts, and data engineers, this course doesn’t require previous Tableau experience. Foundational knowledge of data analysis or data science concepts is helpful but not mandatory. Gain hands-on experience and develop the expertise to confidently create, publish, and share compelling visualizations and dashboards using the Tableau ecosystem
What You'll Learn
- Understand Tableau fundamentals in data science workflows
- Perform data preparation and cleaning for analysis
- Build interactive dashboards to communicate insights
- Apply Tableau for advanced analytics and predictive modeling
Prerequisites
- Basic computer and internet skills
- Ability to read instructions and complete short tasks
Instructors
Edureka