Use Tableau for your Data Science Workflow
- Offered byCoursera
- Public/Government Institute
Use Tableau for your Data Science Workflow at Coursera Overview
Duration | 3 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Use Tableau for your Data Science Workflow at Coursera Highlights
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Use Tableau for your Data Science Workflow at Coursera Course details
- Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement. Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping. Boost your career with our comprehensive Tableau training. Unlock the power of data visualization with our Tableau course. This course provides an introduction to Tableau, a powerful data visualization tool, and its integration with fundamental data science concepts. Participants will gain hands-on experience in connecting to various data sources, creating insightful visualizations, and building interactive dashboards. Additionally, the course explores the synergy between Tableau and data science tools, empowering participants to leverage advanced analytics capabilities within the Tableau environment.
- By the end of this course, you will be able to:
- - Create foundational visualizations (bar charts, line charts, scatter plots).
- - Learn effective data visualization practices.
- - Connect to various data sources and perform basic data preparation.
- - Explore advanced chart types and geographic mapping.
- - Customize visualizing for specific insights.
- This comprehensive short course is tailored for Beginners, Data Scientists, Business Analysts, and Data Engineers eager to delve into the world of data visualization and analysis using Tableau.
- Previous experience with data analysis tools and basic understanding of data science concepts are beneficial but not essential for this course.
- Embark on an insightful journey to master Tableau for Data Science workflows, learning how to effectively visualize, analyze, and glean insights from large datasets.
Use Tableau for your Data Science Workflow at Coursera Curriculum
Data Exploration and Visualization with Tableau in Data Science
Course Introduction
Overview of Tableau
Why Tableau?
Role in Data Visualization
Integration with Data Science
Dataset Integration
Tableau to Various Data Sources
Loading and Preparing Data in Tableau
Files with Tableau
Exploratory Data Analysis (EDA)
Utilizing Tableau For EDA
Data Trends and Patterns
Basic Charts and Graphs
Building Advanced Charts
Hands-on: Advanced Chart
Augmenting Visualizations
Visualizations for Clarity and Impact
Advanced Analytics within Tableau
Connecting Tableau to Data Science Tools
Advance Level of Items within Tableau
Dynamic Dashboards in Tableau
Demo on Dashboard Creation
Dashboard Creation
Course Completion
Course Introduction: Use Tableau for your Data Science Workflow
How to use Discussion Prompt
Tableau and Data Science
Loading and Preparing Data in Tableau
Understanding EDA using Tableau
Advanced Charting and Visualization Enhancement in Tableau
Executing Advanced Analytics within Tableau
Design Principles for Creating Impactful and User-Friendly Dashboards
End Course: Summary
Knowledge Check: Tableau and Data Science
Knowledge Check: Connecting to Data Sources
Knowledge Check: Exploratory Data Analysis
Knowledge Check: Advanced Visualizations
Knowledge Check: Integrating Tableau with Data Science Tools
Knowledge Check: Building Dashboards for Data Science
End Course Quiz: Tableau in Data Science
Connection Process
The Role of EDA in Revealing Patterns, Trends, and Anomalies
Advanced Data Visualization Impact
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