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Data Visualization Fundamentals and Tableau Applications for Business
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eLearningIntermediateCBDA

Data Visualization Fundamentals and Tableau Applications for Business

Data Visualization Essentials

5h of content17 lessons16 modules

Master data analytics, visualization, and Tableau skills to drive business insights. Learn to transform raw data into actionable visuals and make data-driven decisions.

$99
One-time fee Β· Lifetime access
5+ hours of content
17 lessons in 16 modules
Hands-on Tableau training for practical data visualization skills
Practice exercises for applying data analytics fundamentals
Real-world case studies for synthesizing insights
Review questions for reinforcing key concepts
Capstone challenge for applying learned skills to real-world data challenges
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πŸ”’ Secure checkout Β· 30-day money-back guarantee

What You'll Learn

Understand data analytics fundamentals across industries
Apply data-driven decision-making processes
Master structured data collection principles
Choose the right data collection method for a project
Apply ethical considerations in data analytics
Understand Big Data fundamentals and its impact on business
Create effective data visualizations using Tableau

Course Structure and Progression

Your step-by-step learning path

1

Introduction to Data Analytics

Explore data analytics fundamentals, its role in management decision-making, and data-driven decision processes.

2

Data Collection and Ethics

Learn about structured data collection, comparing data collection methods, and ethical considerations in data analytics.

3

Big Data and Data Visualization

Understand Big Data fundamentals, its impact on business operations, and the importance of data visualization for insight.

4

Tableau Applications and Practice

Apply data visualization principles using Tableau, and practice creating effective visuals to drive business insights.

5

Synthesizing Insights and Course Wrap-Up

Participate in a capstone challenge to apply learned skills, tackle real-world data challenges, and step confidently into the role of a data-driven decision-maker.

Course Curriculum

16 modules Β· 17 lessons

Welcome1 lesson
πŸ“„Welcome
Introduction to Data Analytics Across Industries1 lesson
πŸ“„Introduction to Data Analytics Across Industries
Data Analytics in Management Decision-Making1 lesson
πŸ“„Data Analytics in Management Decision-Making
Exploring Data-Driven Decision Processes1 lesson
πŸ“„Exploring Data-Driven Decision Processes
Principles of Structured Data Collection1 lesson
πŸ“„Principles of Structured Data Collection
Comparing Data Collection Methods1 lesson
πŸ“„Comparing Data Collection Methods
Ethical Considerations in Data Analytics1 lesson
πŸ“„Ethical Considerations in Data Analytics
Big Data Fundamentals and the 4 Vs1 lesson
πŸ“„Big Data Fundamentals and the 4 Vs
Big Data’s Impact on Business Operations and Strategy1 lesson
πŸ“„Big Data’s Impact on Business Operations and Strategy
Technologies and Processing Methods in Big Data1 lesson
πŸ“„Technologies and Processing Methods in Big Data
The Importance of Data Visualization for Insight1 lesson
πŸ“„The Importance of Data Visualization for Insight
Core Concepts and Terminology in Data Visualization1 lesson
πŸ“„Core Concepts and Terminology in Data Visualization
Types of Data Visuals and Contextual Application1 lesson
πŸ“„Types of Data Visuals and Contextual Application
Applied Data Visualization with Tableau: Hands-On Skills1 lesson
πŸ“„Applied Data Visualization with Tableau: Hands-On Skills
Synthesizing Insights: Visualization Challenges and Course Wrap-Up1 lesson
πŸ“„Synthesizing Insights: Visualization Challenges and Course Wrap-Up
Quiz2 lessons
πŸ“ŠQuiz
πŸ“„Additional Review Questions

Preparing for Data-Driven Success

This course prepares students with hands-on Tableau skills, practical data visualization experience, and a deep understanding of data analytics principles, setting them up for success in applying data-driven insights in their professional roles.

Hands-on Tableau training for practical data visualization skills
Practice exercises for applying data analytics fundamentals
Real-world case studies for synthesizing insights
Review questions for reinforcing key concepts
Capstone challenge for applying learned skills to real-world data challenges

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