Introduction to Business Analytics: Communicating with Data
- 4.6
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Course Summary
This course is an introduction to business analytics and provides an overview of the field, its tools and techniques. Students will learn how to use data to make informed business decisions and gain insights into customer behavior, market trends, and other business-related data.Key Learning Points
- Understand the importance of business analytics in making informed decisions
- Learn popular tools and techniques used in business analytics
- Gain hands-on experience with data analysis and visualization
Related Topics for further study
Learning Outcomes
- Understand the fundamentals of business analytics and its applications
- Gain hands-on experience with popular analytics tools and techniques
- Learn how to use data to make informed business decisions
Prerequisites or good to have knowledge before taking this course
- Basic understanding of statistics
- Some familiarity with Excel or a similar tool
Course Difficulty Level
BeginnerCourse Format
- Self-paced
- Online
Similar Courses
- Data Analytics Foundations for Accountancy II
- Introduction to Data Analysis
Related Education Paths
Related Books
Description
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
Outline
- Module 1: Pictures You See with Your Brain
- Meet Professor Kevin Hartman
- Learn on Your Terms
- Welcome to Introduction to Business Analytics: Communicating with Data
- Module 1 Overview
- Lecture 1-1: Studying The History of Dataviz
- Lecture 1-2: Understanding Today's Dataviz Tools
- Lecture 1-3: Making Connections With Visuals
- Lecture 1-4: Evaluating The Effectiveness Of Dataviz
- Syllabus
- About the Discussion Forums
- Glossary
- Brand Descriptions
- Update Your Profile
- Learn More About Flexible Learning Paths
- Module 1 Overview
- Module 1 Readings
- Orientation Quiz
- Module 1 Graded Quiz
- Module 2: Working Fast and Thinking Slow
- Module 2 Overview
- Lecture 2-1: Understanding The Growth Of Data
- Lecture 2-2: Evaluating Methods Of Data Access
- Lecture 2-3: Focusing Your Communication Journey
- Lecture 2-4: Planning Your Data Story
- Module 2 Overview
- Module 2 Readings
- Module 2 Graded Quiz
- Module 3: Finding Your Data Story
- Module 3 Overview
- Lecture 3-1: Finding Patterns In Data
- Lecture 3-2: Being Planful When Creating Dataviz
- Lecture 3-3: Understanding The Components of Visual Form
- Lecture 3-4: Enriching Content Through Connection
- Module 3 Overview
- Module 3 Readings
- Module 3 Graded Quiz
- Module 4: Getting Your Story Across
- Module 4 Overview
- Lecture 4-1: Creating Inviting Dataviz
- Lecture 4-2: Bringing Sophistication To Charts
- Lecture 4-3: Improving Chart Legibility
- Lecture 4-4: Presenting Dataviz With Impact
- Gies Online Programs
- Module 4 Overview
- Module 4 Readings
- Congratulations!
- Get Your Course Certificate
- Module 4 Graded Quiz
Summary of User Reviews
Discover the fundamentals of business analytics with this comprehensive course on Coursera. Students have highly recommended this course for its practical approach to data analysis and its engaging content.Key Aspect Users Liked About This Course
The course's practical approach to data analysisPros from User Reviews
- Engaging content that keeps students interested
- Instructors who are knowledgeable and accessible
- Real-world examples that help students apply concepts
- Course assignments that offer hands-on experience
- Flexible learning options that accommodate busy schedules
Cons from User Reviews
- Some students find the course difficult without prior knowledge of statistics
- The course may be too basic for those with extensive experience in analytics
- Lack of interaction with other students and instructors
- Some students find the course too theoretical without enough practical application
- Limited depth in certain topics
Kevin Hartman
4.6 Raiting
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