Coursera

Market Research Statistical Analysis & Data Visualization Specialization

Coursera

Market Research Statistical Analysis & Data Visualization Specialization

Transform Market Research into Business Impact.

Learn data visualization, statistical analysis, and storytelling to drive data-informed decisions

LearningMate

Instructor: LearningMate

Access provided by Seminole State College

Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Design interactive dashboards and automate reports that deliver trusted, timely insights to stakeholders

  • Apply statistical tests and predictive models to validate hypotheses and forecast market trends

  • Transform complex data into compelling visual stories that influence executive decisions

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Taught in English
Recently updated!

March 2026

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Specialization - 11 course series

Charts: Visualize Data Like a Pro

Charts: Visualize Data Like a Pro

Course 1 2 hours

What you'll learn

  • Learners will create clear, effective data visualizations by selecting appropriate chart types and applying design best practices.

Skills you'll gain

Category: Data Presentation
Category: Data Storytelling
Category: Data Visualization
Category: Histogram
Category: Scatter Plots
Category: Technical Communication
Category: Data Visualization Software
Insightful Reports and Presentations

Insightful Reports and Presentations

Course 2 2 hours

What you'll learn

  • Construct professional reports and presentations using standard structures and templates to clearly communicate key findings.

Statistical Tests for Market Research

Statistical Tests for Market Research

Course 3 2 hours

What you'll learn

  • Analyze market research data, apply t-tests in Excel to compare groups, interpret results, and make data-driven business recommendations.

Skills you'll gain

Category: Statistical Hypothesis Testing
Category: Data Analysis
Category: Spreadsheet Software
Category: Descriptive Statistics
Category: Probability & Statistics
Category: A/B Testing
Category: Statistical Methods
Category: Data Analysis Software
Category: Data-Driven Decision-Making
Category: Microsoft Excel
Category: Business Analytics
Category: Statistical Inference
Category: Market Research
Category: Customer Analysis
Category: Statistical Analysis

What you'll learn

  • Learners will transform survey data into insights by importing data, navigating Power BI's interface, and building visualizations like bar charts.

What you'll learn

  • Design and refine interactive dashboards by applying user-centered evaluation techniques to create clear and actionable data visualizations.

Skills you'll gain

Category: Data Synthesis
Category: Data Integration
Category: Dashboard
Category: Interactive Data Visualization
Category: Tableau Software
Category: User Centered Design
Category: Data Presentation
Category: Data Literacy
Category: Grafana
Category: Graphic and Visual Design
Category: User Experience Design
Category: Usability
Category: Looker (Software)
Category: Driving engagement
Category: Product Improvement
Category: Usability Testing
Category: Market Research
Category: Data Storytelling
Category: Data Visualization
Category: Peer Review

What you'll learn

  • Write message-driven headlines, align content to support them, and script concise data narratives to create clear, compelling presentations.

What you'll learn

  • Translate complex research into a persuasive narrative structured to influence executive-level business decisions and drive action.

R: Code, Import, Transform Data

R: Code, Import, Transform Data

Course 8 2 hours

What you'll learn

  • Write basic R scripts to import and transform data from delimited files by selecting and renaming columns for analysis.

What you'll learn

  • Build an end-to-end, reproducible analysis in R, from data transformation and model evaluation to automated reporting.

Skills you'll gain

Category: Automation
Category: Statistical Modeling
Category: Data Manipulation
Category: Rmarkdown
Category: Performance Analysis
Category: Model Evaluation
Category: Tidyverse (R Package)
Category: Knitr
Category: Extract, Transform, Load
Category: R Programming
Category: Data Wrangling
Category: Data Analysis
Category: Data Pipelines
Category: Statistical Reporting
Category: Performance Metric
Category: Data Cleansing
Category: Predictive Analytics
Category: Data Integration
Category: Data Transformation

What you'll learn

  • Build and validate linear regression models in R, using diagnostics and cross-validation to ensure robust, reliable business predictions.

Skills you'll gain

Category: Model Evaluation
Category: Verification And Validation
Category: R Programming
Category: Plot (Graphics)
Category: Data Validation
Category: Predictive Analytics
Category: Technical Communication
Category: Exploratory Data Analysis
Category: Regression Analysis
Category: Advanced Analytics
Category: Statistical Methods
Category: Statistical Modeling
Category: Predictive Modeling

What you'll learn

  • Establish a reliable reporting workflow by automating distribution, validating data accuracy, and documenting changes to ensure trustworthy insights.

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Instructor

LearningMate
233 Courses 16,370 learners

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