Coursera

Advanced Survey Design & Statistical Analysis Specialization

Coursera

Advanced Survey Design & Statistical Analysis Specialization

Advanced Market Research With Data Analytics.

Master survey design, statistical analysis, and predictive modeling for market insights.

LearningMate

Instructor: LearningMate

Access provided by Xavier School of Management, XLRI

Get in-depth knowledge of a subject
Intermediate 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
Intermediate level

Recommended experience

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

What you'll learn

  • Design sophisticated market surveys and analyze data using statistical testing methods

  • Build predictive models and automated workflows using R programming and cloud platforms

  • Implement data governance practices to ensure research quality and reproducible insights

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Taught in English
Recently updated!

February 2026

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Specialization - 8 course series

What you'll learn

  • Learners will design user-centered surveys with branching logic and analyze data using chi-square tests to uncover significant, actionable insights.

Skills you'll gain

Category: User Feedback
Category: Statistical Hypothesis Testing
Category: Survey Creation
Category: Data Storytelling
Category: Statistical Analysis
Category: Business Research
Category: Data Collection
Category: Data Analysis
Category: Data Presentation
Category: Surveys
Category: Quantitative Research
Category: Market Research
Category: User Centered Design

What you'll learn

  • Learners will be able to design effective surveys with proper question types and skip logic to improve data quality and the respondent experience.

Skills you'll gain

Category: Survey Creation
Category: Research Design
Category: Sampling (Statistics)
Category: Surveys
Category: User Research
Category: User Feedback
Category: Data Quality
Category: Case Studies
Category: Qualitative Research
Category: Data Collection

What you'll learn

  • Select appropriate sampling methods and calculate the statistically valid sample size to design reliable survey research.

Skills you'll gain

Category: Sample Size Determination
Category: Sampling (Statistics)
Category: Statistical Methods
Category: Data Collection
Category: Research Design
Category: Quantitative Research
Category: Business Research
Category: Statistics
Category: Decision Making
Category: Probability & Statistics
Category: Survey Creation

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

What you'll learn

  • Design efficient conjoint analysis studies and build automated data workflows to gain faster, sophisticated market insights.

Skills you'll gain

Category: Customer Insights
Category: Data Collection
Category: No-Code Development
Category: Cloud-Based Integration
Category: Product Design
Category: Quantitative Research
Category: Data Integration
Category: Consumer Behaviour
Category: Survey Creation
Category: Market Analysis
Category: Strategic Marketing
Category: Product Strategy
Category: Real Time Data
Category: Market Research
Category: Data Management
Category: Business Process Automation
Category: Automation
Category: Workflow Management

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

What you'll learn

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

What you'll learn

  • Master market forecasting and trend analysis. Learn to use historical data to predict demand and evaluate the strategic impact of emerging trends.

Skills you'll gain

Category: Gap Analysis
Category: Data Maintenance
Category: Market Opportunities
Category: Performance Measurement
Category: Business Development
Category: Key Performance Indicators (KPIs)
Category: Performance Analysis
Category: Business Planning
Category: Business Strategy
Category: Variance Analysis

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Instructor

LearningMate
233 Courses 15,721 learners

Offered by

Coursera

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