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

Included with Coursera Plus

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

Skills you'll gain

  • Category: Business Intelligence
  • Category: Data Analysis
  • Category: Data Governance
  • Category: Data Quality
  • Category: Excel Formulas
  • Category: Key Performance Indicators (KPIs)
  • Category: Knitr
  • Category: Market Research
  • Category: Performance Metric
  • Category: Predictive Modeling
  • Category: Quantitative Research
  • Category: Regression Analysis
  • Category: Sample Size Determination
  • Category: Statistical Analysis
  • Category: Statistical Hypothesis Testing
  • Category: Survey Creation
  • Category: Surveys
  • Category: Data Visualization

Tools you'll learn

  • Category: R Programming
  • Category: Rmarkdown

Details to know

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Taught in English
91% of learners achieved a positive career outcome

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Specialization - 8 course series

Design and Analyze Impactful Market Surveys

Design and Analyze Impactful Market Surveys

Course 1, 3 hours

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: Quantitative Research
Category: Statistical Hypothesis Testing
Category: Storytelling
Category: User Feedback
Category: Data Collection
Category: User Centered Design
Category: Statistical Methods
Category: Survey Creation
Category: Market Research
Category: Business Research
Category: Data Storytelling
Category: Statistical Analysis
Category: Surveys
Category: Stakeholder Communications
Category: Data Analysis
Design Smart Surveys with Skip Logic

Design Smart Surveys with Skip Logic

Course 2, 2 hours

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: Data Quality
Category: User Feedback
Category: User Research
Category: Research Design
Category: Data Collection
Category: Surveys
Category: Qualitative Research
Category: Case Studies
Survey Samples: Size and Methods

Survey Samples: Size and Methods

Course 3, 2 hours

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: Statistical Methods
Category: Sample Size Determination
Category: Sampling (Statistics)
Category: Statistics
Category: Probability
Category: Probability & Statistics
Category: Estimation
Category: Quantitative Research
Category: Research Methodologies
Category: Statistical Inference
Category: Survey Creation
Category: Business Research
Category: Data Collection
Category: Research Design
Category: Decision Making
Statistical Tests for Market Research

Statistical Tests for Market Research

Course 4, 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: Statistical Reporting
Category: Analytics
Category: A/B Testing
Category: Spreadsheet Software
Category: Statistical Inference
Category: Market Research
Category: Descriptive Statistics
Category: Data Analysis
Category: Data-Driven Marketing
Category: Data Analysis Software
Category: Business Analytics
Category: Statistical Methods
Category: Customer Insights
Category: Probability & Statistics
Category: Customer Analysis
Category: Data-Driven Decision-Making
Category: Statistical Analysis
Category: Quantitative Research
Category: Statistical Software
Automate Surveys for Smart Market Insights

Automate Surveys for Smart Market Insights

Course 5, 2 hours

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: Automation
Category: Workflow Management
Category: No-Code Development
Category: Market Analysis
Category: Market Research
Category: Customer Analysis
Category: Data Integration
Category: Real Time Data
Category: Consumer Behaviour
Category: Decision Making
Category: Business Process Automation
Category: Customer Insights
Category: Data Quality
Category: Product Design
Category: Survey Creation
Category: Process Design
Category: Strategic Marketing
Category: Cloud-Based Integration
Category: Product Strategy
Category: Quantitative Research
Predict and Validate Regression Models in R

Predict and Validate Regression Models in R

Course 6, 2 hours

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: Regression Analysis
Category: R Programming
Category: Performance Metric
Category: Model Evaluation
Category: Financial Forecasting
Category: Statistical Modeling
Category: Data Validation
Category: Verification And Validation
Category: Plot (Graphics)
Category: Model Training
Category: Predictive Analytics
Category: Predictive Modeling
Category: Statistical Methods
Transform, Analyze, and Report Data with R

Transform, Analyze, and Report Data with R

Course 7, 3 hours

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: Data Manipulation
Category: Model Evaluation
Category: Rmarkdown
Category: Data Pipelines
Category: Predictive Modeling
Category: Tidyverse (R Package)
Category: Statistical Reporting
Category: Performance Analysis
Category: Knitr
Category: R Programming
Category: Predictive Analytics
Category: Performance Metric
Category: Extract, Transform, Load
Category: Data Transformation
Category: Data Integration
Category: R (Software)
Category: Data Quality
Category: Statistical Modeling
Category: Data Wrangling
Category: Data Analysis
Govern and Evaluate Research Data Quality

Govern and Evaluate Research Data Quality

Course 8, 2 hours

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

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Instructor

LearningMate
LearningMate
275 Courses28,740 learners

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Coursera

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