Certificate in Math for Customer Insights
-- viewing nowThe Certificate in Math for Customer Insights is a comprehensive course designed to equip learners with essential mathematical skills required in data-driven customer insights careers. This program emphasizes the importance of mathematical thinking in interpreting customer behavior and making informed business decisions.
4,044+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• Descriptive Statistics: Measures of central tendency, variability, and distribution; data visualization using histograms, box plots, and scatter plots.
• Probability Theory: Concepts of probability, conditional probability, and Bayes' theorem; discrete and continuous random variables, probability distributions, and joint probability distributions.
• Inferential Statistics: Hypothesis testing, confidence intervals, and p-values; statistical significance and power analysis; hypothesis testing for means, proportions, and variances.
• Regression Analysis: Simple and multiple linear regression, polynomial regression, and logistic regression; model selection, diagnostics, and evaluation; interaction and dummy variables.
• Experimental Design: Randomized controlled trials, factorial designs, and blocking; confounding variables and bias; power calculations and sample size determination.
• Time Series Analysis: Autoregressive, moving average, and autoregressive moving average models; stationarity, seasonality, and trend; decomposition, autocorrelation, and partial autocorrelation functions.
• Multivariate Analysis: Principal component analysis, factor analysis, and cluster analysis; linear discriminant analysis and multiple correspondence analysis.
• Data Mining and Machine Learning: Decision trees, random forests, and support vector machines; ensemble methods and regularization techniques; cross-validation and hyperparameter tuning.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate