Training in Statistical Analysis and Data Preparation with R
This comprehensive course in statistical analysis is designed to equip you with the skills needed to clean, prepare, and analyze data using the R programming language. You will learn how to detect and handle missing data, perform different types of imputations, and assess data quality. The program also covers advanced statistical techniques such as factor analysis, multivariate regression models, and trend testing.
With a hands-on learning approach, you will gain the ability to apply robust statistical methods to interpret and model complex datasets, using real examples and the powerful analytical tools available in R.
1. Data Preparation
- Identifying Missing Data in R
- Simple Imputation in R
- Multiple Imputation in R
- Random Forest Imputation in R
- Imputation Using Mean LOD
- Handling Censored Data
- Assessing Imputation Quality in R
- Sensitivity Analysis in R
2. Quality Index Analysis
- Analysis of Variance (ANOVA) in R
- Tukey HSD Test
- Kruskal–Wallis Test in R
3. Factor Analysis and Multivariate Regression in R
- Principal Component Analysis (PCA) in R
- Multivariate and Binary Regression Models in R
4. Trend Tests and Time-Based Analysis
- Performing the Mann–Kendall Trend Test in R
- Time Series Analysis and Lomb–Scargle Periodogram in R
5. Time Series Modeling
- Time Series Models (ARIMA, SARIMA) in R
Related Training
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Prerequisites:
Objectives:
- Master statistical data preparation techniques, including imputation and handling missing values.
- Develop advanced skills in statistical analysis to assess data quality and conduct trend tests.
- Apply multivariate regression methods and factor analysis to interpret complex datasets using R.
- Build strong expertise in time series analysis and develop ARIMA and SARIMA forecasting models.
Online
- 23/02/2026
- 24/02/2026
- 25/02/2026
Quebec City
- 12/01/2026
- 13/01/2026
- 14/01/2026
Pricing
Practical information
- Duration: 2 day(s)
- Schedule: 9:00 a.m. to 4:30 p.m. (2 coffee breaks + 1-hour lunch)
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Format:
- Online (live virtual classroom)
- Or in person, depending on availability
📄 Download course outline (PDF)
Registration detailsInterested in this training?
Free quote with no obligation
Registration with credit card payment
“ I want to thank you both for providing my resources some excellent training(Cobol) over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customised and personalised training course. We’ll look forward to continuing our partnership for future training needs. “
“J’ai grandement apprécié les méthodes d’enseignement du prof. Le fait que nous soyons un petit groupe a grandement facilité les apprentissages. Il s’adapte à son audience et les exercices sont formateurs. Je recommande fortement. “
“ Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci!“