Statistical Modeling Courses and Certifications

Regression Analysis in R for Data Science: from Zero to Hero

56 ratings at Udemy

Learn Complete Hands-On Regression Analysis in R for Machine Learning, Statistical Analysis, Data Science, Deep Learning

• Udemy
• 4 hours 32 minutes
• On-Demand
• Paid Course

Multilevel Modeling

19 ratings at Coursera

Introduction to multilevel modeling theory and practice using R, focusing on two-level models with continuous response variables for analyzing hierarchical data in social sciences.

• Coursera
• 7 hours 56 minutes
• On-Demand
• Paid Course

EDUCBA

Machine Learning with R: Build, Analyze & Predict

15 ratings at Coursera

Master machine learning foundations and R programming through hands-on practice with regression, classification, decision trees, and ensemble methods for real-world data analysis.

• Coursera
• 12 hours 31 minutes
• On-Demand
• Paid Course

EDUCBA Microcredential

Predictive Analytics & Modeling with Minitab

15 ratings at Coursera

Master predictive analytics and statistical modeling using Minitab and Excel through hypothesis testing, regression, ANOVA, and logistic models for real-world business insights.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Using R for Geostatistical Geospatial Modeling

Master geostatistical geospatial modeling with R through hands-on coding of machine learning algorithms, variograms, kriging techniques, and conditional simulation for real-world applications.

• Coursera
• 22 hours 15 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Analysis in R

Learn applied statistical data analysis using R, from basic inference to advanced modeling, with practical implementation and guidance on method selection.

• edX
• 12 weeks, 5-10 hours a week
• On-Demand
• $618.00
• 2 courses

Coursera

Decision Tree Classifier for Beginners in R

Learn to build and evaluate decision tree models in R using the Sonar dataset. Gain hands-on experience with data partitioning, model training, performance metrics, and saving trained models.

• Coursera
• 2 hours 15 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze and Interpret Data Using Excel

Master Excel's analytical tools to compute statistics, visualize data relationships, run regression models, and interpret outputs for informed decision-making in real-world scenarios.

• Coursera
• 5 hours 24 minutes
• On-Demand
• Paid Course

EDUCBA

Predictive Analytics: Apply, Analyze & Interpret

Master predictive modeling, hypothesis testing, and regression analysis using Minitab and Excel to transform complex datasets into actionable business insights.

• Coursera
• 12 hours 37 minutes
• On-Demand
• Paid Course

Packt

Regression Analysis for Statistics & Machine Learning in R

Enhance regression analysis skills in R: from OLS to advanced techniques like GLMs, non-linear models, and machine learning approaches. Practical implementation and result interpretation included.

• Coursera
• 10 hours 30 minutes
• On-Demand
• Paid Course

EDUCBA

Python: Apply & Evaluate Sales Forecasting with Time Series

Master advanced time series techniques in Python to build, evaluate, and compare SARIMA and Prophet models for accurate sales forecasting and data-driven decision making.

• Coursera
• 5 hours 12 minutes
• On-Demand
• Paid Course

EDUCBA

Univariate Time Series Analytics & Modeling with EViews

Master ARMA modeling techniques using EViews for univariate time series analysis, from correlograms to model diagnostics and validation.

• Coursera
• 4 hours 51 minutes
• On-Demand
• Paid Course

Coursera

Forecast and Validate Your Marketing Traffic

Master statistical forecasting and data validation to transform raw web traffic into reliable business intelligence for confident marketing decisions.

• Coursera
• 1 hour 4 minutes
• On-Demand
• Paid Course

EDUCBA Microcredential

Apply Advanced SPSS Data Analytics & Modeling

Master SPSS for advanced data analytics, statistical modeling, and predictive analysis through hands-on practice with real-world datasets from finance, healthcare, and market research.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 6 courses

R Programming: Data Analysis and Modeling

Dive into R's data science capabilities with data manipulation, analysis, visualization using ggplot2, and statistical/machine learning modeling for predictions.

• Coursera
• 18 hours
• On-Demand
• Paid Course