Regression Analysis Courses and Certifications

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
• Self-Paced
• Paid Course

Business 212: Business Statistics

Learn essential business statistics concepts, from descriptive measures to probability, hypothesis testing, and forecasting, with engaging lessons and expert instructors.

• Study.com
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Maven Analytics

Complete Visual Guide to Machine Learning

Gain insights into machine learning fundamentals through visual examples and Excel-based models, covering classification, regression, forecasting, and unsupervised learning techniques - no coding required.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Statistical Analysis and Data Modeling in Healthcare

Master statistical analysis and predictive modeling techniques for healthcare data using Python, from descriptive statistics to machine learning applications.

• Coursera
• 8 hours 29 minutes
• Self-Paced
• Paid Course

Coursera

Simulate with Monte Carlo

Master Monte Carlo simulation techniques to quantify risk and forecast outcomes, building robust models for ROI analysis and sensitivity testing using Python and Excel.

• Coursera
• 3 hours 13 minutes
• Self-Paced
• Paid Course

Coursera

Solving ML Regression Problems with AWS AutoGluon

Train powerful regression models quickly using AutoGluon, the library behind AWS SageMaker autopilot. Learn to prototype and evaluate multiple models efficiently with minimal code.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

Problem Solving Skills and Critical Thinking

Master a seven-step problem-solving framework based on Bulletproof Problem Solving, using MECE logic trees, scenario analysis, and storytelling to tackle complex challenges in personal and professional contexts.

• Coursera
• 11 hours 2 minutes
• Self-Paced
• Paid Course

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

• Coursera
• 8 hours 3 minutes
• Self-Paced
• Paid Course

American Psychological Association

Measures of Correlation and Contingency

Explore statistical relationships through correlation and contingency tables. Learn to identify, understand, and describe correlations, and recognize patterns in contingency tables for effective data analysis.

• Coursera
• 2 hours 47 minutes
• Self-Paced
• Paid Course

Packt

Intermediate Data Manipulation and Machine Learning

Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.

• Coursera
• 13 hours 16 minutes
• Self-Paced
• Paid Course

Coursera

Transform Data: Cleanse, Encode, Validate

Master practical data transformation techniques using Python and pandas to cleanse messy datasets, handle missing values, encode categorical features, and validate data quality for reliable analytics.

• Coursera
• 2 hours 7 minutes
• Self-Paced
• Paid Course

TECEP Principles of Statistics: Study Guide & Test Prep

Comprehensive preparation for TECEP Principles of Statistics exam, covering key concepts through video lessons and quizzes. Master statistical principles and techniques in less than two weeks.

• Study.com
• 12 hours 8 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Data: Visualize, Summarize, and R

Master R fundamentals for financial data analysis through frequency analysis, data visualization, and categorical pattern interpretation with hands-on practice.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze Data Using R for Statistical Analytics

Master R programming for statistical analytics, data modeling, and visualization through hands-on projects and real-world business case studies in this comprehensive 9-hour training.

• Coursera
• 9 hours 6 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course