Regression Models Courses and Certifications

The DMAIC Framework: Analyze, Improve, and Control Phase

18 ratings at Coursera

Learn to analyze root causes, implement solutions, and sustain improvements using data analysis techniques, hypothesis testing, and control plans. Master the final phases of DMAIC for effective process optimization and quality control.

• Coursera
• 8 hours 41 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Data Science & Machine Learning Fundamentals

16 ratings at Coursera

Master data science fundamentals through real-world business applications, from regression and classification to feature engineering. Gain practical insights for implementing data-driven decision making in your organization.

• Coursera
• 5 hours 45 minutes
• Self-Paced
• Paid Course

EDUCBA

Machine Learning with R: Build, Analyze & Predict

16 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
• Self-Paced
• Paid Course

EDUCBA

Linear Regression & Predictive Modeling with SPSS

16 ratings at Coursera

Master linear regression and predictive modeling using SPSS through hands-on applications in engineering, energy, and finance for data-driven decision-making.

• Coursera
• 7 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Quantitative Statistics with Excel

15 ratings at Coursera

Master advanced Excel techniques for complex data analysis, including regression and hypothesis testing. Apply skills to real-world scenarios in marketing and manufacturing to drive informed business decisions.

• Coursera
• 2 hours 52 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Apply Advanced SPSS Data Analytics & Modeling

15 ratings at Coursera

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/week
• Self-Paced
• Paid Course
• 6 courses

EDUCBA

Data Analysis with Minitab: Analyze & Apply

15 ratings at Coursera

Master statistical analysis and predictive modeling using Minitab through hands-on practice with real datasets, ANOVA, t-tests, and hypothesis testing for data-driven decision making.

• Coursera
• 4 hours 58 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Foundations of Machine Learning

14 ratings at Coursera

Demystify machine learning fundamentals, build models, analyze data, and apply strategies to real-world scenarios. Gain practical skills for data-driven decision-making and problem-solving.

• Coursera
• 1 day 1 hour 5 minutes
• Self-Paced
• Paid Course

EDUCBA

Six Sigma Black Belt: Analyze, Improve & Control

13 ratings at Coursera

Master Six Sigma Black Belt methodologies through data analysis, process improvement, and statistical tools to drive organizational quality excellence and certification readiness.

• Coursera
• 12 hours 24 minutes
• Self-Paced
• Paid Course

Career Certificate

Mathematical Foundations for Data Science and Analytics

12 ratings at Coursera

Master essential mathematical concepts including linear algebra, statistics, calculus, and probability theory to build strong foundations for data science and analytics careers.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt

Python for Finance: Investment Fundamentals & Data Analytics

12 ratings at Coursera

Master Python for finance: calculate returns, measure risk, optimize portfolios, and run simulations. Apply advanced tools like CAPM and Monte Carlo to make data-driven investment decisions and implement financial strategies.

• Coursera
• 12 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Evaluate Predictive ML Models

12 ratings at Coursera

Master PySpark's MLlib to build, evaluate, and deploy scalable regression, classification, and clustering models using distributed computing for real-world data analytics.

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

EDUCBA

Quantitative Finance with SAS: Apply, Analyze & Evaluate

12 ratings at Coursera

Master SAS for quantitative finance through statistical analysis, regression modeling, market data evaluation, and risk assessment with real-world BSE Sensex and forex applications.

• Coursera
• 4 hours 45 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn to Solve Regression Machine Learning Problems

11 ratings at Coursera

Learn to build and train regression models using Scikit-Learn, exploring algorithms like support vector machines, random forests, and gradient boosting. Gain practical skills applicable to various industries.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Packt

Statistics & Mathematics for Data Science & Data Analytics

11 ratings at Coursera

Master essential statistical and mathematical concepts for data science, from descriptive statistics and probability theory to regression analysis and hypothesis testing, with practical applications for real-world data problems.

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