Statsmodels Courses and Certifications

Derek Banas

Linear Regressions with StatsModels - Data Science Tutorial

Learn to create linear regressions using StatsModels, exploring datasets and examples with NumPy, Pandas, Matplotlib, and Seaborn. Analyze professor ratings and tipping strategies through practical applications.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Inferential Statistical Analysis with Python

905 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• On-Demand
• Free Online Course (Audit)

Python for Time Series Data Analysis

8325 ratings at Udemy

Learn how to use Python , Pandas, Numpy , and Statsmodels for Time Series Forecasting and Analysis!

• Udemy
• 15 hours 21 minutes
• On-Demand
• Paid Course

Introduction to Linear Modeling in Python

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning 101 with Scikit-learn and StatsModels

799 ratings at Udemy

New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis

• Udemy
• 5 hours 17 minutes
• On-Demand
• Paid Course

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Linear Regression and Logistic Regression in Python

508 ratings at Udemy

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

• Udemy
• 7 hours 39 minutes
• On-Demand
• Paid Course

New York Institute of Finance;  Google Cloud

Using Machine Learning in Trading and Finance

365 ratings at Coursera

Explore machine learning techniques for advanced trading strategies, including quantitative, pairs, and momentum trading. Learn to design, build, and back test models using TensorFlow and Keras.

• Coursera
• 9 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Regression with statsmodels in Python

40 ratings at DataCamp

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Exploring and Analyzing Data in Python

37 ratings at DataCamp

Learn how to explore, visualize, and extract insights from data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Intermediate Regression with statsmodels in Python

15 ratings at DataCamp

Learn to perform linear and logistic regression with multiple explanatory variables.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Corporate Finance Institute

Regression Analysis - Fundamentals & Practical Applications

Master linear regression techniques through hands-on practice in Excel and Python, from basic calculations to advanced modeling. Learn to interpret statistical outputs and make data-driven predictions for real business applications.

• Coursera
• 4 hours 8 minutes
• On-Demand
• Free Online Course (Audit)

Learn how to fit, interpret, and compare linear regression models in Python.

• Codecademy
• 6 hours
• On-Demand
• Free Trial Available

Explore techniques for selecting and evaluating linear regression models, interpreting results, and making data-driven recommendations for optimal model choice.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Derek Banas

Stock Market Prediction Using Regression Analysis - Python for Finance

Learn stock market prediction using Python, covering regression analysis, forecasting, and ARIMA models to guide investment decisions based on past performance.

• YouTube
• 26 minutes
• On-Demand
• Free Video