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

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

Intermediate Regression with statsmodels in Python

16 ratings at DataCamp

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

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

Machine Learning 101 with Scikit-learn and StatsModels

874 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

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

Statistics Fundamentals in Python

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

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

Time Series in Python

Gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.

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

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

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

Inferential Statistical Analysis with Python

935 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
• Paid Course

NPTEL-NOC IITM

Hands-on Python: Fitting Regression Models with Sklearn and Statsmodels - Part 3

Fit regression models using sklearn and statsmodels in Python. Learn model setup, evaluation, and implementation techniques.

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

Python for Time Series Data Analysis

9067 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

Linear Regression and Logistic Regression in Python

569 ratings at Udemy

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

• Udemy
• 7 hours 40 minutes
• On-Demand
• Paid Course

New York Institute of Finance;  Google Cloud

Using Machine Learning in Trading and Finance

378 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
• 7 hours 58 minutes
• On-Demand
• Paid Course

Coursera

Foundations of Machine Learning

11 ratings at Coursera

Master fundamental ML techniques including supervised/unsupervised learning, data preprocessing, and time series forecasting using Python libraries for real-world applications.

• Coursera
• 1 day 6 hours 19 minutes
• On-Demand
• Paid Course