Regression

EdX

Georgetown University,GeorgetownX

Impact Evaluation Methods with Applications in Low- and Middle-Income Countries (edX)

Economics & Finance

Economic development aims at improving lives through targeted interventions across various sectors like health, education, microfinance, agriculture, and more. This course equips you with the essential tools to evaluate these impacts effectively. You'll learn about designing and conducting randomized control trials, as well as analyzing data using regression techniques.

Self Paced

Self-Paced

Regression Economic Development Randomized Controlled Trials

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EdX

Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Robotics & Computer Vision

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced

Self-Paced

ML Artificial Intelligence Machine Learning

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Coursera

University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Sep 7th 2026

4 Weeks

Statistics Regression Neural Networks

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Coursera

EDUCBA

Regression & Forecasting for Data Scientists using Python (Coursera)

CS: Information & Technology Data Science

Dive into the world of data science with our Regression & Forecasting for Data Scientists using Python course. This expert-led program will equip you with advanced skills in regression analysis, time-series forecasting, and linear modeling, all while utilizing Python as a powerful tool. Whether you're aiming to improve business decisions or predict market trends, this course is your gateway to unlocking the predictive power of data.

Sep 7th 2026

4 Weeks

Python Regression Linear Regression

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Coursera

University of Colorado Boulder

Customer Data Analytics for Marketers (Coursera)

Statistics & Data Analysis Data Science

Dive into Customer Data Analytics for Marketers, a course that equips you with the skills to transform raw data into actionable insights. Perfect for those in the marketing field, this program explores correlation and causality, statistical analysis, and how to apply these tools to enhance your marketing strategies effectively.

Sep 7th 2026

4 Weeks

Marketing Regression Statistical Methods

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EdX

University of Wisconsin–Madison,WisconsinX

Statistics Using Python (edX)

Statistics & Data Analysis CS: Programming

Discover how to harness the power of Python in understanding and interpreting statistical data with our 'Statistics Using Python' course on edX. This beginner-friendly program serves as an excellent foundation for anyone looking to perform data-driven business analysis. You'll explore concepts such as descriptive statistics, probability theory, hypothesis testing, correlation, and regression modeling while learning essential Python programming skills that are crucial in the modern analytical landscape.

Sep 2nd 2026

5-12 Weeks

Python Statistics Probability

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Coursera

SAS

Statistics with SAS (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data analysis with 'Statistics with SAS' – a beginner-friendly course designed for those using SAS software. Gain expertise in performing statistical analyses including t-tests, ANOVA, and linear regression, plus a brief introduction to logistic regression.

Jun 29th 2026

5-12 Weeks

Statistics Regression ANOVA

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Coursera

IBM

Supervised Learning: Regression (Coursera)

Data Science

Dive into the world of Supervised Learning with our Regression course on Coursera. Master the art of predicting continuous outcomes by training effective models and using precise error metrics. Gain insights into best practices like splitting datasets for testing and applying regularization to enhance model performance.

Jun 29th 2026

3 Weeks

Machine Learning Regression Linear Regression

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Coursera

Stanford University,DeepLearning.AI

Supervised Machine Learning: Regression and Classification (Coursera)

Data Science

Dive into the world of Supervised Machine Learning with our introductory course designed to equip you with essential skills in model building and training. This course will guide you through constructing and refining regression and classification models using Python's powerful libraries such as NumPy and scikit-learn, enabling you to tackle prediction and binary classification tasks effectively.

Jun 29th 2026

3 Weeks

Python Machine Learning Regression

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