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Linear Regression Courses

Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.


Popular Linear Regression Courses and Certifications


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    EDUCBA

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis

    Mixed · Course · 1 - 4 Weeks

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    Dartmouth College

    Prescriptive Analytics

    Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Data-Driven Decision-Making, Strategic Decision-Making, Data Science, Feature Engineering, Complex Problem Solving, Logistics, Model Evaluation, Python Programming, Decision Making, Cloud Computing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Draw a wireframe in Wireframe.cc

    Skills you'll gain: Wireframing, User Experience Design, Usability, Layout Design, Mockups, User Interface (UI) Design, UI Components, Persona Development, Information Architecture, Web Design, Design, Color Theory

    4.4
    Rating, 4.4 out of 5 stars
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    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Master Unity Game Physics: Apply, Simulate & Transform

    Skills you'll gain: Unity Engine, Torque (Physics), Game Design, Video Game Development, Mechanics, Simulations, Mathematical Modeling, Physics, Engineering Calculations, Scripting, C# (Programming Language), Linear Algebra, Applied Mathematics

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Apply and Predict: Time Series Forecasting in Excel

    Skills you'll gain: Regression Analysis, Time Series Analysis and Forecasting, Forecasting, People Analytics, Trend Analysis, Microsoft Excel, Statistical Modeling, Correlation Analysis, Predictive Analytics, Statistical Analysis, Data Analysis Software, Analytical Skills, Probability & Statistics, Graphing, Climate Change Adaptation, Data Manipulation

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Packt

    Advanced Automation Frameworks and Testing with TestNG

    Skills you'll gain: Selenium (Software), Test Automation, Test Data, Test Case, Test Script Development, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation

    Intermediate · Course · 3 - 6 Months

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    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

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    Universidades Anáhuac

    Modelos predictivos con Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Scikit Learn (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular linear regression courses

  • Statistics for Data Science with Python: EDUCBA
  • Prescriptive Analytics: Dartmouth College
  • Draw a wireframe in Wireframe.cc: Coursera
  • Master Unity Game Physics: Apply, Simulate & Transform: EDUCBA
  • Apache Spark with Scala – Hands-On with Big Data!: Packt
  • Apply and Predict: Time Series Forecasting in Excel: EDUCBA
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Decision Tree Classifier for Beginners in R: Coursera
  • Advanced Automation Frameworks and Testing with TestNG: Packt

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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