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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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    Coursera

    Robot Framework Test Automation Essentials

    Skills you'll gain: Test Script Development, Selenium (Software)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    In core nuclear fuel management

    Skills you'll gain: Process Engineering, Chemical Engineering, Energy and Utilities, Engineering Design Process, Mechanical Engineering, Engineering Calculations, Control Systems, Cost Estimation, Mathematical Modeling, Simulation and Simulation Software, Safety Standards

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Johns Hopkins University

    Business Analytics with Excel: Intermediate to Advanced

    Skills you'll gain: Operations Research, Network Model, Excel Macros, Strategic Decision-Making, Microsoft Excel, Process Optimization, Transportation, Supply Chain, and Logistics, Transportation Operations, Operational Analysis, Business Modeling, Business Analytics, Financial Modeling

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
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    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Advanced Data Structures and Algorithms

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Create your UX portfolio with Adobe Portfolio

    Skills you'll gain: Adobe Creative Cloud, Web Content, Digital Publishing, Content Creation, Multimedia, Information Architecture, Layout Design, User Experience Design

    4
    Rating, 4 out of 5 stars
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    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • C

    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
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    Notion for Beginners: Build Powerful Dashboards & Databases

    Skills you'll gain: Dashboard, Timelines, Database Management, Databases, Project Schedules, Data Visualization, Calendar Management, Workflow Management, Information Architecture, Kanban Principles, Collaborative Software, Content Development and Management

    Mixed · Course · 1 - 3 Months

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

  • Robot Framework Test Automation Essentials: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • In core nuclear fuel management: Universidad Nacional Autónoma de México
  • Intermediate Data Manipulation and Machine Learning: Packt
  • Business Analytics with Excel: Intermediate to Advanced: Johns Hopkins University
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Deep Learning with Real-World Projects: Packt
  • Advanced Data Structures and Algorithms: Packt
  • Create your UX portfolio with Adobe Portfolio: Coursera
  • Advanced Probability and Statistical Methods: Johns Hopkins University

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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