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  • Linear Regression

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


  • C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Regression Analysis, Data Manipulation, Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of London

    Quantitative Foundations for International Business

    Skills you'll gain: Business Mathematics, Linear Algebra, Mathematical Modeling, Calculus, Financial Modeling, Algebra, Business Economics, Graphing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    425 reviews

    Mixed · Course · 1 - 4 Weeks

  • E

    Emory University

    Math for MBA and GMAT Prep

    Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Statistical Analysis, Algebra, Calculus, Arithmetic, Business

    4.3
    Rating, 4.3 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    American Psychological Association

    Methods for Quantitative Research in Psychology

    Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Surveys, Research, Research and Design, Qualitative Research, Correlation Analysis, Data Collection, Data Analysis, Psychology, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    187 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    98 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IIT Bombay

    Introduction to Internet of Things

    Skills you'll gain: Internet Of Things, Network Protocols, Wireless Networks, Emerging Technologies, Data Analysis, Communication Systems, Digital Signal Processing, Scikit Learn (Machine Learning Library), Regression Analysis, Pandas (Python Package), Unsupervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    84 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of California, Irvine

    Supply Chain Planning

    Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Supply Chain, Capacity Planning, Production Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    328 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Differential Calculus through Data and Modeling

    Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Derivatives, Mathematical Theory & Analysis, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    390 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    22 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Foundations of Machine Learning: Coursera
  • Quantitative Foundations for International Business: University of London
  • Math for MBA and GMAT Prep: Emory University
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Methods for Quantitative Research in Psychology: American Psychological Association
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Introduction to Internet of Things: IIT Bombay
  • Foundations of marketing analytics: ESSEC Business School
  • Supply Chain Planning: University of California, Irvine
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego

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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