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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


  • D

    Duke University

    Think Again II: How to Reason Deductively

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Diagram Design, Information Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    414 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    445 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines

    4.2
    Rating, 4.2 out of 5 stars
    ·
    618 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Colorado Boulder

    Introduction to Robotics with Webots

    Skills you'll gain: Robotics, Artificial Intelligence, Automation, Data Mapping, Graph Theory, Planning, Algorithms, Computer Programming, Computer Vision, Computer Science, Simulation and Simulation Software, Control Systems, Real-Time Operating Systems, Engineering, Data Structures, Python Programming, Simulations, Linear Algebra, Design

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, System Testing, Test Case, Test Automation, Development Testing, Test Planning, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Data

    4.3
    Rating, 4.3 out of 5 stars
    ·
    830 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    611 reviews

    Advanced · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, Distributed Computing, Linear Algebra, Computer Graphics, Hardware Architecture, Mathematical Software, Numerical Analysis, Programming Principles, Computer Architecture, System Programming, Program Development, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    194 reviews

    Intermediate · Specialization · 3 - 6 Months

  • S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    100 reviews

    Beginner · Course · 1 - 3 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Signal Processing, Digital Communications, Electrical and Computer Engineering, Electronic Systems, Electronics, Numerical Analysis, Telecommunications, Linear Algebra, Mathematical Modeling, Time Series Analysis and Forecasting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    571 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Think Again II: How to Reason Deductively: Duke University
  • Machine Learning with Apache Spark: IBM
  • Modern Data Analytics with Python, Excel & Generative AI: Coursera
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Introduction to Robotics with Webots: University of Colorado Boulder
  • Introduction to Software Testing: University of Minnesota
  • The Nuts and Bolts of Machine Learning: Google
  • GPU Programming: Johns Hopkins University
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS

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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