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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


  • P

    Packt

    Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

    Skills you'll gain: Data Import/Export, Data Visualization Software, Cloud Deployment, Data Visualization, Restful API, Data Mapping, Extract, Transform, Load, Histogram, Data Transformation, Amazon Web Services, Apache Kafka, Scalability, Cloud Management, Information Architecture, System Monitoring, Network Monitoring, Application Performance Management, Cloud Computing, Data Management, Data Structures

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 1 - 3 Months

  • J

    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

  • S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    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

  • E

    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • N

    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

  • E

    EDUCBA

    Univariate Time Series Analytics & Modeling with EViews

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Plot (Graphics)

    Mixed · Course · 1 - 4 Weeks

  • E

    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

  • E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • P

    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

  • B

    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

1…808182…99

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

  • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt
  • Business Analytics with Excel: Intermediate to Advanced: Johns Hopkins University
  • Statistics You Need to Know for Machine Learning: SAS
  • Decision Tree Classifier for Beginners in R: Coursera
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Univariate Time Series Analytics & Modeling with EViews: EDUCBA
  • Statistics for Data Science with Python: EDUCBA
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA

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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