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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


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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Job Shop Scheduling Using MILP Optimization on RStudio

    Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

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    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

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    Codio

    Data Analysis in Python

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

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    Dassault Systèmes

    xDesign Feature Patterns and Sweeps

    Skills you'll gain: SolidWorks (CAD), Technical Design, Computer-Aided Design, 3D Modeling

    Beginner · Course · 1 - 4 Weeks

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    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

  • U

    University of Colorado Boulder

    Temporal Logic Model Checking

    Skills you'll gain: Computational Logic, Systems Architecture, Verification And Validation, Systems Design, Software Architecture, Systems Analysis, Theoretical Computer Science, Communication Systems, Model Evaluation, Computer Programming Tools, Algorithms

    Beginner · Course · 1 - 4 Weeks

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    IIT Roorkee

    Data Mining for Smart Cities

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Preprocessing, Anomaly Detection, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, Classification Algorithms, Statistical Programming, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Scripting Languages, Data Structures

    Mixed · Course · 1 - 4 Weeks

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

  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera
  • Network Modeling and Analysis in Python: University of Michigan
  • Data Analysis in Python: Codio
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • TensorFlow Prediction: Identify Penguin Species: Coursera
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • xDesign Feature Patterns and Sweeps: Dassault Systèmes
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Temporal Logic Model Checking : University of Colorado Boulder

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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