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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


  • U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Social Media Analytics, Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Analytics, Statistical Programming, Correlation Analysis, R (Software), Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Python Programming

    ★ 4.1 (298) · Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Portfolio Risk, Portfolio Management, Risk Modeling, Financial Data, Risk Analysis, Investment Management, Return On Investment, Time Series Analysis and Forecasting, Financial Modeling, Investments, Object Oriented Programming (OOP), Statistical Analysis, General Finance, Correlation Analysis, Simulations, Regression Analysis, Financial Forecasting, Simulation and Simulation Software, Jupyter, Python Programming

    ★ 4.5 (12) · Intermediate · Course · 3 - 6 Months

  • S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    ★ 4.4 (93) · Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    ★ 4.5 (396) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms

    ★ 4.6 (11) · Advanced · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Predictive Analytics, Verification And Validation, Statistical Modeling, Model Optimization, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Text Mining, Classification Algorithms, Natural Language Processing

    ★ 4.3 (49) · Intermediate · Course · 1 - 4 Weeks

  • C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Model Optimization, Python Programming, Algorithms, Case Studies

    ★ 4.4 (44) · Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Python Programming, Analysis

    ★ 4.6 (267) · Advanced · Course · 1 - 4 Weeks

  • H

    Howard University

    Introduction to Linear Algebra and Python

    Skills you'll gain: Linear Algebra, Data Visualization, Applied Mathematics, Plot (Graphics), Scientific Visualization, NumPy, Mathematical Software, Algebra, Jupyter, Data Analysis Software, Mathematical Modeling, Computer Programming Tools, Data Science, Software Development Tools, Python Programming, Software Installation, Data Manipulation, Git (Version Control System), Version Control

    ★ 4.4 (16) · Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    ★ 3.9 (379) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Wrangling, Data Processing, Data Visualization, Plot (Graphics), Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Data Integration, Statistics, Infectious Diseases, Python Programming

    ★ 4.5 (2K) · Intermediate · Guided Project · Less Than 2 Hours

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

  • Social Media Data Analytics: University of Washington
  • Python for Finance: Investment Fundamentals & Data Analytics: Packt
  • Machine Learning Basics: Sungkyunkwan University
  • Logistic Regression with NumPy and Python: Coursera
  • Data Mining in Python: University of Michigan
  • Meaningful Predictive Modeling: University of California San Diego
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Introduction to Linear Algebra and Python: Howard University
  • Mathematics for Machine Learning: PCA: Imperial College London

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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