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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.


More to explore:

Popular Linear Regression Courses and Certifications


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    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Customer Segmentation with K-Means: Model & Visualize

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Splunk Fundamentals: Analyze & Visualize Data

    Skills you'll gain: Splunk, Dashboard, Business Intelligence, Scatter Plots, Data Visualization Software, Data-Driven Decision-Making, Software Installation, Graphing, Real Time Data, Trend Analysis, Event Monitoring, Transaction Processing, Anomaly Detection, System Configuration, Correlation Analysis, Statistical Analysis, Data Manipulation

    Mixed · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, A/B Testing, Matplotlib, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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    Simplilearn

    Generative AI in Design Phase Training

    Skills you'll gain: AI Personalization, Wireframing, Generative AI, Prototyping, Figma (Design Software), Information Architecture, User Interface and User Experience (UI/UX) Design, User Flows, UI Components, Technical Design, Application Design, Software Architecture, Responsive Web Design

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Advanced Cypress Testing

    Skills you'll gain: API Testing, Test Script Development, Scenario Testing, Software Testing, Integration Testing, Test Case, Test Automation, Test Tools, Regression Testing, Maintainability, User Interface (UI), Security Testing, Test Data, Scalability, Debugging, Authentications, Compliance Reporting, Automation

    Intermediate · Course · 1 - 4 Weeks

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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

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    Northwestern University

    현대 로봇공학, 강좌 3: 로봇 동역학

    Skills you'll gain: Robotics, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanics, Torque (Physics), Algorithms, Applied Mathematics, Differential Equations, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

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    H2O.ai

    DataPrep for H2O Driverless AI

    Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Foundations for Data Analytics Part 2

    Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Exploratory Data Analysis, Feature Engineering, Data Structures, Unstructured Data, Data Cleansing, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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

  • AI & Predictive Analytics with Python: EDUCBA
  • Customer Segmentation with K-Means: Model & Visualize: EDUCBA
  • Splunk Fundamentals: Analyze & Visualize Data: EDUCBA
  • Data Science Fundamentals, Part 2: Pearson
  • Generative AI in Design Phase Training: Simplilearn
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Advanced Cypress Testing: Coursera
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
  • DataPrep for H2O Driverless AI: H2O.ai

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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