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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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    Northwestern University

    현대 로봇공학, 강좌 1: 로봇 동작의 기초

    Skills you'll gain: Robotics, Mathematical Modeling, Engineering, Mechanics, Automation, 3D Modeling, Engineering Analysis, Virtual Environment, Simulation and Simulation Software, Matlab, Control Systems, Linear Algebra, Computer Programming Tools

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

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    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

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    Packt

    120 Quick Stata Tips

    Skills you'll gain: Stata, STATA (Software), Scripting, Graphing, Data Visualization Software, Data Manipulation, Statistical Methods, Data Analysis, Data Management, Statistical Programming, Data Presentation, Debugging, Data Import/Export, Data Integrity

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Apply and Predict: Time Series Forecasting in Excel

    Skills you'll gain: Regression Analysis, Time Series Analysis and Forecasting, Forecasting, People Analytics, Trend Analysis, Microsoft Excel, Statistical Modeling, Correlation Analysis, Predictive Analytics, Statistical Analysis, Data Analysis Software, Analytical Skills, Probability & Statistics, Graphing, Climate Change Adaptation, Data Manipulation

    Mixed · Course · 1 - 3 Months

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    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

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    University of Virginia

    تحليلات التسويق

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Marketing, Customer Analysis, Data-Driven Decision-Making, Analytics, Performance Measurement, Strategic Marketing, Brand Management, Regression Analysis, Consumer Behaviour, Return On Investment, A/B Testing, Statistical Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free
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    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Project · Less Than 2 Hours

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    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

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    Politecnico di Milano

    Modelling and measuring the Energy Transition

    Skills you'll gain: Product Lifecycle Management, Environmental Science, Sustainable Development, Mathematical Modeling, Sustainable Engineering, Systems Thinking, Analysis, Microsoft Excel, Case Studies, Accounting, Open Source Technology

    4.3
    Rating, 4.3 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

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    ESSEC Business School

    Deploying the circular economy within organisations

    Skills you'll gain: Sustainable Business, Corporate Sustainability, Sustainable Development, Business Transformation, Organizational Change, Waste Minimization, Systems Thinking, Environmental Issue, Business Modeling, Innovation, Product Lifecycle Management, Stakeholder Engagement, Case Studies

    4.5
    Rating, 4.5 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • 현대 로봇공학, 강좌 1: 로봇 동작의 기초: Northwestern University
  • AI Driven Machine Learning with Python: EDUCBA
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • 120 Quick Stata Tips: Packt
  • Apply and Predict: Time Series Forecasting in Excel: EDUCBA
  • Advanced Semantic Processing: Packt
  • تحليلات التسويق: University of Virginia
  • Quantization in Depth: DeepLearning.AI
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University

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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