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  • Regression

Regression Courses

Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Popular Regression Courses and Certifications


  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Visualization, Plot (Graphics), Python Programming, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Data Manipulation

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Statistical Data Analysis with Minitab

    Skills you'll gain: Classification And Regression Tree (CART), Data-Driven Decision-Making, Minitab, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Case Studies, Business Analytics, Strategic Decision-Making, Data Visualization, Analytics, Decision Tree Learning, Predictive Analytics, Estimation, Statistical Visualization, Probability & Statistics, Statistical Analysis, Data Analysis, Decision Making, Data Literacy

    Beginner · Specialization · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Statistical Methods and Data Analysis

    Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data

    Mixed · Course · 1 - 3 Months

  • U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Statistical Machine Learning, Data Validation, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms

    ★ 5 (49) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    Applied NLP and Generative AI

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Advanced Statistical Modeling Using SPSS

    Skills you'll gain: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Analytics, Advanced Analytics, Correlation Analysis, Data Literacy, Data Analysis, Statistical Reporting, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Data Presentation, Predictive Analytics, Statistical Visualization

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    How to Visualize Data with R

    Skills you'll gain: Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R (Software), R Programming, Scatter Plots, Data Collection, Graphing, Data Analysis, Data Manipulation, Data Access, Data Import/Export, Regression Analysis, Data Structures, Development Environment, Software Installation

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Interpret Data Using Excel

    Skills you'll gain: Scatter Plots, Plot (Graphics), Regression Analysis, Excel Formulas, Statistical Visualization, Microsoft Excel, Data Analysis, Statistical Modeling, Descriptive Statistics, Analytics, Statistical Analysis, Statistical Methods, Descriptive Analytics, Spreadsheet Software, Correlation Analysis, Statistics, Analysis, Exploratory Data Analysis, Predictive Modeling, Trend Analysis

    ★ 5 (8) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Six Sigma Black Belt: Analyze, Improve & Control

    Skills you'll gain: Lean Six Sigma, Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Improvement and Optimization, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Predictive Analytics, Statistical Methods, Process Capability, Statistics, Quality Management, Statistical Analysis, Quality Monitoring

    ★ 5 (13) · Mixed · Course · 1 - 4 Weeks

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

  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Apply Statistical Data Analysis with Minitab: EDUCBA
  • Statistical Methods and Data Analysis : O.P. Jindal Global University
  • Machine Learning and its Applications: University of Glasgow
  • Applied NLP and Generative AI: Packt
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Apply Advanced Statistical Modeling Using SPSS : EDUCBA
  • How to Visualize Data with R: Packt
  • Analyze and Interpret Data Using Excel: EDUCBA

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