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  • Statistical Inference

Statistical Inference Courses

Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.


Popular Statistical Inference Courses and Certifications


  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Data Analytics and Visualization with Tableau and more

    Skills you'll gain: R Programming, Alteryx, Statistical Programming, Tableau Software, Data Cleansing, Data Visualization Software, Dashboard, Data Visualization, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Data Processing, Data Manipulation, Data Transformation, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Deployment, Data Strategy, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, Dataflow, Embeddings

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Intro to Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Image Analysis, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Azure DevOps, Machine Learning, Information Privacy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Model Evaluation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    IA generativa: descubre los conceptos fundamentales

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Deep Learning, Data Ethics, Machine Learning, Business Solutions, Data Access, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Digital Innovation: How to Build Digital Processes

    Skills you'll gain: Innovation, Digital Transformation, Digital Communications, Business Transformation, Data Storage, Fundraising and Crowdsourcing, Social Impact, Computational Thinking, Artificial Intelligence, Media Strategy, Information Privacy, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Recommender Systems

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • C

    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

  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…155156157…214

In summary, here are 10 of our most popular statistical inference courses

  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Alteryx Advanced: Packt
  • Data Analytics and Visualization with Tableau and more: Packt
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Intro to Artificial Intelligence on Microsoft Azure: Microsoft
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • IA generativa: descubre los conceptos fundamentales: Google Cloud
  • Digital Innovation: How to Build Digital Processes: University of California, Davis
  • Recommender Systems: Packt

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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