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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


  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Designing & Deploying Scalable Power BI Solutions

    Skills you'll gain: Dashboard, Interactive Data Visualization, Power BI, Data Storytelling, Data Visualization Software, Key Performance Indicators (KPIs), Business Intelligence, Data Ethics, Collaboration, Data Governance, Data Sharing, Performance Reporting, Data-Driven Decision-Making, Statistical Reporting, Business Analytics, Data Management, Data Security, Performance Management, Continuous Deployment, Cloud-Based Integration

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

    Skills you'll gain: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    First Steps in R: Importing and Exporting Data

    Skills you'll gain: Data Import/Export, Microsoft Visual Studio, Microsoft Excel, R Programming, Data Processing, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Python: Apply & Evaluate Sales Forecasting with Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Feature Engineering, Forecasting, Data-Driven Decision-Making, Data Preprocessing, Trend Analysis, Predictive Analytics, Predictive Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Analysis, Pandas (Python Package), Jupyter

    Mixed · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    IA generativa: conceitos básicos

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Artificial Intelligence, Large Language Modeling, Business Logic, Data-Driven Decision-Making, Machine Learning, Unstructured Data, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Secure AI Systems Across Lifecycle Stages

    Skills you'll gain: AI Security, Threat Modeling, MITRE ATT&CK Framework, Security Controls, Responsible AI, MLOps (Machine Learning Operations), Secure Coding, Security Testing, Cybersecurity, Model Deployment, Data Security, Threat Detection, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Assessments, Application Lifecycle Management

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Using the Natural Language API from Google Docs

    Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Cloud API, Document Management, Machine Learning

    Intermediate · Project · Less Than 2 Hours

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

  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Designing & Deploying Scalable Power BI Solutions: Edureka
  • Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Machine Learning with Python: Case Studies: EDUCBA
  • Automate, Analyze, and AI Feedback: Coursera
  • First Steps in R: Importing and Exporting Data: Microsoft
  • Python: Apply & Evaluate Sales Forecasting with Time Series: EDUCBA
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • IA generativa: conceitos básicos: Google Cloud

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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