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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


  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Geospatial Data Engineering

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Geospatial Information and Technology, Apache Airflow, Geospatial Mapping, Spatial Data Analysis, GIS Software, Cloud Computing, Geographic Information Systems, Leaflet (Software), Google Cloud Platform, Real Time Data, Global Positioning Systems, Data Transformation, Data Analysis, Anomaly Detection, Technical Communication, Machine Learning

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Understand and Apply AI Fundamentals with AWS

    Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning Algorithms, AWS SageMaker, Amazon Bedrock, Machine Learning, AI literacy, Model Training, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, LLM Application, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Glasgow

    Generative AI for Data Science

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, AI literacy, Risking, AI Integrations, Data Ethics, ChatGPT, Risk Management Framework, Data Science, LLM Application, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Security, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Power Pivot in Excel for Data Analysis

    Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Data Import/Export, Dashboard, Data Modeling, Spreadsheet Software, Dashboard Creation, Statistical Methods, Business Analytics, Business Intelligence, Statistical Analysis, Statistics, Data Analysis, Excel Formulas, Interactive Data Visualization, Data Processing, Data Manipulation, Data Preprocessing, Exploratory Data Analysis, Relationship Building

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Portfolio Managers: Smarter Asset Allocation

    Skills you'll gain: Portfolio Management, Responsible AI, Data Ethics, Asset Management, Portfolio Risk, AI Enablement, Investment Management, Generative AI, AI Personalization, Prompt Patterns, Financial Services, ChatGPT, AI Integrations, Risk Management, Risk Analysis, Risk Appetite, LLM Application, Continuous Monitoring, Real Time Data, Correlation Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Quantitative Methods for Financial Analysis

    Skills you'll gain: Technical Analysis, Sampling (Statistics), Quantitative Research, Financial Analysis, Statistical Hypothesis Testing, Portfolio Risk, Probability, Return On Investment, Portfolio Management, Financial Data, Statistical Analysis, Financial Market, Statistical Methods, Probability Distribution, Probability & Statistics, Market Trend, Finance, Performance Metric, Investment Management, Descriptive Statistics

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Technologies, Tools & Cloud Certification Specialization

    Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, AI powered creativity, AWS SageMaker, Responsible AI, Applied Machine Learning, Model Optimization, Natural Language Processing, Generative AI, Machine Learning, Prompt Engineering Tools, Prompt Engineering, Cloud Deployment, Customer experience improvement, AI Integrations

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Social Impact, Science and Research, Clinical Research, Statistical Methods, Research Methodologies, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

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

  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Geospatial Data Engineering: Coursera
  • Understand and Apply AI Fundamentals with AWS: EDUCBA
  • Generative AI for Data Science: University of Glasgow
  • Power Pivot in Excel for Data Analysis: EDUCBA
  • Level Up: Java-Powered Machine Learning: Coursera
  • Data Science Fundamentals, Part 1: Pearson
  • GenAI for Portfolio Managers: Smarter Asset Allocation: Coursera
  • Quantitative Methods for Financial Analysis: EDUCBA
  • ML: Build, Train, Justify Models: Coursera

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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