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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


  • J

    Johns Hopkins University

    Data Visualization & Dashboarding with R

    Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    448 reviews

    Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Data and Health Indicators in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Health Policy, Health Care, Health Disparities, Social Determinants Of Health, Infectious Diseases, Medical Records, Descriptive Analytics, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    254 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Virginia

    Cost and Economics in Pricing Strategy

    Skills you'll gain: Price Negotiation, Market Dynamics, Product Strategy, Revenue Management, Cost Accounting, Economics, Demand Planning, Cost Benefit Analysis, Consumer Behaviour, Case Studies, Marketing Channel, Customer Analysis, Regression Analysis, Competitive Analysis, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    694 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    How to Finance and Grow Your Startup – Without VC

    Skills you'll gain: Entrepreneurial Finance, Business Modeling, Entrepreneurship, Product Development, Growth Strategies, Customer Insights, Financial Modeling, Business Strategies, Case Studies, Revenue Management, Market Dynamics, Finance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    473 reviews

    Beginner · Course · 1 - 3 Months

  • Y

    Yonsei University

    Emerging Technologies: From Smartphones to IoT to Big Data

    Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Apple iOS, Market Analysis, Display Devices, Product Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDHEC Business School

    Introduction to Portfolio Construction and Analysis with Python

    Skills you'll gain: Investment Management, Portfolio Management, Portfolio Risk, Investments, Return On Investment, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    832 reviews

    Beginner · Specialization · 3 - 6 Months

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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1…596061…214

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

  • Data Visualization & Dashboarding with R: Johns Hopkins University
  • Data and Health Indicators in Public Health Practice: Johns Hopkins University
  • Foundations of AI and Machine Learning: Microsoft
  • Cost and Economics in Pricing Strategy: University of Virginia
  • How to Finance and Grow Your Startup – Without VC: University of London
  • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Probabilistic Graphical Models 3: Learning: Stanford 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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