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    • Statistical Inference

    Statistical Inference Courses Online

    Study statistical inference for drawing conclusions from data. Learn about estimation, hypothesis testing, and confidence intervals.

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    Explore the Statistical Inference Course Catalog

    • U

      Universidad Nacional Autónoma de México

      Finanzas corporativas

      Skills you'll gain: Business Valuation, Fixed Asset, Financial Statement Analysis, Financial Statements, Financial Management, Corporate Finance, Capital Budgeting, Performance Measurement, Business Mathematics, Financial Data, Financial Modeling, Mergers & Acquisitions, Investment Management, Financial Analysis, Finance, Portfolio Management, Budgeting, Financial Market, Equities, Balance Sheet

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Maryland, College Park

      Product Ideation, Design, and Management

      Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, Team Leadership, Prototyping, Competitive Analysis, Commercialization, Product Lifecycle Management, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Corporate Finance, Target Market, Market Opportunities, Product Improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      676 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence, Artificial Neural Networks, Data Processing, Deep Learning, Algorithms, Computer Programming, Unstructured Data, Machine Learning, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Storytelling, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Managing Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Reporting, Team Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Research Reports, Statistical Analysis, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Visualization (Computer Graphics), Computer Graphics, Linear Algebra, Matlab, Color Theory, Applied Mathematics, Algorithms, Statistical Process Controls, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Distributed Computing, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • A

      Arizona State University

      Design of Experiments

      Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Hypothesis Testing, Statistical Software, A/B Testing, Sampling (Statistics), Data Analysis, Estimation, Mathematical Modeling, Probability & Statistics, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Quality Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      359 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Tools for Define and Measure

      Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Process Mapping, Descriptive Statistics, Stakeholder Management, Customer Insights, Data Integrity, Statistical Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Cloud Computing, Augmented Reality, Application Development, Computer Science, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Analytics, Predictive Modeling, Correlation Analysis, Probability & Statistics, Regression Analysis, Descriptive Statistics, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidade Estadual de Campinas

      Revisão Sistemática e Meta-análise

      Skills you'll gain: Data Synthesis, Data Collection, Scientific Methods, Research, Research Design, Research Reports, Research Methodologies, Quantitative Research, Clinical Research, Investigation, Peer Review, Data Quality, Report Writing, Epidemiology, Statistical Analysis, Qualitative Research, Data Analysis, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    Statistical Inference learners also search

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    1…202122…162

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

    • Finanzas corporativas: Universidad Nacional Autónoma de México
    • Product Ideation, Design, and Management: University of Maryland, College Park
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • IBM Data Analyst Capstone Project: IBM
    • Managing Data Analysis: Johns Hopkins University
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Production Machine Learning Systems: Google Cloud
    • Design of Experiments: Arizona State University
    • Six Sigma Tools for Define and Measure: Kennesaw State University
    • Introduction to Computer Vision and Image Processing: IBM

    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)

    Frequently Asked Questions about Statistical Inference

    Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.‎

    If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.‎

    Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.‎

    Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.‎

    Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistical Inference, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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