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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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Statistical Methods, Probability & Statistics, Data Analysis, Data Visualization, R Programming, Statistical Inference, Variance Analysis, Sampling (Statistics)

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to R: Basic R syntax

      Skills you'll gain: R Programming, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      46 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Financing for Startup Businesses

      Skills you'll gain: FinTech, Entrepreneurial Finance, Fundraising and Crowdsourcing, Financial Analysis, Equities, Financial Modeling, Private Equity, Credit Risk, Liquidation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      208 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Improve Phase for the 6 σ Black Belt

      Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Operational Efficiency, Statistical Methods, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Applying Data Analytics in Accounting

      Skills you'll gain: Internal Controls, Data Visualization, Robotic Process Automation, Accounting and Finance Software, Auditing, Internal Auditing, Alteryx, Financial Auditing, Accounting, Business Process Automation, Analytics, Automation, Text Mining, R Programming, Blockchain, Natural Language Processing, Process Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI for Design and Optimization

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Computer-Aided Design, Design Thinking, Technical Design, Machine Learning Methods, Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Machine Learning Algorithms, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Rock Star – the End-to-End Practice

      Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Business Leadership, Performance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      188 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • T

      Technical University of Munich (TUM)

      From Zero to Hero - Digital Product Development From Scratch

      Skills you'll gain: MLOps (Machine Learning Operations), Amazon Web Services, Generative AI, Product Development, New Product Development, Innovation, User Centered Design, Machine Learning, User Research, Problem Management, Design Thinking, Risk Management, Prototyping, Market Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

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    1…686970…154

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

    • Data Driven Decision Making: University of Colorado Boulder
    • Introduction to R: Basic R syntax: Coursera Project Network
    • Financing for Startup Businesses: Duke University
    • Data Science for Health Research: University of Michigan
    • The Improve Phase for the 6 σ Black Belt: Kennesaw State University
    • Applying Data Analytics in Accounting: University of Illinois Urbana-Champaign
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • AI for Design and Optimization: University of Michigan
    • Machine Learning Rock Star – the End-to-End Practice: SAS
    • Specialized Models: Time Series and Survival Analysis: 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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