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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 Illinois Urbana-Champaign

      Applying Data Analytics in Marketing

      Skills you'll gain: Marketing Analytics, Regression Analysis, Network Analysis, Market Analysis, Analytics, Statistical Analysis, Customer Insights, Data Analysis, Statistical Methods, Text Mining, Unstructured Data, Social Media, Natural Language Processing

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Six Sigma White Belt

      Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Quality Improvement, Process Improvement, Quality Management, Pareto Chart, Kaizen Methodology, Statistical Process Controls, Lean Methodologies, Quality Monitoring, Lean Manufacturing, Data Visualization, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Product Cost and Investment Cash Flow Analysis

      Skills you'll gain: Cost Estimation, Cost Management, Financial Modeling, Investment Management, Risk Management, Finance, Spreadsheet Software, Financial Planning, Financial Analysis, Cost Accounting, Business Mathematics, Return On Investment, Cash Flows, Product Management

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Beginner · Course · 1 - 3 Months

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

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      143 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Expressway to Data Science: R Programming and Tidyverse

      Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Analysis, Data Wrangling, Data Manipulation, Data Visualization Software, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Statistical Reporting, Data Integration, Software Installation, Debugging

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Università Bocconi

      A Scientific Approach to Innovation Management

      Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      884 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Português)

      Skills you'll gain: Business Strategy, Market Opportunities, Artificial Intelligence, Data Ethics, Strategic Thinking, Applied Machine Learning, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Business Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Data Ethics, AI and Responsible Innovation

      Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Data Security, Information Privacy, Data Governance, Big Data, Analytical Skills, Ethical Standards And Conduct, Artificial Intelligence, Machine Learning, Social Sciences, Diversity Awareness, Accountability, Decision Making, Innovation, Algorithms

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Feature Engineering, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Fundamentals of Generative AI for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Neural Networks, Software Development Tools, Test Data, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…585960…152

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

    • Applying Data Analytics in Marketing: University of Illinois Urbana-Champaign
    • Six Sigma White Belt: Packt
    • Product Cost and Investment Cash Flow Analysis : University of Colorado Boulder
    • Statistics and Data Analysis with R: University of Colorado Boulder
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • Expressway to Data Science: R Programming and Tidyverse: University of Colorado Boulder
    • A Scientific Approach to Innovation Management: Università Bocconi
    • Getting Started with SAS Visual Analytics : SAS
    • IA Para Todos (Português): DeepLearning.AI
    • Data Ethics, AI and Responsible Innovation: The University of Edinburgh

    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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