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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

      University of Illinois Urbana-Champaign

      Finance of Mergers and Acquisitions: Valuation and Pricing

      Skills you'll gain: Mergers & Acquisitions, Business Valuation, Private Equity, Financial Analysis, Financial Modeling, Capital Markets, Corporate Finance, Market Data, Cash Flows, Business Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      251 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Data Ethics, Computer Vision, Deep Learning, Applied Machine Learning, Machine Learning, Unsupervised Learning, Information Privacy, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      544 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      商务基础 (中文版)

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Process Analysis, Financial Accounting, Business Operations, Operational Efficiency, Financial Reporting, Income Statement, Capital Budgeting, Business Process, Marketing, Finance, Financial Modeling, Strategic Marketing, Marketing Strategies, Brand Management, Business Planning, Business Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      339 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      523 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Искусственный Интеллект (ИИ) для всех

      Skills you'll gain: Market Opportunities, Technical Management, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Artificial Intelligence, Data Science, Artificial Neural Networks, Machine Learning, Strategic Thinking, Discussion Facilitation, Business Ethics, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      216 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science in Real Life

      Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, A/B Testing, Statistical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Technical Design, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      818 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Entrepreneurship 4: Financing and Profitability

      Skills you'll gain: Entrepreneurial Finance, Business Valuation, Entrepreneurship, Private Equity, Business Modeling, Financial Modeling, Finance, Sales Presentations, Investments, Financial Analysis, Mergers & Acquisitions, Fundraising and Crowdsourcing, Presentations, Business Development, Business Strategies, Cash Flows, Customer Retention, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      931 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University at Buffalo

      Data-Driven Decision Making (DDDM)

      Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Literacy, Process Mapping, Data Ethics, Data-Driven Decision-Making, Data Collection, Data Visualization Software, Business Process Improvement, Business Analytics, Analytics, Data Analysis, Root Cause Analysis, Data Strategy, Minitab, Lean Methodologies, Six Sigma Methodology, Process Analysis, Data Cleansing, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      439 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Feature Engineering, Continuous Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

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    1…293031…150

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

    • Finance of Mergers and Acquisitions: Valuation and Pricing: University of Illinois Urbana-Champaign
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • 商务基础 (中文版): University of Pennsylvania
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • AI For Medical Treatment: DeepLearning.AI
    • Искусственный Интеллект (ИИ) для всех: DeepLearning.AI
    • Data Science in Real Life: Johns Hopkins University
    • Recommender Systems: University of Minnesota
    • Entrepreneurship 4: Financing and Profitability: University of Pennsylvania
    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan 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)

    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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