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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

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data – What It Is, What We Can Do With It

      Skills you'll gain: Data Visualization, Data Analysis, Research Design, Data Presentation, Descriptive Statistics, Analytics, Statistics, Statistical Analysis, Quantitative Research, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      172 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      User Experience Research and Design

      Skills you'll gain: UI/UX Research, Qualitative Research, User Experience Design, User Experience, Usability Testing, User Research, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, A/B Testing, Usability, Test Case, Design Thinking, Design, Human Computer Interaction, Research Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Introduction to Genetics and Evolution

      Skills you'll gain: Life Sciences, Biostatistics, Bioinformatics, Environment, General Science and Research, Taxonomy, Scientific Methods, Statistical Methods, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Statistical Reporting, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Applied Machine Learning, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Visualization Software, Data Wrangling, Data Processing, Data Collection, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Intermediate · Course · 1 - 3 Months

    • N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Artificial Neural Networks

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • T

      Tableau Learning Partner

      Tableau Business Intelligence Analyst

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Ad Hoc Reporting, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Statistical Visualization, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Data Quality, Data Management, Descriptive Statistics, Interactive Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      936 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Computer Vision, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      774 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Life Sciences, Infectious Diseases, Statistical Analysis, Medical Science and Research, Algorithms, Big Data, Computational Logic, Machine Learning, Machine Learning Methods, Probability & Statistics, Analysis, Taxonomy, Tree Maps

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      From Data to Insights with Google Cloud

      Skills you'll gain: Dashboard, SQL, Data Transformation, Big Data, Google Cloud Platform, Applied Machine Learning, Data Cleansing, Machine Learning, Data Infrastructure, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Analytics, Data Warehousing, Database Architecture and Administration, Data Visualization Software, Predictive Modeling, Performance Tuning, Cloud API, Cloud Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…161718…162

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

    • Introduction to Machine Learning: Duke University
    • Data – What It Is, What We Can Do With It: Johns Hopkins University
    • User Experience Research and Design: University of Michigan
    • Introduction to Genetics and Evolution: Duke University
    • Applied Data Science Capstone: IBM
    • Machine Learning for Trading: New York Institute of Finance
    • Tableau Business Intelligence Analyst: Tableau Learning Partner
    • Understanding and Visualizing Data with Python: University of Michigan
    • AI Product Management: Duke University
    • Bioinformatics: University of California San Diego

    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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