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    Results for "statistical inference"

    • Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Data-Driven Decision-Making, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • MathWorks

      Exploratory Data Analysis with MATLAB

      Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      813 reviews

      Beginner · Course · 1 - 3 Months

    • Universidad Nacional Autónoma de México

      Valuación de empresas

      Skills you'll gain: Business Valuation, Mergers & Acquisitions, Financial Modeling, Cash Flows, Business Modeling, Financial Analysis, Financial Statement Analysis, Investment Banking, Financial Forecasting, Financial Statements, Business Metrics, Operational Analysis, Operational Efficiency

      4.7
      Rating, 4.7 out of 5 stars
      ·
      354 reviews

      Intermediate · Course · 1 - 3 Months

    • University of California, Irvine

      The Nature of Data and Relational Database Design

      Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    • Meta

      Introduction to Data Management

      Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      91 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

    • 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
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • Yonsei University

      Big Data Emerging Technologies

      Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Scalability, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      299 reviews

      Beginner · Course · 1 - 3 Months

    • Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Tableau Learning Partner

      Advanced Data Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Data Presentation, Stakeholder Communications, Geospatial Mapping, Business Reporting, Business Analytics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      90 reviews

      Beginner · Course · 1 - 4 Weeks

    • Coursera Project Network

      Getting Started with Rstudio

      Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      141 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • University of California San Diego

      Molecular Evolution (Bioinformatics IV)

      Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory, Taxonomy, Tree Maps, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      79 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to statistical inference

    improving your statistical inferences
    data science foundations: statistical inference
    statistical inference for estimation in data science
    statistical inference and hypothesis testing in data science applications
    1…575859…150

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

    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • Exploratory Data Analysis with MATLAB: MathWorks
    • Valuación de empresas : Universidad Nacional Autónoma de México
    • The Nature of Data and Relational Database Design: University of California, Irvine
    • Introduction to Data Management: Meta
    • Operations Research (3): Theory: National Taiwan University
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • Big Data Emerging Technologies: Yonsei University
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Advanced Data Visualization with Tableau: Tableau Learning Partner

    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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