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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
      Free
      U

      University of Colorado Boulder

      컴퓨터 비전 분야에서의 딥 러닝 응용 사례

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Verbal Reasoning for Entrance Exams & Career Success

      Skills you'll gain: Vocabulary, Grammar, Critical Thinking, Language Competency, Problem Solving, Deductive Reasoning, English Language, Literacy, Analytical Skills, Verbal Communication Skills, Learning Strategies, Complex Problem Solving, Communication Strategies, Time Management, Decision Making

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Skills you'll gain: Spatial Data Analysis, Geospatial Information and Technology, Geographic Information Systems, Spatial Analysis, GIS Software, Data Analysis Software, R Programming, Environmental Monitoring, Image Analysis, Open Source Technology, Data Processing, Data Manipulation, Data Transformation, Unsupervised Learning, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Диверсификация портфеля с помощью корреляционной матрицы

      Skills you'll gain: Correlation Analysis, Portfolio Management, Investments, Financial Analysis, Asset Management, Financial Market, Risk Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Job Shop Scheduling Using MILP Optimization on RStudio

      Skills you'll gain: R Programming, Analysis, Mathematical Software

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      J

      Johns Hopkins University

      Der Werkzeugkasten des Data Scientist

      Skills you'll gain: Rmarkdown, Data Science, Version Control, Big Data, R Programming, Software Development Tools, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Integrated Development Environments, Technical Communication, Software Installation

      Mixed · Course · 1 - 4 Weeks

    • C

      Corporate Finance Institute

      Data Prep for Machine Learning in Python

      Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Pandas (Python Package), Data Analysis, Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis, Correlation Analysis

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Mastering Neural Networks and Model Regularization

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Português

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Time Series Forecasting with Facebook Prophet in Python

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Anomaly Detection, Predictive Modeling, Python Programming, Predictive Analytics, Exploratory Data Analysis, Statistical Analysis, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Machine Learning and Emerging Technologies in Cybersecurity

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Incident Response, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Unsupervised Learning, Supervised Learning, Deep Learning, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Untersuchen und Erstellen von Daten für Unternehmen

      Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing

      Beginner · Course · 1 - 3 Months

    Statistical Inference learners also search

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    1…137138139…149

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

    • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
    • Verbal Reasoning for Entrance Exams & Career Success: Board Infinity
    • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
    • Диверсификация портфеля с помощью корреляционной матрицы: Coursera Project Network
    • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera Project Network
    • Der Werkzeugkasten des Data Scientist: Johns Hopkins University
    • Data Prep for Machine Learning in Python: Corporate Finance Institute
    • Mastering Neural Networks and Model Regularization: Johns Hopkins University
    • Introduction to AI and Machine Learning on GC - Português: Google Cloud
    • Time Series Forecasting with Facebook Prophet in Python: Packt

    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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