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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

    • G

      Google Cloud

      Feature Engineering em Português Brasileiro

      Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Data Transformation, Data Pipelines, Keras (Neural Network Library), Data Modeling, Machine Learning, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      머신 러닝 프로젝트 구조화

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Technical Management, Machine Learning, Applied Machine Learning, Deep Learning, Debugging, Analysis, Performance Testing

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Bases y primeros pasos en R

      Skills you'll gain: Data Import/Export, Scripting, R Programming, Data Processing, Statistical Programming, Data Structures

      Beginner · Guided Project · Less Than 2 Hours

    • H

      Howard University

      Capstone: Data Science Problem in Linear Algebra Framework

      Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Create a quiz using Microsoft Forms

      Skills you'll gain: Content Performance Analysis, Employee Surveys, Dashboard, Data Analysis Software, Microsoft 365, User Accounts, Education Software and Technology

      Beginner · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Структурирование проектов по машинному обучению

      Skills you'll gain: Debugging, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Machine Learning Methods, Machine Learning, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Mercadeo analítico

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Return On Investment, Statistical Analysis, A/B Testing

      Beginner · Course · 1 - 3 Months

    • S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Using BigQuery Machine Learning for inference

      Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Particle Filters (and Navigation)

      Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Algorithms, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

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    1…117118119…149

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

    • Feature Engineering em Português Brasileiro: Google Cloud
    • 머신 러닝 프로젝트 구조화: DeepLearning.AI
    • Bases y primeros pasos en R: Coursera Project Network
    • Capstone: Data Science Problem in Linear Algebra Framework: Howard University
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Create a quiz using Microsoft Forms: Coursera Project Network
    • Структурирование проектов по машинному обучению: DeepLearning.AI
    • Mercadeo analítico: University of Virginia
    • Recommender Systems: Sungkyunkwan University
    • Using BigQuery Machine Learning for inference: Google Cloud

    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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