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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: New
      New
      N

      Northeastern University

      NLP in Engineering: Concepts & Real-World Applications

      Skills you'll gain: Natural Language Processing, Data Ethics, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Machine Learning Algorithms

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      AI Innovation in Healthcare

      Skills you'll gain: Generative AI, Large Language Modeling, Supervised Learning, Applied Machine Learning, Artificial Intelligence, Machine Learning, Healthcare Industry Knowledge, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Ethics, Data Ethics, AI Personalization, Predictive Analytics, Precision Medicine, Health Informatics, Health Technology, Data Collection

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      L

      L&T EduTech

      Solar Power Generation

      Skills you'll gain: Electric Power Systems, Simulation and Simulation Software, Energy and Utilities, Electrical Systems, Power Electronics, Semiconductors, Scalability, Electrical Equipment, Emerging Technologies, Technology Solutions, Innovation, Cost Estimation, Environment, Matlab

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Specialized Data Visualization Approaches

      Skills you'll gain: Scientific Visualization, Data Visualization Software, Visualization (Computer Graphics), Statistical Visualization, Interactive Data Visualization, Computer Displays, Data Literacy, Data Presentation, Time Series Analysis and Forecasting, Scalability, Data Validation, Computer Graphics, 3D Modeling, Medical Imaging

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      No-Code Machine Learning Using Amazon AWS SageMaker Canvas

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Data Processing, Version Control, Amazon S3, Data Validation, Cloud Services

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Introduction to FinTech Using R

      Skills you'll gain: Shiny (R Package), FinTech, Data-Driven Decision-Making, R Programming, Financial Market, Budget Management, Web Applications, Financial Forecasting, Real Time Data, Asset Management, Financial Analysis, Quantitative Research, Portfolio Management, Time Series Analysis and Forecasting, Applied Machine Learning, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Crie seu primeiro funil de conversão e CRM com Hubspot

      Skills you'll gain: HubSpot CRM, Customer Relationship Management (CRM) Software, Sales Process, Sales Pipelines, Customer Relationship Management, Closing (Sales), Sales Strategy, Organizational Skills, Relationship Management

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Automate R scripts with GitHub Actions: Deploy a model

      Skills you'll gain: R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Command-Line Interface, Version Control

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 日本語版

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

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 简体中文

      Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Cloud Infrastructure, Machine Learning, 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
      D

      Dartmouth College

      Data Analytics for Digital Transformation

      Skills you'll gain: Digital Transformation, Business Ethics, Customer experience improvement, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Business Modeling, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning, Statistical Machine Learning

      Intermediate · Specialization · 3 - 6 Months

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

    • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
    • AI Innovation in Healthcare: Northeastern University
    • Solar Power Generation: L&T EduTech
    • Specialized Data Visualization Approaches: Johns Hopkins University
    • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
    • Introduction to FinTech Using R: Packt
    • Crie seu primeiro funil de conversão e CRM com Hubspot: Coursera Project Network
    • Automate R scripts with GitHub Actions: Deploy a model: Coursera Project Network
    • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
    • Introduction to AI and Machine Learning on GC - 简体中文: 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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