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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

    • M

      Microsoft

      Intro to Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Azure Active Directory, Machine Learning, Generative AI, Predictive Modeling, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      هيكلة مشاريع التعلم الآلي

      Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Performance Tuning, Test Data

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Machine Learning in Retail

      Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Pandas (Python Package), Jupyter, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Joining Data in R using dplyr

      Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Conducting Exploratory Data Analysis

      Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Codio

      Visualizing Data & Communicating Results in R with RStudio

      Skills you'll gain: Rmarkdown, Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, R Programming

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Feature Engineering 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Dataflow, Data Transformation, Data Processing, Keras (Neural Network Library), Data Modeling, Machine Learning, Google Cloud Platform, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Glasgow

      Clinical Decision Support Systems - CDSS 4

      Skills you'll gain: Data Ethics, Healthcare Ethics, Machine Learning, Deep Learning, Information Privacy, Data Validation, Decision Support Systems, Health Informatics, Predictive Modeling, Verification And Validation, Artificial Intelligence and Machine Learning (AI/ML), Data Governance, Human Centered Design

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Artificial Intelligence in Social Media Analytics

      Skills you'll gain: Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Semantic Web, Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      W

      Whizlabs

      Exam Prep AIF-C01: AWS Certified AI Practitioner

      Skills you'll gain: Prompt Engineering, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Amazon Web Services, Large Language Modeling, AWS Identity and Access Management (IAM), Machine Learning, Cloud Security, Amazon CloudWatch, Amazon S3, Deep Learning, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      BiteSize Python for Intermediate Learners

      Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Data Structures, Maintainability, Programming Principles, Software Design, Data Import/Export, Data Manipulation, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Planning a Machine Learning Project

      Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Intro to Artificial Intelligence on Microsoft Azure: Microsoft
    • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
    • Machine Learning in Retail: Coursera Project Network
    • Joining Data in R using dplyr: Coursera Project Network
    • Conducting Exploratory Data Analysis: Coursera Project Network
    • Visualizing Data & Communicating Results in R with RStudio: Codio
    • Feature Engineering 日本語版: Google Cloud
    • Clinical Decision Support Systems - CDSS 4: University of Glasgow
    • Artificial Intelligence in Social Media Analytics: Johns Hopkins University
    • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs

    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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