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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

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      أساسيات تحليل البيانات باستخدام جداول بيانات جوجل

      Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Spreadsheet Software, Graphing, Statistics, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Grant Writing for Health Researchers

      Skills you'll gain: Concision, Grant Writing, Sample Size Determination, Proposal Writing, Biostatistics, Proposal Development, Writing, Editing, Statistical Analysis, Data Analysis, Clinical Research, Statistical Methods, Medical Science and Research, Literacy, Science and Research, Research Design, Research, Statistical Hypothesis Testing, Communication, Organizational Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

      Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Data Visualization, Statistical Programming, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Automation, Python Programming, Programming Principles, Scripting, Debugging

      Intermediate · Specialization · 3 - 6 Months

    • P

      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

    • U

      University of Colorado Boulder

      Fundamentals of Macroscopic and Microscopic Thermodynamics

      Skills you'll gain: Statistical Methods, Physics, Probability Distribution, Physical Science, Chemistry, Engineering Calculations, Calculus

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Meta Marketing Science Certification Exam

      Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      208 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      KI für alle

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Data Ethics, Data Science, Business Analytics, Artificial Neural Networks, Machine Learning, Cross-Functional Collaboration, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    Statistical Inference learners also search

    Statistical Modeling
    Statistical Analysis
    Causal Inference
    Data Modeling
    Predictive Analytics
    Predictive Modeling
    Advanced R Programming
    Beginner Predictive Analytics
    1…596061…149

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

    • Predictive Modeling and Machine Learning with MATLAB: MathWorks
    • أساسيات تحليل البيانات باستخدام جداول بيانات جوجل : Coursera Project Network
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Machine Learning Using SAS Viya: SAS
    • Grant Writing for Health Researchers: University of Colorado System
    • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Fundamentals of Macroscopic and Microscopic Thermodynamics: University of Colorado Boulder
    • Data Science with R - Capstone Project: IBM
    • Meta Marketing Science Certification Exam: Meta

    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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