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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 Trial
      Free Trial
      E

      EDUCBA

      SIEM Splunk Hands-On Guide

      Skills you'll gain: Splunk, Security Information and Event Management (SIEM), Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Dashboard, Incident Response, Threat Detection, User Accounts, Data Transformation, Cybersecurity, Machine Learning, Performance Tuning, Data Visualization, Event Monitoring, Data Manipulation, Data Analysis, Identity and Access Management, Statistical Analysis, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      292 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, Statistical Visualization, Technical Communication, Cybersecurity, Usability, Healthcare Ethics, Statistical Reporting, Human Computer Interaction, Authentications, Data Storytelling, Data Science, Data Encryption Standard, Computer Security Awareness Training, Ethical Standards And Conduct

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      111 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Basic Statistics in Python (Correlations and T-tests)

      Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      884 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      386 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Meaningful Marketing Insights

      Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Market Risk Management: Frameworks & Strategies

      Skills you'll gain: Risk Management, Risk Modeling, Financial Market, Derivatives, Investment Management, Portfolio Management, Risk Analysis, Market Data, Equities, Asset Management, Capital Markets, Estimation, Financial Modeling, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      167 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Cape Town

      Fintech Startups in Emerging Markets

      Skills you'll gain: Design Thinking, Entrepreneurship, Business Modeling, Blockchain, Cryptography, Financial Regulations, FinTech, Regulation and Legal Compliance, Financial Regulation, Emerging Technologies, Video Production, Innovation, Business Planning, Business Strategies, Market Opportunities, Ledgers (Accounting), Data Encryption Standard, Banking, Machine Learning, New Business Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      235 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Bioconductor for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      405 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Statistical Inference learners also search

    Statistical Modeling
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    Predictive Analytics
    Predictive Modeling
    Advanced R Programming
    Beginner Predictive Analytics
    1…414243…151

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

    • SIEM Splunk Hands-On Guide: EDUCBA
    • Vital Skills for Data Science: University of Colorado Boulder
    • Basic Statistics in Python (Correlations and T-tests): Coursera Project Network
    • Getting Started with SAS Visual Analytics : SAS
    • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
    • Meaningful Marketing Insights: Emory University
    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Market Risk Management: Frameworks & Strategies: New York Institute of Finance
    • Fintech Startups in Emerging Markets: University of Cape Town
    • Bioconductor for Genomic Data Science: Johns Hopkins University

    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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