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    Results for "statistical inference"

    • Johns Hopkins University

      Evaluating Large-Scale Health Programs

      Skills you'll gain: Surveys, Program Evaluation, Survey Creation, Health Policy, Sampling (Statistics), Health Systems, Health Assessment, Systems Thinking, Health Equity, Data Collection, Quantitative Research, Training Programs, Data Analysis, Maternal Health, Data Management, Statistical Analysis, Analysis, Nutrition and Diet, Public Health, Research Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      64 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Universidad Nacional Autónoma de México

      Administración financiera y su función en la empresa

      Skills you'll gain: Financial Statement Analysis, Financial Management, Corporate Finance, Performance Measurement, Capital Budgeting, Financial Analysis, Budgeting, Financial Modeling, Business Management, Stakeholder Management, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • SAS

      Structured Query Language (SQL) using SAS

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Integration, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      282 reviews

      Mixed · Course · 1 - 3 Months

    • LearnQuest

      Key Technologies in Data Analytics

      Skills you'll gain: Data Warehousing, Data Visualization, Data Analysis, Cloud Computing, Data Architecture, Big Data, Cloud Services, Analytics, Data Storage, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Data Processing, Extract, Transform, Load, Cloud Platforms, Statistical Analysis, Data Integration, Data Mining, Spreadsheet Software

      3.7
      Rating, 3.7 out of 5 stars
      ·
      143 reviews

      Beginner · Specialization · 3 - 6 Months

    • Intel

      Intel® AI Fundamentals

      Skills you'll gain: Artificial Intelligence, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Strategic Thinking, Real Time Data, Solution Sales Engineering, Technology Solutions, Generative AI, Emerging Technologies, Automation, Customer Success Management, Deep Learning, Machine Learning, Hardware Architecture, Computer Hardware, Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      69 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Caltech

      Pricing Options with Mathematical Models

      Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • Packt

      Six Sigma White Belt

      Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Quality Improvement, Process Improvement, Quality Management, Pareto Chart, Kaizen Methodology, Statistical Process Controls, Lean Methodologies, Quality Monitoring, Lean Manufacturing, Data Visualization, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Amazon Web Services

      Fundamentals of Generative AI for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Neural Networks, Software Development Tools, Test Data, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Illinois Tech

      Introduction to Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Reporting, Forecasting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Software, Statistical Methods, Regression Analysis, Exploratory Data Analysis, Statistical Hypothesis Testing, Data Manipulation

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Cleansing, Quality Assurance, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to statistical inference

    statistical inference and hypothesis testing in data science applications
    statistical inference for estimation in data science
    improving your statistical inferences
    data science foundations: statistical inference
    inferential statistical analysis with python
    inferential statistics
    basic inferential statistics for psychology
    inferential and predictive statistics for business
    1…525354…150

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

    • Evaluating Large-Scale Health Programs: Johns Hopkins University
    • Administración financiera y su función en la empresa : Universidad Nacional Autónoma de México
    • Structured Query Language (SQL) using SAS : SAS
    • Key Technologies in Data Analytics: LearnQuest
    • Intel® AI Fundamentals: Intel
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Machine Learning with Apache Spark: IBM
    • Pricing Options with Mathematical Models: Caltech
    • Six Sigma White Belt: Packt
    • Fundamentals of Generative AI for Beginners: Amazon Web Services

    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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