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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

    • U

      University of Colorado Boulder

      Advanced Business Analytics Capstone

      Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Predictive Modeling, Business Analytics, Analytics, Financial Analysis, Advanced Analytics, Data Analysis, Technical Communication, Data Processing, Data Manipulation, Statistical Modeling, Regression Analysis, Business Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Data Warehousing and Business Intelligence

      Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Data Mart, Data Architecture, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Machine Learning Methods, Databases, Statistical Methods, Data Science, Predictive Modeling, Big Data, Cloud Computing, Market Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      120 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Wrangling with Python

      Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, NumPy, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, User Feedback, Performance Analysis, Project Performance, Business Metrics, Natural Language Processing, Project Implementation, Time Series Analysis and Forecasting, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      BigQuery Soccer Data Analysis

      Skills you'll gain: Databases, Big Data, SQL, Data Analysis, Data Science

      3.1
      Rating, 3.1 out of 5 stars
      ·
      9 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Deep Learning Methods for Healthcare

      Skills you'll gain: Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Computer Vision, Health Informatics, Machine Learning, Feature Engineering, Medical Imaging, Jupyter, Python Programming, Dimensionality Reduction

      3.8
      Rating, 3.8 out of 5 stars
      ·
      13 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP 日本語版

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Data Pipelines, Big Data, SQL, Predictive Modeling, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Evaluating Public Health Programs at Scale

      Skills you'll gain: Program Evaluation, Health Equity, Data Collection, Training Programs, Public Health, Research Design, Policy Analysis, Healthcare Ethics, Public Health and Disease Prevention, Surveys, Child Health, Maternal Health, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • M

      MongoDB Inc.

      MongoDB Aggregation Framework

      Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, Data Processing, Data Integration, NoSQL, Data Migration, Database Systems, Data Analysis, Query Languages, Unstructured Data, Data Structures, Network Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Mining Pipeline

      Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Modeling, Data Cleansing, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Quality, Statistical Modeling, Data Visualization

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      86 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Michigan

      ChatGPT Teach-Out

      Skills you'll gain: ChatGPT, Large Language Modeling, Natural Language Processing, Data Ethics, Generative AI, Artificial Intelligence, Law, Regulation, and Compliance, Machine Learning, Economics, Social Sciences, Information Privacy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 4 Weeks

    Statistical Inference learners also search

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    1…838485…149

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

    • Advanced Business Analytics Capstone: University of Colorado Boulder
    • Data Warehousing and Business Intelligence: University of California, Irvine
    • Data Wrangling with Python: University of Colorado Boulder
    • AI Workflow: AI in Production: IBM
    • BigQuery Soccer Data Analysis : Google Cloud
    • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
    • Evaluating Public Health Programs at Scale: Johns Hopkins University
    • MongoDB Aggregation Framework: MongoDB Inc.

    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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