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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: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Transforming Exploratory Data Analysis with AI

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Data-Driven Decision-Making, Analytical Skills, Artificial Intelligence, Data Analysis, Prompt Engineering, Pandas (Python Package), Automation, Data Visualization Software, Descriptive Statistics

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      توقع حضور المواعيد الطبية باستخدام Python

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Jupyter, Machine Learning, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      UBITS

      Mejora la estructura financiera de tu empresa

      Skills you'll gain: Strategic Decision-Making, Corporate Finance, Working Capital, Financial Analysis, Financial Planning, Financial Management, Financial Modeling, Cash Management, Growth Strategies, Capital Markets, Resource Allocation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Introduction to Continuous Improvement Process

      Skills you'll gain: Statistical Process Controls, ISO 9000 Series, Product Quality (QA/QC), Quality Management Systems, Quality Management, Quality Improvement, Customer experience improvement, Continuous Improvement Process, Process Improvement, Kaizen Methodology, Customer Insights, Data-Driven Decision-Making

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Data Visualization Software, Data Manipulation, Python Programming, Scatter Plots, Data Science, Machine Learning, Probability & Statistics, Numerical Analysis, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - Português Brasileiro

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Practical Engineering Data Mining: Techniques and Uses

      Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Français

      Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Deep Learning, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Investing and Building Wealth

      Skills you'll gain: Wealth Management, Portfolio Management, Investments, Securities (Finance), Financial Planning, Investment Management, Finance, Equities, Risk Management, Asset Management, Business Risk Management, Financial Market, Financial Modeling, Return On Investment, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: Data Governance, MLOps (Machine Learning Operations), Data Management, Forecasting, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Data Processing, Machine Learning, Artificial Neural Networks, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - 繁體中文

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Natural Language Processing, Deep Learning, Text Mining, Machine Learning

      Advanced · Course · 1 - 4 Weeks

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

    • Transforming Exploratory Data Analysis with AI: Coursera Instructor Network
    • توقع حضور المواعيد الطبية باستخدام Python: Coursera Project Network
    • Mejora la estructura financiera de tu empresa: UBITS
    • Introduction to Continuous Improvement Process: Board Infinity
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Encoder-Decoder Architecture - Português Brasileiro: Google Cloud
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
    • Production Machine Learning Systems - Français: Google Cloud
    • DataPrep for H2O Driverless AI: H2O.ai
    • Investing and Building Wealth: University of Illinois Urbana-Champaign

    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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