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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

    • P

      Packt

      How to Visualize Data with R

      Skills you'll gain: Data Visualization Software, Ggplot2, Statistical Visualization, R Programming, Scatter Plots, Regression Analysis, Data Manipulation, Statistical Modeling, Data Analysis, Data Import/Export, Exploratory Data Analysis, Development Environment, Data Structures, Software Installation

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Data Science, Classification And Regression Tree (CART), Ggplot2, Random Forest Algorithm, Exploratory Data Analysis, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Large-Scale Database Systems

      Skills you'll gain: Data Warehousing, Apache Hadoop, Distributed Computing, Scalability, Transaction Processing, Database Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Cloud Computing, Query Languages, Big Data, Data Processing, Machine Learning, SQL, Data Access, Performance Tuning, Data Integrity, Authorization (Computing)

      Intermediate · Specialization · 1 - 3 Months

    • C

      Corporate Finance Institute

      Regression Analysis - Fundamentals & Practical Applications

      Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Supervised Learning, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of California, Irvine

      데이터 스토리텔링

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Data Analysis, Advanced Analytics

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Art and Science of Machine Learning en Français

      Skills you'll gain: Tensorflow, Performance Tuning, Machine Learning Algorithms, Artificial Neural Networks, Applied Machine Learning, Dimensionality Reduction, Machine Learning, Google Cloud Platform

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Social Computing

      Skills you'll gain: Data Ethics, Behavioral Economics, Analytics, Network Analysis, Game Design, Social Sciences, Sociology, Artificial Intelligence, Systems Thinking, Research, Usability, Data Collection, Machine Learning, Psychology

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch

      Skills you'll gain: Tensorflow, Applied Machine Learning, Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Scalability, Data Processing, Machine Learning, Deep Learning, Serverless Computing

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Structurer des projets d’apprentissage automatique

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Data Science, Test Case, Exploratory Data Analysis, Analysis, Algorithms, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Machine Learning for Marketers

      Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Pesquisa de Mercado com Métodos Quantitativos

      Skills you'll gain: Quantitative Research, Survey Creation, Sampling (Statistics), Data Collection, Market Research, Data Analysis, Research Methodologies, Statistical Analysis, Data Quality

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx Advanced

      Skills you'll gain: Alteryx, Data Cleansing, Data Manipulation, Data Wrangling, Data Processing, Data Transformation, Advanced Analytics, Predictive Modeling, Applied Machine Learning, Data Integration, Analytics, Extract, Transform, Load, Database Management, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Pipelines, Business Process Automation, Workflow Management

      Intermediate · Course · 1 - 3 Months

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    1…126127128…149

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

    • How to Visualize Data with R: Packt
    • Clustering and Classification with Machine Learning in R: Packt
    • Large-Scale Database Systems: Johns Hopkins University
    • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
    • 데이터 스토리텔링: University of California, Irvine
    • Art and Science of Machine Learning en Français: Google Cloud
    • Introduction to Social Computing: Johns Hopkins University
    • Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch: Google Cloud
    • Structurer des projets d’apprentissage automatique: DeepLearning.AI
    • Machine Learning for Marketers: University of Colorado System

    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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