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    • Statistics

    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free Trial
      Free Trial
      P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Predictive Modeling, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Programming Principles, Classification And Regression Tree (CART), Regression Analysis, Data Manipulation, Tensorflow

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Neural Networks

      Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Fundamentos de Inteligência Artifical em Marketing

      Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Data Exploration in Psychology

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Data Visualization, Statistical Analysis, Statistical Methods, Plot (Graphics), Descriptive Statistics, Histogram, Data Analysis, Box Plots, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Probability & Statistics, Quantitative Research, Statistical Visualization, Statistics, Data Literacy

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Fundamentals of entrepreneurship in the family business

      Skills you'll gain: Value Propositions, Entrepreneurship, Ideation, Business Modeling, Sales Presentations, Innovation, New Business Development, Business Planning, Presentations, Business Strategies, Market Research, Trend Analysis

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Audience Demographics with Facebook Audience Insights

      Skills you'll gain: Content Performance Analysis, Target Audience, Facebook, Web Analytics, Social Media Marketing, Customer Insights, Social Media, Social Media Management, Advertising Campaigns, Advertising, Marketing, Performance Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Clustering and Classification with Machine Learning in R

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

      Beginner · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Análise de Segmentação de Mercado

      Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Statistical Analysis, Marketing, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Business Strategy, Consumer Behaviour

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Data Scientists

      Skills you'll gain: Generative AI, Data Ethics, Data Quality, Prompt Engineering, Data Science, Data-Driven Decision-Making, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Deep Learning, Analysis, Machine Learning Methods

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Creating a Data Warehouse Through Joins and Unions

      Skills you'll gain: Data Warehousing, Data Integration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Preparing and Aggregating Data for Visualizations using Cloud Dataprep

      Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Data Import/Export, Data Transformation, Data Cleansing, Extract, Transform, Load, Sampling (Statistics)

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Analysis and Interpretation of Large-Scale Programs

      Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Maternal Health, Data Quality, Research Design

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    1…868788…106

    In summary, here are 10 of our most popular statistics courses

    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Introduction to Neural Networks: Johns Hopkins University
    • Fundamentos de Inteligência Artifical em Marketing: Fundação Instituto de Administração
    • Data Exploration in Psychology: American Psychological Association
    • Fundamentals of entrepreneurship in the family business: Tecnológico de Monterrey
    • Audience Demographics with Facebook Audience Insights : Coursera Project Network
    • Clustering and Classification with Machine Learning in R: Packt
    • Análise de Segmentação de Mercado: Fundação Instituto de Administração
    • GenAI for Data Scientists: Coursera Instructor Network
    • Creating a Data Warehouse Through Joins and Unions: Google Cloud

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    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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