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    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
      C

      Corporate Finance Institute

      Python Fundamentals

      Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau - Table Calculations

      Skills you'll gain: Tableau Software, Data Presentation, Data Storytelling, Data Visualization Software, Dashboard, Key Performance Indicators (KPIs), Trend Analysis, Data Analysis, Business Metrics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Corporate Foresight

      Skills you'll gain: Innovation, Forecasting, Strategic Thinking, Corporate Strategy, Strategic Decision-Making, Business Strategy, Organizational Strategy, Trend Analysis, Analysis, Market Opportunities, Organizational Change, Decision Making, Market Dynamics, Business Research

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Fundamentos del emprendimiento en la empresa familiar

      Skills you'll gain: Value Propositions, Market Opportunities, Entrepreneurship, New Product Development, Business Modeling, Innovation, Business Development, Business Strategy, Business Transformation, Presentations, Succession Planning, Trend Analysis, Leadership

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      108 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Classification - Fundamentals & Practical Applications

      Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Presentation, Data Analysis, Web Scraping, Data Storytelling, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau - LOD Calculations

      Skills you'll gain: Dashboard, Tableau Software, Data Visualization Software, Exploratory Data Analysis, Business Intelligence, SQL, Data Analysis, Data Manipulation

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Increase SEO Traffic with WordPress

      Skills you'll gain: WordPress, Search Engine Optimization, Blogs, Web Analytics, Web Content, Keyword Research, Information Architecture, Content Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      781 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      136 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Columbia University

      Causal Inference 2

      Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

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

    • Python Fundamentals: Corporate Finance Institute
    • Advanced Tableau - Table Calculations: Corporate Finance Institute
    • Corporate Foresight: Fundação Instituto de Administração
    • Fundamentos del emprendimiento en la empresa familiar: Tecnológico de Monterrey
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Classification - Fundamentals & Practical Applications: Corporate Finance Institute
    • IBM Data Analyst Capstone Project: IBM
    • Advanced Tableau - LOD Calculations: Corporate Finance Institute
    • Increase SEO Traffic with WordPress: Coursera Project Network

    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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