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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
      U

      Universidad de los Andes

      Algoritmos de negociación basados en machine learning​

      Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Securities Trading, Applied Machine Learning, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning Algorithms, Machine Learning, Trend Analysis, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Business Problem Solving

      Skills you'll gain: Regression Analysis, Correlation Analysis, Spreadsheet Software, Business Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Data Modeling, Microsoft Excel, Statistical Analysis, Analysis, Financial Modeling, Forecasting, Risk Analysis, Data Analysis, Product Assortment, Complex Problem Solving, Predictive Modeling, Investment Management, Process Optimization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Data Science at Scale - Capstone Project

      Skills you'll gain: Feature Engineering, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling, Statistical Modeling, Data Science, Data Collection, Applied Machine Learning, Research, Supervised Learning, Data Validation, Technical Communication

      3.8
      Rating, 3.8 out of 5 stars
      ·
      25 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau

      Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Integration, Market Analysis, Data Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Tensorflow, Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Applied Machine Learning, Data Quality, Data Cleansing, Data Strategy, Supervised Learning, Machine Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Dataflow, Deep Learning, Machine Learning Algorithms, Data Processing, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Data Science & Machine Learning Fundamentals

      Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems Capstone

      Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, Technical Design, System Design and Implementation, Solution Design, Statistical Reporting, Machine Learning Algorithms, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      29 reviews

      Mixed · Course · 1 - 4 Weeks

    • B

      Ball State University

      Introduction to Data Science

      Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Data Visualization Software, R Programming, Data Science, Sampling (Statistics), Probability, Simulations, Data Wrangling, Analytical Skills, Data Analysis, Mathematical Theory & Analysis, General Mathematics, Statistical Analysis, Information Privacy, Regression Analysis, Arithmetic, Data Structures

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started with Facebook Pixel

      Skills you'll gain: Target Audience, Social Media Marketing, Social Media Campaigns, Online Advertising, Social Media, Web Analytics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Time Series Mastery: Forecasting with ETS, ARIMA, Python

      Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Predictive Analytics, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

      3.9
      Rating, 3.9 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Linear Regression

      Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…697071…106

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

    • Algoritmos de negociación basados en machine learning​: Universidad de los Andes
    • Business Problem Solving: Howard University
    • Data Science at Scale - Capstone Project: University of Washington
    • Advanced Tableau: Corporate Finance Institute
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
    • Recommender Systems Capstone: University of Minnesota
    • Introduction to Data Science: Ball State University
    • Getting Started with Facebook Pixel: Coursera Project Network
    • Time Series Mastery: Forecasting with ETS, ARIMA, Python: Coursera Instructor 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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