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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
      U

      University of Pennsylvania

      The Business of Health Care

      Skills you'll gain: People Management, Financial Reporting, Financial Acumen, Financial Data, Financial Statements, Social Determinants Of Health, Managed Care, Operations Management, Income Statement, Employee Performance Management, Financial Analysis, Leadership and Management, Health Systems, Health Care Administration, Innovation, Organizational Effectiveness, Value-Based Care, Decision Making, Health Care Procedure and Regulation, Insurance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      E

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability, Linear Algebra, Peer Review

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Quantitative Finance with SAS: Apply, Analyze & Evaluate

      Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Financial Data, Risk Modeling, Regression Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis, Forecasting

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Informed Consent, Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Responsible AI, Intellectual Property, Data Analysis, Social Studies, Sampling (Statistics)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

      Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 3

      Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Mastering Data Analysis in Excel

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Data-Driven Decision-Making, Business Analytics, Data Analysis, Business Risk Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 1

      Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 2

      Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Seaborn Python: Visualize & Analyze Data Distributions

      Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 1

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Birla Institute of Technology & Science, Pilani

      Discrete Mathematics for Computer Science and Engineering

      Skills you'll gain: Theoretical Computer Science, Programming Principles, Cryptography, Algorithms, Applied Mathematics, Probability & Statistics, Data Management

      Beginner · Course · 1 - 3 Months

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    1…161718…116

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

    • The Business of Health Care: University of Pennsylvania
    • Econometrics: Methods and Applications: Erasmus University Rotterdam
    • Quantitative Finance with SAS: Apply, Analyze & Evaluate: EDUCBA
    • Data Science Ethics: University of Michigan
    • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
    • Data Science Fundamentals Part 2: Unit 3: Pearson
    • Mastering Data Analysis in Excel: Duke University
    • Data Science Fundamentals, Part 1: Pearson
    • Data Science Fundamentals Part 2: Unit 2: Pearson
    • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA

    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.

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