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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: Preview
      Preview
      T

      The Pennsylvania State University

      Geodesign: Change Your World

      Skills you'll gain: Geographic Information Systems, Systems Thinking, Design Thinking, Geospatial Information and Technology, Spatial Analysis, Community Development, Collaborative Software, Environment and Resource Management, Decision Support Systems, Creativity, Cultural Responsiveness

      4.6
      Rating, 4.6 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Perform basic data analysis tasks using Java streams

      Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Manipulation, Java Programming, Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Digital Marketing

      Skills you'll gain: Digital Marketing, Digital Media Strategy, Digital Advertising, Online Advertising, Marketing Effectiveness, Customer Analysis, Web Analytics, Business Metrics, Data-Driven Decision-Making, Content Marketing, Persona Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      PowerBI for Beginners: Sales Data Exploration

      Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Business Analytics, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Build a Budget and Analyze Variance using Google Sheets

      Skills you'll gain: Google Sheets, Variance Analysis, Trend Analysis, Budget Management, Budgeting, Spreadsheet Software, Presentations, Financial Statements, Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      79 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Análisis exploratorio de datos con Python y Pandas

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Tesla Stock Price Prediction using Facebook Prophet

      Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Google Sheets, Interactive Data Visualization, Machine Learning, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      140 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Business Analytics using Excel

      Skills you'll gain: Data Visualization, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Spreadsheet Software, Data Analysis, Analytics, Data Cleansing, Data Processing, Regression Analysis, Productivity Software, Descriptive Statistics

      3.6
      Rating, 3.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization in Tableau: Create Dashboards and Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, Tableau Software, Data Analysis, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…747576…115

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

    • Geodesign: Change Your World: The Pennsylvania State University
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Perform basic data analysis tasks using Java streams: Coursera Project Network
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Introduction to Digital Marketing: IBM
    • PowerBI for Beginners: Sales Data Exploration: Coursera Project Network
    • Build a Budget and Analyze Variance using Google Sheets: Coursera Project Network
    • Análisis exploratorio de datos con Python y Pandas: Coursera Project Network
    • Tesla Stock Price Prediction using Facebook Prophet: 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.

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