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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
      M

      Microsoft

      Visualization for Data Analysis with Power BI

      Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 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

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Introduction to Social Media Analytics

      Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Social Network Analysis, Customer Insights, Market Analysis, Unstructured Data, Trend Analysis, Research

      4.3
      Rating, 4.3 out of 5 stars
      ·
      110 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Interventions and Calibration

      Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, Data Modeling, R Programming, Differential Equations, Statistical Methods, Public Health, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Budget and Analyze Variance using Google Sheets

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      79 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      L

      Lund University

      African development – from the past to the present

      Skills you'll gain: Socioeconomics, Ancient History, Economic Development, World History, Social Sciences, European History, Sustainable Development, Economics, International Relations, Anthropology, Political Sciences, Demography, Trend Analysis, Case Studies, Governance

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to R Programming and Tidyverse

      Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), R Programming, Data Presentation, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      GIS Applications Across Industries

      Skills you'll gain: ArcGIS, Geographic Information Systems, Public Health and Disease Prevention, Public Health, Land Management, Geospatial Information and Technology, Geospatial Mapping, Spatial Analysis, Epidemiology, Community Health, Spatial Data Analysis, Social Determinants Of Health, Emergency Response, Environmental Science, Natural Resource Management, Emergency Services, Business Development, Environment and Resource Management, Hazard Analysis, 3D Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp

      Data Collection and Root Cause Analysis

      Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Trading, Financial Systems, Mathematical Modeling, Numerical Analysis, Equities, Applied Mathematics, Financial Data, Correlation Analysis, Python Programming, Process Optimization, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Customer Data Analytics for Marketers

      Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…757677…116

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

    • Visualization for Data Analysis with Power BI: Microsoft
    • PowerBI for Beginners: Sales Data Exploration: Coursera Project Network
    • Introduction to Social Media Analytics: Emory University
    • Interventions and Calibration: Imperial College London
    • Build a Budget and Analyze Variance using Google Sheets: Coursera Project Network
    • African development – from the past to the present: Lund University
    • Introduction to R Programming and Tidyverse: University of Colorado Boulder
    • GIS Applications Across Industries: University of California, Davis
    • Data Collection and Root Cause Analysis: SkillUp
    • Modeling Data in the Tidyverse: Johns Hopkins University

    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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