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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 California San Diego

      Machine Learning With Big Data

      Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Market Risk Management: Frameworks & Strategies

      Skills you'll gain: Risk Management, Risk Modeling, Financial Market, Derivatives, Investment Management, Portfolio Management, Risk Analysis, Market Data, Equities, Asset Management, Capital Markets, Estimation, Financial Modeling, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      188 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      頑想學概率:機率二 (Probability (2))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Analytics, SQL, Python Programming, Exploratory Data Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      566 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Evolución

      Skills you'll gain: Biology, Life Sciences, Human Development, Human Learning, Environment, Anthropology, World History, Social Studies, Deductive Reasoning, Innovation, Molecular, Cellular, and Microbiology, European History, Higher Education, Taxonomy, Mathematical Modeling, Scientific Methods, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      361 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Essential Design Principles for Tableau

      Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, User Centered Design, Human Factors

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      GIS Data Acquisition and Map Design

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Design Elements And Principles, Data Import/Export, File Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      712 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      337 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Medical Technology and Evaluation

      Skills you'll gain: Payment Systems, Healthcare Industry Knowledge, Medical Equipment and Technology, Cost Benefit Analysis, Clinical Trials, Health Technology, Clinical Data Management, Financial Regulations, Program Evaluation, Pharmaceuticals, Health Policy, Risk Analysis, Health Care Procedure and Regulation, Claims Processing, Health Care, Regulatory Affairs, Quality Assessment, Medicare, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      290 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      576 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Preparing for the SAS Programming Certification Exam

      Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Processing, Data Analysis, Descriptive Statistics, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      139 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Analytics Foundations

      Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Presentation, Data Visualization Software, Business Analysis, Data Analysis, Analytics, Business Requirements, Exploratory Data Analysis, Data-Driven Decision-Making, Stakeholder Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…565758…115

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

    • Machine Learning With Big Data: University of California San Diego
    • Market Risk Management: Frameworks & Strategies: New York Institute of Finance
    • 頑想學概率:機率二 (Probability (2)): National Taiwan University
    • Accounting Data Analytics: University of Illinois Urbana-Champaign
    • Evolución: Universidad Nacional Autónoma de México
    • Essential Design Principles for Tableau: University of California, Davis
    • GIS Data Acquisition and Map Design: University of Toronto
    • Data Analysis with R: IBM
    • Medical Technology and Evaluation: University of Minnesota
    • Introduction to R Programming for Data Science: IBM

    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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