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    • Statistics

    Statistics Courses Online

    Study statistics for data analysis and interpretation. Learn about descriptive statistics, probability, and inferential statistics.

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    Explore the Statistics Course Catalog

    • Placeholder
      R

      Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Code Review, Probability, Programming Principles, Program Development, Computational Thinking, Probability & Statistics, Object Oriented Programming (OOP), Development Testing, Engineering Software, Software Testing, Applied Mathematics, Algorithms, Python Programming, Mathematical Theory & Analysis, Simulations, Arithmetic

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Interactive Data Visualization, Data Analysis, Regression Analysis, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Storytelling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Visualization Software, Web Scraping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      Performing Network, Path, and Text Analyses in SAS Visual Analytics

      Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Business Analysis, Statistical Programming, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      193 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Digital Marketing Institute

      Facebook, Instagram, and Snapchat Marketing

      Skills you'll gain: Social Media Marketing, Social Media, Facebook, Instagram, Target Audience, Social Media Content, Advertising Campaigns, Social Media Strategy, Web Analytics, Brand Awareness, Campaign Management, Advertising, Performance Measurement, Digital Marketing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Statistical Analysis, R Programming, Exploratory Data Analysis, Data Wrangling, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      U

      University of Colorado System

      Genetic Epidemiology Foundations

      Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Correlation Analysis, Data Quality, Data Analysis, Probability & Statistics, Statistical Methods, Regression Analysis, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      N

      Nanjing University

      走进天文学

      Skills you'll gain: General Science and Research, Science and Research, Research Methodologies, Physical Science, Scientific Methods, Physics, Spatial Analysis, Mechanics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      226 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Sampling (Statistics), Data Quality, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      J

      Johns Hopkins University

      Gestión del análisis de datos

      Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Data Management, Business Analytics, Management Reporting, Analytical Skills, Statistical Inference, Team Management, Statistical Modeling, Strategic Decision-Making, Data Presentation, Team Leadership, Statistical Analysis, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      R

      Rice University

      Capstone: Build a Winning Investment Portfolio

      Skills you'll gain: Portfolio Management, Investment Management, Asset Management, Investments, Finance, Financial Market, Simulation and Simulation Software, Performance Analysis, Consumer Behaviour, Trend Analysis, Risk Analysis, Market Analysis, Analysis, Decision Making, Forecasting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 3 Months

    Statistics learners also search

    R Statistics
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    Beginner Statistics
    Free Statistics
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    Statistical Modeling
    1…474849…105

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

    • Principles of Computing (Part 1): Rice University
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • Data Analysis for Managerial Decision-Making: Rice University
    • Data Science with R - Capstone Project: IBM
    • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
    • Facebook, Instagram, and Snapchat Marketing: Digital Marketing Institute
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • Genetic Epidemiology Foundations: University of Colorado System
    • 走进天文学: Nanjing University
    • How to Describe Data: University of Michigan

    Frequently Asked Questions about Statistics

    Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data:

    • Understanding of statistical theory, including probability, distributions, and hypothesis testing.
    • Skills in applying statistical methods to real-world problems across various industries.
    • Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data.
    • Techniques for designing experiments and surveys to collect data efficiently.
    • Knowledge of regression analysis, ANOVA, and other statistical models.
    • Insights into big data analytics, including machine learning algorithms driven by statistical principles.
    • Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.‎

    Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey:

    • Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills.
    • Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications.
    • Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques. ‎

    Coursera provides various educational pathways to help validate your skills in statistics:

    • Professional certificates that can help you demonstrate your competence in statistical analysis.
    • Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics.
    • Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics.

    These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.‎

    Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors:

    • Data Analyst: Utilize statistical tools and methods to interpret data and inform business decisions.
    • Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis.
    • Biostatistician: Apply statistics to biological sciences and public health.
    • Econometrician: Use statistical techniques to study economic data and trends.
    • Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.‎

    Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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