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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

    • University of Illinois Urbana-Champaign

      Forecasting Financial Statements & Valuation for Accountants

      Skills you'll gain: Financial Forecasting, Financial Statement Analysis, Financial Accounting, Business Valuation, Financial Statements, Cash Flow Forecasting, Financial Analysis, Financial Modeling, Balance Sheet, Generally Accepted Accounting Principles (GAAP), Trend Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Business Analytics, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Trend Analysis, Forecasting, Data Manipulation, Python Programming

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Tecnológico de Monterrey

      Tecnologías para la Innovación Educativa

      Skills you'll gain: Education Software and Technology, Pedagogy, Technology Solutions, Learning Management Systems, Emerging Technologies, Innovation, Technology Strategies, Higher Education, Solution Design, Trend Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      249 reviews

      Beginner · Course · 1 - 3 Months

    • University of California San Diego

      Finding Mutations in DNA and Proteins (Bioinformatics VI)

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Machine Learning Methods, Computational Thinking, Algorithms, Computer Programming Tools, Data Structures, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Dashboard, Business Analytics, Data Quality, Business Intelligence, Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Exploratory Data Analysis, Project Management Life Cycle, Job Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    • 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 Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Surveillance Systems: The Building Blocks

      Skills you'll gain: Epidemiology, Public Health, Public Health and Disease Prevention, Health Systems, Health Policy, Program Evaluation, Infectious Diseases, Surveys, Data Collection, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      488 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Image Analysis, Artificial Neural Networks, Natural Language Processing, Deep Learning, Artificial Intelligence, Machine Learning Methods, Probability & Statistics

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Automation Engineering, Mechanical Engineering, Linear Algebra, Engineering Calculations, Trigonometry, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      103 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    Statistics learners also search

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    1…444546…105

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

    • Forecasting Financial Statements & Valuation for Accountants: University of Illinois Urbana-Champaign
    • Hypothesis Testing with Python and Excel: Tufts University
    • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Tecnologías para la Innovación Educativa: Tecnológico de Monterrey
    • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
    • Business Analytics : Campus BBVA
    • Data Science with R - Capstone Project: IBM
    • Surveillance Systems: The Building Blocks: Johns Hopkins University
    • Introduction to Generative AI: University of Colorado Boulder
    • 機器人學一 (Robotics (1)): National Taiwan University

    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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