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    • Actuarial Science

    Actuarial Science Courses Online

    Understand actuarial science for careers in insurance and finance. Study risk assessment, probability, and financial mathematics.

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    Explore the Actuarial Science Course Catalog

    • Status: Free
      Free
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      142K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Financial Markets

      Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Enterprise Risk Management (ERM), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Investments, Insurance, Underwriting, Derivatives, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

    • D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      33K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      167K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Introduction to Psychology

      Skills you'll gain: Psychology, Mental and Behavioral Health Specialties, Child Development, Mental Health, Human Learning, Social Sciences, Behavioral Health, Neurology, Biology, Scientific Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Stanford Introduction to Food and Health

      Skills you'll gain: Cooking, Nutrition and Diet, Preventative Care, Food and Beverage, Public Health and Disease Prevention, Behavioral Health, Clinical Nutrition, Chronic Diseases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 3 Months

    Actuarial Science learners also search

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    In summary, here are 10 of our most popular actuarial science courses

    • Data Science Math Skills: Duke University
    • IBM Data Science: IBM
    • Financial Markets: Yale University
    • Machine Learning: DeepLearning.AI
    • Python for Data Science, AI & Development: IBM
    • Applied Data Science: IBM
    • Data Science: Johns Hopkins University
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Google Data Analytics: Google

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Actuarial Science

    Actuarial Science courses on Coursera equip learners with key skills needed to excel in the field of actuarial science:

    • Probability and Statistics: Understand the fundamental concepts of probability and how to apply statistical methods to assess risk and uncertainty.
    • Financial Mathematics: Learn about time value of money concepts, including calculating present and future values, annuities, loans, and bonds.
    • Risk Management: Gain insights into the techniques used to manage and mitigate financial risks in insurance and finance.
    • Data Analysis: Develop proficiency in using data to predict and model potential outcomes, crucial for insurance, pensions, and finance.
    • Insurance Fundamentals: Explore the principles of various types of insurance, including life, health, property, and casualty.
    • Regulatory and Ethical Issues: Understand the regulatory landscape affecting the actuarial profession and ethical considerations in actuarial practices.
    • Exam Preparation: Prepare for professional actuarial exams with focused coursework that aligns with official actuarial exam requirements. ‎

    Coursera’s Actuarial Science courses cater to a range of learners:

    • Beginners: Some foundational knowledge in mathematics is helpful, but introductory courses are designed to start with the basics of probability and financial mathematics.
    • Intermediate Learners: Those with some background in statistics or finance can delve deeper into specific areas such as advanced risk management or actuarial modeling.
    • Advanced Students and Professionals: Experienced individuals can refine their expertise with specialized courses that enhance their analytical skills and prepare them for upper-level actuarial exams.

    These courses build from basic to advanced topics, providing a solid foundation for a career in actuarial science. ‎

    By completing Actuarial Science courses on Coursera, learners can achieve credentials that can enhance their professional development:

    • Certificates of Completion: These certificates demonstrate your learned competencies in actuarial principles and are useful for professional growth or academic purposes.
    • Professional Certificates: These are geared towards helping learners meet industry standards and preparing for professional actuarial exams.
    • Specializations: Detailed course paths that cover comprehensive topics within actuarial science, preparing learners for specific roles in the field.

    These credentials are highly valued in industries reliant on actuarial expertise such as insurance, consulting, and financial services. ‎

    Skills acquired in Actuarial Science courses can lead to several lucrative career paths:

    • Actuary: Analyze the financial costs of risk and uncertainty, using mathematics, statistics, and financial theory to study uncertain future events, particularly those of concern to insurance and pension programs.
    • Risk Analyst: Assess and manage the risk that an organization takes on in both its daily operations and long-term planning.
    • Insurance Underwriter: Decide whether to provide insurance and under what terms by evaluating insurance applications and determining coverage amounts and premiums.
    • Financial Planner: Provide clients with strategies for managing their finances, including taxes, investments, and insurance decisions.
    • Pension and Retirement Planner: Work with pension funds, designing and evaluating pension plans and helping ensure that these plans are maintained on a sound financial basis.

    A career in actuarial science is often characterized by high job satisfaction due to the challenging nature of the work and the vital role actuaries play in business decision-making. ‎

    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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