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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 Trial
      Free Trial
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: User Story, CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), DevOps, Git (Version Control System), Flask (Web Framework), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Python Programming, Data Structures, Data Science, GitHub

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Cybersecurity

      Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Cyber Security Strategy, Incident Response, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis, Ethical Standards And Conduct

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Introduction to Environmental Science

      Skills you'll gain: Environment, Environmental Issue, Environmental Science, Demography, Energy and Utilities, Water Resources, Environmental Policy, Biology, Environment and Resource Management, Environmental Engineering, Land Management, Nutrition and Diet, Electric Power Systems, Nutrition Education, Systems Thinking, Natural Resource Management, Social Studies, Physics, Human Development, Physical Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      357 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

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    1…456…615

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

    • IBM DevOps and Software Engineering: IBM
    • AI For Everyone: DeepLearning.AI
    • Genomic Data Science: Johns Hopkins University
    • Deep Learning: DeepLearning.AI
    • Data Science Fundamentals with Python and SQL: IBM
    • Data Analysis with R Programming: Google
    • Foundations of Cybersecurity: Google
    • Introduction to Environmental Science: Dartmouth College
    • Introduction to Data Science: IBM
    • R Programming: Johns Hopkins University

    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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