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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

    • M

      Meta

      Meta Front-End Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Responsive Web Design, Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, User Interface and User Experience (UI/UX) Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Web Development Tools

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • 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, Computer Programming Tools, Data Analysis Software, Data Cleansing, GitHub, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      75K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Software Development Tools, Web Development, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • 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, Linux Commands, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), Agile Software Development, DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • 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
      ·
      343 reviews

      Beginner · Specialization · 1 - 3 Months

    • 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, Jupyter, Advanced Mathematics, Data Science, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning

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

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • 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

    • I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    Actuarial Science learners also search

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

    • Meta Front-End Developer: Meta
    • IBM Data Engineering: IBM
    • Introduction to Data Science: IBM
    • What is Data Science? : IBM
    • IBM AI Developer: IBM
    • IBM DevOps and Software Engineering: IBM
    • Introduction to Environmental Science: Dartmouth College
    • Mathematics for Machine Learning: Imperial College London
    • Statistics with Python: University of Michigan
    • Deep Learning: DeepLearning.AI

    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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