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    • Discrete Mathematics

    Discrete Mathematics Courses Online

    Master discrete mathematics for computer science and engineering. Learn about logic, set theory, combinatorics, graph theory, and algorithms.

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    Explore the Discrete Mathematics Course Catalog

    • Status: Free
      Free
      D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      A

      American Psychological Association

      t-Tests of Hypotheses About Means

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Probability Distribution, Data Analysis, Research Design, Psychology

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Microsoft Excel استخدام المعادلات و الوظائف البسيطة فى

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Software, Data Analysis, Customer Analysis, Analysis, Analytical Skills, Gross Profit, Productivity Software, Business Mathematics

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Foundations of Deep Learning and Neural Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Geographical Information Systems - Part 2

      Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)

      Beginner · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Pesquisa de Mercado com Métodos Quantitativos

      Skills you'll gain: Quantitative Research, Survey Creation, Sampling (Statistics), Data Collection, Market Research, Data Analysis, Research Methodologies, Statistical Analysis, Data Quality

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Particle Filters (and Navigation)

      Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Algorithms, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      القرارات الاستثمارية باستخدام معيار صافي القيمة الحالية

      Skills you'll gain: Capital Budgeting, Return On Investment, Financial Analysis, Cost Benefit Analysis, Investments, Decision Making, Business Mathematics, Risk Analysis, Cash Flows

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science Decisions in Time: Using Data Effectively

      Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Decision Tree Learning, Markov Model, Data Analysis, Time Series Analysis and Forecasting, Bayesian Statistics, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, Sampling (Statistics)

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Industrial Optimization: Models & Linear Programming

      Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Process Optimization, Business Modeling, Complex Problem Solving, Data Analysis Software

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular discrete mathematics courses

    • R을 사용한 확률 및 데이터 소개: Duke University
    • t-Tests of Hypotheses About Means: American Psychological Association
    • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
    • Microsoft Excel استخدام المعادلات و الوظائف البسيطة فى : Coursera Project Network
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Foundations of Deep Learning and Neural Networks: Packt
    • Geographical Information Systems - Part 2: École Polytechnique Fédérale de Lausanne
    • Pesquisa de Mercado com Métodos Quantitativos: Fundação Instituto de Administração
    • Particle Filters (and Navigation): University of Colorado System
    • القرارات الاستثمارية باستخدام معيار صافي القيمة الحالية: Alfaisal University | KLD

    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 Discrete Mathematics

    Discrete mathematics refers to a group of mathematics branches that deal with discrete objects instead of continuous objects. In discrete mathematics, objects have distinct, separate values represented by integers, unlike real numbers used in continuous mathematics. Discrete mathematics includes combinatorics, set theory, graph theory, number theory, and probability. It is integral to computer science and plays a role in the field of data science.‎

    You may consider learning discrete mathematics if you want to study computer science or work in a data science field. Discrete mathematics is a foundation of computer science, and programmers often use principles of set theory, probability, and combinations to analyze algorithms when writing programs and applications. Learning discrete mathematics can also help boost other useful skills like logic, reasoning, and problem-solving, making you a more marketable job candidate. ‎

    Typical careers that use discrete mathematics are in the computer science field, such as software development, programming, and cryptography. Data scientists and data analysts may use their knowledge of discrete mathematics in their work. Other careers that can incorporate discrete mathematics include electrical and mechanical engineers in addition to data analysts, business analysts, and market researchers. Discrete mathematics also influences the work of urban planners, epidemiologists, and social scientists who collect and analyze large amounts of data.‎

    Online courses can introduce you to core concepts of discrete mathematics, such as sets, relations, and functions. Lessons include topics like partial orders, enumerative combinatorics, and the binomial coefficient, and you have opportunities to apply the concepts to real-world applications. You may choose courses that cover specific subjects like graph theory or probability to increase your knowledge of these disciplines. Alternatively, you may decide to take courses that explore the application of discrete mathematics in specific fields like data science, computer science, or machine learning.‎

    Online Discrete Mathematics courses offer a convenient and flexible way to enhance your knowledge or learn new Discrete Mathematics skills. Choose from a wide range of Discrete Mathematics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Discrete Math, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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