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    Results for "advanced statistics"

    • G

      Georgia Institute of Technology

      Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

      Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Certified Ethical Hacking (v12)

      Skills you'll gain: Cloud Security, Penetration Testing, Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Malware Protection, Cybersecurity, Threat Modeling, Cloud Computing, Mobile Security, Cyber Security Assessment, Cyber Attacks, Security Testing, Cloud Services, Threat Detection, Cloud Infrastructure, Information Systems Security, Intrusion Detection and Prevention, Cyber Threat Intelligence, Firewall, Incident Response

      4.7
      Rating, 4.7 out of 5 stars
      ·
      202 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      173 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      162 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Advanced Styling with Responsive Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Cascading Style Sheets (CSS), Bootstrap (Front-End Framework), Wireframing, Front-End Web Development, Browser Compatibility, Usability, User Interface (UI), Web Content Accessibility Guidelines, Mobile Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Mathematical Software, Engineering Calculations, Computer Programming, Programming Principles, Engineering Analysis, Scripting, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      419 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IIMA - IIM Ahmedabad

      Advanced Digital Transformation

      Skills you'll gain: Digital Transformation, Business Transformation, Stakeholder Engagement, Innovation, Organizational Change, Change Management, Business Modeling, Technology Strategies, Organizational Strategy, Artificial Intelligence, Enterprise Architecture, Organizational Effectiveness, Performance Improvement, Cloud Computing Architecture, Governance, Business Technologies, Emerging Technologies, Operational Excellence, Workforce Development, Business Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      137 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics and Information Economics

      Skills you'll gain: Business Analytics, Data Presentation, Analytics, Data Analysis, Business Intelligence, Business Valuation, Data Quality, Asset Management, Information Management, Advanced Analytics, Data-Driven Decision-Making, Big Data, Predictive Analytics, Management Information Systems, Data Strategy, Data Warehousing, Digital Assets, Data Science, Information Privacy, Information Architecture

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      389 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • S

      Shanghai Jiao Tong University

      Discrete Mathematics

      Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

      3.3
      Rating, 3.3 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Semiconductor Devices 1

      Skills you'll gain: Semiconductors, Electronic Components, Electronics, Basic Electrical Systems, Electrical Engineering, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Institute for the Future

      Forecasting Skills: See the Future Before it Happens

      Skills you'll gain: Forecasting, Visionary, Proactivity, Strategic Thinking, Trend Analysis, Market Trend, Storytelling, Creative Thinking, Adaptability, Critical Thinking, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      499 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…424344…269

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

    • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
    • Certified Ethical Hacking (v12): LearnKartS
    • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
    • C Programming for Everybody: University of Michigan
    • Advanced Styling with Responsive Design: University of Michigan
    • Mastering Programming with MATLAB: Vanderbilt University
    • Advanced Digital Transformation: IIMA - IIM Ahmedabad
    • Introduction to Business Analytics and Information Economics: University of Illinois Urbana-Champaign
    • Simulation and modeling of natural processes: University of Geneva
    • Discrete Mathematics: Shanghai Jiao Tong University

    Frequently Asked Questions about Advanced Statistics

    Advanced statistics are the mathematical tools used to discover and explore complex relationships between different variables in large datasets. In contrast to basic statistics such as average and analysis of variance (ANOVA) that simply describe the characteristics of a dataset, advanced statistical approaches often seek to make predictions about the world. This requires the use of more sophisticated statistical inference tools, such as generalized linear models for regression analysis capable of establishing how multiple interrelated factors may impact projected outcomes.

    These advanced statistical methods are increasingly important in the field of data science, which is tasked with uncovering important business insights and developing predictive models from diverse big data-scale datasets. These techniques are also especially important for the proper training and use of machine learning algorithms. As in data science and machine learning more generally, R programming and Python programming skills are typically relied upon to conduct these advanced statistical analyses.‎

    Advanced statistics skills are essential for work in data science, machine learning, and artificial intelligence (AI), as statistical approaches are at the heart of the learning algorithms that make these applications possible. An understanding of statistics is likewise important for professionals in finance, healthcare, and other industries that are increasingly making use of machine learning and AI, as they increasingly need to work closely with data scientists to ensure that these powerful techniques are developed to solve the right business problems.

    Those wishing to delve deeper into advanced statistical methods and help develop new mathematical approaches in the field may pursue a master’s or even a PhD in statistics. These experts work in academia, government, or at private sector companies involved in scientific or engineering research. According to the Bureau of Labor Statistics, professional statisticians earn a median annual salary of $91,160, and this specialized career path is expected to be in high demand due to expanding opportunities to use statistics to navigate our data-rich world.‎

    Certainly. Coursera offers a variety of courses in advanced statistics as well as their applications in the context of fields like data science and machine learning. In fact, coursework in statistics is often a prerequisite for data science classes. Regardless of your level of expertise and needs in these areas, Coursera enables you to learn remotely from top-ranked schools like the University of Michigan, Johns Hopkins University, and Duke University. And, since you can view course materials and complete coursework on a flexible schedule, there’s an exceedingly high probability that you can fit online learning about advanced statistics into your existing school or work life.‎

    You need to have strong math skills, especially in basic calculus, linear algebra, and statistics before starting to learn advanced statistics. It's important that you have strong technical skills and are very comfortable on the computer, strong analytical skills, and the ability to carefully examine and question data that is presented to you so that you can organize and draw conclusions from it. For learning some concepts in advanced statistics, you'll need to have experience using the R statistical software package and understand Bayesian estimation, principles of maximum-likelihood estimation, and calculus-based probability.‎

    People who enjoy mathematics are best suited for roles in advanced statistics, especially those who enjoy concepts like probability, linear models, and statistics and how they relate to data science. They can quickly grasp and apply complex technical concepts as well. Those who enjoy testing hypotheses and figuring out uncertain outcomes based on probability are also well suited for roles in advanced statistics. Also, people who have wide-ranging computer skills, the ability to communicate their statistical findings in plain language, problem-solving and analytical skills, and teamwork and collaborative skills are best suited for roles involving advanced statistics.‎

    If you're aspiring to be a biostatistician or data scientist, learning advanced statistics is probably right for you. If you're interested in machine learning and the development of data products, you may also find learning advanced statistics is right for you. People who want to have a career as a statistician, statistical epidemiologist, sports analyst, actuary, market researcher, or investment analyst may also find learning advanced statistics to be the right choice. And if you need to understand how to transform complex sets of data into practical applications, learning advanced statistics is right for you.‎

    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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