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    • Advanced Statistics

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    451 results for "advanced statistics"

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      EC-Council

      Cybersecurity Attack and Defense Fundamentals

      Skills you'll gain: Security Engineering, Computer Networking, Network Security, Cyberattacks, Operating Systems, System Security, Computer Architecture, Data Management, Software Security, Network Architecture, Software Engineering, Computer Security Incident Management, Finance, Regulations and Compliance, Cloud Computing, Cloud Platforms, Mobile Development, Mobile Security, Network Model, Extract, Transform, Load, Cloud Infrastructure, Computer Programming, Computer Security Models, Cryptography, Databases, Docker (Software), Internet Of Things, Other Programming Languages, SQL, Security Strategy, Software Testing, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science

      4.7

      (66 reviews)

      Beginner · Specialization · 3-6 Months

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      Deep Teaching Solutions

      Uncommon Sense Teaching

      Skills you'll gain: Business Psychology, Entrepreneurship, Human Resources, Leadership and Management, People Development, Human Learning, Applied Machine Learning, Leadership Development, Machine Learning, Project Management, Strategy and Operations, Algebra, Creativity, Mathematics, Research and Design

      4.9

      (545 reviews)

      Beginner · Specialization · 1-3 Months

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      Macquarie University

      Online Learning Design for Educators

      Skills you'll gain: Business Psychology, Entrepreneurship, Human Learning, Leadership and Management, Human Resources, People Development, Communication, Applied Machine Learning, Collaboration, Machine Learning, Machine Learning Algorithms, Software Engineering, Software Testing, Algorithms, Back-End Web Development, Computer Graphic Techniques, Computer Graphics, Emotional Intelligence, Graphics Software, Influencing, Marketing, Media Production, Problem Solving, Research and Design, Sales, Strategy, Theoretical Computer Science, Visual Design, Web Development

      4.7

      (202 reviews)

      Beginner · Specialization · 3-6 Months

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      Google Cloud

      Serverless Data Processing with Dataflow

      Skills you'll gain: Data Management, Computer Architecture, Cloud Computing, Hardware Design, Computer Programming, Distributed Computing Architecture, Computational Thinking, Theoretical Computer Science, Apache, Google Cloud Platform, Statistical Programming, DevOps, Software Engineering, Software Testing, Big Data, Accounting

      4.1

      (90 reviews)

      Intermediate · Specialization · 3-6 Months

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      Amazon Web Services

      Getting Started with AWS Machine Learning

      Skills you'll gain: Data Mining, Data Science, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Amazon Web Services, Computer Vision, Other Cloud Platforms and Tools, Artificial Neural Networks, Business Psychology, Cloud Computing, Deep Learning, Entrepreneurship

      4.5

      (6.4k reviews)

      Intermediate · Course · 1-3 Months

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      Microsoft

      Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Cloud Computing, Computer Vision, Machine Learning, Microsoft Azure, Natural Language Processing

      4.6

      (238 reviews)

      Beginner · Course · 1-4 Weeks

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      Columbia University

      Camera and Imaging

      Skills you'll gain: Computer Vision, Computer Graphic Techniques, Computer Graphics, Machine Learning, Mathematics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis

      4.7

      (80 reviews)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Intermediate Relational Database and SQL

      Skills you'll gain: Data Management, Databases, SQL, Statistical Programming, Data Science, Database Administration

      4.4

      (473 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Macquarie University

      Creating Innovation

      Skills you'll gain: Entrepreneurship, Research and Design, Innovation, Leadership and Management, Communication, Machine Learning, Machine Learning Software, Marketing, Sales, Strategy, Strategy and Operations

      4.7

      (49 reviews)

      Beginner · Course · 1-3 Months

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      Parsons School of Design, The New School

      Natural Creativity

      Skills you'll gain: Creativity, Entrepreneurship, Research and Design, Machine Learning

      4.6

      (14 reviews)

      Intermediate · Course · 1-3 Months

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      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Machine Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Statistical Machine Learning, Algebra, Computer Vision, Data Engineering, Data Science, Deep Learning, Econometrics, Mathematics, Python Programming, Tensorflow

      4.4

      (67 reviews)

      Advanced · Course · 1-4 Weeks

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      Coursera Project Network

      Tidy Messy Data using tidyr in R

      Skills you'll gain: Data Analysis, Data Management, R Programming

      4.4

      (7 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to advanced statistics

    advanced statistics for data science
    advanced linear models for data science 2: statistical linear models
    1…35363738

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

    • Cybersecurity Attack and Defense Fundamentals: EC-Council
    • Uncommon Sense Teaching: Deep Teaching Solutions
    • Online Learning Design for Educators: Macquarie University
    • Serverless Data Processing with Dataflow: Google Cloud
    • Getting Started with AWS Machine Learning: Amazon Web Services
    • Artificial Intelligence on Microsoft Azure: Microsoft
    • Camera and Imaging: Columbia University
    • Intermediate Relational Database and SQL: Coursera Project Network
    • Creating Innovation: Macquarie University
    • Natural Creativity: Parsons School of Design, The New School

    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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