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    Results for "advanced statistics"

    • Status: New
      New

      University of Illinois Urbana-Champaign

      Advanced Topics in Artificial Intelligence

      Skills you'll gain: Automation, Artificial Intelligence, Data Ethics, Advanced Analytics, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Robotic Process Automation, Data Infrastructure, Cloud Computing Architecture, Predictive Analytics, Data-Driven Decision-Making, Machine Learning, Emerging Technologies, Cloud Computing, Internet Of Things, Computer Hardware

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Board Infinity

      Snowflake - SnowPro Core Certification Preparation

      Skills you'll gain: Performance Tuning, User Accounts, Data Warehousing, Identity and Access Management, Data Modeling, Data Integration, SQL, Cloud Computing Architecture, Role-Based Access Control (RBAC), Data Import/Export, Business Intelligence, Data Transformation, Data Security, Scalability

      2.7
      Rating, 2.7 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

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      Free Trial

      Yonsei University

      AR (Augmented Reality) & Video Streaming Services Emerging Technologies

      Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Live Streaming, Multimedia, Emerging Technologies, Market Analysis, Market Share, Network Routing, Market Opportunities, Cloud Services, Network Protocols, Computer Vision, Business Modeling, Video Production, Content Management, Scalability, User Interface (UI)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
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      11 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Infectious Disease Modeling in Practice

      Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Predictive Modeling, Forecasting, Data Analysis, Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

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      Free Trial

      Board Infinity

      Learning MEAN Stack by Building Real world Application

      Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, MongoDB, Back-End Web Development, Application Frameworks, Javascript, Restful API, Front-End Web Development, Server Side, JavaScript Frameworks, Web Development Tools, Application Deployment, Application Development, Middleware, Authentications, Web Design and Development, Web Applications, Web Development

      4.1
      Rating, 4.1 out of 5 stars
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      52 reviews

      Intermediate · Specialization · 1 - 3 Months

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      Free Trial

      SkillUp EdTech

      Scrum Master Capstone

      Skills you'll gain: User Story, Sprint Retrospectives, Sprint Planning, Backlogs, Agile Product Development, Agile Project Management, Product Roadmaps, Project Closure, Agile Methodology, Product Management, Kanban Principles, Stakeholder Engagement, Team Building, Meeting Facilitation, Estimation

      4.9
      Rating, 4.9 out of 5 stars
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      38 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Packt

      Rust Programming Masterclass from Beginner to Expert

      Skills you'll gain: Rust (Programming Language), Data Structures, Development Environment, Performance Tuning, Package and Software Management, Blockchain, Web Servers, Web Development, Programming Principles, Algorithms, Performance Testing, Software Visualization, System Programming, Distributed Computing, Data Management, Computer Programming Tools, Web Scraping, Software Design, Software Testing, Capacity Management

      3.8
      Rating, 3.8 out of 5 stars
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      17 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Coursera Project Network

      How to design Facebook and IG stories using Canva

      Skills you'll gain: Canva (Software), Animations, Content Creation, Infographics, Social Media Content, Storytelling, Graphic and Visual Design Software, Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      139 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial

      University of Colorado System

      Basic Cryptography and Programming with Crypto API

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Advanced Encryption Standard (AES), Application Security, Public Key Cryptography Standards (PKCS), Secure Coding, Data Security, Web Development, Email Security, PHP (Scripting Language), Algorithms, User Provisioning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial

      Packt

      Foundations of Project Management

      Skills you'll gain: Stakeholder Engagement, Project Management Institute (PMI) Methodology, Project Management, Agile Project Management, Project Risk Management, People Management, Project Planning, Team Building, Business Ethics, Ethical Standards And Conduct, Conflict Management, Performance Management, Negotiation, Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Essentials

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Spreadsheet Software, Box Plots, Probability Distribution, Statistical Visualization, Histogram

      Beginner · Course · 1 - 3 Months

    Searches related to advanced statistics

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

    • Advanced Topics in Artificial Intelligence: University of Illinois Urbana-Champaign
    • Snowflake - SnowPro Core Certification Preparation: Board Infinity
    • AR (Augmented Reality) & Video Streaming Services Emerging Technologies: Yonsei University
    • Data Analysis for Managerial Decision-Making: Rice University
    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Learning MEAN Stack by Building Real world Application: Board Infinity
    • Scrum Master Capstone: SkillUp EdTech
    • Rust Programming Masterclass from Beginner to Expert: Packt
    • How to design Facebook and IG stories using Canva: Coursera Project Network
    • Basic Cryptography and Programming with Crypto API: University of Colorado System

    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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