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    Results for "advanced statistics"

    • Packt

      ServiceNow System Administrator from Zero to Hero

      Skills you'll gain: ServiceNow, Service Level, Systems Administration, User Accounts, Authorization (Computing), Database Application, IT Service Management, System Configuration, Application Development, Automation, Content Management, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
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      SkillUp EdTech

      Advanced Statistical Analysis and Tools

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Duke University

      Financial Risk Management with R

      Skills you'll gain: Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Financial Analysis, Securities (Finance), Time Series Analysis and Forecasting, Probability & Statistics, Statistical Modeling

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Pontificia Universidad Católica de Chile

      Mejores Decisiones con Business Analytics

      Skills you'll gain: Descriptive Analytics, Data Mining, Business Analytics, Data Presentation, Predictive Analytics, Business Intelligence, Forecasting, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Decision Making

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Aptly

      Advertising and E-commerce on TikTok

      Skills you'll gain: TikTok, Content Performance Analysis, Performance Measurement, Web Analytics, Advertising, Digital Media Strategy, Advertising Campaigns, Performance Analysis, Performance Metric, Digital Advertising, Marketing Analytics, Marketing, Marketing Strategies, E-Commerce, Campaign Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Meta

      Working with Data in Android

      Skills you'll gain: Restful API, Android Development, Kotlin, Android Studio, Application Programming Interface (API), Mobile Development, Database Management, Databases, JSON, Web Applications, SQL, Data Access

      4.7
      Rating, 4.7 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Infosec

      Advanced Python Scripting for Cybersecurity

      Skills you'll gain: Network Analysis, Network Security, Cyber Operations, MITRE ATT&CK Framework, Cybersecurity, Threat Detection, Network Monitoring, Penetration Testing, Anomaly Detection, Scripting, Network Protocols, Authentications, TCP/IP, Python Programming, Data Access, User Accounts, System Programming, Automation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      73 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Alberta Machine Intelligence Institute

      Optimizing Machine Learning Performance

      Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, Production Planning, Data Maintenance, Maintainability, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

      4.4
      Rating, 4.4 out of 5 stars
      ·
      49 reviews

      Mixed · Course · 1 - 4 Weeks

    • University of Michigan

      Llama for Python Programmers

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
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      University of Michigan

      Advanced Understanding of Stocks and Bonds

      Skills you'll gain: Equities, Investments, Financial Analysis, Financial Market, Corporate Finance, Business Valuation, Financial Modeling, Return On Investment, Risk Analysis, Growth Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
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      Coursera Instructor Network

      GenAI for Fraud Detection and Compliance

      Skills you'll gain: Generative AI, Law, Regulation, and Compliance, Regulatory Requirements, Compliance Management, Compliance Reporting, Governance, Business Risk Management, Governance Risk Management and Compliance, Risk Management, Financial Regulation, Anomaly Detection, Compliance Auditing, Data Governance, Artificial Intelligence, Large Language Modeling, Threat Detection, Advanced Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 4 Weeks

    • The Hong Kong University of Science and Technology

      Monetary Policy in the Asia Pacific

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      4.8
      Rating, 4.8 out of 5 stars
      ·
      329 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…110111112…269

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

    • ServiceNow System Administrator from Zero to Hero: Packt
    • Advanced Statistical Analysis and Tools : SkillUp EdTech
    • Financial Risk Management with R: Duke University
    • Mejores Decisiones con Business Analytics: Pontificia Universidad Católica de Chile
    • Advertising and E-commerce on TikTok: Aptly
    • Working with Data in Android: Meta
    • Advanced Python Scripting for Cybersecurity: Infosec
    • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
    • Llama for Python Programmers: University of Michigan
    • Advanced Understanding of Stocks and Bonds: University of Michigan

    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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