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    Results for "advanced statistics"

    • U

      University of London

      Bachelor of Science in Marketing

      Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Supply Chain Management, Training and Development, Virtual Teams, Diversity and Inclusion, Databases, Cost Accounting, International Finance, Research, Branding, Economic Development, Cultural Diversity

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
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      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Indonesian

      Skills you'll gain: Exploratory Data Analysis, Google Cloud Platform, Data Wrangling, Interactive Data Visualization, Data Visualization, Generative AI, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 繁體中文

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Pipelines, Data Manipulation, Big Data, Google Cloud Platform, Data Transformation, Data Visualization Software, Generative AI Agents, SQL, Artificial Intelligence and Machine Learning (AI/ML), Debugging

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Polski

      Skills you'll gain: Artificial Intelligence, Data Ethics, Data Analysis, Software Visualization, Exploratory Data Analysis, Technical Documentation, Applied Machine Learning, Machine Learning Methods, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Scrimba

      Intro to Supabase

      Skills you'll gain: Web Applications, Full-Stack Web Development, Database Development, Database Management, Query Languages, Real Time Data, Javascript, User Interface (UI)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Portfolio Managers: Smarter Asset Allocation

      Skills you'll gain: Portfolio Management, Asset Management, Investment Management, Generative AI, Investments, Prompt Engineering, Wealth Management, Artificial Intelligence, ChatGPT, Regulatory Compliance, Ethical Standards And Conduct, Risk Management, Risk Analysis, Real Time Data

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Master of Science in Cyber Security

      Skills you'll gain: Security Management, Key Management, Human Factors (Security), Infrastructure Security, Information Privacy, Cyber Governance, Cryptography, Application Security, Network Security, Threat Modeling, OSI Models, Security Testing, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, ISO/IEC 27001, Authorization (Computing), Penetration Testing, Data Collection, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Indian School of Business

      Certificate in Investment Management

      Skills you'll gain: Financial Statement Analysis, Portfolio Management, Financial Statements, Financial Analysis, Income Statement, Balance Sheet, Investments, Financial Market, Financial Trading, Equities, Business Valuation, Return On Investment, Performance Analysis, Financial Modeling, Finance, Risk Management, Cash Flows, Working Capital, Capital Markets, Market Dynamics

      University Certificate · 6 - 12 Months

    • U

      University of North Texas

      Bachelor of Applied Arts and Sciences

      Skills you'll gain: Operations Management, Exploratory Data Analysis, Mediation, Change Management, Business Writing, Compensation and Benefits, Integrated Marketing Communications, Apache Hadoop, Consumer Behaviour, Organizational Change, Stakeholder Management, Event Management, Grammar, Social Media Strategy, Business Ethics, Sales Process, Diversity Awareness, Conflict Management, Research, Nutrition and Diet

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Unsupervised Learning, Data Mining, Statistical Modeling, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Service Level, Performance Testing, Probability, Dimensionality Reduction, Applied Machine Learning, Statistical Machine Learning, Data Warehousing, Probability & Statistics, Regression Analysis, Software Engineering, Bash (Scripting Language), Data Science

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • O

      O.P. Jindal Global University

      MBA Business Analytics

      Skills you'll gain: Data Storytelling, Operations Management, Design Thinking, Active Listening, Business Ethics, Data Visualization, Working Capital, Database Management, Sampling (Statistics), Environmental Social And Corporate Governance (ESG), Project Estimation, Financial Statements, Business Analytics, Global Marketing, Financial Accounting, Predictive Analytics, Marketing Planning, Big Data, Business Economics, Emerging Technologies

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Bases de la Salud Pública

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Health Disparities, Biostatistics, Health Policy, Health Systems, Healthcare Ethics, Descriptive Statistics, Statistical Hypothesis Testing, Health Technology, Public Health, Infectious Diseases, Health Care, Scientific Methods, Health Equity, Community Health, Preventative Care, Statistics, Research Design, Research Methodologies

      Credit offered

      Mastertrack · 6 - 12 Months

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    advanced statistical analysis and tools
    seaborn: visualizing basics to advanced statistical plots
    advanced probability and statistical methods
    advanced linear models for data science 2: statistical linear models
    1…257258259…261

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

    • Bachelor of Science in Marketing: University of London
    • Boost Productivity with Gemini in BigQuery - Indonesian: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 繁體中文: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
    • Intro to Supabase: Scrimba
    • GenAI for Portfolio Managers: Smarter Asset Allocation: Coursera Instructor Network
    • Master of Science in Cyber Security: University of London
    • Certificate in Investment Management: Indian School of Business
    • Bachelor of Applied Arts and Sciences: University of North Texas
    • Data Science Graduate Certificate: University of Colorado Boulder

    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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