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    Results for "advanced statistics"

    • Status: New
      New
      P

      Packt

      Advanced Docker - Data Persistence and Orchestration

      Skills you'll gain: Docker (Software), Application Deployment, Containerization, Nginx, Microservices, Data Storage, YAML, Command-Line Interface, General Networking

      Intermediate · Course · 1 - 3 Months

    • 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 Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Applied Machine Learning, Cloud Services, Database Management, Natural Language Processing, JSON, Data Mining, Qualitative Research, Statistical Visualization

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      Degree · 1 - 4 Years

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      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

    • G

      Georgetown University

      Bachelor of Arts in Liberal Studies

      Skills you'll gain: Vulnerability Assessments, Operations Management, Data Storytelling, Business Strategy, Competitive Intelligence, Design Thinking, Survey Creation, Cyber Threat Intelligence, Social Justice, Descriptive Statistics, Environment, Business Ethics, Capital Budgeting, Market Opportunities, Storytelling, Marketing Planning, International Relations, Artificial Intelligence, Policy Development, Political Sciences

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      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

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

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • 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

    • O

      O.P. Jindal Global University

      MBA Business Analytics

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

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Financial Management Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Taxation

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of North Texas

      Bachelor of Science in General Business

      Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Integrated Marketing Communications, Organizational Change, Event Management, Grammar, Sales Process, Data Mining, Data Visualization, Design Thinking, Global Marketing, Probability & Statistics, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Social Justice, Music History, Sociology

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Electrical Engineering

      Skills you'll gain: User Story, Real-Time Operating Systems, Model Based Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Object Oriented Design, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Database Design, Goal Setting, Proposal Writing, Generative AI, Process Capability

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…258259260…262

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

    • Advanced Docker - Data Persistence and Orchestration: Packt
    • Certificate in Investment Management: Indian School of Business
    • Master of Applied Data Science: University of Michigan
    • Bachelor of Applied Arts and Sciences: University of North Texas
    • Bachelor of Arts in Liberal Studies: Georgetown University
    • Data Science Graduate Certificate: University of Colorado Boulder
    • Certificado en Bases de la Salud Pública: Pontificia Universidad Católica de Chile
    • MBA Business Analytics: O.P. Jindal Global University
    • Financial Management Graduate Certificate: University of Illinois at Urbana-Champaign
    • Graduate Certificate in Taxation: University of Illinois at Urbana-Champaign

    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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