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    Results for "advanced statistics"

    • S

      Snowflake

      Intro to Snowflake for Devs, Data Scientists, Data Engineers

      Skills you'll gain: Data Manipulation, Data Lakes, Data Warehousing, SQL, Data Pipelines, Cloud Applications, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Generative AI, Large Language Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Technical University of Denmark (DTU)

      Photovoltaic Systems

      Skills you'll gain: Power Electronics, Plant Operations and Management, Electric Power Systems, Energy and Utilities, Semiconductors, Environmental Engineering, Electrical Engineering, Electronic Components, Physics, Engineering Calculations, Manufacturing Processes, Mathematical Modeling, Product Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      518 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      ISC2

      Access Control Concepts

      Skills you'll gain: Security Controls, Role-Based Access Control (RBAC), Authorization (Computing), Cyber Security Policies, Identity and Access Management, Data Access, Security Awareness, Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Portfolio Selection and Risk Management

      Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Market, Risk Management, Equities, Finance, Return On Investment, Risk Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Decision Making, Quantitative Research, Variance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      608 reviews

      Mixed · Course · 1 - 3 Months

    • S

      SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      881 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Data Modeling, Data Integrity, Dependency Analysis, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      294 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      Ludwig-Maximilians-Universität München (LMU)

      Strategic Organization Design

      Skills you'll gain: Organizational Structure, Organizational Strategy, Organizational Effectiveness, Strategic Thinking, Corporate Strategy, Strategic Leadership, Process Design, Business Strategy, Business Management, Strategic Decision-Making, Strategic Planning, Systems Thinking, Growth Strategies, Decision Making, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      297 reviews

      Mixed · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Data & Finance for the future

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Business Analytics, Regression Analysis, Business Valuation, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Financial Accounting, Cash Flows, Balance Sheet, Income Statement, Competitive Analysis, International Finance, Business Economics, Economics, Market Dynamics, Business Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      447 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics I: Relativity and Cosmology

      Skills you'll gain: Physics, Calculus, Mechanics, Physical Science, Advanced Mathematics, Energy and Utilities, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      154 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Professional IQ: Preventing and Solving Problems at Work

      Skills you'll gain: Active Listening, Influencing, Negotiation, Leadership, Professional Development, Social Skills, Personal Development, Conflict Management, Decision Making, Persuasive Communication, Relationship Building, Business Ethics, Professionalism, Leadership Development, Communication, Strong Work Ethic, Ethical Standards And Conduct, Interpersonal Communications, Empathy, Business Leadership

      4.6
      Rating, 4.6 out of 5 stars
      ·
      124 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Social Media Advertising

      Skills you'll gain: Social Media, Online Advertising, Digital Advertising, Social Media Marketing, Social Media Strategy, Advertising, Advertising Campaigns, Web Analytics, Content Performance Analysis, Facebook, Paid media, Instagram, Marketing Communications, Target Audience, Business Ethics, Brand Awareness, Customer Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      319 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…535455…263

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

    • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
    • Photovoltaic Systems: Technical University of Denmark (DTU)
    • Linear Regression in R for Public Health : Imperial College London
    • Access Control Concepts: ISC2
    • Portfolio Selection and Risk Management: Rice University
    • Getting Started with SAS Visual Analytics : SAS
    • Relational Database Design: University of Colorado Boulder
    • Strategic Organization Design: Ludwig-Maximilians-Universität München (LMU)
    • Data & Finance for the future: Fundação Instituto de Administração
    • Understanding Modern Physics I: Relativity and Cosmology: The Hong Kong University of Science and Technology

    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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