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    Results for "advanced statistics"

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Pennsylvania

      Social Norms, Social Change II

      Skills you'll gain: Public Policies, Policy Analysis, Social Sciences, Sociology, Community Development, Behavioral Economics, Cultural Diversity, Trend Analysis, Psychology, Media and Communications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      444 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      ISC2

      Security Operations

      Skills you'll gain: Configuration Management, Cybersecurity, Computer Security Awareness Training, Data Security, Security Controls, Security Management, Event Monitoring, Encryption, Network Security, Continuous Monitoring, Cyber Security Policies, Security Strategy, System Monitoring, General Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      154 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Advanced Business Analytics Capstone

      Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Predictive Modeling, Business Analytics, Analytics, Financial Analysis, Advanced Analytics, Data Analysis, Technical Communication, Data Processing, Data Manipulation, Statistical Modeling, Regression Analysis, Business Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      CISSP Certified Information Systems Security Professional

      Skills you'll gain: Identity and Access Management, IT Security Architecture, Authentications, Business Continuity Planning, Continuous Monitoring, Security Controls, Secure Coding, Security Testing, Cryptography, Disaster Recovery, Vulnerability Assessments, Cyber Security Assessment, Incident Response, Application Security, Incident Management, Security Engineering, Data Security, Network Security, OSI Models, Data Loss Prevention

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Test and Behavior Driven Development

      Skills you'll gain: Test Driven Development (TDD), Gherkin (Scripting Language), Code Coverage, Behavior-Driven Development, Software Testing, Unit Testing, Test Automation, Test Case, Test Data, Integration Testing, Restful API, Microservices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      229 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      New York Institute of Finance

      Market Risk Management: Frameworks & Strategies

      Skills you'll gain: Risk Management, Risk Modeling, Financial Market, Derivatives, Investment Management, Portfolio Management, Risk Analysis, Market Data, Equities, Asset Management, Capital Markets, Estimation, Financial Modeling, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      167 reviews

      Beginner · Course · 1 - 3 Months

    • A

      Arizona State University

      Additive Manufacturing

      Skills you'll gain: Manufacturing Processes, Schematic Diagrams, Engineering Design Process, Computer-Aided Design, Production Process, Design Specifications, Design Strategies, Prototyping, Mechanical Engineering, Process Engineering, 3D Modeling, Manufacturing Operations, Design, Industrial Design, Equipment Design, Experimentation, Laboratory Experience, Manufacturing and Production, Process Analysis, Process Control

      4.8
      Rating, 4.8 out of 5 stars
      ·
      163 reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Splunk Inc.

      Splunk Search Expert

      Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Data Wrangling, Performance Tuning, Statistical Methods, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Exploratory Data Analysis, Transaction Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Beginner · Specialization · 3 - 6 Months

    • Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Business Research, Market Research, Research Design, Sample Size Determination, Survey Creation, Interviewing Skills, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      363 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Advanced Instructional Strategies in the Virtual Classroom

      Skills you'll gain: Parent Communication, Student Engagement, Student Support and Services, Teaching, Instructional Strategies, Curriculum Planning, Pedagogy, Learning Management Systems, Community Development, Instructional Design, Classroom Management, Virtual Teams, Education Software and Technology, Motivational Skills, Differentiated Instruction, Blended Learning, Relationship Building, Communication Strategies, Constructive Feedback, Content Creation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      574 reviews

      Mixed · Course · 1 - 3 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
    statistical analysis and advanced techniques
    advanced linear models for data science 2: statistical linear models
    1…565758…263

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

    • Fundamentals of Machine Learning in Finance: New York University
    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • Social Norms, Social Change II: University of Pennsylvania
    • Security Operations: ISC2
    • Advanced Business Analytics Capstone: University of Colorado Boulder
    • CISSP Certified Information Systems Security Professional: Packt
    • Introduction to Test and Behavior Driven Development: IBM
    • Market Risk Management: Frameworks & Strategies: New York Institute of Finance
    • Additive Manufacturing: Arizona State University
    • Splunk Search Expert: Splunk Inc.

    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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