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    Results for "advanced statistics"

    • D

      Dartmouth College

      Population, Food, and Soil

      Skills you'll gain: Demography, Environment, Environment and Resource Management, Environmental Science, Land Management, Environmental Issue, Nutrition and Diet, Nutrition Education, Natural Resource Management, Social Studies, Water Resources, Human Development, Physical Science, Biology, Cultural Diversity, Trend Analysis, Economic Development, Estimation, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      CompTIA Network+ Certification (N10-008): The Total Course

      Skills you'll gain: Routing Protocols, TCP/IP, Network Monitoring, Network Switches, Data Centers, OSI Models, Network Routers, Network Security, Wireless Networks, Virtual Local Area Network (VLAN), Wide Area Networks, Network Troubleshooting, General Networking, Network Routing, Virtual Machines, Network Infrastructure, Network Administration, Network Model, Network Protocols, Networking Hardware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      V

      Vanderbilt University

      Chat with Your Data: Generative AI-Powered SQL Data Analysis

      Skills you'll gain: SQL, Generative AI, Data Visualization, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases

      5
      Rating, 5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Essentials

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Spreadsheet Software, Box Plots, Probability Distribution, Statistical Visualization, Histogram

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Cloud Architecture Design Patterns

      Skills you'll gain: Cloud Computing Architecture, Cloud Infrastructure, Scalability, Cloud Computing, Software Architecture, Cloud Services, Infrastructure As A Service (IaaS), Load Balancing, Serverless Computing, Software Design Patterns, Microservices, Event-Driven Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Scrimba

      Learn Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Programming Principles, User Interface (UI), Scripting, Performance Tuning, Scripting Languages, File Management, Computer Programming, Computational Thinking, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)

      Skills you'll gain: SPSS, Social Sciences, Statistical Modeling, Quantitative Research, Statistical Methods, Statistical Analysis, Correlation Analysis, Data Analysis Software, Sociology, Mathematical Modeling, Regression Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      93 reviews

      Mixed · Course · 3 - 6 Months

    • E

      EDUCBA

      Splunk Administration and Advanced Topics

      Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, User Accounts, Security Information and Event Management (SIEM), Machine Learning, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Correlation Analysis, Data Analysis, Authentications, Data Collection, Configuration Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Advanced · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      Basics of Air Conditioning & Heat Load Calculation

      Skills you'll gain: HVAC, Building Services Engineering, Thermal Management, Mechanical Engineering, Engineering Calculations, Energy and Utilities, Estimation, Environmental Issue

      4.2
      Rating, 4.2 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Pseudocode, Graph Theory, Theoretical Computer Science, Computer Science, Combinatorics, Design Strategies, Debugging, Probability

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Sustainability for Business

      Skills you'll gain: Corporate Sustainability, Stakeholder Engagement, Environmental Social And Corporate Governance (ESG), Sustainability Reporting, Performance Measurement, Strategic Partnership, Systems Thinking, Procurement, Business Operations, Strategic Communication, Culture Transformation, Business Strategy, Business Transformation, Business Ethics, Strategic Leadership, Goal Setting, Compliance Management, Community Development, Business Strategies, Communication Strategies

      4
      Rating, 4 out of 5 stars
      ·
      10 reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…103104105…265

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

    • Population, Food, and Soil: Dartmouth College
    • CompTIA Network+ Certification (N10-008): The Total Course: Packt
    • Chat with Your Data: Generative AI-Powered SQL Data Analysis: Vanderbilt University
    • Excel Skills for Statistics and Data Analysis: Essentials: Macquarie University
    • Cloud Architecture Design Patterns: Coursera Instructor Network
    • Learn Python: Scrimba
    • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong
    • Splunk Administration and Advanced Topics: EDUCBA
    • Basics of Air Conditioning & Heat Load Calculation: L&T EduTech
    • Design and Analysis of Algorithms: Clemson University

    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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