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    Results for "advanced statistics"

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      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Meta

      Meta Data Analyst

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      Free Trial
      U

      University of Pennsylvania

      Introduction to Spreadsheets and Models

      Skills you'll gain: Regression Analysis, Spreadsheet Software, Google Sheets, Financial Modeling, Microsoft Excel, Data Modeling, Forecasting, Risk Analysis, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The State University of New York

      Advanced Information Literacy

      Skills you'll gain: Information Management, Research, Literacy, Lifelong Learning, Investigation, Critical Thinking, Intellectual Property, Planning, Journals, Style Guides

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      The Business of Health Care

      Skills you'll gain: People Management, Financial Reporting, Health Disparities, Financial Statements, Health Care Administration, Health Systems, Income Statement, Employee Performance Management, Financial Analysis, Leadership and Management, Decision Making, Organizational Change, Organizational Structure, Lean Methodologies, Risk Analysis, Cash Flows, Health Care, Healthcare Industry Knowledge, Operational Efficiency, Health Policy

      4.6
      Rating, 4.6 out of 5 stars
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      1.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universiteit Leiden

      Terrorism and Counterterrorism: Comparing Theory and Practice

      Skills you'll gain: Public Safety and National Security, Research, Research Methodologies, Policy Analysis, Media and Communications, Social Studies, World History, International Relations, Political Sciences, Public Policies, Trend Analysis, Psychology

      4.8
      Rating, 4.8 out of 5 stars
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      3.2K reviews

      Beginner · Course · 1 - 3 Months

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      Free Trial
      U

      University of Illinois Urbana-Champaign

      Managerial Economics and Business Analysis

      Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Statistical Inference, Business Analytics, Financial Systems, Financial Policy, Banking, Probability Distribution, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Statistics, Regression Analysis, Microsoft Excel, Economics, Financial Market, Business Economics, Risk Management

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      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

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      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, X-Ray Computed Tomography, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
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      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
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      Google

      Make the Sale: Build, Launch, and Manage E-commerce Stores

      Skills you'll gain: Order Fulfillment, E-Commerce, Order Processing, Campaign Management, Digital Advertising, Google Ads, Retail Management, Customer Engagement, Marketing Strategies, Market Research, Web Analytics, Trend Analysis, Customer experience strategy (CX), Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

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      Free Trial
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      SAS

      SAS Programmer

      Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Consolidation, Data Transformation, Requirements Analysis, Exploratory Data Analysis, Data Validation, Statistical Programming, Statistical Analysis, Data Processing, SQL, Data Presentation, Data Cleansing, Descriptive Statistics, Debugging

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      4.8
      Rating, 4.8 out of 5 stars
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      3.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      École Polytechnique

      Comprendre la France, Advanced French Language & Culture

      Skills you'll gain: Oral Expression, Oral Comprehension, Writing, Vocabulary, Language Learning, Grammar, Culture, Political Sciences, Cultural Diversity, European History, Art History, World History, Science and Research, Social Sciences

      4.9
      Rating, 4.9 out of 5 stars
      ·
      124 reviews

      Advanced · Course · 1 - 3 Months

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      Free Trial
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      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…151617…267

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

    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Meta Data Analyst: Meta
    • Introduction to Spreadsheets and Models: University of Pennsylvania
    • Advanced Information Literacy: The State University of New York
    • The Business of Health Care: University of Pennsylvania
    • Terrorism and Counterterrorism: Comparing Theory and Practice: Universiteit Leiden
    • Managerial Economics and Business Analysis: University of Illinois Urbana-Champaign
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Make the Sale: Build, Launch, and Manage E-commerce Stores: Google
    • SAS Programmer: SAS

    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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