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    Results for "advanced statistics"

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      U

      University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Geneva

      Portfolio and Risk Management

      Skills you'll gain: Portfolio Management, Risk Management, Business Risk Management, Investment Management, Risk Analysis, Investments, Asset Management, Wealth Management, Financial Market, Finance, Probability Distribution, Market Dynamics, Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Electronic Components, Electrical Systems, Differential Equations, Physics, Engineering Analysis, Integral Calculus, Applied Mathematics, Advanced Mathematics, Scientific Visualization, Engineering Calculations, Calculus, Electronic Systems, Mechanics, Electronics, Energy and Utilities, Mathematical Modeling, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      949 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
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      I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Presentation, Data Analysis, Web Scraping, Data Storytelling, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

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      Free Trial
      I

      Imperial College London

      Epidemiology for Public Health

      Skills you'll gain: Epidemiology, Clinical Trials, Research Design, Clinical Research, Public Health, Preventative Care, Data Collection, Biostatistics, Research Methodologies, Program Evaluation, Research, General Medical Tests and Procedures, Probability & Statistics, Risk Analysis, Quantitative Research, Health Policy, Correlation Analysis, Science and Research, Statistical Methods, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 1 - 3 Months

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      Free Trial
      T

      Tsinghua University

      Learn English

      Skills you'll gain: Intercultural Competence, Cultural Diversity, Mental Health, Learning Strategies, Culture, Stress Management, Liberal Arts, English Language, Social Sciences, Literacy, Language Learning, Economics, Interpersonal Communications, Psychology, Writing, Research, Business Management, Grammar, Higher Education, Oral Comprehension

      4.3
      Rating, 4.3 out of 5 stars
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      933 reviews

      Beginner · Specialization · 3 - 6 Months

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      U

      University of London

      Responsive Website Development and Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, jQuery, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Usability, User Experience Design, User Accounts, MongoDB, User Interface and User Experience (UI/UX) Design, Web Design and Development, Wireframing, Persona (User Experience), Web Applications, Full-Stack Web Development, Interactive Data Visualization, JavaScript Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Classification And Regression Tree (CART), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      547 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      Social Impact Strategy: Tools for Entrepreneurs and Innovators

      Skills you'll gain: Design Thinking, Performance Measurement, Innovation, Entrepreneurship, Business Modeling, Project Performance, Strategic Thinking, Project Design, Organizational Structure, Needs Assessment, Growth Strategies, Market Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

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      Free Trial
      D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Mathematical Modeling, Exploratory Data Analysis, Predictive Modeling

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

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Biochemical Principles of Energy Metabolism

      Skills you'll gain: Biochemistry, Respiration, Pathology, Biology, Life Sciences, Nutrition and Diet, Chronic Diseases, Molecular Biology, Clinical Nutrition, Internal Medicine, Oncology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      814 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…262728…268

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

    • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
    • Portfolio and Risk Management: University of Geneva
    • Electrodynamics: Korea Advanced Institute of Science and Technology(KAIST)
    • IBM Data Analyst Capstone Project: IBM
    • Epidemiology for Public Health: Imperial College London
    • Learn English: Tsinghua University
    • Responsive Website Development and Design: University of London
    • Mindware: Critical Thinking for the Information Age : University of Michigan
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Social Impact Strategy: Tools for Entrepreneurs and Innovators: University of Pennsylvania

    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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