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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • R

      Rice University

      Business Finance and Data Analysis Fundamentals

      Skills you'll gain: Capital Budgeting, Cash Flows, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Financial Analysis, Finance, Data Visualization, Probability, Statistics, Business Valuation, Financial Statement Analysis, Business Mathematics, Accounting, Return On Investment, General Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Oil & Gas Industry Operations and Markets

      Skills you'll gain: Market Dynamics, Energy and Utilities, Operating Cost, Transportation Operations, Production Process, Supply Chain, Market Data, Market Trend, Cost Estimation, Global Marketing, Market Analysis, International Finance, Natural Resource Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Grammar and Punctuation

      Skills you'll gain: Grammar, Writing, Proofreading, Editing, Peer Review, English Language

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Medical Neuroscience

      Skills you'll gain: Neurology, Anatomy, Medical Science and Research, Psychology, Pathology, Molecular Biology, Biology, Pharmacology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free
      Free
      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

    • 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 Procedure and Regulation, Health Care, Healthcare Industry Knowledge, Operational Efficiency

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Cape Town

      Research for Impact

      Skills you'll gain: Strategic Communication, Stakeholder Engagement, Influencing, Research, Strategic Partnership, Program Evaluation, Community Development, Policy Analysis, Change Management, Systems Thinking, Complex Problem Solving, Capacity Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Vital Signs: Understanding What the Body Is Telling Us

      Skills you'll gain: Vital Signs, Respiration, Pulmonology, Health Assessment, Cardiology, Systems Of Measurement, Neurology, Patient Evaluation, Anatomy, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Alberta

      Software Product Management

      Skills you'll gain: Requirements Analysis, Agile Software Development, Agile Methodology, Kanban Principles, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Code Review, Software Development, Product Requirements, Risk Management Framework, User Story

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Amazon

      Data Structures and Algorithms

      Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Programming Principles, Debugging, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Automate Cybersecurity Tasks with Python

      Skills you'll gain: Debugging, Python Programming, Cybersecurity, Cyber Security Assessment, Scripting, Programming Principles, Algorithms, Automation, Integrated Development Environments, File Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Anatomy

      Skills you'll gain: Anatomy, Pulmonology, Cardiology, Respiration, Gynecology, Obstetrics And Gynecology, Orthopedics, Neurology, Urology, Kinesiology, Medical Imaging, Vital Signs, General Medicine, Biology, Medical Terminology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular statistics for data science courses

    • Business Finance and Data Analysis Fundamentals: Rice University
    • Oil & Gas Industry Operations and Markets : Duke University
    • Grammar and Punctuation: University of California, Irvine
    • Medical Neuroscience: Duke University
    • Social Impact Strategy: Tools for Entrepreneurs and Innovators: University of Pennsylvania
    • The Business of Health Care: University of Pennsylvania
    • Research for Impact: University of Cape Town
    • Vital Signs: Understanding What the Body Is Telling Us: University of Pennsylvania
    • Software Product Management: University of Alberta
    • Data Structures and Algorithms: Amazon

    Frequently Asked Questions about Statistics For Data Science

    Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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