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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

    • U

      University of Colorado Boulder

      Effective Communication: Writing, Design, and Presentation

      Skills you'll gain: Business Writing, Presentations, Peer Review, Graphic Design, Graphic and Visual Design, Business Correspondence, Public Speaking, Business Communication, Graphic and Visual Design Software, Verbal Communication Skills, Design, Visual Design, Storytelling, Writing, Organizational Skills, Project Design, Concision, Writing and Editing, Proofreading, Drive Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      S.P. Jain Institute of Management and Research

      Data Analysis

      Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Business Mathematics, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • I

      Intuit

      Bookkeeping Basics

      Skills you'll gain: Bookkeeping, QuickBooks (Accounting Software), Financial Statements, Ledgers (Accounting), Accounting, Accounting Records, Balance Sheet, Income Statement, General Ledger, Ethical Standards And Conduct, Cash Flows

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Drug Development Product Management

      Skills you'll gain: Clinical Trials, Pharmaceuticals, Clinical Research, Commercialization, Pharmacotherapy, Pharmacology, Regulatory Affairs, Intellectual Property, Portfolio Management, New Product Development, Medical Science and Research, Strategic Partnership, Product Marketing, Go To Market Strategy, Health Care Procedure and Regulation, Business Strategy, Marketing Strategies, Market Dynamics, Molecular Biology, Business Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IESE Business School

      Foundations of Management

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Income Statement, Organizational Leadership, Organizational Change, Product Management, Accounting, Team Motivation, Cash Flows, Operational Analysis, People Management, Financial Accounting, Marketing, Brand Management, Brand Strategy, Balance Sheet, Financial Analysis, Business Analysis, Business, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Dog Emotion and Cognition

      Skills you'll gain: Psychology, Learning Theory, Training Programs, Anthropology, Social Sciences, Experimentation, Research, Scientific Methods, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      R

      Rice University

      Spanish for Successful Communication in Healthcare Settings

      Skills you'll gain: Spanish Language, Cultural Responsiveness, Patient Education And Counseling, Medical Terminology, Language Competency, Vocabulary, Oral Comprehension, Grammar, Socioeconomics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Fundamentals of Project Planning and Management

      Skills you'll gain: Project Planning, Earned Value Management, Stakeholder Management, Risk Management, Project Management, Project Scoping, Milestones (Project Management), Project Schedules, Dependency Analysis, Agile Methodology, Kanban Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Università Bocconi

      Management of Fashion and Luxury Companies

      Skills you'll gain: Retail Store Operations, Brand Management, Digital Media Strategy, Global Marketing, Financial Reporting, Communication Strategies, Market Opportunities, Marketing Management, Business Modeling, Business Strategy, Customer experience strategy (CX), E-Commerce, Consumer Behaviour, Storytelling, Market Trend, Product Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Collaborate Effectively for Professional Success

      Skills you'll gain: Collaboration, Teamwork, Virtual Teams, Cross-Functional Collaboration, Team Management, Meeting Facilitation, Leadership, Communication, Cultural Diversity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      708 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Effective Communication: Writing, Design, and Presentation: University of Colorado Boulder
    • Data Analysis: S.P. Jain Institute of Management and Research
    • Bookkeeping Basics: Intuit
    • Drug Development Product Management: University of California San Diego
    • Foundations of Management: IESE Business School
    • Dog Emotion and Cognition: Duke University
    • Spanish for Successful Communication in Healthcare Settings: Rice University
    • Introduction to Mathematical Thinking: Stanford University
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Fundamentals of Project Planning and Management: University of Virginia

    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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