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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

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology: Relationships

      Skills you'll gain: Student Engagement, Algorithms, Diversity Awareness, Pedagogy, Facebook, Instructional Strategies, Programming Principles, Student-Centred Learning, Teaching, Data Storage, Education and Training, Software Engineering, Geographic Information Systems, Image Analysis, Classroom Management, Lesson Planning, Computer Science, Theoretical Computer Science, Computational Thinking, Computer Graphics

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Communication in Remote Work

      Skills you'll gain: Virtual Teams, Telecommuting, Interpersonal Communications, Trustworthiness, Collaboration, Team Building, Social Skills, Rapport Building, Communication, Teamwork, Relationship Building, Team Leadership, Leadership, Expectation Management

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Sistemas e Tecnologias Digitais nas Organizações

      Skills you'll gain: Digital Transformation, Mobile Banking, Social Media, E-Commerce, Organizational Development, Business Modeling, Business Technologies, Business Communication, Systems Integration, Emerging Technologies, Information Systems, Enterprise Resource Planning, Internet Of Things

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Estrategias efectivas en organizaciones data-driven

      Skills you'll gain: Data Storytelling, Data Visualization, Data Governance, Process Improvement, Data Strategy, Process Mapping, Data-Driven Decision-Making, Performance Improvement, Data Visualization Software, Organizational Leadership, Organizational Effectiveness, Business Leadership, Strategic Decision-Making, Leadership, Change Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Power of Object-Oriented Programming

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Program Development, Python Programming, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Teaching Texts and Forms

      Skills you'll gain: Writing, Writing and Editing, Literacy, Storytelling, Language Competency, Creativity, Persuasive Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Creating Azure Serverless Functions in a Real-World Scenario

      Skills you'll gain: Serverless Computing, Microsoft Azure, Microservices, NoSQL, Cloud Computing Architecture, Front-End Web Development, Cloud Development, Hypertext Markup Language (HTML), Platform As A Service (PaaS), Software Development, Microsoft Visual Studio

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Creating a Business Value with Data and Looker 日本語版

      Skills you'll gain: Looker (Software), Data Strategy, Data Modeling, Digital Transformation, Real Time Data, Dashboard, Data Governance, Google Cloud Platform, Data Management, Analysis, Cloud Storage, Pivot Tables And Charts, Data Transformation, Data Analysis, Data Visualization Software, Data Storage, Big Data, Database Design, Performance Tuning, Exploratory Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Neural Basis of Imagination, Free Will, and Morality

      Skills you'll gain: Creativity, Culture, Liberal Arts, Neurology, Research, Psychology, Social Sciences, Science and Research, Ethical Standards And Conduct, Anthropology, Sociology, Cultural Diversity, Governance

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IESE Business School

      Career Path Essentials

      Skills you'll gain: Professional Development, Professional Networking, Interviewing Skills, Market Trend, LinkedIn, Relationship Building, Goal Setting, Communication Strategies, Presentations, Copywriting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Digital Thinking: Frameworks For Our Digital Reality

      Skills you'll gain: Digital Transformation, Data Ethics, Machine Learning, OpenAI, Social Studies, Artificial Intelligence, Technology Strategies, Computer Science, ChatGPT, Emerging Technologies, Sociology, Technology Roadmaps, Ethical Standards And Conduct, Economics, Policy, and Social Studies, Business Technologies, Automation, Blockchain, Generative AI Agents, Algorithms, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Crea una aplicación web con Vue.js

      Skills you'll gain: Vue.JS, Web Development Tools, Web Applications, Front-End Web Development, HTML and CSS, Javascript, Microsoft Visual Studio, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Statistics For Data Science learners also search

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    1…831832833…834

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

    • Teaching Impacts of Technology: Relationships: University of California San Diego
    • Communication in Remote Work: University of California, Irvine
    • Sistemas e Tecnologias Digitais nas Organizações: Fundação Instituto de Administração
    • Estrategias efectivas en organizaciones data-driven: Banco Interamericano de Desarrollo
    • The Power of Object-Oriented Programming: University of Michigan
    • Teaching Texts and Forms: Johns Hopkins University
    • Creating Azure Serverless Functions in a Real-World Scenario: Coursera Project Network
    • Creating a Business Value with Data and Looker 日本語版: Google Cloud
    • Neural Basis of Imagination, Free Will, and Morality: Dartmouth College
    • Career Path Essentials: IESE Business School

    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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