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    Results for "statistics for data science"

    • Duke University

      Java Programming: Solving Problems with Software

      Skills you'll gain: Debugging, Java, Algorithms, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Web Scraping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 3 Months

    • University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability, Probability Distribution, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • IBM

      Collaborate Effectively for Professional Success

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      672 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Forecasting, Probability, Linear Algebra, Peer Review

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Meta

      Introduction to Front-End Development

      Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), Hypertext Markup Language (HTML), Web Design and Development, Web Development, Web Applications, Cascading Style Sheets (CSS), React.js, Javascript

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: SQL, Database Design, Database Management Systems, NoSQL, Data Warehousing, Database Theory, Relational Databases, Database Management, Database Architecture and Administration, Query Languages, Databases, Data Modeling, Data Analysis, MongoDB, Big Data, Apache Cassandra, Data Integrity, Data Manipulation, Data Processing, Transaction Processing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      Put It to Work: Prepare for Cybersecurity Jobs

      Skills you'll gain: Stakeholder Communications, Incident Response, Stakeholder Engagement, Computer Security Incident Management, Data Ethics, Cybersecurity, Security Awareness, Incident Management, Data Security, Communication, Asset Protection, Ethical Standards And Conduct, Business Ethics, Interviewing Skills, Professional Networking

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

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      University at Buffalo

      ADHD: Everyday Strategies for Elementary Students

      Skills you'll gain: Classroom Management, Teaching, Instructional Strategies, Parent Communication, Behavior Management, Positive Behavior Support, Mental and Behavioral Health Specialties, Pediatrics, Treatment Planning, Disabilities, Educational Materials, Psychology

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

      Beginner · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills

      Microsoft

      Microsoft Cybersecurity Analyst

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Penetration Testing, Azure Active Directory, Network Security, Computer Systems, Security Information and Event Management (SIEM), Security Testing, Encryption, Cybersecurity, Cyber Security Strategy, System Testing, Cloud Security, Threat Management, Cloud Computing, Business Software, Cyber Attacks, Authentications, Active Directory, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free

      University of Toronto

      Introduction to Psychology

      Skills you'll gain: Psychology, Human Learning, Human Development, Learning Theory, Mental Health, Culture, Behavior Management, Social Sciences, Scientific Methods, Creativity, Experimentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 3 Months

    • Google

      Foundations of Business Intelligence

      Skills you'll gain: Business Intelligence, Data Integration, Stakeholder Engagement, Dashboard, Data Modeling, Business Analytics, Real Time Data, Requirements Elicitation, Data Storytelling, Data Analysis, Business Metrics, Key Performance Indicators (KPIs), Data Pipelines, Project Implementation

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

      Advanced · Course · 1 - 4 Weeks

    • Coursera Project Network

      Excel for Beginners: Introduction to Spreadsheets

      Skills you'll gain: Spreadsheet Software, Data Entry, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      187 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics for data science

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    1…565758…834

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

    • Java Programming: Solving Problems with Software: Duke University
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Collaborate Effectively for Professional Success: IBM
    • Econometrics: Methods and Applications: Erasmus University Rotterdam
    • Introduction to Front-End Development: Meta
    • Databases for Data Scientists: University of Colorado Boulder
    • Put It to Work: Prepare for Cybersecurity Jobs: Google
    • ADHD: Everyday Strategies for Elementary Students: University at Buffalo
    • Microsoft Cybersecurity Analyst: Microsoft
    • Introduction to Psychology: University of Toronto

    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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