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    • Statistics For Data Science
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    Results for "statistics for data science"

    • Status: Free
      Free

      The Hong Kong University of Science and Technology

      Information Systems Auditing, Controls and Assurance

      Skills you'll gain: Systems Development Life Cycle, Auditing, Information Assurance, Internal Controls, Information Systems Security, Compliance Auditing, Risk Management, Security Controls, Change Management, System Implementation, System Monitoring, Risk Analysis, Risk Mitigation, Software Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Michigan

      Anatomy

      Skills you'll gain: Anatomy, Respiration, Kinesiology, Life Sciences, Vital Signs, Health Systems, Physical Therapy, Medical Terminology, Psychology, Clinical Experience, Structural Analysis, General Medicine

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

      Beginner · Specialization · 3 - 6 Months

    • Google Cloud

      Gemini for Google Workspace

      Skills you'll gain: Storytelling, Google Workspace, Generative AI, Google Sheets, Gmail, Content Creation, Multimedia, Media Production, Data Ethics, Spreadsheet Software, Issue Tracking, Google Docs, Document Management, Data Sharing, Editing, File Management, File Systems, Automation, Technical Communication, Information Privacy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      125 reviews

      Beginner · Specialization · 1 - 3 Months

    • University of Michigan

      Web Applications for Everybody

      Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Application Development, Back-End Web Development, Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Applied Mathematics, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • University at Buffalo

      Blockchain

      Skills you'll gain: Blockchain, Test Driven Development (TDD), Cryptography, Application Development, Transaction Processing, Emerging Technologies, Application Frameworks, Web Development Tools, Software Architecture, Network Protocols, Web Applications, Program Development, Distributed Computing, Application Programming Interface (API), Cloud Platforms, Microsoft Azure, Secure Coding, Software Development, Development Environment, FinTech

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Brand Management, Resource Allocation, Customer Insights, Predictive Analytics, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Systems Design, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Application Deployment, Cloud Management, DevOps, Systems Architecture

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free

      Coursera Project Network

      Create Customer Support Data with Google Sheets

      Skills you'll gain: Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Data Entry, Data Validation, Process Analysis, Organizational Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      397 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Data Processing, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      779 reviews

      Advanced · Course · 1 - 3 Months

    • University of California, Irvine

      Initiating and Planning Projects

      Skills you'll gain: Stakeholder Management, Conflict Management, Project Management, Project Planning, Project Management Life Cycle, Project Documentation, Requirements Management, Project Scoping, Organizational Structure, Influencing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Mixed · Course · 1 - 3 Months

    • Johns Hopkins University

      Introduction to Systematic Review and Meta-Analysis

      Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Research Methodologies, Data Collection, Research Design, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics for data science

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    1…585960…834

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

    • Information Systems Auditing, Controls and Assurance: The Hong Kong University of Science and Technology
    • Anatomy: University of Michigan
    • Gemini for Google Workspace: Google Cloud
    • Web Applications for Everybody: University of Michigan
    • Introduction to Calculus: The University of Sydney
    • Blockchain: University at Buffalo
    • Marketing Analytics: University of Virginia
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Create Customer Support Data with Google Sheets: Coursera Project Network
    • Go Beyond the Numbers: Translate Data into Insights: Google

    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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