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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

    • I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Large Language Modeling, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      Meta iOS Developer

      Skills you'll gain: React Native, iOS Development, Core Data (Software), Restful API, Version Control, Apple iOS, UI/UX Research, Usability Testing, Apple Xcode, Data Structures, Swift Programming, Jest (JavaScript Testing Framework), User Interface (UI), Unix Commands, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, Mobile Development

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      ChatGPT + Zapier: AI-Powered Email Mastery

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Microsoft Power Automate/Flow, Calendar Management, Organizational Skills, Gmail, Generative AI, Artificial Intelligence, Large Language Modeling, HubSpot CRM, Business Process Automation, Google Sheets, Google Workspace, Data Integration, Automation, Creative Thinking, Ingenuity, Google Docs, Workflow Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Michigan

      Successful Negotiation: Essential Strategies and Skills

      Skills you'll gain: Negotiation, Contract Negotiation, Conflict Management, Mediation, Sales Strategy, Arbitration, Communication, Influencing, Planning, Decision Making, Ethical Standards And Conduct, Cultural Diversity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Assess for Success: Marketing Analytics and Measurement

      Skills you'll gain: Media Planning, A/B Testing, Marketing Budgets, Key Performance Indicators (KPIs), Marketing Analytics, Marketing Effectiveness, Performance Measurement, Data Visualization, Google Analytics, Google Ads, Return On Investment, Spreadsheet Software, Data Presentation, Web Analytics, Online Advertising, Digital Marketing, Pivot Tables And Charts, Stakeholder Communications, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Back-end JavaScript Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Containerization, Kubernetes, Server Side, MongoDB, Application Deployment, Cloud-Native Computing, NoSQL, Restful API, OpenShift, Git (Version Control System), Cloud Applications, GitHub, Serverless Computing, Back-End Web Development, HTML and CSS, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      System Administration and IT Infrastructure Services

      Skills you'll gain: Systems Administration, Cloud Infrastructure, IT Infrastructure, Lightweight Directory Access Protocols, Active Directory, Disaster Recovery, Server Administration, Data Storage Technologies, Cloud Computing, Servers, System Configuration, Technical Support and Services, Virtualization, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Project Management & Other Tools for Career Development

      Skills you'll gain: Business Writing, Negotiation, Stakeholder Management, Project Performance, Business Correspondence, Creative Problem-Solving, Problem Solving, Conflict Management, Concision, Project Risk Management, Editing, Decision Making, Change Control, Grammar, Project Management, Creativity, Organizational Effectiveness, Project Planning, Emotional Intelligence, Relationship Building

      4.7
      Rating, 4.7 out of 5 stars
      ·
      37K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      W

      West Virginia University

      Forensic Accounting and Fraud Examination

      Skills you'll gain: Auditing, Loss Prevention, Internal Controls, Financial Controls, Threat Detection, Anomaly Detection, Financial Auditing, Cybersecurity, Financial Data, Cyber Operations, Investigation, Criminal Investigation and Forensics, Analytics, Specialized Accounting, Cyber Attacks, Security Awareness, Big Data, Accounting, Business Ethics, Compliance Reporting

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

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Project Planning: Putting It All Together

      Skills you'll gain: Project Management, Project Planning, Communication Planning, Project Documentation, Milestones (Project Management), Project Schedules, Risk Management, Cost Management, Budgeting, Estimation, Timelines, Procurement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Spanish Vocabulary: Meeting People

      Skills you'll gain: Spanish Language, Grammar, Language Learning, Vocabulary, Oral Expression, Oral Comprehension, Literacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Generative AI: Prompt Engineering Basics: IBM
    • Meta iOS Developer: Meta
    • ChatGPT + Zapier: AI-Powered Email Mastery: Vanderbilt University
    • Successful Negotiation: Essential Strategies and Skills: University of Michigan
    • Assess for Success: Marketing Analytics and Measurement: Google
    • IBM Back-end JavaScript Developer: IBM
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • System Administration and IT Infrastructure Services: Google
    • Project Management & Other Tools for Career Development: University of California, Irvine
    • Forensic Accounting and Fraud Examination: West Virginia University

    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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