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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 Virginia

      Digital Product Management

      Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, Customer Analysis, Innovation, Analytics, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      COVID-19 Contact Tracing

      Skills you'll gain: Interviewing Skills, Rapport Building, Interpersonal Communications, Epidemiology, Healthcare Ethics, Infectious Diseases, Investigation, Public Health, Health Technology, Community Health, Medical Privacy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      95K reviews

      Beginner · Course · 1 - 3 Months

    • F

      Fractal Analytics

      GenAI for Everyone

      Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence, AI Personalization, Organizational Effectiveness, Prompt Engineering, Operational Efficiency, Human Centered Design, Personalized Service, Automation, Ethical Standards And Conduct, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      411 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Health Systems, Data Management, Metadata Management, Data Compilation, Health Care, Analytics, Data Mapping, Healthcare Industry Knowledge, Data Analysis, Data Cleansing, Health Information Management, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      274 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      702 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      English for Journalism

      Skills you'll gain: Journalism, Research, Oral Expression, Interviewing Skills, Vocabulary, Writing, Media and Communications, Grammar, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Proofreading, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 3 Months

    • Y

      Yale University

      Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator

      Skills you'll gain: Negotiation, Contract Negotiation, Conflict Management, Mediation, Leadership, Communication, Persuasive Communication, Influencing, Relationship Building, Game Theory, Strategic Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for Educators

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Creative Problem-Solving, Generative AI, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, Innovation, Brainstorming, OpenAI, Large Language Modeling, Game Design, Data Analysis, Organizational Skills, Education Software and Technology, Computer Vision, Data Storytelling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM IT Support

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Cloud Computing Architecture, Technical Support, Technical Support and Services, Cloud Services, Peripheral Devices, Cybersecurity, Hardware Troubleshooting, IT Service Management, Cloud Security, Cloud Applications, Desktop Support, Network Protocols, Cyber Attacks, Professional Networking, Cloud Storage, Information Technology, Cloud Computing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Cybersecurity & Privacy for Leaders

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Crisis Management, Productivity, Incident Response, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Business Ethics, Information Privacy, Personally Identifiable Information, Cross-Functional Collaboration, Threat Detection, Expense Management, Threat Modeling, Creative Thinking, Cyber Security Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Specialization · 3 - 6 Months

    Statistics For Data Science learners also search

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

    • Digital Product Management: University of Virginia
    • COVID-19 Contact Tracing: Johns Hopkins University
    • GenAI for Everyone: Fractal Analytics
    • Health Information Literacy for Data Analytics: University of California, Davis
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • English for Journalism: University of Pennsylvania
    • Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator: Yale University
    • Prompt Engineering for Educators: Vanderbilt University
    • Project Planning: Putting It All Together: Google
    • Machine Learning for Trading: New York Institute of Finance

    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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