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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: New
      New
      V

      Vanderbilt University

      Generative AI and ChatGPT for K-12 Educators

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Creative Problem-Solving, Generative AI, AI Personalization, Creative Thinking, Artificial Intelligence, Innovation, Brainstorming, Large Language Modeling, Game Design, Creativity, Education Software and Technology, Technical Communication, Ingenuity, Resourcefulness, Interactive Design, Problem Solving, Critical Thinking

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

      Beginner · Specialization · 1 - 3 Months

    • V

      Vanderbilt University

      ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

      Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Generative AI, Agentic systems, Productivity, AI Personalization, OpenAI, Expense Management, Artificial Intelligence, Personalized Service, Expense Reports, Large Language Modeling, Workflow Management, Google Workspace, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Business Process Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Microsoft 365 Fundamentals

      Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Productivity Software, Collaborative Software, Data Import/Export, Microsoft Windows, Proofreading, Editing, Document Management, Technical Documentation, Writing, Data Entry, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM iOS and Android Mobile App Developer

      Skills you'll gain: React Native, Software Development Life Cycle, iOS Development, Flutter (Software), Swift Programming, Apple Xcode, Mobile Development, Android Studio, User Centered Design, Android Development, Apple iOS, React Redux, Git (Version Control System), GitHub, Mobile Development Tools, React.js, Android (Operating System), HTML and CSS, AI Personalization, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      IT Security: Defense against the digital dark arts

      Skills you'll gain: Network Security, Information Systems Security, Cybersecurity, Application Security, Encryption, Security Controls, Cyber Attacks, Security Awareness, Data Security, Cryptography, Threat Modeling, Security Management, Network Administration, Computer Security Awareness Training, Information Assurance, Wireless Networks, Hardening, Firewall, Malware Protection, Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Inferential Statistical Analysis with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Jupyter, Python Programming, Matplotlib, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      918 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      V

      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Productivity, Java, Agentic systems, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Software Design, Creative Thinking, Ingenuity, Brainstorming, Software Architecture, Software Development Tools, Secure Coding, Application Development, Business Logic, Systems Integration

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

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Cloud-Native Computing, Software Development Life Cycle, Database Design, Hibernate (Java), Docker (Software), Containerization, Git (Version Control System), GitHub, Microservices, HTML and CSS, Front-End Web Development, Object Oriented Programming (OOP), Stored Procedure, Spring Boot, Object-Relational Mapping, Development Environment, Large Language Modeling, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      S

      Sciences Po

      Politics and Economics of International Energy

      Skills you'll gain: Energy and Utilities, International Relations, Economic Development, Natural Resource Management, Environmental Policy, Economics, Political Sciences, Market Dynamics, Environment, Supply And Demand, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Dimensionality Reduction, Regression Analysis, Statistical Inference, Machine Learning Algorithms, Data Processing, Machine Learning, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning, Data Cleansing, Data Manipulation, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Drones for Environmental Science

      Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environmental Laws, Data Ethics, Environmental Science, Geospatial Information and Technology, Ethical Standards And Conduct, Global Positioning Systems, Research, Image Analysis, Data Collection

      4.9
      Rating, 4.9 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    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

    • Generative AI and ChatGPT for K-12 Educators: Vanderbilt University
    • ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier: Vanderbilt University
    • Microsoft 365 Fundamentals: Microsoft
    • IBM iOS and Android Mobile App Developer: IBM
    • IT Security: Defense against the digital dark arts : Google
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Inferential Statistical Analysis with Python: University of Michigan
    • AI Agents in Java with Generative AI: Vanderbilt University
    • IBM Java Developer: IBM
    • Politics and Economics of International Energy: Sciences Po

    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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