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    Results for "statistics for data science"

    • Google

      Google AI Essentials

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving

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

      Beginner · Course · 1 - 3 Months

    • University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Graph Theory, Computer Programming, C++ (Programming Language), Java, Theoretical Computer Science, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • IBM

      IBM Generative AI for Cybersecurity Professionals

      Skills you'll gain: ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), OpenAI, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Artificial Intelligence, Natural Language Processing, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Vulnerability Management, Software Development Tools, Augmented and Virtual Reality (AR/VR), Deep Learning, Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Vanderbilt University

      ChatGPT for Project Management - Leveraging AI for Success

      Skills you'll gain: ChatGPT, Project Planning, Generative AI, Risk Analysis, Milestones (Project Management), Timelines, Project Risk Management, Project Management, Artificial Intelligence, Organizational Skills, Project Implementation, Project Coordination, Project Documentation, Taking Meeting Minutes, Project Schedules, Work Breakdown Structure, Business Metrics, Creative Thinking, Creativity, Natural Language Processing

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

      Beginner · Specialization · 1 - 3 Months

    • Tableau Learning Partner

      Tableau Business Intelligence Analyst

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Ad Hoc Reporting, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Statistical Visualization, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Data Quality, Data Management, Descriptive Statistics, Interactive Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      936 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Access, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      33K reviews

      Beginner · Specialization · 1 - 3 Months

    • Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      631 reviews

      Advanced · Course · 1 - 4 Weeks

    • IBM

      Generative AI for Software Developers

      Skills you'll gain: ChatGPT, Generative AI, OpenAI, CI/CD, Software Development, Software Development Life Cycle, DevSecOps, Data Ethics, Natural Language Processing, Prototyping, Software Architecture, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Software Testing, Software Development Tools, Augmented and Virtual Reality (AR/VR), Debugging, Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Machine Learning Algorithms

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Application Development, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics for data science

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    1…151617…834

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

    • Google AI Essentials: Google
    • Data Structures: University of California San Diego
    • IBM Generative AI for Cybersecurity Professionals: IBM
    • ChatGPT for Project Management - Leveraging AI for Success: Vanderbilt University
    • Tableau Business Intelligence Analyst: Tableau Learning Partner
    • Introduction to Data Analysis Using Excel: Rice University
    • Machine Learning: DeepLearning.AI
    • The Path to Insights: Data Models and Pipelines: Google
    • Generative AI for Software Developers: IBM
    • Deep Learning: DeepLearning.AI

    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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