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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

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data Synthesis, Microsoft Excel, Infographics, Data Analysis, Data Cleansing, Data Import/Export, ChatGPT, Statistical Reporting, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      56 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Healthcare Data Security, Privacy, and Compliance

      Skills you'll gain: Medical Privacy, Health Information Management, Security Awareness, Cloud Security, Personally Identifiable Information, Encryption, Health Care, Health Care Procedure and Regulation, Data Security, Cyber Attacks, Cryptography, Health Policy, Information Privacy, Regulatory Compliance, Cloud Computing, Patient Safety

      4.8
      Rating, 4.8 out of 5 stars
      ·
      385 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Digital Marketing Analytics in Theory

      Skills you'll gain: Marketing Analytics, Web Analytics, Marketing Effectiveness, Digital Marketing, Marketing Strategies, Analytics, Marketing, Consumer Behaviour, Data Analysis, Data Visualization Software, Data Collection, Regulatory Compliance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      255 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Marketing Specialist

      Skills you'll gain: Content Marketing, Color Theory, Promotional Strategies, Social Media Content, Target Audience, Typography, Color Matching, Digital Marketing, Marketing Communications, Content Creation, Generative AI, Customer experience strategy (CX), Graphic and Visual Design, Social Media Strategy, Marketing Strategies, Cross-Channel Marketing, Marketing Effectiveness, Prompt Engineering, Adobe Creative Cloud, Data Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      774 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • A

      Amazon Web Services

      AWS Cloud Technical Essentials

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Cloud Security, Serverless Computing, Cloud Storage, Databases, Virtual Private Networks (VPN), Load Balancing, General Networking, Containerization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Doing more with Google Sheets

      Skills you'll gain: Google Sheets, Spreadsheet Software, Pivot Tables And Charts, Google Workspace, Collaborative Software, Data Sharing, Data Presentation, Data Visualization Software, Data Analysis, Data Manipulation, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • B

      Berklee

      The Business of Music Production

      Skills you'll gain: Music, Contract Negotiation, Musical Composition, Intellectual Property, Lawsuits, Peer Review, Music History, Active Listening, Legal Proceedings, Constructive Feedback, Law, Regulation, and Compliance, Ethical Standards And Conduct, Instrumental Music, Legal Strategy, Media Production, Professional Networking, Music Theory, Post-Production, Digital Assets, Business Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

    Statistics For Data Science learners also search

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    1…676869…834

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

    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt University
    • Healthcare Data Security, Privacy, and Compliance: Johns Hopkins University
    • Digital Marketing Analytics in Theory: University of Illinois Urbana-Champaign
    • Sports Performance Analytics: University of Michigan
    • Adobe Marketing Specialist: Adobe
    • AWS Cloud Technical Essentials: Amazon Web Services
    • Statistics and Data Analysis with R: University of Colorado Boulder
    • Doing more with Google Sheets: Google Cloud
    • Introductory C Programming: Duke University
    • Practical Time Series Analysis: The State University of New York

    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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