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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
      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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Workflow Management, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Process Optimization, ChatGPT, Productivity Software, Workforce Development, Strategic Thinking, Security Awareness, Diversity Awareness, Risk Management Framework, Digital Transformation, Innovation, Technical Writing, Emerging Technologies, Machine Learning Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Agile Project Management

      Skills you'll gain: Agile Project Management, Backlogs, Agile Methodology, User Story, Sprint Planning, Agile Product Development, Product Roadmaps, Sprint Retrospectives, Kanban Principles, Team Management, Organizational Change, Prioritization

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      430 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Presentation, Data Literacy, Data Synthesis, Data Visualization Software, Google Sheets, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      401 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Visualization with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      262 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      I

      Intuit

      Intuit Academy Bookkeeping

      Skills you'll gain: Reconciliation, Financial Statements, Financial Statement Analysis, Inventory Accounting, Payroll, Bookkeeping, QuickBooks (Accounting Software), Payroll Administration, Inventory Control, Payroll Processing, Income Statement, Balance Sheet, Depreciation, Fixed Asset, Payroll Tax, Property Accounting, Financial Analysis, Sales Tax, Ledgers (Accounting), Accounting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Management

      Skills you'll gain: Strategic Sourcing, Lean Six Sigma, Lean Manufacturing, Demand Planning, Procurement, Supplier Relationship Management, Forecasting, Process Improvement, Supplier Management, Operations Management, Customer Demand Planning, Purchasing, Production Process, Supply Management, Operational Efficiency, Warehouse Management, Supply Chain Planning, Inventory and Warehousing, Inventory Management System, Transportation, Supply Chain, and Logistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Work Smarter, Not Harder: Time Management for Personal & Professional Productivity

      Skills you'll gain: Time Management, Planning, Delegation Skills, Productivity, Organizational Skills, Multitasking, Resource Management, Prioritization, Personal Development, Goal Setting, Professional Development, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      JavaScript for Beginners

      Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, Web Development Tools, JavaScript Frameworks, Web Applications, Web Design and Development, Event-Driven Programming, Game Design, Application Programming Interface (API), Object Oriented Programming (OOP), Animations, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    Statistics For Data Science learners also search

    Statistics for Data Analysis
    Statistics
    R Statistics
    Python for Statistics
    Data Modeling
    Applied Statistics
    Beginner Statistics
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    1…394041…834

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

    • System Administration and IT Infrastructure Services: Google
    • Google AI Essentials: Google
    • Agile Project Management: Google
    • ChatGPT + Zapier: AI-Powered Email Mastery: Vanderbilt University
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Overview of Data Visualization: Coursera Project Network
    • Data Visualization with R: IBM
    • IBM Introduction to Machine Learning: IBM
    • Intuit Academy Bookkeeping: Intuit
    • Supply Chain Management: Rutgers the State University of New Jersey

    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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