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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
      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
      U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Materials Science

      Skills you'll gain: Chemical Engineering, Chemistry, Engineering, Mechanical Engineering, Physical Science, Physics, Semiconductors

      4.7
      Rating, 4.7 out of 5 stars
      ·
      135 reviews

      Beginner · Course · 1 - 3 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
      I

      IBM

      IBM Introduction to Machine Learning

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

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Strategy and Governance

      Skills you'll gain: Data Ethics, Data Governance, Personally Identifiable Information, Data Security, Governance, Business Strategy, Organizational Strategy, Business Transformation, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Innovation, Algorithms, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      298 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Business Data Management and Communication

      Skills you'll gain: Data Storytelling, Revenue Recognition, Financial Statements, Data Presentation, Data Visualization, Accrual Accounting, Cash Flows, Financial Accounting, Data Collection, Bookkeeping, Business Analytics, Income Statement, Data Visualization Software, Business Valuation, Balance Sheet, Data Quality, Asset Management, Analytics, Data Processing, Information Management

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

      Intermediate · Specialization · 3 - 6 Months

    • T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Video Game Development, Software Testing, Software Development, Programming Principles, Software Design, Game Design, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Financial Planning for Young Adults

      Skills you'll gain: Financial Planning, Investments, Budgeting, Risk Management, Goal Setting, Loans, Finance, Insurance, Credit Risk

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI for Leaders

      Skills you'll gain: Succession Planning, Business Writing, Generative AI, Leadership, Meeting Facilitation, Organizational Leadership, Business Leadership, Proposal Writing, Communication, Human Resource Strategy, Business Transformation, Artificial Intelligence, Internal Communications, Strategic Thinking, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      459 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Master Microsoft Office 365 and Power Platform

      Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Outlook, Data Integration, Business Intelligence, Collaborative Software, Productivity Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Connect and Protect: Networks and Network Security

      Skills you'll gain: Network Security, Hardening, Network Protocols, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cybersecurity, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K 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

    • Intuit Academy Bookkeeping: Intuit
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
    • Introduction to Materials Science : Arizona State University
    • Supply Chain Management: Rutgers the State University of New Jersey
    • IBM Introduction to Machine Learning: IBM
    • AI Strategy and Governance: University of Pennsylvania
    • Business Data Management and Communication: University of Illinois Urbana-Champaign
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Financial Planning for Young Adults: University of Illinois Urbana-Champaign
    • Generative AI for Leaders: Vanderbilt University

    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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