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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

    • J

      Johns Hopkins University

      Biostatistics in Public Health

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Data Analysis, Public Health, Probability & Statistics, Advanced Analytics, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • U

      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Data Sharing, Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Intellectual Property, Data Analysis, Social Sciences, Sampling (Statistics), Data-Driven Decision-Making, Diversity Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Understanding Political Concepts

      Skills you'll gain: Political Sciences, Policy Analysis, Research, Social Sciences, Systems Thinking, Governance, Interactive Learning, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IT Fundamentals for Cybersecurity

      Skills you'll gain: IT Service Management, Cloud Computing, Information Technology Infrastructure Library, Malware Protection, Identity and Access Management, Linux, Incident Response, Networking Hardware, TCP/IP, Cybersecurity, Linux Administration, Network Security, Network Protocols, Computer Security Incident Management, Cloud Security, Operating Systems, Endpoint Detection and Response, Cyber Risk, Data Ethics, Cyber Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      AWS Cloud Technology Consultant

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California, Davis

      Fundamentals of GIS

      Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Data Sharing, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Metadata Management, Data Quality, Data Mapping, File Management, Data Presentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Data Warehouse Concepts, Design, and Data Integration

      Skills you'll gain: Data Warehousing, Database Design, Data Integration, Extract, Transform, Load, Data Modeling, Star Schema, Relational Databases, Snowflake Schema, Data Architecture, Business Intelligence, SQL, Pivot Tables And Charts, Data Mart, PostgreSQL, Data Transformation, Data Quality

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data – What It Is, What We Can Do With It

      Skills you'll gain: Data Literacy, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      172 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Connect and Protect: Networks and Network Security

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point)

      Skills you'll gain: Spreadsheet Software, Data Entry, Document Management, File Management, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

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

    • Biostatistics in Public Health: Johns Hopkins University
    • Supply Chain Management: Rutgers the State University of New Jersey
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Data Science Ethics: University of Michigan
    • Understanding Political Concepts: Università di Napoli Federico II
    • IT Fundamentals for Cybersecurity: IBM
    • AWS Cloud Technology Consultant: Amazon Web Services
    • Fundamentals of GIS: University of California, Davis
    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • Data – What It Is, What We Can Do With It: Johns Hopkins 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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