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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

    • L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Finance for Non-Finance Professionals

      Skills you'll gain: Capital Budgeting, Cash Flows, Financial Analysis, Finance, Business Valuation, Return On Investment, Financial Management, Corporate Finance, Financial Modeling, Investments, Financial Statements, Risk Analysis, Equities

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • B

      Berklee

      Guitar for Beginners

      Skills you'll gain: Music Theory, Music, Instrumental Music, Music Performance, Creativity

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

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Kanban Principles, Development Environment, Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Software Development Tools, Software Development Methodologies, Software Architecture, Software Design, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      87 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM IT Project Manager

      Skills you'll gain: Stakeholder Engagement, Software Development Life Cycle, Agile Software Development, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Team Motivation, Kanban Principles, Project Schedules, Resource Planning, Development Environment, Information Technology, Sprint Retrospectives, Interviewing Skills, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Java Programming and Software Engineering Fundamentals

      Skills you'll gain: Object Oriented Programming (OOP), Java, Hypertext Markup Language (HTML), Software Design, Software Design Patterns, Data Structures, HTML and CSS, Debugging, Software Engineering, Cascading Style Sheets (CSS), Web Development, Computer Programming, Programming Principles, Javascript, Encryption, Algorithms, AI Personalization, Web Design, Data Processing, Statistical Analysis

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

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Play It Safe: Manage Security Risks

      Skills you'll gain: Threat Management, Cybersecurity, Risk Management Framework, Risk Management, Business Risk Management, Incident Response, Vulnerability Management, Security Information and Event Management (SIEM), Security Controls, Continuous Monitoring, Information Systems Security, Enterprise Security, Risk Analysis, Threat Detection, Information Assurance, Open Web Application Security Project (OWASP), Auditing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Theory, Database Management Systems, Data Modeling, JSON, Scalability, Database Management, Query Languages, Cloud Applications, Data Manipulation, Text Mining, Databases, Data Integrity, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Full-Stack JavaScript Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Kubernetes, Server Side, MongoDB, Application Deployment, CI/CD, Cloud-Native Computing, React Redux, NoSQL, Restful API, OpenShift, Git (Version Control System), Cloud Applications, Containerization, GitHub, HTML and CSS, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Tidyverse (R Package), Income Statement, Data Processing, Data Visualization Software, Business Valuation, Business Analytics, Balance Sheet, Data Quality, Asset Management, Analytics

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

      Intermediate · Specialization · 3 - 6 Months

    Statistics For Data Science learners also search

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    1…353637…834

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

    • Foundations of Computer Science: LearnQuest
    • Finance for Non-Finance Professionals: Rice University
    • Guitar for Beginners: Berklee
    • IBM IT Scrum Master: IBM
    • Data Analysis with Tableau: Tableau Learning Partner
    • IBM IT Project Manager: IBM
    • Java Programming and Software Engineering Fundamentals: Duke University
    • Play It Safe: Manage Security Risks: Google
    • PostgreSQL for Everybody: University of Michigan
    • IBM Full-Stack JavaScript Developer: IBM

    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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