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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

    • A

      Alfaisal University | KLD

      محاسبة المقبوضات والديون المعدومة

      Skills you'll gain: Accounts Receivable, Customer Analysis, Accounting, Accounting Records, Bankruptcies, Credit Risk, Balance Sheet, Financial Analysis, Sales Process

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      AWS Advanced

      Skills you'll gain: Serverless Computing, Cloud Computing Architecture, Amazon Web Services, Amazon CloudWatch, Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Devops Tools, Cloud Management, Cloud Infrastructure, Load Balancing, System Monitoring, Infrastructure as Code (IaC), API Gateway, Amazon S3, Scalability, Cloud Security, Application Deployment

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation with Google Cloud - Français

      Skills you'll gain: Cloud Infrastructure, Digital Transformation, Cloud Platforms, Cloud Services, Cloud Computing, Public Cloud, Business Transformation, Infrastructure As A Service (IaaS), Hybrid Cloud Computing, Software As A Service, Cloud Security, Cost Management, Operating Expense, Capital Expenditure

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Intro to Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Azure Active Directory, Machine Learning, Generative AI, Predictive Modeling, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Web Development in Flask: Build Your First Website

      Skills you'll gain: Flask (Web Framework), User Accounts, Web Development, Web Applications, HTML and CSS, Authentications, Cascading Style Sheets (CSS), Database Development, Database Management

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      In core nuclear fuel management

      Skills you'll gain: Thermal Management, Process Engineering, Chemical Engineering, Energy and Utilities, Engineering Design Process, Engineering Calculations, Control Systems, Cost Estimation, Mathematical Modeling, Simulation and Simulation Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Getting Started with Pinterest

      Skills you'll gain: Pinterest, Organizational Skills, User Accounts, Collaboration, Curiosity, Resourcefulness

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Data-Driven Leadership Skills Capstone Project

      Skills you'll gain: Data Literacy, Strategic Leadership, Data-Driven Decision-Making, Business Leadership, Team Leadership, Organizational Leadership, Leadership, Data Analysis, Strategic Decision-Making, Agile Methodology, Organizational Structure

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Design Research para Estratégia e Inovação

      Skills you'll gain: Design Thinking, Design Research, Innovation, Design Strategies, Human Centered Design, User Research, Ideation, Service Design, Organizational Strategy, Creativity, User Experience Design, Storyboarding, Product Development, Process Development, Market Research, User Experience, Qualitative Research, Quantitative Research, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      How to use Canva hidden features

      Skills you'll gain: Canva (Software), Color Theory, Photo Editing, Scalability, Design Elements And Principles, Typography, Graphic Design

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      National Taiwan University

      Pioneers of Medicine and Medical Breakthroughs in Taiwan

      Skills you'll gain: Nephrology, Dialysis, Critical Care, Life Support, Public Health and Disease Prevention, Infectious Diseases, Epidemiology, Medical Equipment and Technology, Chronic Diseases, Public Health, Health Care, Medical Science and Research, Surgery, Health Policy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Movement Capabilities Depend on Neuromuscular Properties

      Skills you'll gain: Kinesiology, Rehabilitation, Physical Therapy, Neurology, Anatomy, Geriatrics, Biology, Research

      Intermediate · Course · 1 - 4 Weeks

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    1…831832833834

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

    • محاسبة المقبوضات والديون المعدومة: Alfaisal University | KLD
    • AWS Advanced: LearnKartS
    • Digital Transformation with Google Cloud - Français: Google Cloud
    • Intro to Artificial Intelligence on Microsoft Azure: Microsoft
    • Web Development in Flask: Build Your First Website: Coursera Project Network
    • In core nuclear fuel management: Universidad Nacional Autónoma de México
    • Getting Started with Pinterest: Coursera Project Network
    • Data-Driven Leadership Skills Capstone Project: University of Glasgow
    • Design Research para Estratégia e Inovação: Fundação Instituto de Administração
    • How to use Canva hidden features: Coursera Project Network

    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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