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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

    • C

      Coursera Project Network

      Create C# App Inheritance, Composition, and Aggregation

      Skills you'll gain: Object Oriented Programming (OOP), C# (Programming Language), Object Oriented Design, Application Development, Data Structures

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      Northeastern University

      Intro to Strategic Management for Healthcare Organizations

      Skills you'll gain: Customer Analysis, Business Strategy, Competitive Analysis, Organizational Strategy, Strategic Decision-Making, Healthcare Industry Knowledge, Market Analysis, Operational Analysis, Business, Company, Product, and Service Knowledge, Environmental Management Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Choosing an Objective for a Facebook Ad Campaign

      Skills you'll gain: Facebook, Advertising Campaigns, Lead Generation, Social Media, Social Media Marketing, Digital Advertising, Campaign Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Analyzing Digital Transformation Canvas for Competitiveness

      Skills you'll gain: Digital Transformation, Business Transformation, Performance Measurement, Business Process, Technology Strategies, Business Architecture, FinTech, Competitive Analysis, Value Propositions, Stakeholder Management, Business Strategies, Key Performance Indicators (KPIs)

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Crea Diseños de Marketing en Redes Sociales con Canva

      Skills you'll gain: Canva (Software), Animations, Photo Editing, Marketing Design, Social Media Content, Graphic Design, Editing, Digital Design, Design Elements And Principles, Graphic and Visual Design, Social Media Marketing, Typography, Writing and Editing

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Digital Thinking: Frameworks For Our Digital Reality

      Skills you'll gain: Digital Transformation, Data Ethics, Machine Learning, OpenAI, Social Studies, Artificial Intelligence, Technology Strategies, Computer Science, ChatGPT, Emerging Technologies, Sociology, Technology Roadmaps, Ethical Standards And Conduct, Economics, Policy, and Social Studies, Business Technologies, Automation, Blockchain, Generative AI Agents, Algorithms, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Capstone Project: Teaching Impacts of Technology

      Skills you'll gain: Education and Training, Technical Communication, Teaching, Diversity Equity and Inclusion Initiatives, Computational Thinking, Computer Science, Innovation, Technical Writing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Communication in Remote Work

      Skills you'll gain: Virtual Teams, Telecommuting, Interpersonal Communications, Trustworthiness, Collaboration, Team Building, Social Skills, Rapport Building, Communication, Teamwork, Relationship Building, Team Leadership, Leadership, Expectation Management

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Promoción de Habilidades Socioemocionales

      Skills you'll gain: Instructional Strategies, Instructional Design, Social Skills, Course Development, Emotional Intelligence, Program Evaluation, Self-Awareness, Psychosocial Assessments, Adaptability, Cultural Diversity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      Risk Response

      Skills you'll gain: Project Risk Management, Risk Management, Risk Mitigation, Contingency Planning, Risk Analysis, Stakeholder Engagement, Business Risk Management, Stakeholder Communications, Agile Methodology, Plan Execution, Decision Making

      Intermediate · Course · 1 - 4 Weeks

    • I

      IESE Business School

      Career Path Essentials

      Skills you'll gain: Professional Development, Professional Networking, Interviewing Skills, Market Trend, LinkedIn, Relationship Building, Goal Setting, Communication Strategies, Presentations, Copywriting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Applications with Vector Databases

      Skills you'll gain: Anomaly Detection, Database Application, Large Language Modeling, Semantic Web, Application Development, Natural Language Processing, Image Analysis, AI Personalization, Information Architecture

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    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

    • Create C# App Inheritance, Composition, and Aggregation: Coursera Project Network
    • Intro to Strategic Management for Healthcare Organizations: Northeastern University
    • Choosing an Objective for a Facebook Ad Campaign: Coursera Project Network
    • Analyzing Digital Transformation Canvas for Competitiveness : Coursera Project Network
    • Crea Diseños de Marketing en Redes Sociales con Canva: Coursera Project Network
    • Digital Thinking: Frameworks For Our Digital Reality: University of California, Davis
    • Capstone Project: Teaching Impacts of Technology: University of California San Diego
    • Communication in Remote Work: University of California, Irvine
    • Promoción de Habilidades Socioemocionales: Universidad Nacional Autónoma de México
    • Risk Response: LearnKartS

    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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