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    Results for "data science"

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador front-end de Meta

      Skills you'll gain: User Research, UI/UX Research, Persona (User Experience), Jest (JavaScript Testing Framework), Responsive Web Design, Design Research, Bootstrap (Front-End Framework), Version Control, User Experience Design, HTML and CSS, Unix Commands, Front-End Web Development, Usability, Web Design, React.js, Javascript, Interaction Design, Algorithms, Mobile Development, Pseudocode

      4.7
      Rating, 4.7 out of 5 stars
      ·
      472 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Liderazgo y Pensamiento Crítico

      Skills you'll gain: Critical Thinking, Independent Thinking, Influencing, Organizational Leadership, Self-Awareness, Decision Making, Leadership, Industrial and Organizational Psychology, Strategic Thinking, Leadership and Management, Team Motivation, Personal Development, Emotional Intelligence, Business Leadership, Leadership Development, Resilience, Strategic Decision-Making, Social Skills, Psychology, Complex Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      433 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud en Español

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Real Time Data, Data Lakes, Dataflow, Big Data, Data Warehousing, Dashboard, Cloud Infrastructure, Data Infrastructure, Data Visualization, Cloud Storage, Extract, Transform, Load, Data Architecture, Data Processing, Unstructured Data, Data Visualization Software, MLOps (Machine Learning Operations), Apache Hive, Tensorflow

      4.7
      Rating, 4.7 out of 5 stars
      ·
      792 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: Save time with Microsoft Excel

      Skills you'll gain: Microsoft Excel, ChatGPT, Excel Formulas, Text Mining, Data Cleansing, Data Manipulation, Data Analysis Software, Unstructured Data, Generative AI, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Power Electronics, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Computational Logic, Basic Electrical Systems, Applied Mathematics, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      162 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      EC-Council

      Ethical Hacking Essentials (EHE)

      Skills you'll gain: Penetration Testing, Cloud Security, Vulnerability Assessments, Network Security, Threat Detection, Security Awareness, Cybersecurity, Application Security, Mobile Security, Internet Of Things, Authentications, Encryption, Wireless Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      552 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Build a Recommendation System

      Skills you'll gain: Software Design, Software Design Patterns, Java, AI Personalization, Object Oriented Programming (OOP), Data Processing, Data Wrangling, Data Analysis, Data Structures, Algorithms, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      644 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon

      Introduction to Software Development

      Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Software Engineering, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Decentralized Applications (Dapps)

      Skills you'll gain: Blockchain, Test Driven Development (TDD), Application Development, Integrated Development Environments, Software Architecture, Web Applications, Application Programming Interface (API), Software Development Tools, Software Testing, User Interface (UI), Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Desarrollador front-end de Meta: Meta
    • Liderazgo y Pensamiento Crítico: Tecnológico de Monterrey
    • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
    • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera Project Network
    • Equivalent Circuit Cell Model Simulation: University of Colorado Boulder
    • C Programming for Everybody: University of Michigan
    • Ethical Hacking Essentials (EHE): EC-Council
    • Machine Learning Introduction for Everyone: IBM
    • Java Programming: Build a Recommendation System: Duke University
    • Introduction to Software Development: Amazon

    Frequently Asked Questions about Data Science

    Data science courses on Coursera cover a comprehensive array of essential skills including:

    • Fundamentals of data manipulation and data analysis using tools like Python and R
    • Statistical analysis and probability modeling
    • Machine learning techniques, including supervised and unsupervised learning
    • Data visualization and communication using platforms like Tableau and PowerBI
    • Big data technologies such as Hadoop and Spark
    • Deep learning and artificial intelligence concepts
    • Time series analysis for forecasting and trend analysis
    • Data ethics and data privacy best practices ‎

    No prior programming experience is required to begin beginner data science courses. The curriculum is designed to support learners at various skill levels:

    • Beginners can start with introductory courses on data analysis and basic programming.
    • Intermediate learners can advance to more complex statistical methods and machine learning models.
    • Advanced professionals can specialize in areas like artificial intelligence, deep learning, or big data technologies.‎

    Data science courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate comprehensive data science skills
    • Specialized course certificates in areas such as machine learning, business analytics, or data engineering
    • Certifications from leading technology companies and academic institutions
    • These certificates can help demonstrate data science skills, employability and career progression.‎

    Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more:

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Business Intelligence Analyst
    • Quantitative Analyst
    • Data Engineers and Database Administrators
    • Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models.

    Discover which data science role suits you best by taking our career quiz!‎

    Looking to enhance your team's data science skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data science training options and make a purchase, please visit our Coursera for Teams page.‎

    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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