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    Results for "data analysis"

    • Status: New
      New
      C

      Coursera

      User DNA: Crafting Personas & Journey Maps in Miro

      Skills you'll gain: User Experience Design, Persona (User Experience), User Experience, Design Research, User Research, User Centered Design, Usability, User Flows, Persona Development, Research, Qualitative Research, Design Software, Graphical Tools, Prioritization

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Coursera

      Creating Engaging Content for YouTube

      Skills you'll gain: Video Production, Web Analytics and SEO, Search Engine Optimization, Content Strategy, Content Performance Analysis, Content Creation, Branding, Marketing Channel, Live Streaming, Storytelling

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 数据分析功能简介

      Skills you'll gain: Looker (Software), Data Transformation, Google Analytics, Google Cloud Platform, Analytics, Data Manipulation, Data-Driven Decision-Making, Big Data, Interactive Data Visualization, Data Analysis, Data Presentation, Data Lakes, Data Processing, Dashboard, Data Visualization Software, SQL, Data Storage, Data Sharing, Data Storage Technologies, Exploratory Data Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Virginia

      Coding Data Models with AI

      Skills you'll gain: Model View Controller, Version Control, Data Modeling, OpenAI, NoSQL, ChatGPT, Application Deployment, Software Development Tools, Generative AI, Google Cloud Platform, Databases, Database Development, Database Design, Artificial Intelligence, Integrated Development Environments, Secure Coding

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 简体中文

      Skills you'll gain: Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Cleansing, Interactive Data Visualization, Data Transformation, Data Analysis, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Français

      Skills you'll gain: Data Ethics, Open Source Technology, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Applied Machine Learning, Data Validation, Data Analysis, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery 머신러닝을 사용한 추론

      Skills you'll gain: Data Analysis, Big Data, MLOps (Machine Learning Operations), Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      BigQuery pour les analystes de données

      Skills you'll gain: Looker (Software), Data Transformation, Data Cleansing, Data Manipulation, Big Data, Data Processing, Data Warehousing, Extract, Transform, Load, SQL, Data Quality, Data Storytelling, Business Intelligence, Data Analysis, Analytics, Data Integrity, Data Store, Data Pipelines, Data Visualization Software, Data Import/Export, Google Sheets

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Pengantar Keamanan di Dunia AI

      Skills you'll gain: Threat Modeling, Threat Management, Security Strategy, Data Security, Personally Identifiable Information, Security Controls, Infrastructure Security, Artificial Intelligence, Security Engineering, Cyber Risk, Risk Management Framework

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Getting Started with Amazon DocumentDB (with MongoDB compatibility)

      Skills you'll gain: Amazon Web Services, MongoDB, NoSQL, Cloud-Based Integration, Cloud Applications, Operational Databases

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Toma de Decisiones Basadas en Datos

      Skills you'll gain: Descriptive Analytics, Business Analytics, Data Mining, Database Design, NoSQL, SQL, Data Ethics, Query Languages, Digital Transformation, Predictive Analytics, Big Data, Data Management, Business Intelligence, Data Visualization, Statistical Methods, Data-Driven Decision-Making, Competitive Analysis, Business Strategy, Strategic Thinking, Business Strategies

      Credit offered

      Mastertrack · 6 - 12 Months

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    1…816817818…829

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

    • User DNA: Crafting Personas & Journey Maps in Miro: Coursera
    • Creating Engaging Content for YouTube: Coursera
    • Google Cloud 数据分析功能简介 : Google Cloud
    • Coding Data Models with AI: University of Virginia
    • Boost Productivity with Gemini in BigQuery - 简体中文: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Français: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
    • BigQuery 머신러닝을 사용한 추론: Google Cloud
    • BigQuery pour les analystes de données: Google Cloud
    • Pengantar Keamanan di Dunia AI: Google Cloud

    Frequently Asked Questions about Data Analysis

    Coursera’s Data Analysis courses equip learners with essential analytical skills to interpret and make sense of data:

    • Fundamental and advanced techniques for data collection, cleaning, and preprocessing.
    • Statistical analysis and quantitative reasoning to derive insights from data.
    • Use of major data analysis tools and software, including Python, R, SQL, and Excel.
    • Data visualization skills to represent data effectively and communicate findings.
    • Predictive analytics to forecast trends and behaviors using historical data.
    • Application of data analysis skills in various industries like healthcare, marketing, finance, and technology.‎

    Data Analysis courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with courses that introduce basic data analysis concepts and tools.
    • Intermediate learners can enhance their skills with more detailed studies in specific areas such as statistical modeling or machine learning.
    • Advanced users can deepen their expertise with complex data analytics projects and applications.‎

    Upon completing Data Analysis courses, learners can earn credentials that may support their career development:

    • Professional certificates that may indicate proficiency in data analysis tools and techniques.
    • Specializations that cover in-depth topics in data analysis, enhancing both knowledge and practical skills.
    • Certificates that can be recognized by employers in fields that rely heavily on data-driven decision-making.‎

    Proficiency in data analysis can open doors to diverse career paths across multiple sectors:

    • Data Analyst, interpreting data sets to help guide business decisions.
    • Business Intelligence Analyst, using data to inform strategy and business practices.
    • Market Research Analyst, analyzing data to understand market trends and consumer preferences.
    • Operations Analyst, using data to optimize business operations and increase efficiency.
    • Financial Analyst, employing analytical techniques to assess financial data and predict future trends.‎

    Looking to enhance your team's data analysis 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 analysis 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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