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    Results for "data analysis"

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 简体中文

      Skills you'll gain: Data Ethics, Data Modeling, Data Analysis, Artificial Intelligence, Applied Machine Learning, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Deutsch

      Skills you'll gain: Google Cloud Platform, Customer Analysis, Generative AI, Marketing Analytics, Big Data, Analytics, Advanced Analytics, Customer Insights, Data-Driven Decision-Making, Data Analysis, Predictive Modeling, Applied Machine Learning, Marketing Strategies, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - 日本語版

      Skills you'll gain: Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Marketing Strategies, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts-Português Brasileiro

      Skills you'll gain: Marketing Strategies, Customer Analysis, Big Data, Forecasting, Customer Insights, Predictive Analytics, Analytics, Target Audience, Data Analysis, Marketing Analytics, Artificial Intelligence, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Google Cloud Platform, Generative AI

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Português

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Machine Learning, Data Quality, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Deutsch

      Skills you'll gain: Big Data, Exploratory Data Analysis, Data Analysis, Analytics, Applied Machine Learning, Google Cloud Platform, Data Cleansing, Data Processing, Data Transformation, Generative AI, Prompt Engineering, SQL, Data Visualization Software

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud でのデータ分析の概要

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

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Italiano

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introdução à análise de dados no Google Cloud

      Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Analysis, Data Transformation, Google Cloud Platform, Data Visualization, Analytics, Big Data, Data Visualization Software, Business Intelligence, Data Warehousing, Cloud Storage, SQL, Data Storage, Solution Architecture

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery Machine Learning für Inferenzen nutzen

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Probability, Bayesian Statistics, Web Scraping, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Português

      Skills you'll gain: Data Processing, Data Analysis, Google Cloud Platform, Big Data, Data-Driven Decision-Making, Data Cleansing, Data Manipulation, Generative AI, Artificial Intelligence, Interactive Data Visualization, SQL, Problem Management

      Beginner · Course · 1 - 4 Weeks

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    1…91929394

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

    • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
    • Gemini for Data Scientists and Analysts - Deutsch: Google Cloud
    • Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
    • Gemini for Data Scientists and Analysts-Português Brasileiro: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
    • Boost Productivity with Gemini in BigQuery - Deutsch: Google Cloud
    • Google Cloud でのデータ分析の概要 : Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
    • Introdução à análise de dados no Google Cloud : Google Cloud
    • BigQuery Machine Learning für Inferenzen nutzen: 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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