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    • Data Analytics

    필터링 기준

    "data analytics"에 대한 2307개의 결과

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      Google

      Google Data Analytics

      획득할 기술: Algorithms, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Security, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, Network Security, Other Programming Languages, Plot (Graphics), Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (70.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Analyst

      획득할 기술: Algebra, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Matplotlib, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.6

      (52.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      획득할 기술: Advertising, Analysis, Analytics, Apache, Big Data, Business Analysis, Cleaning, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Interactive Data Visualization, Leadership and Management, Marketing, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Programming Principles, R Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.7

      (10.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Introduction to Data Analytics

      획득할 기술: Analytics, Data Structures, Business Analysis, Big Data, Data Analysis, Analysis, Data Warehousing, Professional Development, Extract, Transform, Load, Apache, Data Management, Data Visualization, NoSQL, Data Mining, Databases, Leadership and Management, General Statistics, Data Visualization Software

      4.8

      (7.5k개의 검토)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      획득할 기술: Analysis, Analytics, Apache, Big Data, Business Analysis, Cleaning, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Leadership and Management, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Professional Development, Software, Spreadsheet Software, Statistical Visualization, System Programming

      4.7

      (10.4k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Google

      Foundations: Data, Data, Everywhere

      획득할 기술: Statistical Analysis, Spreadsheet Software, Decision Making, Analysis, Data Analysis, Software Engineering, Analytics, Entrepreneurship, Statistical Programming, Data-Informed Decision-Making, Application Development, Business Analysis, Data Management, Data Visualization, Design and Product, Databases, Leadership and Management, SQL, Product Design, Spreadsheet

      4.8

      (51k개의 검토)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      획득할 기술: Spreadsheet Software, Analysis, Data Analysis, Data Analysis Software, Business Analysis, Microsoft Excel, Data Mining

      4.6

      (313개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Pennsylvania

      Business Analytics

      획득할 기술: Accounting, Big Data, Business Analysis, Business Psychology, Collaboration, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Customer Analysis, Data Analysis, Data Analysis Software, Data Management, Data Structures, Decision Making, Entrepreneurship, Financial Accounting, Financial Analysis, Forecasting, General Statistics, Human Resources, Leadership and Management, Marketing, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Network Analysis, People Analysis, People Development, Performance, Performance Management, Predictive Analytics, Probability & Statistics, Regression, Sales, Spreadsheet Software, Statistical Analysis, Strategy, Strategy and Operations, Talent Management, Theoretical Computer Science

      4.6

      (16.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Science

      획득할 기술: Algebra, Algorithms, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Clustering Algorithms, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Recommender Systems, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (96.1k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Macquarie University

      Excel Skills for Data Analytics and Visualization

      획득할 기술: Analysis, Business Analysis, Chart, Data Analysis, Data Analysis Software, Data Management, Data Model, Data Visualization, Extract, Transform, Load, Interactive Data Visualization, Interactivity, Microsoft Excel, Modeling, Spreadsheet Software

      4.8

      (3k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      Duke University

      Excel to MySQL: Analytic Techniques for Business

      획득할 기술: Algebra, Big Data, Business Analysis, Business Analytics, Business Communication, Business Process, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Data Visualization Software, Database Theory, Databases, Entrepreneurship, Exploratory Data Analysis, Finance, Financial Management, General Statistics, Investment Management, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Modeling, Presentation, Probability & Statistics, Probability Distribution, Problem Solving, Regression, Regression Analysis, Research and Design, Risk Management, SQL, Spreadsheet Software, Statistical Classification, Statistical Programming, Strategy and Operations, Tableau Software, Theoretical Computer Science

      4.6

      (14.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Pennsylvania

      Data Analysis Using Python

      획득할 기술: Plot (Graphics), Python Programming, Data Analysis, Analysis, Statistical Programming, Data Visualization, Computer Programming

      4.6

      (219개의 검토)

      Beginner · Course · 1-4 Weeks

    data analytics과(와) 관련된 검색

    data analytics methods for marketing
    data analytics for lean six sigma
    data analytics foundations for accountancy i
    data analytics in sports law and team management
    data analytics en power bi
    data analytics foundations for accountancy ii
    data analytics in accounting capstone
    google data analytics professional certificate
    1234…84

    요약하자면, 여기에 가장 인기 있는 data analytics 강좌 10개가 있습니다.

    • Google Data Analytics: Google
    • IBM Data Analyst: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Introduction to Data Analytics: IBM Skills Network
    • Data Analysis and Visualization Foundations: IBM Skills Network
    • Foundations: Data, Data, Everywhere: Google
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Business Analytics: University of Pennsylvania
    • IBM Data Science: IBM Skills Network
    • Excel Skills for Data Analytics and Visualization: Macquarie University

    Data Analytics에 대한 자주 묻는 질문

    • Data analytics is the science and methodology of using qualitative and quantitative approaches to extracting valuable insights into data from big data sets. This process involves finding key data points, then categorizing the data to analyze connections, patterns, relationships, and other insights. Because data is used in almost every organization, data analytics is a key part of a company’s approach to learning more about its customers, competitors, market trends, and business processes. Data analytics is usually placed into four main sections—descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.‎

    • Data analytics is valuable to learn because it helps businesses and organizations succeed in their work. Organizations can improve their business performance and increase efficiency as they uncover and learn about various business patterns through data analytics. Getting actionable answers from raw data is a big asset to companies, and is an in-demand business skill. When you learn data analytics, you could work in B2B and B2C commerce, manufacturing, finance, healthcare, and marketing companies, as they all use data analytics to gain better knowledge about their overall business, while improving processes and growing profits.‎

    • Typical career opportunities that use data analytics are in jobs like a data analyst, quantitative analyst, data engineer, project manager, IT systems analyst, and many other similar roles involved in analyzing data. These roles are in high demand in technology companies, software agencies, large insurance companies, financial credit bureaus, consumer goods companies, financial firms, and cloud data companies. If you’re well-qualified, finding a career in data analytics isn’t difficult. But finding the right kind of company that knows what to do with data analytics effectively is important when working in this career.‎

    • When you take online courses in data analytics, you could gain a clear understanding of the fundamentals of data analytics, the big data ecosystem, and key elements of data gathering and data mining. What you learn about data analytics in online courses may help you better understand databases and data warehouses and how to explore the various cloud data mining tools. You may also learn to effectively communicate the insights gleaned from data to internal teams. This could help you become a better decision-maker.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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