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    • Business Intelligence
    Related topics:인텔리전스 분석가데이터 분석데이터 분석가etl인텔리전스Power BI

    필터링 기준

    "business intelligence"에 대한 579개의 결과

    • Google

      Google

      Google Data Analytics

      획득할 기술: Algorithms, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, General Statistics, Ggplot2, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Network Security, Other Programming Languages, Plot (Graphics), Presentation, 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, Theoretical Computer Science, Visual Design

      4.8

      (63.4k개의 검토)

      Beginner · Professional Certificate

    • IBM

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      획득할 기술: Apache, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Programming, Data Management, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Extract, Transform, Load, Microarchitecture, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science

      4.6

      (15.8k개의 검토)

      Beginner · Specialization

    • Fundação Instituto de Administração

      Fundação Instituto de Administração

      Master of Business Administration

      획득할 기술: Human Resources, Entrepreneurship, Leadership and Management, Leadership Development, Accounting, General Accounting

      학위 취득

      Degree

    • IBM

      IBM

      IBM Data Analyst

      획득할 기술: Algebra, Analytics, 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, Linearity, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.6

      (50.5k개의 검토)

      Beginner · Professional Certificate

    • University of Colorado System

      University of Colorado System

      Data Warehousing for Business Intelligence

      획득할 기술: Accounting, Business Analysis, Business Intelligence, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Mining, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, Decision Making, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Modeling, PostgreSQL, Programming Principles, SQL, Spreadsheet Software, Statistical Programming, Theoretical Computer Science

      4.5

      (3.6k개의 검토)

      Advanced · Specialization

    • University of Pennsylvania

      University of Pennsylvania

      AI For Business

      획득할 기술: Accounting, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Clinical Data Management, Computational Thinking, Computer Programming, Customer Analysis, Customer Relationship Management, Customer Success, Data Analysis, Data Management, Data Mining, Data Warehousing, Database Administration, Databases, Deep Learning, Entrepreneurship, Feature Engineering, Finance, Financial Analysis, Human Resources, Leadership and Management, Machine Learning, Marketing, Natural Language Processing, Reinforcement Learning, Sales, Security Engineering, Software Security, Strategy and Operations, Theoretical Computer Science

      4.7

      (75개의 검토)

      Beginner · Specialization

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      Coursera Project Network

      Coursera Project Network

      Power BI para Business Intelligence

      획득할 기술: Analysis, Business Intelligence, Business Analysis, Data Management

      5.0

      (26개의 검토)

      Beginner · Guided Project

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      University of California, Irvine

      University of California, Irvine

      Database Design and Operational Business Intelligence

      획득할 기술: Basic Descriptive Statistics, Business Analysis, Business Intelligence, Communication, Data Analysis, Data Management, Data Mining, Data Model, Data Visualization, Data Warehousing, Database Design, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, NoSQL, Probability & Statistics, SAS (Software), SQL, Statistical Analysis, Statistical Programming

      4.5

      (77개의 검토)

      Beginner · Specialization

    • Placeholder
      University of Colorado System

      University of Colorado System

      Business Intelligence Concepts, Tools, and Applications

      획득할 기술: Entrepreneurship, Business Intelligence, Leadership and Management, Business Analysis, Decision Making, Data Management

      4.5

      (607개의 검토)

      Mixed · Course

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      Macquarie University

      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, Microsoft Excel, Modeling, Spreadsheet Software

      4.8

      (2.8k개의 검토)

      Intermediate · Specialization

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      IBM

      IBM

      IBM Data Engineering

      획득할 기술: Algorithms, Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Lake, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, Hardware Design, IBM Cloud, Kubernetes, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Network Architecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, Relational Database, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (34.8k개의 검토)

      Beginner · Professional Certificate

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      Macquarie University

      Macquarie University

      Business intelligence and data analytics: Generate insights

      획득할 기술: Software, Data Analysis, Business Analysis, Business Intelligence, Financial Analysis, Analytics, Accounting, Probability & Statistics, Correlation And Dependence, General Statistics, Data Management, Analysis, Data Visualization, Tableau Software

      4.6

      (367개의 검토)

      Mixed · Course

    business intelligence과(와) 관련된 검색

    business intelligence and data analytics: generate insights
    business intelligence concepts, tools, and applications
    business intelligence and competitive analysis
    business intelligence and visual analytics
    business intelligence and data warehousing
    business intelligence con la product suite di tableau
    power bi para business intelligence
    data warehousing for business intelligence
    1234…49

    요약하자면, 여기에 가장 인기 있는 business intelligence 강좌 10개가 있습니다.

    • Google Data Analytics: Google
    • BI Foundations with SQL, ETL and Data Warehousing: IBM
    • Master of Business Administration: Fundação Instituto de Administração
    • IBM Data Analyst: IBM
    • Data Warehousing for Business Intelligence: University of Colorado System
    • AI For Business: University of Pennsylvania
    • Power BI para Business Intelligence: Coursera Project Network
    • Database Design and Operational Business Intelligence: University of California, Irvine
    • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
    • Excel Skills for Data Analytics and Visualization: Macquarie University

    Machine Learning에서 학습할 수 있는 스킬

    Python 프로그래밍 (33)
    TensorFlow (32)
    심층 학습 (30)
    인공 신경 회로망 (24)
    빅 데이터 (18)
    통계 분류 (17)
    강화 학습 (13)
    대수학 (10)
    베이지안 (10)
    선형 대수 (10)
    선형 회귀 (9)
    Numpy (9)

    비즈니스 인텔리전스에 대한 자주 묻는 질문

    • Business intelligence, or BI, is the application of data analysis techniques to business information, with a goal of extracting insights about company performance. BI tools can produce business analytics that reveal patterns in historical and current data as well as predictive modeling to peer into the future. In today’s incredibly complex business world, these insights are increasingly important for helping companies navigate everyday problem solving challenges and make informed long-term strategic management decisions.

      As part of the larger field of data science, business intelligence requires data infrastructure. This may be as simple as programming in Microsoft Excel, but more sophisticated approaches to business intelligence may harness a relational database management system (RDBMS) such as MySQL as well as data analysis in Python or R. And, because conveying insights quickly and clearly is key to business intelligence, this approach often uses data visualization programs such as Tableau to create compelling graphs or useful dashboards to display key business metrics in real time.‎

    • Business intelligence is a key area of expertise for many management analysts and consultants, since data-driven insights and analytics are increasingly essential for convincing decision-makers to accept recommendations for organizational or operational changes. According to the Bureau of Labor Statistics, jobs in this highly-compensated field are expected to grow much faster than average as more and more companies seek to gain a competitive edge by hiring these experts in business intelligence.

      Business intelligence analysts use data to help businesses navigate decisions. Once you have the necessary skills, there are several paths you can take to become one. Read our article about how to become a business intelligence analyst to learn more.‎

    • Certainly. Coursera has a wealth of opportunities to learn remotely about business as well as data science, and business intelligence lies squarely at the intersection of these two disciplines. You can take individual courses as well as multi-course Specializations in business intelligence and related topics offered by top-ranked institutions such as the University of Colorado, the University of Pennsylvania, and Duke University. And, if you want to dive even deeper into the use of data for business, can even pursue a professional certification in data science from IBM.

      Regardless of your needs, the ability to view course materials and complete assignments on a flexible schedule makes learning online with Coursera a great fit for mid-career business professionals looking to upgrade their skill set.‎

    • To learn business intelligence (BI), you might need prior knowledge of data storage and data warehousing as well as earlier work experience as a data analyst or data scientist. You might be able to leverage a business or financial internship into learning about business intelligence if you also have strong computer programming language skills and data architecture knowledge. Management consultancy work is also a solid experience to have before learning business intelligence, as you can gain insights into various types of data, industry classifications, and analytics models with visualization tools. BI also involves the analysis of business geographic information, competition intensity, industry trend, and value chain analysis, so gaining experience in any of these areas through online courses, college classes, or work experience can bring you closer to learning about business intelligence. Business intelligence analysts use data to help businesses navigate decisions. Once you have the necessary skills, there are several paths you can take to become a business intelligence analyst.‎

    • The kind of people who are best suited for work that involves business intelligence are often college grads who have completed degrees in engineering, data science, business administration, information systems, or related studies to gain insights into organizational operations and modern business processes. Data professionals working in business intelligence are generally sharp with details, with a keen sense of business operations, and they may possess strong leadership abilities as a result of their role of overseeing business operations data. The people leading BI projects are likely to be technology-focused, analytical, and have substantial knowledge of a company’s technological aspects and business conditions.‎

    • Business intelligence may be the right fit for you if you have a well-rounded background in information technology, business, and data knowledge. You might need to have additional hard skills like programming, data modeling, and statistics, combined with excellent communication, analytical thinking, and problem-solving skills. Learning business intelligence takes time. The experience gained in internships, work roles, and online courses can help you understand the nuances of how data, technology, and business operations intersect in an organization. If that interests you and you want to gain a foothold in an emerging area, learning business intelligence may be a smart, advancing step for you to take.‎

    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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