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    959 resultados para "business intelligence"

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      Università di Napoli Federico II

      Business Intelligence con la Product Suite di Tableau

      Habilidades que obtendrás: Tableau Software

      Advanced · Course · 1-3 Months

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      University of Virginia

      Digital Product Management

      Habilidades que obtendrás: Design and Product, Agile Software Development, Software Engineering, Leadership and Management, Product Management, Computer Science, Strategy and Operations, Business Analysis, Data Analysis, User Experience, Product Design, Product Development, Strategy, Business Intelligence, Business Process Management, Continuous Delivery, DevOps, Entrepreneurship, Human Computer Interaction, Marketing, Operations Management, Persona Research, Project Management, Research and Design, Sales, Scrum (Software Development), Software Testing, Supply Chain Systems, Supply Chain and Logistics, User Research

      4.7

      (8.8k reseñas)

      Beginner · Specialization · 3-6 Months

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      University System of Georgia

      Six Sigma Yellow Belt

      Habilidades que obtendrás: Strategy and Operations, Business Analysis, Business Process Management, Entrepreneurship, Data Analysis, Probability & Statistics, Operations Management, Statistical Analysis, Performance Management, Basic Descriptive Statistics, General Statistics, Operational Analysis, Supply Chain and Logistics, Business Psychology, Leadership and Management, Process Analysis, Project Management, Research and Design, Correlation And Dependence, Data Visualization, Probability Distribution, Collaboration, Communication, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Operations Research, Plot (Graphics), Regression, Statistical Tests, Survey Creation, Conflict Management, Design and Product, Human Resources, Organizational Development, Problem Solving, Product Management, Product Strategy, Training, Business Intelligence, Critical Thinking, Mathematics, Software Engineering, Software Testing, Strategy

      4.6

      (8.4k reseñas)

      Beginner · Specialization · 3-6 Months

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      University of Virginia

      Agile Development

      Habilidades que obtendrás: Agile Software Development, Software Engineering, Computer Science, Design and Product, Leadership and Management, Business Analysis, Data Analysis, User Experience, Product Management, Product Design, Product Development, Advertising, Application Development, Business Intelligence, Business Process Management, Business Psychology, Communication, Continuous Delivery, DevOps, Entrepreneurship, Human Computer Interaction, Human Learning, Market Research, Marketing, Operations Management, Persona Research, Problem Solving, Project Management, Research and Design, Scrum (Software Development), Software Architecture, Software Testing, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science, User Research

      4.7

      (4.4k reseñas)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Excel to MySQL: Analytic Techniques for Business

      Habilidades que obtendrás: Data Analysis, Probability & Statistics, Business Analysis, Spreadsheet Software, General Statistics, Databases, Statistical Tests, Data Management, Database Administration, Database Theory, Data Visualization, Data Visualization Software, Data Analysis Software, Probability Distribution, Regression, SQL, Data Warehousing, Database Application, Correlation And Dependence, Estimation, Forecasting, Statistical Analysis, Basic Descriptive Statistics, Data Mining, Machine Learning, Financial Analysis, Big Data, Data Architecture, Tableau Software, Business Intelligence, Financial Management, Microsoft Excel, Finance, Investment Management, Operational Analysis, Strategy, Business Communication, Communication, Customer Analysis, Exploratory Data Analysis, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Research and Design, Data Model, Database Design, Storytelling, Algebra, Bayesian Statistics, Combinatorics, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Entrepreneurship, Feature Engineering, Leadership and Management, Plot (Graphics), Problem Solving, Statistical Visualization, Strategy and Operations, Theoretical Computer Science, Interactive Data Visualization, Marketing, Risk Management

      4.6

      (14.9k reseñas)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Getting Started with Power BI Desktop

      Habilidades que obtendrás: Business Analysis, Data Analysis, Data Analysis Software, Data Management, Data Model, Data Visualization, Data Visualization Software, Interactive Data Visualization, Plot (Graphics), Statistical Visualization, Visualization (Computer Graphics), Business Intelligence, Power BI

      4.7

      (3.2k reseñas)

      Beginner · Guided Project · Less Than 2 Hours

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      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Habilidades que obtendrás: Supply Chain and Logistics, Leadership and Management, Supply Chain Systems, Entrepreneurship, Planning, Inventory Management, Strategy and Operations, Business Analysis, Operations Management, Probability & Statistics, Business Intelligence, Data Management, Regression, Marketing, Sales, Strategy, Accounting, Cost Accounting, Data Analysis, Material Handling, Problem Solving, Research and Design, Statistical Analysis, Forecasting, Performance Management, Procurement, Professional Development, Supplier Relationship Management, Big Data, Budget Management, Finance, Financial Analysis

      4.6

      (1.8k reseñas)

      Beginner · Specialization · 3-6 Months

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      Salesforce

      Salesforce Sales Development Representative

      Habilidades que obtendrás: Sales, Communication, Entrepreneurship, Business Development, Computer Architecture, Computer Networking, Emotional Intelligence, Leadership and Management, Market Research, Network Architecture, Planning, Research and Design, Supply Chain and Logistics, Prospecting and Qualification, Account Management, Business Analysis, Business Communication, Business Intelligence, Cloud Computing, Collaboration, Customer Analysis, Customer Relationship Management, Customer Success, Data Management, Inside Sales, Marketing, Negotiation, Outside Sales, Professional Development, Sales Systems, Salesforce, Social Media, Software As A Service, Solution Sales Engineering, Strategy

      4.5

      (321 reseñas)

      Beginner · Professional Certificate · 3-6 Months

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      Google Cloud

      Creating Business Value with Data and Looker

      Habilidades que obtendrás: Business Analysis, Data Visualization, Data Visualization Software, Looker (Software), Data Management, Cloud Computing, Applied Machine Learning, Business Intelligence, Cloud Storage, Data Structures, Data Warehousing, Databases, Machine Learning, Theoretical Computer Science, Application Development, Computer Programming, Computer Programming Tools, Data Analysis, Programming Principles, Software Engineering, Software Engineering Tools

      4.8

      (894 reseñas)

      Intermediate · Specialization · 3-6 Months

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      Microsoft

      Microsoft Azure Data Fundamentals DP-900 Exam Prep

      Habilidades que obtendrás: Cloud Computing, Data Management, Microsoft Azure, Databases, SQL, Statistical Programming, Data Analysis, Data Visualization, NoSQL, Data Warehousing, Extract, Transform, Load, Business Analysis, Big Data, Cloud Storage, Power BI, Business Intelligence, Data Visualization Software, Database Administration, PostgreSQL, Data Engineering, Interactive Design, Internet Of Things, Javascript, Software Engineering

      4.7

      (442 reseñas)

      Beginner · Specialization · 3-6 Months

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      Microsoft

      Microsoft Power Platform Fundamentals

      Habilidades que obtendrás: Business Analysis, Business Intelligence, Data Analysis, Data Management, Entrepreneurship, Strategy and Operations, Application Development, Business Process Management, Power BI, Software Engineering, Cloud Applications, Cloud Computing, Cloud Platforms, Computer Programming, Computer Programming Tools, Data Visualization, Interactive Data Visualization, Leadership and Management, Marketing, Operations Research, Research and Design, Sales, Strategy

      4.4

      (45 reseñas)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Advanced Business Analytics

      Habilidades que obtendrás: Data Analysis, Business Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Machine Learning, Regression, Basic Descriptive Statistics, Exploratory Data Analysis, Machine Learning Algorithms, Plot (Graphics), Database Design, Database Theory, Databases, Data Management, Big Data, Correlation And Dependence, Data Analysis Software, Data Visualization, Markov Model, Data Model, Data Structures, Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Dimensionality Reduction, Mathematics, Probability Distribution, Spreadsheet Software, Statistical Visualization, Theoretical Computer Science, Business Intelligence, Cloud Computing, Financial Analysis, SQL, Statistical Programming

      4.6

      (4.9k reseñas)

      Intermediate · Specialization · 3-6 Months

    Búsquedas relacionadas con business intelligence

    business intelligence and data warehousing
    business intelligence concepts, tools, and applications
    business intelligence and data analytics: generate insights
    business intelligence and competitive analysis
    business intelligence and visual analytics
    business intelligence con la product suite di tableau
    introducción a business intelligence con power bi
    data warehousing and business intelligence
    1234…80

    En síntesis, estos son los 10 cursos más populares business intelligence

    • Business Intelligence con la Product Suite di Tableau: Università di Napoli Federico II
    • Digital Product Management: University of Virginia
    • Six Sigma Yellow Belt: University System of Georgia
    • Agile Development: University of Virginia
    • Excel to MySQL: Analytic Techniques for Business: Duke University
    • Getting Started with Power BI Desktop: Coursera Project Network
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Salesforce Sales Development Representative: Salesforce
    • Creating Business Value with Data and Looker: Google Cloud
    • Microsoft Azure Data Fundamentals DP-900 Exam Prep: Microsoft

    Habilidades que puedes aprender en Machine Learning

    Programación Python (33)
    TensorFlow (32)
    Aprendizaje Profundo (30)
    Red Neuronal Artificial (24)
    Macrodatos (18)
    Clasificación Estadística (17)
    Aprendizaje por refuerzo (13)
    Álgebra (10)
    Bayesiana (10)
    Álgebra Lineal (10)
    Regresión Lineal (9)
    NumPy (9)

    Preguntas frecuentes sobre Inteligencia empresarial

    • 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.‎

    Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.
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