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    • Business Analysis

    필터링 기준

    "business analysis"에 대한 3002개의 결과

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      University at Buffalo

      Data-Driven Process Improvement

      획득할 기술: Strategy and Operations, Business Analysis, Business Process Management, Data Analysis, Data Analysis Software, Data Management, Data Structures, Entrepreneurship, Leadership and Management, Operational Analysis, Operations Management, Performance Management, Planning, Process Analysis, Supply Chain and Logistics, Theoretical Computer Science, Computer Architecture, Computer Graphics, Computer Networking, Human Computer Interaction, Interactive Design, Internet Of Things, Marketing, Network Architecture, Sales, Software Engineering, Strategy

      4.6

      (153개의 검토)

      Beginner · Course · 1-4 Weeks

    • 무료

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      Eindhoven University of Technology

      Process Mining: Data science in Action

      획득할 기술: Business Analysis, Process Analysis, Data Analysis, Data Mining, Machine Learning, Machine Learning Algorithms, Algorithms, Business Process Management, Business Psychology, Communication, Data Management, Data Structures, Entrepreneurship, Leadership and Management, Organizational Development, Strategy and Operations, Theoretical Computer Science

      4.7

      (1.1k개의 검토)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Getting Started with Power BI Desktop

      획득할 기술: 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

      (3.1k개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Illinois at Urbana-Champaign

      Managerial Economics and Business Analysis Capstone

      획득할 기술: Accounting, Big Data, Business Analysis, Change Management, Data Analysis, Data Management, Decision Making, Entrepreneurship, Finance, Financial Analysis, Leadership and Management, Market Analysis, Market Research, Marketing, Planning, Probability & Statistics, Project Management, Research and Design, Statistical Tests, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics

      4.8

      (118개의 검토)

      Beginner · Course · 1-3 Months

    • 무료

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      Yale University

      Financial Markets

      획득할 기술: Finance, Banking, Investment Management, Risk Management, Securities Trading, Financial Management, Regulations and Compliance, Securities Sales, Underwriting, Business Psychology, Behavioral Economics, Accounting, Adaptability, Budget Management, Innovation, Media Strategy & Planning, Resilience, Taxes, Business Analysis, Business Process Management, Corporate Accouting, Data Analysis, Entrepreneurship, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Probability & Statistics, Statistical Tests, Strategy and Operations

      4.8

      (24.2k개의 검토)

      Beginner · Course · 1-3 Months

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      SAP

      SAP Technology Consultant

      획득할 기술: Business Analysis, Cloud Computing, Entrepreneurship, Leadership and Management, Business Process Management, Business Transformation, Software As A Service, Strategy and Operations, Software Engineering, Cloud Applications, Agile Software Development, Application Development, Applied Machine Learning, Cloud Platforms, Computer Programming, Computer Programming Tools, Databases, Design and Product, Machine Learning, Problem Solving, Process Analysis, Product Design, Project Management, Research and Design, Software Architecture, Theoretical Computer Science, Communication, Customer Analysis, Finance, Operations Management, Planning, Sales, Supply Chain and Logistics

      4.8

      (70개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University System of Georgia

      Six Sigma Tools for Improve and Control

      획득할 기술: Probability & Statistics, Strategy and Operations, Basic Descriptive Statistics, Business Analysis, Business Process Management, Data Analysis, Entrepreneurship, Operations Management, Performance Management, Statistical Analysis, Business Psychology, Correlation And Dependence, Data Visualization, Distributed Computing Architecture, Exploratory Data Analysis, Plot (Graphics), Probability Distribution, Regression, Statistical Tests, Supply Chain and Logistics, Leadership and Management, Mathematics, Organizational Development

      4.7

      (1k개의 검토)

      Beginner · Course · 1-3 Months

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      Google

      Google UX Design

      획득할 기술: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Leadership and Management, Research and Design, Problem Solving, Web Design, Collaboration, Computer Science, User Research, Web Development, Web Development Tools, Brand Management, Change Management, Communication, Emotional Intelligence, Marketing, Marketing Design, Planning, Product Design, Professional Development, Social Media, Accounting, Advertising, Business Analysis, Business Communication, Business Psychology, Computer Programming, Data Analysis, Entrepreneurship, Finance, Financial Analysis, Interactive Design, Investment Management, Operating Systems, Programming Principles, Sales, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Visual Design

      4.8

      (58k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Science

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

      4.6

      (106.2k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google Digital Marketing & E-commerce

      획득할 기술: Digital Marketing, Marketing, Marketing Management, Media Strategy & Planning, Sales, E-Commerce, Communication, Data Analysis, Social Media, Search Engine Optimization, Advertising, Leadership and Management, Strategy and Operations, Business Communication, Customer Success, Professional Development, Research and Design, Survey Creation, Data Visualization, Entrepreneurship, Persona Research, Storytelling, Strategy, Web Design, Web Development, Web Development Tools, Brand Management, Writing, Accounting, Algorithms, Back-End Web Development, Benefits, Big Data, Business Analysis, Cloud Computing, Computer Networking, Customer Relationship Management, Customer Support, Data Management, Data Mining, Finance, Financial Analysis, General Statistics, Human Computer Interaction, Human Resources, Influencing, Market Analysis, Market Research, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Networking Hardware, Planning, Probability & Statistics, Public Relations, Shipping and Receiving, Software As A Service, Software Engineering, Software Testing, Supply Chain and Logistics, Theoretical Computer Science, User Experience

      4.8

      (10.5k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Analyst

      획득할 기술: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      획득할 기술: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Database Application, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Administration, Extract, Transform, Load, Computational Logic, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (52.7k개의 검토)

      Beginner · Specialization · 3-6 Months

    business analysis과(와) 관련된 검색

    business analysis & process management
    introduction to business analysis using spreadsheets: basics
    managerial economics and business analysis
    managerial economics and business analysis capstone
    business case analysis
    business statistics and analysis
    analysis of business problems
    analysis for business systems
    1234…84

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

    • Data-Driven Process Improvement: University at Buffalo
    • Process Mining: Data science in Action: Eindhoven University of Technology
    • Getting Started with Power BI Desktop: Coursera Project Network
    • Managerial Economics and Business Analysis Capstone: University of Illinois at Urbana-Champaign
    • Financial Markets: Yale University
    • SAP Technology Consultant: SAP
    • Six Sigma Tools for Improve and Control: University System of Georgia
    • Google UX Design: Google
    • IBM Data Science: IBM Skills Network
    • Google Digital Marketing & E-commerce: Google

    사업 전략에서 학습할 수 있는 스킬

    모델링 (25)
    시장(경제학) (21)
    계획 (19)
    계획 (16)
    전략적 관리 (16)
    비즈니스 모델 (13)
    운영 관리 (13)
    분석 (12)
    평가 (12)
    프로젝트 관리 (11)
    공급망 (10)
    의사 결정 (9)

    비즈니스 분석에 대한 자주 묻는 질문

    • Business analysis encompasses all of the ways in which companies are harnessing this data to inform decision-making, grow market share, and increase profitability. In today’s highly competitive business environment, using business analytics is more than important - it’s essential.

      For example, customer analytics are enabling businesses to understand their market and tailor their products to meet consumer needs more closely. Predictive analytics can forecast demand as well as input requirements and costs more accurately, allowing businesses to minimize waste with “just-in-time” business models. Data on how a company’s own employees work can also provide an edge through improved performance management.

      Data-driven decision-making requires more than just data. Extracting useful insights requires data analysis techniques such as linear regression analysis, statistical hypothesis testing, and mathematical optimization algorithms. Analysts must also be skilled at presenting these insights clearly, using strong communications skills and data visualization (DataViz) techniques to convey key findings to both internal and external audiences.

      Business analysts help maximize efficiency and effectiveness in businesses by recommending data-driven decisions. Learn about what business analysts do and the path you can take to become one.‎

    • Because of the growing explanatory and predictive power of data-driven analytics, a basic level of familiarity with business analysis techniques is needed for a growing number of roles. In particular, most management-level positions today must use a variety of analytics in their internal goal-setting and reporting, and C-suite executives must be able to understand and leverage this data effectively as part of their decision-making process.

      Business analytics may play an even more central role in some jobs. For example, market research analysts study trends, analyze data on consumers as well as competitors, and evaluate the likely effectiveness of different marketing strategies. Owing to the explosion of data as well as the proliferation of techniques to harness it, this is an incredibly fast-growing career; the Bureau of Labor Statistics projects that market research analyst jobs will increase by 20% from 2018 to 2028, much faster than the economy-wide average.‎

    • Yes, Coursera offers courses and Specializations across a wide range of business as well as data science topics, and business analysis sits squarely at the intersection of these two fields. Thus, there are a wealth of opportunities to learn about business analysis at a high level as well as develop more specific skills in areas like statistics, data visualization and presentation, and the use of programs like Microsoft Excel and MySQL.

      Coursera also ensures you don’t have to sacrifice the quality of your education by learning online, with courses available from leading companies like IBM and PwC as well as top-ranked educational institutions like the University of Pennsylvania, Rice University, and the University of Illinois at Urbana-Champaign.‎

    • The skills or experience you might need before starting to learn business analysis may include a high interest in data and numbers, gained in high school or with a GED equivalent. You may also have taken business administration courses and attained an associate's degree too. Maybe you are active in helping others with organization and advice about their projects. These are all strong skills and experience to have before learning business analysis. It could also help to be friendly, agreeable, and easy to work with, as business analysis work involves convincing and persuading teams and companies to use detailed recommendations that may challenge the status quo.‎

    • The kinds of people best suited for roles in business analysis are usually those with a keen analytical understanding and a laser focus on details. These people also have a strong personality, able to persuade and convince senior business executives on ideas and changes. People who work in business analysis also have a professional demeanor, possess good communications skills, and have an ability to dig deep into business details, while also being able to pull back to see the big picture. Younger business analysts are coming into the field with a much stronger technology background, as they have learned how to use data in business analysis.‎

    • Business analysis might be a good career choice for you if you are the type of person that likes to understand why companies work in the ways they do and how companies can create greater efficiencies by improving a few processes. Knowing the fundamentals of business analysis might give you a clear understanding about company financials, operations management, and other interesting company segments. There are many opportunities through studying the topic or doing an internship to learn more about business analysis to find out if this field is right for you. You can learn about the tools and fundamentals of business analysis, and see if the discipline is right for you.‎

    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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