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    • Business Analysis

    필터링 기준

    "business analysis"에 대한 3002개의 결과

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      Coursera Project Network

      Business Analysis & Process Management

      획득할 기술: Business Analysis, Business Process Management, Entrepreneurship, Strategy and Operations, Process Analysis

      4.3

      (1.8k개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Pennsylvania

      Business Analytics

      획득할 기술: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science

      4.6

      (17.2k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Project Management:

      획득할 기술: Project Management, Strategy and Operations, Leadership and Management, Communication, Collaboration, Agile Software Development, Entrepreneurship, Software Engineering, Business Communication, Scrum (Software Development), Planning, Supply Chain and Logistics, Business Psychology, Change Management, Finance, Organizational Development, Product Management, Risk Management, Budget Management, Conflict Management, Design and Product, Human Resources, Influencing, Storytelling, Writing, Application Development, Business Analysis, Business Process Management, Culture, Data Analysis, Data Visualization, Leadership Development, Marketing, Operations Management, Operations Research, Probability & Statistics, Problem Solving, Procurement, Product Design, Public Relations, Research and Design, Sales, Software Engineering Tools, Software Testing, Spreadsheet Software, Statistical Tests, Strategy, Supply Chain Systems, User Experience, Vendor Management

      4.8

      (74.3k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google Data Analytics

      획득할 기술: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, 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, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (101.5k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Genentech

      Making Data Science Work for Clinical Reporting

      획득할 기술: Agile Software Development, R Programming

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      획득할 기술: Business Analysis, Data Analysis, Spreadsheet Software

      4.3

      (615개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Illinois at Urbana-Champaign

      Business Analytics

      획득할 기술: Data Analysis, Business Analysis, Machine Learning, Statistical Programming, Data Visualization, R Programming, Data Management, Accounting, Business Communication, Communication, Exploratory Data Analysis, Algorithms, Data Analysis Software, Data Visualization Software, Machine Learning Algorithms, Probability & Statistics, Theoretical Computer Science, Big Data, Data Mining, Natural Language Processing, Statistical Analysis, Storytelling, Audit, Basic Descriptive Statistics, BlockChain, Business Psychology, Customer Analysis, Extract, Transform, Load, Finance, Graph Theory, Management Accounting, Marketing Psychology, Mathematics, Network Analysis, Regression, Software Engineering, Software Testing, Spreadsheet Software, Statistical Visualization, Business Intelligence, Data Structures, Design and Product, Entrepreneurship, Human Computer Interaction, Market Research, Research and Design, User Research

      4.6

      (801개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Advanced Business Analytics

      획득할 기술: 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

      (4.9k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      Coursera Project Network

      Agile Project: Product Prototype Touchpoint Analysis in Miro

      획득할 기술: Leadership and Management, Project Management, Strategy and Operations, Product Strategy

      4.6

      (60개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      PwC

      Data Analysis and Presentation Skills: the PwC Approach

      획득할 기술: Business Analysis, Spreadsheet Software, Microsoft Excel, Data Analysis, Business, Data Visualization, Basic Descriptive Statistics, Business Communication, Business Psychology, Communication, Culture, Entrepreneurship, Human Learning, Human Resources, Leadership and Management, People Development, Training, Data Visualization Software, Storytelling, Data Analysis Software, Regression, Databases, Data Science, General Statistics, Probability & Statistics, Big Data, Computer Programming, Data Management, Data Mining, Decision Making, Statistical Analysis

      4.6

      (10.3k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Virginia

      Digital Product Management

      획득할 기술: 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

      (8.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      획득할 기술: Accounting, Business Analysis, Financial Accounting, Data Analysis, Finance, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing

      4.5

      (15.1k개의 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.

    • Business Analysis & Process Management: Coursera Project Network
    • Business Analytics: University of Pennsylvania
    • Google Project Management:: Google
    • Google Data Analytics: Google
    • Making Data Science Work for Clinical Reporting: Genentech
    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Business Analytics: University of Illinois at Urbana-Champaign
    • Advanced Business Analytics: University of Colorado Boulder
    • Agile Project: Product Prototype Touchpoint Analysis in Miro: Coursera Project Network
    • Data Analysis and Presentation Skills: the PwC Approach: PwC

    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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