Coursera
  • 온라인 학위학사 및 석사 학위 살펴보기
  • MasterTrack™석사 학위를 따기 위한 학점 얻기
  • 대학교 수료증대학원 수준의 학습을 통해 경력을 쌓으세요.
경력 찾기기업용 Coursera대학교용
  • 검색
  • 상위 강좌
  • 로그인
  • 무료 회원 가입
    Coursera
    • 검색
    • Business Analysis

    필터링 기준

    "business analysis"에 대한 2322개의 결과

    • Placeholder
      IBM Skills Network

      IBM Data Warehouse Engineer

      획득할 기술: Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Networking, Computer Programming, Data Architecture, Data Engineering, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Design, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Hardware Design, Interactive Data Visualization, Leadership and Management, Microarchitecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (17.1k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      IBM Skills Network

      BI Foundations with SQL, ETL and Data Warehousing

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

      4.6

      (16.1k개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      University of Pennsylvania

      Introduction to Finance and Accounting

      획득할 기술: Accounting, Accounts Payable and Receivable, Analysis, Budget Management, Business Analysis, Corporate Bond, Data Analysis, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Flow Network, General Accounting, Generally Accepted Accounting Principles (GAAP), Internality, Investment, Investment Management, Taxes

      4.6

      (11.9k개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      획득할 기술: Accounting, Accounts Payable and Receivable, Analysis, Business Analysis, Data Analysis, Data Analysis Software, Design and Product, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Forecasting, General Accounting, General Statistics, Investment Management, Leadership and Management, Market Research, Marketing, Mathematics, Microsoft Excel, Probability & Statistics, Probability Distribution, Product Management, Product Marketing, Regression, Research and Design, Sales, Spreadsheet Software, Strategy, Strategy and Operations, Taxes

      4.5

      (14.5k개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      DeepLearning.AI

      Machine Learning Engineering for Production (MLOps)

      획득할 기술: Applied Machine Learning, Business Analysis, Change Management, Cloud Computing, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Visualization, Deep Learning, DevOps, Estimation, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Modeling, Network Security, Probability & Statistics, Python Programming, Security Engineering, Security Strategy, Statistical Programming, Statistical Visualization, Strategy and Operations, Tensorflow

      4.7

      (2.2k개의 검토)

      Advanced · Specialization · 3-6 Months

    • Placeholder
      Google

      Ask Questions to Make Data-Driven Decisions

      획득할 기술: Budget Management, Data Mining, Spreadsheet, Communication, Business Communication, Project Management, Spreadsheet Software, Data Management, Leadership and Management, Data Analysis, Business Analysis, Small Data, Analysis, Big Data, Data-Informed Decision-Making, Cloud Computing, Finance

      4.7

      (15.6k개의 검토)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      Intuit

      Intuit Bookkeeping

      획득할 기술: Accounting, Accounts Payable and Receivable, Audit, Business Analysis, Cost Accounting, Data Analysis, Design and Product, Finance, Financial Accounting, Financial Analysis, General Accounting, Generally Accepted Accounting Principles (GAAP), Inventory Management, Leadership and Management, Merchandising, Payments, Product Lifecycle, Regulations and Compliance, Sales, Supply Chain and Logistics, Taxes

      4.5

      (2.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM AI Engineering

      획득할 기술: Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Clustering Algorithms, Data Management, Data Structures, Databases, Deep Learning, Dimensionality Reduction, Econometrics, Entrepreneurship, General Statistics, Image Processing, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Probability Distribution, Python Programming, Recommender Systems, Regression, SQL, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science

      4.6

      (14.8k개의 검토)

      Intermediate · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      University of Pennsylvania

      Business and Financial Modeling

      획득할 기술: Accounting, Accounts Payable and Receivable, Basic Descriptive Statistics, Business Analysis, Cash Management, Corporate Accouting, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Model, Decision Making, Design and Product, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Flow Network, Forecasting, General Statistics, Investment Management, Leadership and Management, Market Research, Marketing, Mathematical Optimization, Mathematics, Microsoft Excel, Performance Management, Probability, Probability & Statistics, Probability Distribution, Problem Solving, Product Management, Product Marketing, Regression, Research and Design, Risk Management, Sales, Spreadsheet Software, Statistical Analysis, Statistical Tests, Strategy, Strategy and Operations

      4.5

      (9.8k개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      Google

      Project Initiation: Starting a Successful Project

      획득할 기술: Entrepreneurship, Project, Communication, Project Plan, Project Charter, Leadership Development, Leadership and Management, Strategy and Operations, Project Management, Human Resources, Analysis, Spreadsheet Software, Business Analysis

      4.8

      (9k개의 검토)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      University of Virginia

      Leading the Modern Day Business

      획득할 기술: Big Data, BlockChain, Business Analysis, Business Transformation, Cloud Computing, Computer Architecture, Computer Graphics, Computer Networking, Data Analysis, Data Management, Design Thinking, Design and Product, Entrepreneurship, Finance, Human Computer Interaction, Innovation, Interactive Design, Internet Of Things, Leadership and Management, Marketing, Network Architecture, Problem Solving, Product Development, Product Management, Research and Design, Sales, Software Engineering, Strategy, Strategy and Operations, Supply Chain and Logistics

      4.7

      (17.8k개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      University of Virginia

      Digital Product Management

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

      4.7

      (8.2k개의 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 for business systems
    analysis of business problems
    1…456…84

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

    • IBM Data Warehouse Engineer: IBM Skills Network
    • BI Foundations with SQL, ETL and Data Warehousing: IBM Skills Network
    • Introduction to Finance and Accounting: University of Pennsylvania
    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Machine Learning Engineering for Production (MLOps): DeepLearning.AI
    • Ask Questions to Make Data-Driven Decisions: Google
    • Intuit Bookkeeping: Intuit
    • IBM AI Engineering: IBM Skills Network
    • Business and Financial Modeling: University of Pennsylvania
    • Project Initiation: Starting a Successful Project: 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.
    살펴볼 만한 다른 주제
    Placeholder
    예술 & 인문학
    338개의 강좌
    Placeholder
    비즈니스
    1095개의 강좌
    Placeholder
    컴퓨터 공학
    668개의 강좌
    Placeholder
    데이터 과학
    425개의 강좌
    Placeholder
    정보 기술
    145개의 강좌
    Placeholder
    건강
    471개의 강좌
    Placeholder
    수학 및 논리
    70개의 강좌
    Placeholder
    자기개발
    137개의 강좌
    Placeholder
    물리 과학 및 공학
    413개의 강좌
    Placeholder
    사회 과학
    401개의 강좌
    Placeholder
    언어 학습
    150개의 강좌

    Coursera Footer

    경력을 시작하거나 쌓기

    • Google 데이터 분석가
    • Google 프로젝트 관리
    • Google UX 디자인
    • Google IT 지원
    • IBM 데이터 과학
    • IBM 데이터 분석가
    • Excel & R을 사용한 IBM 데이터 분석
    • IBM 사이버 보안 분석가
    • IBM 데이터 엔지니어링
    • IBM 풀스택 클라우드 개발자
    • Facebook 소셜 미디어 마케팅
    • Facebook 마케팅 분석
    • Salesforce 영업 개발 담당자
    • Salesforce 영업 운영
    • Intuit 부기
    • Google 클라우드 자격증: 클라우드 아키텍트 취득 준비
    • Google 클라우드 자격증: 클라우드 데이터 엔지니어 취득 준비
    • 경력 시작
    • 수료증 취득 준비
    • 경력 쌓기

    인기 있는 주제 찾아보기

    • 무료 강좌
    • 언어 학습
    • 파이썬
    • Java
    • 웹 디자인
    • SQL
    • Cursos Gratis
    • Microsoft Excel
    • 프로젝트 관리
    • 사이버 보안
    • 인사
    • 데이터 과학 무료 강좌
    • 영어 말하기
    • 콘텐츠 작성
    • 풀스택 웹 개발
    • 인공 지능
    • C 프로그래밍
    • 커뮤니케이션 기술
    • 블록체인
    • 모든 강좌 보기

    인기 강좌 및 문서

    • 데이터 과학 팀을 위한 기술
    • 데이터 기반 의사 결정
    • 소프트웨어 엔지니어링 기술
    • 엔지니어링 팀을 위한 소프트 스킬
    • 경영 기술
    • 마케팅 기술
    • 영업 팀을 위한 기술
    • 제품 관리자 기술
    • 금융을 위한 기술
    • 영국에서 인기 있는 데이터 과학 강좌
    • Beliebte Technologiekurse in Deutschland
    • 인기 있는 사이버 보안 자격증
    • 인기 있는 IT 자격증
    • 인기 있는 SQL 자격증
    • 마케팅 관리자 커리어 가이드
    • 프로젝트 관리자 커리어 가이드
    • Python 프로그래밍 기술
    • 웹 개발자 커리어 가이드
    • 데이터 분석가 기술
    • UX 설계자를 위한 기술

    온라인으로 학위 또는 자격증 취득

    • MasterTrack® 자격증
    • 전문 자격증
    • 대학교 수료증
    • MBA 및 경영학 학위
    • 데이터 과학 학위
    • 컴퓨터 공학 학위
    • 데이터 분석 학위
    • 공중 보건 학위
    • 사회 과학 학위
    • 관리 학위
    • 유럽 일류 대학의 학위
    • 석사 학위
    • 학사 학위
    • 성적 기반 경로를 제공하는 학위
    • 이학사 강좌
    • 학사 학위란 무엇인가요?
    • 석사 학위를 취득하는 데 얼마나 오래 걸리나요?
    • 온라인 MBA를 들을 만한 가치가 있나요?
    • 대학원 등록금을 지불하는 7가지 방법
    • 모든 자격증 보기

    Coursera

    • 소개
    • 제공 내용
    • 리더십
    • 직업
    • 카탈로그
    • Coursera Plus
    • 전문 자격증
    • MasterTrack® 자격증
    • 학위
    • 기업용 Coursera
    • 정부용
    • 캠퍼스용
    • 파트너가 되기
    • 코로나바이러스감염증-19 대응

    커뮤니티

    • 학습자
    • 파트너
    • 개발자
    • 베타 테스터
    • 번역가
    • 블로그
    • 기술 블로그
    • 지도 센터

    기타

    • 보도 자료
    • 투자자
    • 조건
    • 개인정보 보호
    • 도움말
    • 접근성
    • 문의하기
    • 문서
    • 디렉토리
    • 계열사
    • 현대 노예 선언문
    어디에서나 학습
    앱스토어에서 다운로드하기구글 플레이에서 받기
    Placeholder
    © 2022 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder