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    • Business Analytics

    필터링 기준

    "business analytics"에 대한 2731개의 결과

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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

      (17.1k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      획득할 기술: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget 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, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (100.6k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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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

      (800개의 검토)

      Beginner · Specialization · 3-6 Months

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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

      (1.7k개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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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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      IBM Skills Network

      IBM Data Analyst

      획득할 기술: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Business Analysis, Basic Descriptive Statistics, Data Structures, Data Science, Statistical Programming, Spreadsheet Software, Data Management, General Statistics, Plot (Graphics), SQL, Statistical Visualization, Databases, Microsoft Excel, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Data Analysis Software, Data Visualization Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Computer Programming, 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

      (60.5k개의 검토)

      Beginner · Professional Certificate · 3-6 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

      (611개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      Duke University

      Excel to MySQL: Analytic Techniques for Business

      획득할 기술: Data Analysis, Business Analysis, Probability & Statistics, Spreadsheet Software, General Statistics, Databases, Statistical Tests, Data Management, Database Administration, Database Theory, Data Visualization, Data Analysis Software, Probability Distribution, SQL, Data Warehousing, Database Application, Correlation And Dependence, Estimation, Forecasting, Regression, Statistical Analysis, Data Visualization Software, Basic Descriptive Statistics, Data Mining, Machine Learning, Big Data, Data Architecture, Business Intelligence, Financial Management, Microsoft Excel, Finance, Investment Management, Business Communication, Communication, Customer Analysis, Exploratory Data Analysis, Financial Analysis, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Research and Design, Data Model, Database Design, Tableau Software, 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

      (14.9k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Tufts University

      Business Analytics for Managers MasterTrack® Certificate

      획득할 기술: Data Management, Financial Analysis

      학점 제공

      Mastertrack · 6-12 Months

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      ESSEC Business School

      Strategic Business Analytics

      획득할 기술: Probability & Statistics, Marketing, Business Analysis, Data Analysis, Exploratory Data Analysis, General Statistics, Statistical Analysis, Forecasting, Basic Descriptive Statistics, Financial Analysis, Market Analysis, Regression, Accounting, Big Data, Business Communication, Communication, Computer Graphics, Data Analysis Software, Data Management, Data Mining, Data Visualization, Entrepreneurship, Graphics Software, Leadership and Management, Planning, R Programming, SQL, Sales, Statistical Programming, Statistical Visualization, Storytelling, Strategy, Strategy and Operations, Supply Chain and Logistics

      4.3

      (1.3k개의 검토)

      Advanced · Specialization · 3-6 Months

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      Google

      Google Project Management:

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

      4.8

      (73.6k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      획득할 기술: Business Analysis, Computer Programming, Data Analysis, Data Analysis Software, Data Mining, Microsoft Excel, Spreadsheet Software

      4.6

      (936개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

    business analytics과(와) 관련된 검색

    business analytics specialization
    business analytics for decision making
    business analytics capstone
    business analytics executive overview
    communicating business analytics results
    advanced business analytics
    strategic business analytics
    advanced business analytics capstone
    1234…84

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

    • Business Analytics: University of Pennsylvania
    • Google Data Analytics: Google
    • Business Analytics: University of Illinois at Urbana-Champaign
    • Business Analysis & Process Management: Coursera Project Network
    • Advanced Business Analytics: University of Colorado Boulder
    • IBM Data Analyst: IBM Skills Network
    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Excel to MySQL: Analytic Techniques for Business: Duke University
    • Business Analytics for Managers MasterTrack® Certificate: Tufts University
    • Strategic Business Analytics: ESSEC Business School

    Business Essentials에서 학습할 수 있는 스킬

    분석 (37)
    프레젠테이션 (33)
    모델링 (29)
    언어 (26)
    Microsoft Excel (26)
    글쓰기 (26)
    발표 (18)
    계획 (17)
    비즈니스 커뮤니케이션 (16)
    의사 결정 (16)
    리더십 (15)

    비즈니스 분석에 대한 자주 묻는 질문

    • Business analytics is the processes and technologies organizations use to sort through and derive insights from the data they collect. Descriptive analytics focuses on using historical data to evaluate previous actions. Predictive analytics includes examining historical data to forecast future outcomes. Prescriptive analytics combines elements of descriptive and prescriptive analytics.‎

    • When you learn business analytics, you can develop data skills that many employers seek out. Organizations have an impressive amount of data available to them, and they need people who can collect and process it into useful information. As of 2021, the average salary for business analysts in the US is $68,346, according to Glassdoor. Opportunities within this field should continue to grow faster than average through the next few years, according to the Bureau of Labor Statistics.‎

    • In addition to a job as a business analyst, learning business analytics can lead to related jobs like quantitative analyst, market research analyst, and statistician. Organizations rely on data to evaluate and make decisions about the performance of employees, products, and campaigns. They tend to hire individuals with the skills needed to sort through all of the available data and present it to the decision-makers. Business analytics skills can also apply to other career areas. Project managers and marketers may use business analytics tools to monitor the effectiveness of their work and decide how to proceed with campaigns. Machine learning engineers and data architects develop programs to collect, process, and present data.‎

    • People best suited for roles in business analytics tend to be creative and critical thinkers who adapt well to change and can work in a fast-paced environment. They often pay close attention to detail and manage their time well so they can meet deadlines. Business analysts typically work with teams and have the ability to communicate and negotiate with others. Many business analysts also have a working knowledge of computer software programs and statistics.‎

    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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