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    • Business Analysis

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    「business analysis」の3013件の結果

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      IBM Skills Network

      IBM Data Analyst

      習得できるスキル: 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

      (61k件のレビュー)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      習得できるスキル: 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, Statistical Tests, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, 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

      (52.8k件のレビュー)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM DevOps and Software Engineering

      習得できるスキル: Software Engineering, DevOps, Cloud Computing, Python Programming, Kubernetes, Computer Programming, Continuous Delivery, Continuous Integration, Data Analysis, IBM Cloud, Programming Principles, Web Development, Data Structures, Security Engineering, Operating Systems, Other Web Frameworks, Software Engineering Tools, Software Testing, System Programming, System Software, Algebra, Cloud Applications, Agile Software Development, Cloud Engineering, Application Development, Cloud Infrastructure, Network Security, Software Security, Computer Architecture, Devops Tools, Distributed Computing Architecture, Docker (Software), Full-Stack Web Development, Scrum (Software Development), Basic Descriptive Statistics, Cloud Management, Cloud Platforms, Cloud Storage, Data Visualization, Data Visualization Software, Exploratory Data Analysis, Security Software, Software As A Service, Algorithms, Bioinformatics, BlockChain, Business Analysis, Collaboration, Communication, Computational Logic, Computer Graphics, Computer Networking, Computer Programming Tools, Data Management, Databases, Design and Product, Entrepreneurship, Finance, Human Computer Interaction, Interactive Design, Journalism, Leadership and Management, Linux, Mathematical Theory & Analysis, Mathematics, Operations Management, Planning, Probability & Statistics, Product Design, Product Development, Project Management, SQL, Security Strategy, Software Architecture, Software Framework, Statistical Programming, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, System Security, Systems Design, Theoretical Computer Science

      4.6

      (36.4k件のレビュー)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      習得できるスキル: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Database Administration, Apache, Extract, Transform, Load, Python Programming, Database Application, Data Model, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Computer Architecture, Algebra, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Business Analysis, Cloud Engineering, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, Hardware Design, IBM Cloud, Interactive Data Visualization, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.5k件のレビュー)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Applied Data Science

      習得できるスキル: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (43.3k件のレビュー)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      IBM Skills Network

      IBM Data Analytics with Excel and R

      習得できるスキル: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.9k件のレビュー)

      Beginner · Professional Certificate · 3-6 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      習得できるスキル: Entrepreneurship, Strategy and Operations, Business Analysis, Business Transformation, Leadership and Management, Marketing, Sales, Strategy, Data Science, Research and Design, Cloud Computing, Data Analysis, Data Management, Applied Machine Learning, Business Design, Innovation, Big Data, Market Analysis, Cloud Engineering, Cloud Infrastructure, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, Data Mining, Data Structures, Data Visualization, Data Warehousing, DevOps, General Statistics, IBM Cloud, Machine Learning, Mathematics, Network Security, Probability & Statistics, Software As A Service, Software Engineering, Apache, BlockChain, Business Psychology, Change Management, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Visualization Software, Deep Learning, Design and Product, Digital Marketing, Extract, Transform, Load, Finance, Human Computer Interaction, Interactive Design, Internet Of Things, Machine Learning Algorithms, Microsoft Excel, Operating Systems, Organizational Development, Product Strategy, Professional Development, Security Engineering, Software Architecture, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (23.6k件のレビュー)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      習得できるスキル: Data Analysis, Data Visualization, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Management, Data Analysis Software, Data Science, Plot (Graphics), Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Data Visualization Software, Statistical Visualization, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Computer Programming, Extract, Transform, Load, Leadership and Management, Operating Systems, Professional Development, System Programming

      4.7

      (14.4k件のレビュー)

      Beginner · Specialization · 3-6 Months

    • Placeholder
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      IBM Skills Network

      IBM Back-End Development

      習得できるスキル: Software Engineering, Cloud Computing, Web Development, Python Programming, Data Analysis, Other Web Frameworks, Software Engineering Tools, Data Structures, IBM Cloud, Kubernetes, Programming Principles, Security Engineering, Computer Programming, Algebra, Operating Systems, System Programming, System Software, Application Development, Django (Web Framework), Agile Software Development, Cloud Applications, Databases, DevOps, Full-Stack Web Development, Software Security, Basic Descriptive Statistics, Cloud Engineering, Computer Architecture, Data Visualization, Data Visualization Software, Design and Product, Devops Tools, Distributed Computing Architecture, Docker (Software), Exploratory Data Analysis, Front-End Web Development, Leadership and Management, Network Security, Professional Development, SQL, Security Software, Software Architecture, Software Framework, Theoretical Computer Science, Business Analysis, Cloud Platforms, Communication, Computational Logic, Computer Networking, Computer Programming Tools, Data Management, Database Administration, Database Application, Database Design, Journalism, Linux, Mathematical Theory & Analysis, Mathematics, Operations Management, Project Management, Security Strategy, Software As A Service, Software Testing, Statistical Programming, Strategy and Operations, System Security, Systems Design, Web Design

      4.6

      (32k件のレビュー)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
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      IBM Skills Network

      IBM Data Warehouse Engineer

      習得できるスキル: Data Management, Databases, SQL, Database Theory, Data Engineering, Database Administration, Data Warehousing, Data Architecture, Extract, Transform, Load, Data Model, Database Application, Operating Systems, System Programming, System Software, Data Structures, Database Design, PostgreSQL, Apache, Big Data, Statistical Programming, Data Visualization, Data Visualization Software, Data Analysis, Data Science, Leadership and Management, Network Security, Professional Development, Security Engineering, Accounting, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Networking, Computer Programming, DevOps, Distributed Computing Architecture, Hardware Design, Interactive Data Visualization, Linux, Microarchitecture, NoSQL, Programming Principles, Project Management, Python Programming, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (19.1k件のレビュー)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Foundations: Data, Data, Everywhere

      習得できるスキル: Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering

      4.8

      (74k件のレビュー)

      Beginner · Course · 1-3 Months

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      Google

      Foundations of User Experience (UX) Design

      習得できるスキル: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Leadership and Management, Planning, Research and Design, Software Engineering, Software Testing, User Research, Business Analysis, Business Psychology, Communication, Data Analysis, Entrepreneurship, Finance, Financial Analysis, Investment Management, Marketing, Problem Solving, Social Media, Web Design, Web Development

      4.8

      (48.5k件のレビュー)

      Beginner · Course · 1-4 Weeks

    business analysisに関連する検索

    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
    analysis for business systems
    analysis of business problems
    business statistics and analysis
    1…456…84

    要約して、business analysis の人気コース10選をご紹介します。

    • IBM Data Analyst: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • IBM DevOps and Software Engineering: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network
    • Applied Data Science: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • Data Analysis and Visualization Foundations: IBM Skills Network
    • IBM Back-End Development: IBM Skills Network
    • IBM Data Warehouse Engineer: IBM Skills Network

    ビジネス戦略で学べるスキル

    モデリング (25)
    市場(経済学) (21)
    計画 (19)
    計画 (16)
    戦略経営 (16)
    ビジネスモデル (13)
    オペレーションマネジメント (13)
    アナリティクス (12)
    評価 (12)
    プロジェクトマネジメント (11)
    サプライチェーン (10)
    意思決定 (9)

    ビジネス分析に関するよくある質問

    • 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.‎

    このFAQの内容は、情報提供のみを目的としています。受講生は、自分の個人的、職業的、経済的な目標に合ったコースやその他の資格を取得するために、さらに調べることをお勧めします。
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