What is business analysis, and why is it important to learn about?

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.

What kinds of career opportunities can I pursue with skills in business analysis?

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.

Can I learn about business analysis through online courses on Coursera?

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.

What skills or experience do I need to already have, before starting to learn business analysis skills?

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.

What kind of people are best suited for roles that require business analysis skills?

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.

How do I know if learning business analysis skills is right for me?

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.

Обзор
Business Analysis

Фильтр

Результатов для запроса ''business analysis': 2232

University of Pennsylvania
Business Analytics
Получаемые навыки: Accounting, Analytics, Big Data, Business Analysis, Business Psychology, Collaboration, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Customer Analysis, Data Analysis, Data Analysis Software, Data Management, Data Structures, Decision Making, Entrepreneurship, Financial Accounting, Financial Analysis, Forecasting, General Statistics, Human Resources, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Network Analysis, People Analysis, People Development, Performance Management, Probability & Statistics, Regression, Sales, Simulation, Spreadsheet Software, Statistical Analysis, Strategy, Strategy and Operations, Talent Management, Theoretical Computer Science
4.6
(рецензий: 16.5k)
Beginner · Specialization
Google
Google Project Management:
Получаемые навыки: Agile Software Development, Analysis, Application Development, Budget Management, Business Analysis, Business Process Management, Business Psychology, Change Management, Communication, Culture, Data Analysis, Data Visualization, Design and Product, Entrepreneurship, Finance, Human Resources, Leadership Development, Leadership and Management, Marketing, Operations Management, Operations Research, Organizational Development, Planning, Probability & Statistics, Procurement, Product Design, Project, Project Management, Public Relations, Research and Design, Risk Management, Sales, Software, Software Engineering, Software Engineering Tools, Software Testing, Spreadsheet Software, Statistical Tests, Storytelling, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, User Experience, Vendor Management, Writing
4.8
(рецензий: 46.3k)
Beginner · Professional Certificate
University of Colorado Boulder
Advanced Business Analytics
Получаемые навыки: Algorithms, Analysis, Analytics, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Business Analytics, Cloud Computing, Computer Vision, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Databases, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Optimization, Mathematical Theory & Analysis, Modeling, Plot (Graphics), Probability & Statistics, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Theoretical Computer Science
4.6
(рецензий: 4.7k)
Intermediate · Specialization
Google
Google Data Analytics
Получаемые навыки: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Privacy, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design
4.8
(рецензий: 63.9k)
Beginner · Professional Certificate
Rice University
Business Statistics and Analysis
Получаемые навыки: Analysis, Basic Descriptive Statistics, Business Analysis, Chart, Computer Programming, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Mining, Data Visualization, Econometrics, Experiment, General Statistics, Linearity, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, Regression, Spreadsheet Software, Statistical Analysis, Statistical Tests, Statistical Visualization
4.7
(рецензий: 11.2k)
Beginner · Specialization
Microsoft
Microsoft 365 Fundamentals
Получаемые навыки: Advertising, Business Analysis, Business Communication, Collaboration, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Programming Tools, Data Analysis, Data Analysis Software, Data Management, Data Structures, Editing, Graphic Design, Leadership and Management, Marketing, Presentation, Research and Design, Spreadsheet Software, Theoretical Computer Science, Visual Design, Writing
4.7
(рецензий: 363)
Beginner · Specialization
Google
Foundations: Data, Data, Everywhere
Получаемые навыки: Software Engineering, Entrepreneurship, Analysis, SQL, Spreadsheet, Data Visualization, Business Analysis, Statistical Analysis, Data-Informed Decision-Making, Decision Making, Leadership and Management, Spreadsheet Software, Analytics, Design and Product, Statistical Programming, Data Management, Application Development, Product Design, Data Analysis, Databases
4.8
(рецензий: 46.2k)
Beginner · Course
IBM
IBM Data Analyst
Получаемые навыки: Algebra, Analytics, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Linearity, Machine Learning, Mathematical Theory & Analysis, Mathematics, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(рецензий: 50.6k)
Beginner · Professional Certificate
IBM
IBM Data Science
Получаемые навыки: Algebra, Algorithms, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science
4.6
(рецензий: 93.8k)
Beginner · Professional Certificate

Результаты поиска, связанного с business analysis

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

10 самых популярных курсов по запросу business analysis

Business Analytics: University of Pennsylvania
Business Analysis & Process Management: Coursera Project Network
MBA Business Analytics: O.P. Jindal Global University
Google Project Management:: Google
Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
Advanced Business Analytics: University of Colorado Boulder
Google Data Analytics: Google
Business Statistics and Analysis: Rice University
Microsoft 365 Fundamentals: Microsoft
Foundations: Data, Data, Everywhere: Google

Навыки, которые вы можете получить здесь: Бизнес-стратегия

Моделирование (25)

Рынок (экономика) (21)

План (19)

Планирование (16)

Стратегическое Управление (16)

Бизнес-модель (13)

Управление Основной Деятельностью (13)

Аналитика (12)

Оценивание (12)

Управление Проектами (11)

Цепочка Поставок (10)

Принятие Решений (9)

Часто задаваемые вопросы на тему Бизнес-анализ

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.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.