商业分析和数据科学的真正区别

As we’re now firmly into the 21st century, some job titles are trending more than others. 你肯定会发现很少（如果有的话）电梯操作员, 音像店老板, 百科全书推销员. 既要适应今天的情况，又要为未来做好准备, 新的工作已经出现，以满足我们现代社会的需求, 技术驱动的社会. 两个研究领域 商业分析和数据科学 - can help you gain the skills you need to be competitive in today’s workforce and to take on impactful and challenging roles.

作为业务分析师或数据科学家, you will learn how to apply your knowledge to solve important problems in private industry, 政府, 或者非营利组织. 尽管这些职位都很抢手，而且看起来很相似, 商业分析和数据科学 are distinct fields that require unique skill sets. 以下是两者的主要相似点和不同点.

商业分析和数据科学之间的相似之处

Both 商业分析和数据科学 leverage data to improve organizations by gathering and managing data, 建模和预测, 并提出影响商业决策的有价值的见解.

A master’s degree is often required to advance your career in these fields, 为高层职位提供机会, 增加你的收入潜力. Being able to program in R, Phython, and SAS is critical to analyze data in both disciplines.

业务 Analytics Uses Company Data to Make Immediate 业务 Decisions

解决定义良好的业务问题, 业务分析师使用高级统计数据来分析公司数据, 比如成本和利润, 了解过去的表现并预测未来的表现. Their findings help a 业务 make practical changes and improve efficiency and organization. 业务分析师对公司的日常决策至关重要.

分析师来自不同的背景, 包括管理, 业务, 金融, IT, 或者计算机科学, 在获得商业分析研究生学位之前. A master’s program in 业务 analytics is flexible because it empowers people from any background to learn statistical analysis, 预测分析, 数据可视化, and effective communication to provide clear and actionable recommendations to 业务 leaders.

业务 analytics does not involve extensive coding or math and is a great career fit for those who enjoy solving complex problems and offering practical, 数据驱动的结论.

Data Science Provides Insights for Future 业务 Growth and Development

将统计学和建模与计算机科学相结合, data scientists use algorithms and big data about customers or product users to answer broad questions. They find patterns and connections between factors like geography, buying behavior, or seasons. Their insights are used to help companies make informed decisions about future 业务 development.

Data scientists have more specialized technical skills than do 业务 analysts. 他们编写代码，建立算法，然后进行统计分析. Using machine learning and artificial intelligence is increasingly common in data science. 这个领域有时需要硕士学位, which appeals to people who have a strong background in math 或者计算机科学.

商业分析和数据科学是截然不同的, 但两者都提供了利润丰厚的职业道路和无限的潜力.

了解更多关于100%在线 商业分析理学硕士 来自德州大学里奥格兰德河谷分校.

来源:

http://www.educba.com/data-science-vs-Business-analytics/

http://www.mastersindatascience.org/careers/data-analytics-vs-Business-analytics/

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