Data science is a field that can lead to many different pathways, so choosing the right curriculum based on your existing skill set and picking a specialty within the broader field of data science is crucial.
In the world of data science, there are four core pieces: acquiring information, organizing the data, discovering interesting knowledge, and presenting the results to help inform future actions. Data scientists are talented people who tame unstructured information to achieve these four key pillars.
While data science may seem intimidating to some, what many don’t realize is just how accessible, important, career-building and lucrative the field can be for many people. If you enjoy mathematics and statistics, appreciate practical business thinking or just like to present ideas in meaningful ways that will have an impact, then数据科学适合您.
选择正确的学习路径
To be successful in the field, it’s important to learn the right skills by selecting the ideal learning path for you—whether that entails taking a single data science course or pursuing a full degree program.
For Siva Devarakonda, director of data science at Noodle.ai with a background in electrical engineering, taking a data science course was critical to launching his data science career. “You cannot teach someone from scratch; it takes going through a data science course, which then exposes you to a variety of areas that you might not have considered before,” Devarakonda says.
Ask yourself these key questions to figure out which learning path is the best fit for you:
- 需要什么基本技能?
Your path should broadly involve strong foundational knowledge in math, statistics,编程,数据管理,machine learning, and data visualization and communication.从那里,您可以通过专门研究该基础,专门研究数据科学的特定领域makes sense for you and/or your company.
- 您目前的技能水平是多少?
Understanding what you already know, as well as what you still need to learn, is important to确定您获得正确技能的道路。您对数学和statistical principles? Do you already know any programming languages? These are key questionsto ask as you self-assess. Take我们的测验找出答案。
- What role are you aiming for?
您不必成为数据科学领域的数据科学家。Devarakonda说:“一个想进入数据科学的人应该真正考虑如何推动价值。”“There are lots of opportunities and gaps where data can be used.”
其中四个机会包括数据管家,数据工程师,数据科学家和数据分析师的作用:
- A数据管家manages the data an organization collects. This role—which requires the least amount of technical training and only some basic legal expertise—ensures that data processing, policies and guidelines are aligned with those of the organization and comply with broader policy and regulatory obligations, such as the General Data Protection Regulation (GDPR).
- 数据工程师are responsible for the development, construction, maintenance, and testing of databases and large-scale processing systems, or architectures. They also wrangle the data into shape—called normalizing—so data scientists can use it.
- 数据科学家enable businesses to make better decisions by helping them interpret data, whether by spotting opportunities, reducing costs, focusing targeting efforts and/or crafting forward-looking strategies. Data scientists can also help an organization pick the right problems to solve.
- 与数据科学家紧密合作,成功数据分析师收集数据,组织数据并在图表,图表和表中介绍信息,这些信息很容易被更广泛的组织消化。
- Do you have time and mind space to put into this?
考虑将您的职业专注于数据科学所需的时间和精力。如果你全职工作,在您自己的速度上的空闲时间上课或注册短期boot camps might be the best options.
- Can you afford it?
Online courses can give you access to some of the best universities in the world at a reasonable cost. With technology-enabled online learning, obtaining new skills and advancing your career are more cost-effective and flexible than ever before. Also, your employer may sponsor your continued education, knowing it ultimately will benefit the company. Whatever your budget is, there are options.
获得学位
如果您发现自己根据上述问题的回答深入研究数据科学,请考虑攻读学位。下面的两个顶级在线学位旨在为学习者提供bob竞猜app下载来自全球一些顶级数据科学家的世界一流数据科学教育。
伊利诺伊大学
伊利诺伊大学提供了计算机科学硕士学位,包括专注于数据科学的课程。这个flexible and affordable master’s degreeis designed so that students can complete it fully online at their own pace in order to balance personal and professional commitments. With the Master of Computer Science in Data Science (MCS-DS), students take graduate courses from one of the五个计算机科学计划and the顶级图书馆和信息研究该国的计划,如U.S. News & World Report.
In addition to learning how to treat data itself scientifically (data curation), as a complete computer science master’s degree, the MCS-DS also teaches the algorithms and processes behind data science so students learn how to utilize computing power, specifically cloud computing, as a scientific instrument for big data exploration of increasingly massive datasets. This degree gives students who have some technical background access to the computational and statistical knowledge needed to turn big data into meaningful insights. At the same time that students build expertise in four core areas of computer science—data visualization, machine learning, data mining and cloud computing—they also learn key skills in statistics and information science. Most learners complete the degree in less than three years, although it can be completed in as little as one year or, if needed, as many as five years. Apply by February 15 to join the summer 2019 cohort.
密歇根大学
密歇根大学正在开发applied master’s program in data science,designed for people who want to become data scientists through hands-on projects in programming, statistics, data analysis, information visualization and machine learning. The Master of Applied Data Science degree program is fully online and project-based, allowing learners to gain the skills needed for today’s data-driven workplace with the flexibility to earn a meaningful degree while employed.
与顶级公司的真实行业数据集合作,学生将在第一天开始建立一个项目组合,以向雇主展示技能。学生将学习系统和技术,以帮助其组织克服数据超负荷并做出获胜的决策。在数据伦理和有说服力的交流方面建立知识,学生将踏上成为不断变化的数据科学领域领导者的道路。密歇根大学信息学院的毕业生,在美国信息系统的信息学校中排名第一, have a 98 percent job placement rate in the field of their choice and go on to become data scientists at Google, Facebook and Amazon. Applications open in January 2019.