数据探索了解更多 |
Udacity了解更多 |
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| $ 定价 | |
| $ 24.50 /月 | $ 359 /月 |
| 最适合 | |
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那些希望选择数据科学作为职业的人可以选择此平台。 |
Udacity适用于那些想学习大学课程和专业课程的人。 |
| 特征 | |
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| 优点 | |
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| 缺点 | |
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| 物有所值 | |
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如果你想在数据科学领域谋得一份职业，并且想要一个类似课堂的环境，那么 DataQuest 是你的完美选择，它绝对物有所值。 |
Udacity太贵了，但是课程内容是高质量的，并且由专业人士教授，完成课程后，您将获得证书。 |
| 客户支持 | |
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Dataquest 的客户支持非常好，他们提供非常有用的支持，学生可以很容易地访问知识库。 |
Udacity 的客户支持良好且友好，他们有社交媒体渠道可以回复学生。 易于访问和学生社区非常有帮助 |
哪个平台， Dataquest vs 优达学城, is better when it comes to the study of data science? I have compared the data scientist path offered by Dataquest with the data science nano degree offered by Udacity.
数据科学是来自数学，统计学，计算机科学和信息科学领域的综合知识的结果。
There is no requirement apart from the basic knowledge of coding to become a data scientist. Many people invest in online courses to gain a certificate and advance knowledge in the field so that they can land themselves a decent job.
Dataquest and Udacity are platforms that offer online courses for individuals to gain more insight into the field of data science. So, Let’s begin with the comparison between DataQuest vs Udacity.
🚀 底线前期
Dataquest公司 教育课程赢得了无数奖项，其有效性得到广泛认可。 社区内的资源以及外部资源可以帮助您的学习和职业生涯。
在学习数据科学方面，DataQuest是比Udacity更好的平台。 课程结构，提供的课程和学习经验是该平台上最好的东西。 您也可以在此平台上与您的讲师互动。
🚀 DataQuest 与 Udacity：一个 概述
Although both are giants in the field of data science, I know that there is always confusion between the two as to which one to choose to gain better knowledge and finally land a job.
让我为您列出两者之间的主要区别。 我将尽我所能为您提供差异和评论，从而为您提供帮助。
The major difference between the two is that Udacity offers learning in various fields as regards Dataquest, which is only related to learning data sciences.
Dataquest概述
Dataquest公司 是一个基于交互的学习平台，提供与该领域相关的各种课程来学习数据科学，并根据他们选择的具体课程为个人开辟不同的就业途径。
These include training in skill sets required to excel in the field as 数据分析, data analyst and scientist, or data engineer.
All the content on Dataquest is produced on its own, which means you can expect a fixed, consistent teaching method and quality throughout.
Dataquest 创建了一个由志趣相投的人组成的社区。 所有 Dataquest 学生都可以访问他们的学生社区。 在这里，内容创建者、熟练的调解员和其他学生总是愿意帮助您了解学习数据科学的一切。
Udacity概述
就像Dataquest一样 Udacity is an online education platform with numerous courses that individuals can enroll in to get well acquainted with academics related to any specific field. The name Udacity is derived from the owner’s objective and will to build a platform for inquisitive learners.
The tagline the company propagates is to be “audacious for you, the student.”
All courses have been conveniently segregated into levels to meet the needs of a newcomer to an expert. Based on your previous knowledge about a subject, you can select whether to do a beginner’s course or go deep into the subject with the advanced courses.
For certain courses, prerequisites for admission are mentioned. Some courses are free, but the nano degree courses are all paid courses.
另外，请阅读：
Udacity的各种学校：
Udacity Nano Degree 已经拓展并招募了多家开设不同课程的学校。 他们之中有一些是;
- School of Artificial Intelligence
- 云计算学院
- 汽车工程师学院
- 自治系统学院
- 商学院
- 数据分析学院
- 编程学院
Udacity 为各种课程提供奖学金机会。
选择在线学习课程可能会有点棘手。 在决定哪一个最适合您的需求之前，您需要考虑很多因素。
让我来分解一下学习数据科学课程的基本差异 Dataquest公司 和Udacity。
任何想要从这些平台中的任何一个学习数据科学课程的人都应该具备某些基本知识：
DataQuest 与 Udacity：定价
Both courses can be completed at one’s own feasible pace. So eventually it will cost you how much every time you take to complete the course. The less time you take, the less you will end up paying.
数据查询定价
Dataquest公司 每月收取49美元的费用。 这两个金额均未考虑任何折扣。 这是两个基本计划。 他们还会根据您选择的课程提供其他高级计划，收取更高的费用。
Udacity定价
两个平台上的同一门课程存在巨大的成本差异，而 Udacity 每月收取399美元的费用。
DataQuest 与 Udacity：提供的课程
DataQuest课程
Dataquest公司 为您作为 R 数据分析师、Python 数据分析师、Python 数据科学家和数据工程师开辟了一条职业道路。 他们提供的一些课程在下面列出。
- Python for Data Science：基础知识
- 学习Python编程的基础知识和学习数据科学。
- Python学习数据科学：中级
- Pandas和NumPy基础知识
- 通过数据可视化讲故事
- 了解用于在Python中清理数据分析的高级技术。
- 机器学习基础
- 数据清理与分析
- 探索性数据可视化
- Python中的数据清理：高级
您可以使用此链接访问完整列表：https://www.dataquest.io/directory/
基本要求
Those of you who wish to opt for Dataquest do not need any previous knowledge of coding. All you have to be acquainted with is your high school-level math.
Dataquest提供什么项目？
Dataquest provides a more interactive-based format for the project, which does not require a personal setup; it does not offer any means through which your projects can be reviewed. None of the projects you carry out are personally reviewed or checked.
Udacity课程
Udacity 提供学习数据科学的纳米学位课程。 以下是 Udacity 纳米学位提供的除数据科学之外的一些课程的列表。
- 遗传学入门
- Java编程简介：学习Java
- 计算机科学概论：构建搜索引擎
- 计算机课程设计：编程原理
- Web开发：如何建立博客
- 游戏开发：构建高性能Web应用程序
- 移动Web开发：构建移动Web体验
- 并行编程简介：使用CUDA来利用GPU的功能
- 软件测试：如何使软件失败
- 人工智能简介：AI级
- 交互式渲染：3D计算机图形学简介
- 理论计算机科学入门：处理挑战性问题
To find out which are the current ongoing learning data science courses at Udacity, Visit: https://www.udacity.com/school-of-data-science
基本要求
Individuals enrolling in Udacity are required to have previous experience with coding. Udacity Nanodegree requires the candidate to have experience in SQL, Python, and statistics. People with no previous knowledge will not be able to cope, considering the basics are not covered as a part of their courses.
是什么 Udacity 提供的项目吗？
Both platforms offer projects for individuals to keep a check on how much their academics are helping them practically and also so that they are able to eventually create a portfolio that will help them while applying for a job. With Udacity, all the projects are to be completed locally on your own personal computer.
Dataquest 与 Udacity： 职业指导
Both Udacity and Dataquest offer their assistance when it comes to finding you a job. They also help you review your resume.
The only major difference is that Udacity provides one-to-one career guidance to every individual. So, the guidance provided is case-specific, so the references you might get for getting a job may be specific and customized.
On the other hand, Dataquest has a career support cell, which is made available through their Dataquest community and career-focused Community mediators.
They help you get in touch with other people from the field so that you can interact with them and look for jobs, but they would not be helping you one-on-one with guidance.
什么是 指导与指导 提供了吗？
导师标准和一对一指导被认为是两个平台之间的主要区别之一。
Dataquest 有一个交互式在线社区，个人可以在其中寻求同一课程的其他学生或已经参加过该课程的其他学生以及在其特定领域有经验的数据科学家的支持、鼓励和激励。 Udacity arranges for a personal mentor for each and every student who has enrolled in the data science course.
据说这是某些人喜欢Udacity而不是Dataquest的主要原因，因为他们希望得到个人的指导。 据说它更加有效和有益。
谁是这些学习平台上的讲师？
The faculty and tutors in Dataquest are in-house. However, reviews have it that students are very satisfied with the in-house instructors.
另一方面，Udacity聘请了来自该领域的专业人士作为指导教师。 他们的专家讲师大多来自行业，例如Google。
提供哪些认证？
尽管Udacity曾经较早发行证书，但他们现在已停止发行证书。 即使您愿意付款，他们也不会为您提供结业证书。
Dataquest, on the other hand, provides all the students with a certificate at the end of the course, which can be downloaded in a PDF format or added to your LinkedIn. This certificate can be attached to your resume while applying for a job. It will definitely prove to be advantageous.
Dataquest 和 Udacity-Ratings
G2 和 Switch-up 是两个备受赞誉的平台，其评论在现实世界中是值得信赖的。
They are peer-to-peer review sites and can give you ratings and reviews about absolutely any software or course.
Both Udacity and Dataquest are highly rated. While Udacity was rated 4.3/5, average on G2, it was rated 4.45/5 on Switch Up. On the other hand, G2 rates Dataquest as 4.7/5. Dataquest was rated as 4.9/5 by Switch Up. Switch Up also awarded Dataquest as the best learning data science platform for students for three years at a stretch.
These readings only mean that Dataquest is getting better ratings and reviews from people using it, and thus, that is what is reflected on both G2 and Switch Up.
所以，如果你想学习更多关于数据科学课程的知识，或者即使你想对学习数据科学领域有基本的了解，如果你不想诉诸传统的学习方法，你绝对应该尝试探索这两种选择.
随着该领域工作机会的增加，学习新事物并跟上不断变化的时代是一个不错的选择。
DataQuest 与 Udacity：用户评论和推荐
常见问题解答：Dataquest 与 Udacity 比较
both两个平台都提供课程结业证书吗？
完成课程的证明仅由 Dataquest 提供。 Udacity 不向学习者提供证书，即使他们愿意为此付费。 但是他们在申请工作时得到了很好的认可和接受。
the平台还提供其他课程吗？
Dataquest offers courses specific to learning Data Science. All the courses provided are categorized under the main domain of Data Science. Meanwhile, Udacity has various courses in different schools and is not restricted to only data science. YOu can get more information on the links provided in the blog
the课程时间是多少？
All the courses on the platforms are self-paced, which means you can complete them as per your feasibility. There is no stipulated time as to when the courses have to be finished. But usually, the course takes about 4 to 6 months to complete, depending on one’s learning pace.
👉按课程收费吗？
您注册学习课程的费用按月收取。 您必须根据完成申请的课程所需的月数付费。
👉 Dataquest 物有所值吗？
毫无疑问，Dataquest 是值得的。 当您使用 Dataquest 的许多学习路径时，您将有机会使用真实世界的数据集并有动力完成与现实世界相关的项目，这使您有可能学习如何编码。
👉 Dataquest 让你做好工作准备了吗？
学生参加本课程是为了提高他们的专业知识，同时获得成为做好就业准备的数据科学家所需的培训。 这些课程涵盖了命令行、Python 和 SQL 的基础知识。 深度学习、Kaggle 和 Apache Spark 是学生用来研究概率、统计和机器学习的另外三种工具。
结论：Dataquest 与 Udacity 比较 2023
Udacity 和 Dataquest 都获得了以前学生的高于平均水平的评分，并为有兴趣参加数据科学课程的学生提供了多种绝佳选择。
When compared to Dataquest, the price of the Udacity option is significantly higher. You may spend eight to twenty-four times as much on Udacity as you would on Dataquest, depending on the level of prior knowledge you bring with you. You do get individualized guidance from a mentor as well as evaluations on your projects if you pay the additional fee.
另一方面，Dataquest 提供的课程屡获殊荣，并拥有成功学生成绩的记录。
There is no one-on-one support available. However, there are community resources and other resources available to assist you with both your education and your professional development.
如果您有动力这样做，Dataquest 可以帮助您以一小部分成本实现您的教育目标。
