我怎样才能成为一名数据科学家（二）
正文翻译
How can I become a data scientist?
我怎样才能成为一名数据科学家？
How can I become a data scientist?
我怎样才能成为一名数据科学家？
评论翻译
Anonymous
Data Science is tied in with the use of distinct procedures, calculations to break down some of the datasets (every organised and Unstructured), So to become a successful data scientist, you need to earn domain-specialised practical data science skills.
You can take help from professional training institutions like UpGrad, Learnbay, Edureka, etc.
Now let me share with you crucial points to become a data scientist,
数据科学与使用不同的程序和计算来分解一些数据集(每一个有组织的和非结构化的)，因此，要成为一名成功的数据科学家，你需要获得专业领域的实用数据科学技能。
你可以向专业培训机构寻求帮助，如UpGrad、Learnbay、Edureka等。
现在让我和你们分享成为一名数据科学家的要点：
Data Science is tied in with the use of distinct procedures, calculations to break down some of the datasets (every organised and Unstructured), So to become a successful data scientist, you need to earn domain-specialised practical data science skills.
You can take help from professional training institutions like UpGrad, Learnbay, Edureka, etc.
Now let me share with you crucial points to become a data scientist,
数据科学与使用不同的程序和计算来分解一些数据集(每一个有组织的和非结构化的)，因此，要成为一名成功的数据科学家，你需要获得专业领域的实用数据科学技能。
你可以向专业培训机构寻求帮助，如UpGrad、Learnbay、Edureka等。
现在让我和你们分享成为一名数据科学家的要点：
Here we go with some steps, where will help you to turn into a data scientist:-
Be plentifully mindful of exactly how math-weighty the data scientist vocation way is. Information science requires a high-level comprehension of math and overall comprehension of mainstream programming dialects.
Learn (and become capable) in SQL. SQL is the explicit area language used to remove information from data sets. SQL is not pretty much as unpredictable as most automatic dialects, yet it is an unquestionable requirement to learn for anyone working stringently with enormous datasets and investigation.
Study AI. Information science supports AI, how data scientists need to show and build up their insight into AI calculations, AI models, just as measurements.
Get some insight as a Data analyst. Learning the fundamentals of recognising patterns inside information is critical to turning into a fruitful data scientist. Many data scientists start as information examiners and proceed with their schooling in programming as they go.
Complete an industry-ready course related to required skills, mainly in data science. While most data scientists feel certain about their capacities, some require direction and preparation with modern calculations and devices. Taking on the Online Data science boot camps is typical among the present data scientists hoping to support their numerical and automatic establishments.
To turn into a complete data scientist, you ought to have the accompanying required abilities:
下面我们将介绍一些步骤，这些步骤将帮助你成为一名数据科学家：
要充分意识到数据科学家职业中数学的重要性。信息科学需要对数学有高度的理解，并对主流编程语言做到全面的理解。
学习结构化查询语言（Structured Query Language）并变得有能力。结构化查询语言是用于从数据集中删除信息的明确的区域语言。结构化查询语言并不像大多数自动语言那样不可预测，但对于任何一个严格处理大量数据集和调查的人来说，学习结构化查询语言无疑是一项要求。
学习人工智能。信息科学支持人工智能，数据科学家需要如何展示和建立他们对人工智能计算、人工智能模型以及测量的洞察力。
作为一名数据分析师，了解一些情况。学习识别内部信息模式的基础知识对于成为一名卓有成效的数据科学家至关重要。许多数据科学家一开始是作为信息审查员，然后继续学习编程。
完成与所需技能相关的行业准备课程，主要是数据科学。虽然大多数数据科学家对自己的能力有信心，但有些数据科学家需要现代计算和设备的指导和准备。参加在线数据科学训练营是当前数据科学家希望支持其数字和自动化设施的典型做法。
要成为一名合格的数据科学家，你应该具备相应的能力：
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
Be plentifully mindful of exactly how math-weighty the data scientist vocation way is. Information science requires a high-level comprehension of math and overall comprehension of mainstream programming dialects.
Learn (and become capable) in SQL. SQL is the explicit area language used to remove information from data sets. SQL is not pretty much as unpredictable as most automatic dialects, yet it is an unquestionable requirement to learn for anyone working stringently with enormous datasets and investigation.
Study AI. Information science supports AI, how data scientists need to show and build up their insight into AI calculations, AI models, just as measurements.
Get some insight as a Data analyst. Learning the fundamentals of recognising patterns inside information is critical to turning into a fruitful data scientist. Many data scientists start as information examiners and proceed with their schooling in programming as they go.
Complete an industry-ready course related to required skills, mainly in data science. While most data scientists feel certain about their capacities, some require direction and preparation with modern calculations and devices. Taking on the Online Data science boot camps is typical among the present data scientists hoping to support their numerical and automatic establishments.
To turn into a complete data scientist, you ought to have the accompanying required abilities:
下面我们将介绍一些步骤，这些步骤将帮助你成为一名数据科学家：
要充分意识到数据科学家职业中数学的重要性。信息科学需要对数学有高度的理解，并对主流编程语言做到全面的理解。
学习结构化查询语言（Structured Query Language）并变得有能力。结构化查询语言是用于从数据集中删除信息的明确的区域语言。结构化查询语言并不像大多数自动语言那样不可预测，但对于任何一个严格处理大量数据集和调查的人来说，学习结构化查询语言无疑是一项要求。
学习人工智能。信息科学支持人工智能，数据科学家需要如何展示和建立他们对人工智能计算、人工智能模型以及测量的洞察力。
作为一名数据分析师，了解一些情况。学习识别内部信息模式的基础知识对于成为一名卓有成效的数据科学家至关重要。许多数据科学家一开始是作为信息审查员，然后继续学习编程。
完成与所需技能相关的行业准备课程，主要是数据科学。虽然大多数数据科学家对自己的能力有信心，但有些数据科学家需要现代计算和设备的指导和准备。参加在线数据科学训练营是当前数据科学家希望支持其数字和自动化设施的典型做法。
要成为一名合格的数据科学家，你应该具备相应的能力：
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
Programming abilities
Data science normally need to grandstand a mix of PythonPython and R programming, just as comprehension of Hadoop, SQL, and AI/AI calculations. Therefore, data scientists should have a portfolio prepared that features their ability there as computer programmers.
Relational abilities
Correspondence, show ability, and multi-useful cooperation are on the whole delicate abilities that sextion representatives search for in data scientist . Data scientists are the medium between business obxtives and item technique;
Information/Data representation
While not automatic, having an inside and out comprehension of information perception devices like Tableau and Chartist is essential to accomplishing a data scientist and an unquestionable requirement on the resume.
编程能力
数据科学通常需要综合运用PythonPython和R编程语言，就像对分布式计算、结构化查询语言和人工智能以及人工智能计算的理解一样。因此，数据科学家应该准备一份档案，展示他们作为计算机程序员的能力。
关系能力
通信能力、展示能力和多用途合作是选拔代表在数据科学家时寻找的基本微妙能力。数据科学家是商业目标和项目技术之间的媒介；
信息/数据表示
虽然不是自动的，但对Tableau和ChartList等信息感知设备有一个全面的理解，这是成为一名数据科学家的必要条件，也是简历上毫无疑问的要求。
Data science normally need to grandstand a mix of PythonPython and R programming, just as comprehension of Hadoop, SQL, and AI/AI calculations. Therefore, data scientists should have a portfolio prepared that features their ability there as computer programmers.
Relational abilities
Correspondence, show ability, and multi-useful cooperation are on the whole delicate abilities that sextion representatives search for in data scientist . Data scientists are the medium between business obxtives and item technique;
Information/Data representation
While not automatic, having an inside and out comprehension of information perception devices like Tableau and Chartist is essential to accomplishing a data scientist and an unquestionable requirement on the resume.
编程能力
数据科学通常需要综合运用PythonPython和R编程语言，就像对分布式计算、结构化查询语言和人工智能以及人工智能计算的理解一样。因此，数据科学家应该准备一份档案，展示他们作为计算机程序员的能力。
关系能力
通信能力、展示能力和多用途合作是选拔代表在数据科学家时寻找的基本微妙能力。数据科学家是商业目标和项目技术之间的媒介；
信息/数据表示
虽然不是自动的，但对Tableau和ChartList等信息感知设备有一个全面的理解，这是成为一名数据科学家的必要条件，也是简历上毫无疑问的要求。
Business system. Data scientists offer significance to information. Exhibiting a more profound comprehension of an organisation's business obxtives—and how that can be depicted through huge information—is more for spotters hoping to enlist data scientists.
It'sIt's not, for the most part, static, yet rather a data scientist's master commitments typically will join the going with:
业务系统，数据科学家提供信息的重要性。对于希望招募数据科学家的观测者来说，展示出对组织商业目标更深刻的理解—以及如何通过大量的信息来描述这种理解。
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
It'sIt's not, for the most part, static, yet rather a data scientist's master commitments typically will join the going with:
业务系统，数据科学家提供信息的重要性。对于希望招募数据科学家的观测者来说，展示出对组织商业目标更深刻的理解—以及如何通过大量的信息来描述这种理解。
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
Data getting and battling
A data specialist will reliably be expecting to discover and facilitate new fitting datasets into their affiliation's database.
After the acquiring, a data analyst will battle (clean) the data.
Data incorporation and capacity
Data scientists often connect with data sets and work to keep them coordinated.
Information investigation and Calculating
Data scientists examine and decipher information as needed to make prescient determinations. Data scientists will construct calculations that can control information for items.
数据获取和数据清理
数据专家将可靠地期望发现并促进将新的数据集整合到他们所属的数据库中。
获得数据之后，数据分析师将对数据进行清理。
数据合并和生产能力
数据科学家经常与数据集联系，并努力使它们保持协调。
信息调查与计算
数据科学家根据需要检查和破译信息，以做出有预见性的决定。数据科学家将构建能够控制项目信息的计算。
A data specialist will reliably be expecting to discover and facilitate new fitting datasets into their affiliation's database.
After the acquiring, a data analyst will battle (clean) the data.
Data incorporation and capacity
Data scientists often connect with data sets and work to keep them coordinated.
Information investigation and Calculating
Data scientists examine and decipher information as needed to make prescient determinations. Data scientists will construct calculations that can control information for items.
数据获取和数据清理
数据专家将可靠地期望发现并促进将新的数据集整合到他们所属的数据库中。
获得数据之后，数据分析师将对数据进行清理。
数据合并和生产能力
数据科学家经常与数据集联系，并努力使它们保持协调。
信息调查与计算
数据科学家根据需要检查和破译信息，以做出有预见性的决定。数据科学家将构建能够控制项目信息的计算。
I have mentioned' ' Complete an industry-ready course '' above. Coming to this point, I suggest you look at some best institutes and courses relevant to data science to become data scientists.
Here, we go with some best online courses,
我在上面提到过“完成一门为行业做好准备的课程”。说到这一点，我建议你看看一些与数据科学相关的最好的机构和课程，以便成为数据科学家。
在这里，我们列出了一些最好的在线课程，
Here, we go with some best online courses,
我在上面提到过“完成一门为行业做好准备的课程”。说到这一点，我建议你看看一些与数据科学相关的最好的机构和课程，以便成为数据科学家。
在这里，我们列出了一些最好的在线课程，
Learnbay(recommended for working pros):
Firstly, let me start with Why I suggested this platform? In a single word, I can say that by using this platform, you can create a sensational career where you can't even smell what failure is. You complete guidance with many flexibilities in every course provided by Learnbay. Let us go deep into the best courses they provide,
Fundamental Training in Data Science and AI for 1+ years experience pros in any domain
This is a domain elective module associated course to mentor the experienced professional with the most lucrative and sustainable data science career switch. This course lasts for 7.5 months and costs approx 65,000 INR.
Data Science & AI Certification Program For Managers and Leaders
This program is designed for professionals working with 8+ years of experience in any domain and approaching the leadership designation but wants to shift into the data science field without any kind of position degradation. This is an 11-month program and costs around 79000/-
Learnbay（推荐职业选手使用）：
首先，让我从我为什么提出这个平台开始？一句话，我可以说，通过使用这个平台，你可以创造一个激动人心的职业生涯，你甚至几乎不会失败。在Learnbay提供的每门课程中，你都可以灵活地完成指导，让我们深入了解他们提供的最佳课程。
数据科学和人工智能基础培训1年以上任何领域的专业人员经验
这是一门领域选修模块相关课程，指导经验丰富的专业人士进行最有利可图和可持续的数据科学职业转换，本课程为期7.5个月，费用约为65000卢比。
面向管理者和领导者的数据科学和人工智能认证计划
该课程专为在任何领域拥有8年以上工作经验并接近领导地位的专业人士设计，这些人希望在不降低职位的情况下进入数据科学领域。这是一个为期11个月的项目，费用约为79000卢比。
Firstly, let me start with Why I suggested this platform? In a single word, I can say that by using this platform, you can create a sensational career where you can't even smell what failure is. You complete guidance with many flexibilities in every course provided by Learnbay. Let us go deep into the best courses they provide,
Fundamental Training in Data Science and AI for 1+ years experience pros in any domain
This is a domain elective module associated course to mentor the experienced professional with the most lucrative and sustainable data science career switch. This course lasts for 7.5 months and costs approx 65,000 INR.
Data Science & AI Certification Program For Managers and Leaders
This program is designed for professionals working with 8+ years of experience in any domain and approaching the leadership designation but wants to shift into the data science field without any kind of position degradation. This is an 11-month program and costs around 79000/-
Learnbay（推荐职业选手使用）：
首先，让我从我为什么提出这个平台开始？一句话，我可以说，通过使用这个平台，你可以创造一个激动人心的职业生涯，你甚至几乎不会失败。在Learnbay提供的每门课程中，你都可以灵活地完成指导，让我们深入了解他们提供的最佳课程。
数据科学和人工智能基础培训1年以上任何领域的专业人员经验
这是一门领域选修模块相关课程，指导经验丰富的专业人士进行最有利可图和可持续的数据科学职业转换，本课程为期7.5个月，费用约为65000卢比。
面向管理者和领导者的数据科学和人工智能认证计划
该课程专为在任何领域拥有8年以上工作经验并接近领导地位的专业人士设计，这些人希望在不降低职位的情况下进入数据科学领域。这是一个为期11个月的项目，费用约为79000卢比。
Learnbay seems to be the most promising option to me for approaching a secure data scientist career because of the following features:
Instructor-led intuitive program with live and interactive training-
If you want, you can choose a complete offline or blended learning format. But in case you choose a fully online learning mode. Still, you get live and interactive classes only. All the Learnbay data science classes are led by 8+ years of experienced data scientists, ML experts from top MNCs, BITS Pilani alumni. You can clear all of your doubts instantly. Due to the expertise level of the instructor, you get the most trending and demanding solutions to all of your queries.
Learnbay对我来说似乎是最有前途的选择，因为它具有以下特点：
讲师指导的直观课程，提供实时互动培训；
如果你愿意，你可以选择完整的离线或混合学习模式。但如果你选择了完全在线的学习模式。不过，你只能上直播和互动课程。所有Learnbay数据科学课程都由8年以上经验丰富的数据科学家、顶级跨国公司的机器语言专家、BITS Pilani的校友领导。你可以立即消除所有疑虑。由于讲师的专业水平，你可以获得针对所有问题的最具趋势性和最亟待解决的方案。
Instructor-led intuitive program with live and interactive training-
If you want, you can choose a complete offline or blended learning format. But in case you choose a fully online learning mode. Still, you get live and interactive classes only. All the Learnbay data science classes are led by 8+ years of experienced data scientists, ML experts from top MNCs, BITS Pilani alumni. You can clear all of your doubts instantly. Due to the expertise level of the instructor, you get the most trending and demanding solutions to all of your queries.
Learnbay对我来说似乎是最有前途的选择，因为它具有以下特点：
讲师指导的直观课程，提供实时互动培训；
如果你愿意，你可以选择完整的离线或混合学习模式。但如果你选择了完全在线的学习模式。不过，你只能上直播和互动课程。所有Learnbay数据科学课程都由8年以上经验丰富的数据科学家、顶级跨国公司的机器语言专家、BITS Pilani的校友领导。你可以立即消除所有疑虑。由于讲师的专业水平，你可以获得针对所有问题的最具趋势性和最亟待解决的方案。
Learn through hands-on experience-
You will get active involvement in 12+ trending industrial projects of several MNCs and two to three capstones. According to the industrial prerequisite, 2 or 3 modules are not adequate. Henceforth they offer a Full Stack program uniquely created for working experts.
1:1 learning support to every student-
Learnbay always keeps its batch size small and ensures that each student gets personalised learning assistance. Even beyond the class, you can reach the instructor directly. Besides, you get scheduled 1 to 1 meeting for sub-modules wise doubt discussion at the end of every sub-module.
通过亲身体验学习
你将积极参与多家跨国公司和两三家顶尖企业的趋势产业项目且超过12个。根据行业先决条件，2或3个模组是不够的。今后，他们提供了一个专为在职专家设计的全套程序。
为每位学生提供1对1的学习支持；
Learnbay始终保持小批量，并确保每个学生都能获得个性化的学习帮助。即使在课堂之外，你也可以直接联系到老师。此外，在每个子模块结束时，你会安排一对一的子模块讨论会议。
You will get active involvement in 12+ trending industrial projects of several MNCs and two to three capstones. According to the industrial prerequisite, 2 or 3 modules are not adequate. Henceforth they offer a Full Stack program uniquely created for working experts.
1:1 learning support to every student-
Learnbay always keeps its batch size small and ensures that each student gets personalised learning assistance. Even beyond the class, you can reach the instructor directly. Besides, you get scheduled 1 to 1 meeting for sub-modules wise doubt discussion at the end of every sub-module.
通过亲身体验学习
你将积极参与多家跨国公司和两三家顶尖企业的趋势产业项目且超过12个。根据行业先决条件，2或3个模组是不够的。今后，他们提供了一个专为在职专家设计的全套程序。
为每位学生提供1对1的学习支持；
Learnbay始终保持小批量，并确保每个学生都能获得个性化的学习帮助。即使在课堂之外，你也可以直接联系到老师。此外，在每个子模块结束时，你会安排一对一的子模块讨论会议。
Special free of cost added modules for programming novice-
Learnbay provides special training for non-programmers with a special module included in the syllabus where people with no coding background can learn and dive into this course. It’s a 10 hours long course that trains you from the very basics of python.
Perfectly industry demanding training with domain-elective-
It gives domain elective specialisation courses where one can be perfect in Data science and their specialised domain, and you can get more attractive training with this opportunity.
专门为编程新手免费添加的模块
Learnbay为非程序员提供特殊培训，课程大纲中包含一个特殊模块，没有编码背景的人可以学习并深入学习本课程。这是一个10小时的课程，从python的基础知识开始训练。
完美的行业要求培训和领域选修课
它提供了领域选修专业课程，在这些课程中，你可以在数据科学及其专业领域取得完美的成绩，你可以借此机会获得更具吸引力的培训。
Learnbay provides special training for non-programmers with a special module included in the syllabus where people with no coding background can learn and dive into this course. It’s a 10 hours long course that trains you from the very basics of python.
Perfectly industry demanding training with domain-elective-
It gives domain elective specialisation courses where one can be perfect in Data science and their specialised domain, and you can get more attractive training with this opportunity.
专门为编程新手免费添加的模块
Learnbay为非程序员提供特殊培训，课程大纲中包含一个特殊模块，没有编码背景的人可以学习并深入学习本课程。这是一个10小时的课程，从python的基础知识开始训练。
完美的行业要求培训和领域选修课
它提供了领域选修专业课程，在这些课程中，你可以在数据科学及其专业领域取得完美的成绩，你可以借此机会获得更具吸引力的培训。
Anonymous
Becoming a data scientist might seem quite easy if you immensely follow the massive promotion of several data science courses by different institutes. Plenty of ed-tech platforms and professional training institutes nowadays provide lucrative data science courses with taglines like 'anyone can become data scientist' or 'become a data scientist in 2 months, etc.
However, the fact is ‘data science is not for everyone.' There are indeed no such hard technical prerequisites you need. Still, the most important thing is you need at least the basic knowledge of statistics and the ability to adapt the data science technical skills concerning your working domain.
Proper guidance is the key to becoming a promising data scientist. Many renowned platforms like Simplilearn, Edureka, Learnbay, Upgrad offer effective and career-shaping data science courses. But to maintain the proper share of your data science career, you need to choose the best-fit one.
Alternatively, you can take the self-paced 9 steps to reach your goal. Below are the 9-steps.
如果你非常关注不同机构大力推广的数据科学课程，成为一名数据科学家似乎很容易。如今，许多教育技术平台和专业培训机构提供利润丰厚的数据科学课程，其口号是“任何人都可以成为数据科学家”或“在2个月内成为数据科学家”，等等。
然而，事实是“数据科学并不适合所有人”实际上，你不需要这样的硬技术先决条件。不过，最重要的是，你至少需要统计学的基本知识，以及适应工作领域数据科学技术技能的能力。
正确的指导是成为有前途的数据科学家的关键。许多著名的平台，如Simplilearn、Edureka、Learnbay、Upgrad，都提供有效的、塑造职业生涯的数据科学课程。但是，为了在数据科学职业生涯中保持适当的份额，你需要选择最合适的课程。
或者，你也可以按照自己的步调来实现你的目标，下面是9个步骤：
Becoming a data scientist might seem quite easy if you immensely follow the massive promotion of several data science courses by different institutes. Plenty of ed-tech platforms and professional training institutes nowadays provide lucrative data science courses with taglines like 'anyone can become data scientist' or 'become a data scientist in 2 months, etc.
However, the fact is ‘data science is not for everyone.' There are indeed no such hard technical prerequisites you need. Still, the most important thing is you need at least the basic knowledge of statistics and the ability to adapt the data science technical skills concerning your working domain.
Proper guidance is the key to becoming a promising data scientist. Many renowned platforms like Simplilearn, Edureka, Learnbay, Upgrad offer effective and career-shaping data science courses. But to maintain the proper share of your data science career, you need to choose the best-fit one.
Alternatively, you can take the self-paced 9 steps to reach your goal. Below are the 9-steps.
如果你非常关注不同机构大力推广的数据科学课程，成为一名数据科学家似乎很容易。如今，许多教育技术平台和专业培训机构提供利润丰厚的数据科学课程，其口号是“任何人都可以成为数据科学家”或“在2个月内成为数据科学家”，等等。
然而，事实是“数据科学并不适合所有人”实际上，你不需要这样的硬技术先决条件。不过，最重要的是，你至少需要统计学的基本知识，以及适应工作领域数据科学技术技能的能力。
正确的指导是成为有前途的数据科学家的关键。许多著名的平台，如Simplilearn、Edureka、Learnbay、Upgrad，都提供有效的、塑造职业生涯的数据科学课程。但是，为了在数据科学职业生涯中保持适当的份额，你需要选择最合适的课程。
或者，你也可以按照自己的步调来实现你的目标，下面是9个步骤：
Understanding the basics of data science.
Understanding the job market of data science.
Self-accessing the ability to work with vast amounts of data continuously.
Learning statistics for data science.
Learning the statistical application of programming.
Learning data science management systems.
Learning the data science tools.
Learning machine learning algorithms and ML models.
Completing a high demand and future proof data science project.
Although these 9 steps sound very easy, and even so many career coaches encourage people to carry out a self-paced data science career transition, in reality, it's not that easy.
了解数据科学的基础知识。
了解数据科学的就业市场。
自我访问—能够连续处理大量数据。
学习数据科学的统计学。
学习编程的统计应用。
学习数据科学管理系统。
学习数据科学工具。
学习机器学习算法和机器语言模型。
完成一个高需求、经得起未来考验的数据科学项目。
虽然这9个步骤听起来很简单，而且即使有这么多职业教练也鼓励人们按照自己的节奏进行数据科学职业过渡，但实际上，这并不是那么容易。
Understanding the job market of data science.
Self-accessing the ability to work with vast amounts of data continuously.
Learning statistics for data science.
Learning the statistical application of programming.
Learning data science management systems.
Learning the data science tools.
Learning machine learning algorithms and ML models.
Completing a high demand and future proof data science project.
Although these 9 steps sound very easy, and even so many career coaches encourage people to carry out a self-paced data science career transition, in reality, it's not that easy.
了解数据科学的基础知识。
了解数据科学的就业市场。
自我访问—能够连续处理大量数据。
学习数据科学的统计学。
学习编程的统计应用。
学习数据科学管理系统。
学习数据科学工具。
学习机器学习算法和机器语言模型。
完成一个高需求、经得起未来考验的数据科学项目。
虽然这9个步骤听起来很简单，而且即使有这么多职业教练也鼓励人们按照自己的节奏进行数据科学职业过渡，但实际上，这并不是那么容易。
So, suppose you are serious about grabbing a lucrative data scientist role at the earliest possible time (taking 2 to 3 years to become a data scientist from now is not a good idea). In that case, It's always recommended that you opt for an instructor-led and time-bound data science training course. Even in my opinion, this is the most effective way to become a successful data scientist. But yes, always keep in mind that you need to choose only data science courses that offer domain-oriented data science learning modules and career assistance.
Apart from all the valuable options, I would recommend Learnbay data science courses if you want a fast-growing and highly sustainable data science career transition.
How can Learnbay (IBM Collaborated) help you to become a demanding data scientist?
You can consider the Learnbay data science courses (highly recommended for working pros) as the power-packed option from this perspective. Apart from the highly competitive learning modules and direct MNC project opportunities, you will get dedicated and personalised career assistance and placement support.
因此，假设你真的想尽早获得一个有利可图的数据科学家的职位（从现在开始花2到3年时间成为一名数据科学家不是一个好主意）。在这种情况下，始终建议你选择讲师指导的、有时间限制的数据科学培训课程。即使在我看来，这也是成为一名成功的数据科学家最有效的方法。但是，请务必记住，你只需要选择提供面向领域的数据科学学习模块和职业帮助的数据科学课程。
除了所有有价值的选择之外，如果你想要向快速增长和高度可持续的数据科学职业过渡，我建议你学习Learnbay数据科学课程。
Learnbay（IBM合作单位）如何帮助您成为一名要求苛刻的数据科学家？
从这个角度来看，你可以把SeleNayBayData科学课程（强烈推荐给职场人士）从这个角度来看，这是一个及其不错的选择。除了竞争激烈的学习模块和直接的跨国公司项目机会外，你还将获得专门的个性化职业帮助和支持就业分配。
Apart from all the valuable options, I would recommend Learnbay data science courses if you want a fast-growing and highly sustainable data science career transition.
How can Learnbay (IBM Collaborated) help you to become a demanding data scientist?
You can consider the Learnbay data science courses (highly recommended for working pros) as the power-packed option from this perspective. Apart from the highly competitive learning modules and direct MNC project opportunities, you will get dedicated and personalised career assistance and placement support.
因此，假设你真的想尽早获得一个有利可图的数据科学家的职位（从现在开始花2到3年时间成为一名数据科学家不是一个好主意）。在这种情况下，始终建议你选择讲师指导的、有时间限制的数据科学培训课程。即使在我看来，这也是成为一名成功的数据科学家最有效的方法。但是，请务必记住，你只需要选择提供面向领域的数据科学学习模块和职业帮助的数据科学课程。
除了所有有价值的选择之外，如果你想要向快速增长和高度可持续的数据科学职业过渡，我建议你学习Learnbay数据科学课程。
Learnbay（IBM合作单位）如何帮助您成为一名要求苛刻的数据科学家？
从这个角度来看，你可以把SeleNayBayData科学课程（强烈推荐给职场人士）从这个角度来看，这是一个及其不错的选择。除了竞争激烈的学习模块和直接的跨国公司项目机会外，你还将获得专门的个性化职业帮助和支持就业分配。
Below are the Learnbay data science course features:
以下是Learnbay数据科学课程的特点：
以下是Learnbay数据科学课程的特点：
Domain-driven learning modules:
Switching to the data science career from the marketing and sales domain will need a completely different data science skill than switching from the manufacturing domain. While other institutes ignore this fact and dump everyone into the same course, Learnbay offers solely customised data science learning modules that make you the master of data sciences skill in your domain. Apart from the most common domains like HR, Marketing and sales, BFSI industry, Learnbay data science courses also provide specialised courses on the domains like Manufacturing, telecommunication, media and hospitality, travel, health care, and even oil and gas.
Domain-driven project specialisation:
Conceptual skills alone are not worth a penny in the data science field, and hence project experience matters a lot in a data scientist career. But doing a project from the BFSI domain is not worth it for an aspirant holding 3 years of experience in the manufacturing domain. At Learnbay, you not only get unique and expert guidance projects pursuing scopes, but the project you do will also certainly benefit your industry's business process. You can even pressure projects with your own ideas.
领域驱动学习模块：
从营销和销售领域转向数据科学职业需要与从制造领域转向完全不同的数据科学技能。虽然其他研究所忽视了这一事实，将所有人都甩到同一门课程中，但Learnbay提供了完全定制的数据科学学习模块，让你成为所在领域的数据科学技能大师。除了人力资源、营销和销售、金融服务和保险业等最常见的领域外，Learnbay数据科学课程还提供制造、电信、媒体和酒店、旅游、医疗保健，甚至石油和天然气等领域的专业课程。
领域驱动的项目专业化：
在数据科学领域，概念技能一文不值，因此项目经验在数据科学家的职业生涯中非常重要。但是，对于一个在制造领域拥有3年经验的有抱负的人来说，在金融服务和保险业领域做一个项目是不值得的。在Learnbay，你不仅可以获得独特的专家指导项目，而且你所做的项目也肯定会有益于你所在行业的业务流程。你甚至可以用自己的想法给项目施加压力。
Switching to the data science career from the marketing and sales domain will need a completely different data science skill than switching from the manufacturing domain. While other institutes ignore this fact and dump everyone into the same course, Learnbay offers solely customised data science learning modules that make you the master of data sciences skill in your domain. Apart from the most common domains like HR, Marketing and sales, BFSI industry, Learnbay data science courses also provide specialised courses on the domains like Manufacturing, telecommunication, media and hospitality, travel, health care, and even oil and gas.
Domain-driven project specialisation:
Conceptual skills alone are not worth a penny in the data science field, and hence project experience matters a lot in a data scientist career. But doing a project from the BFSI domain is not worth it for an aspirant holding 3 years of experience in the manufacturing domain. At Learnbay, you not only get unique and expert guidance projects pursuing scopes, but the project you do will also certainly benefit your industry's business process. You can even pressure projects with your own ideas.
领域驱动学习模块：
从营销和销售领域转向数据科学职业需要与从制造领域转向完全不同的数据科学技能。虽然其他研究所忽视了这一事实，将所有人都甩到同一门课程中，但Learnbay提供了完全定制的数据科学学习模块，让你成为所在领域的数据科学技能大师。除了人力资源、营销和销售、金融服务和保险业等最常见的领域外，Learnbay数据科学课程还提供制造、电信、媒体和酒店、旅游、医疗保健，甚至石油和天然气等领域的专业课程。
领域驱动的项目专业化：
在数据科学领域，概念技能一文不值，因此项目经验在数据科学家的职业生涯中非常重要。但是，对于一个在制造领域拥有3年经验的有抱负的人来说，在金融服务和保险业领域做一个项目是不值得的。在Learnbay，你不仅可以获得独特的专家指导项目，而且你所做的项目也肯定会有益于你所在行业的业务流程。你甚至可以用自己的想法给项目施加压力。
Live and fully interactive online classes, still as per your time convenience:
You can choose either the complete online or blended learning mode. Whatever option you go with, you get a similar interactive experience. You can even switch between batches without any difficulties as per your office workload or timings. Even it may be possible you remain unclear about a whole topic session due to some reason. You can attend the same sessions instructed by other tutors until you feel confident about the topic. The Flexi class attending subscxtion you get for 1.5 or 2 years, depending on the course you choose. So, no headache of discontinuing the course due to excessive work pressure or any other emergency.
实时和完全互动的在线课程，还是根据你的时间方便：
你可以选择完整的在线学习模式或混合学习模式。无论你选择什么，你都会得到类似的互动体验。你甚至可以根据办公室工作量或时间安排在批次之间切换，而不会遇到任何困难。即使是因为某些原因，你也可能对整个主题课程不清楚。你可以参加其他导师指导的相同课程，直到你对这个话题有信心为止。根据你选择的课程，你可以灵活订阅1.5年或2年的课程。因此，不会因为过度的工作压力或任何其他紧急情况而中断课程。
You can choose either the complete online or blended learning mode. Whatever option you go with, you get a similar interactive experience. You can even switch between batches without any difficulties as per your office workload or timings. Even it may be possible you remain unclear about a whole topic session due to some reason. You can attend the same sessions instructed by other tutors until you feel confident about the topic. The Flexi class attending subscxtion you get for 1.5 or 2 years, depending on the course you choose. So, no headache of discontinuing the course due to excessive work pressure or any other emergency.
实时和完全互动的在线课程，还是根据你的时间方便：
你可以选择完整的在线学习模式或混合学习模式。无论你选择什么，你都会得到类似的互动体验。你甚至可以根据办公室工作量或时间安排在批次之间切换，而不会遇到任何困难。即使是因为某些原因，你也可能对整个主题课程不清楚。你可以参加其他导师指导的相同课程，直到你对这个话题有信心为止。根据你选择的课程，你可以灵活订阅1.5年或2年的课程。因此，不会因为过度的工作压力或任何其他紧急情况而中断课程。
End-to-end career assistance:
Starting from the data science career counselling to landing on your first data science job role- everything will get planned by Learnbay as per your expectations. In personalised career counselling, you get to know which data science job role is and the course is perfect for you. Gradually you undergo a custom-fit career transition training based on your qualifications, background, current designation, and targeted job role. Mock interview support, resume preparation, project portfolio designing, everything will be guided.
点对点的职业援助：
从数据科学职业咨询开始，到你的第一份数据科学工作：一切都将由Learnbay按照你的期望进行规划。在个性化的职业咨询中，你可以了解数据科学的工作角色，这门课程非常适合你。根据你的资历、背景、当前职位和目标工作角色，你会逐渐接受定制的职业过渡培训：模拟面试支持，简历准备，项目组合设计，一切都将得到指导。
Starting from the data science career counselling to landing on your first data science job role- everything will get planned by Learnbay as per your expectations. In personalised career counselling, you get to know which data science job role is and the course is perfect for you. Gradually you undergo a custom-fit career transition training based on your qualifications, background, current designation, and targeted job role. Mock interview support, resume preparation, project portfolio designing, everything will be guided.
点对点的职业援助：
从数据科学职业咨询开始，到你的第一份数据科学工作：一切都将由Learnbay按照你的期望进行规划。在个性化的职业咨询中，你可以了解数据科学的工作角色，这门课程非常适合你。根据你的资历、背景、当前职位和目标工作角色，你会逐渐接受定制的职业过渡培训：模拟面试支持，简历准备，项目组合设计，一切都将得到指导。
Free add-on training to non-coders:
It may be possible that you don't hold technical domain work experience and hence are new to programming. Prior to the main classes, Learnbay offers you 4 days of preparatory coding classes free of cost, where you learn the required programming basics. These modules are also associated with plenty of practice assignments that will help you to hone your programming skills before diving into the core data science modules.
为非编程人员提供免费附加培训：
你可能没有技术领域的工作经验，因此不熟悉编程。在主课之前，Learnbay免费为你提供4天的预科编程课程，你可以在此学习所需的编程基础知识。这些模块还与大量实践作业相关联，这些作业将帮助你在进入核心数据科学模块之前磨练编程技能。
It may be possible that you don't hold technical domain work experience and hence are new to programming. Prior to the main classes, Learnbay offers you 4 days of preparatory coding classes free of cost, where you learn the required programming basics. These modules are also associated with plenty of practice assignments that will help you to hone your programming skills before diving into the core data science modules.
为非编程人员提供免费附加培训：
你可能没有技术领域的工作经验，因此不熟悉编程。在主课之前，Learnbay免费为你提供4天的预科编程课程，你可以在此学习所需的编程基础知识。这些模块还与大量实践作业相关联，这些作业将帮助你在进入核心数据科学模块之前磨练编程技能。
courses with larger ROI:
At present, for data scientist role, Learnbay offers three-course-
Data science and AI Certification program for 1+ years experienced pros at the cost of 65K INR.
Data Science and AI program for managers and leaders at the cost of 79K INR.
Data Science and Business analytics fast track course for early pros at the cost of 50K.
Each of the courses offers full-stack and domain-bound data science training with assured placement support and lots of learning flexibility.
Apart from the above unique learning benefits, you get features like lifetime access to all the learning contents and a recorded copy of your accessed live sessions. For assignment submissions or project work, the tech support of Learnbay remains 24 hours live for all 7 days a week.
However, if you have just started your career and want to switch to the data science world, the career track will be different. Instead of domain-specific training, you may need more generalised training. For that, Simplilearn can be a better option.
Hope my answer helps. You can ask me if you have any further queries, and I am happy to help.
课程投资回报率更高：
目前，对于数据科学家的角色，Learnbay提供三门课程
数据科学和人工智能认证项目1年以上经验丰富的专业人士，费用为6.5万卢比。
为管理者和领导者提供数据科学和人工智能项目，费用为7900卢比。
为早期专业人士提供数据科学和商业分析快速通道课程，费用为5万美元。
每门课程都提供完整的堆栈和领域数据科学培训，并提供可靠的就业支持和大量学习灵活性。
除了上述独特的学习优势外，你还可以终身访问所有学习内容，并获得访问的实时会话的记录副本。对于作业提交或项目工作，Learnbay的技术支持每周7天保持24小时在线。
然而，如果你刚刚开始你的职业生涯，并想转行到数据科学领域，职业轨迹将有所不同。与特定领域的培训不同，你可能需要更全面的培训。因此，SimpleArn可能是一个更好的选择。
希望我的回答能有所帮助。如果你还有任何疑问，可以问我，我很乐意为你提供帮助。
At present, for data scientist role, Learnbay offers three-course-
Data science and AI Certification program for 1+ years experienced pros at the cost of 65K INR.
Data Science and AI program for managers and leaders at the cost of 79K INR.
Data Science and Business analytics fast track course for early pros at the cost of 50K.
Each of the courses offers full-stack and domain-bound data science training with assured placement support and lots of learning flexibility.
Apart from the above unique learning benefits, you get features like lifetime access to all the learning contents and a recorded copy of your accessed live sessions. For assignment submissions or project work, the tech support of Learnbay remains 24 hours live for all 7 days a week.
However, if you have just started your career and want to switch to the data science world, the career track will be different. Instead of domain-specific training, you may need more generalised training. For that, Simplilearn can be a better option.
Hope my answer helps. You can ask me if you have any further queries, and I am happy to help.
课程投资回报率更高：
目前，对于数据科学家的角色，Learnbay提供三门课程
数据科学和人工智能认证项目1年以上经验丰富的专业人士，费用为6.5万卢比。
为管理者和领导者提供数据科学和人工智能项目，费用为7900卢比。
为早期专业人士提供数据科学和商业分析快速通道课程，费用为5万美元。
每门课程都提供完整的堆栈和领域数据科学培训，并提供可靠的就业支持和大量学习灵活性。
除了上述独特的学习优势外，你还可以终身访问所有学习内容，并获得访问的实时会话的记录副本。对于作业提交或项目工作，Learnbay的技术支持每周7天保持24小时在线。
然而，如果你刚刚开始你的职业生涯，并想转行到数据科学领域，职业轨迹将有所不同。与特定领域的培训不同，你可能需要更全面的培训。因此，SimpleArn可能是一个更好的选择。
希望我的回答能有所帮助。如果你还有任何疑问，可以问我，我很乐意为你提供帮助。
DataCamp, Teaching data science to more than 5.7MM learners worldwide.
DataCamp，向全球超过5.7亿的学习者教授数据科学。
DataCamp，向全球超过5.7亿的学习者教授数据科学。
After being dubbed “sexiest job of the 21st Century” by Harvard Business Review, data science has stirred the interest of the general public. Many people are intrigued by the job and wonder how they themselves can become data scientists. There are so many tools, courses, and applications for folks to learn data science, but let’s face it: for someone unfamiliar with the field, all these options can seem like a jungle of complex information.
As experts in the space, the DataCamp team decided to synthesize everything we know about becoming a data scientist into 8 steps. We created an infographic meant both for those interested in learning data science for the first time, and existing data scientists looking to hone their skills. You can download the full infographic here, as well as view it below:
Becoming a data scientist takes time and personal investment, but the journey is exciting and well worth it! If you’re wondering how to get started, we have plenty of recommended courses to set you on the right track.
在被《哈佛商业评论》（Harvard Business Review）称为“21世纪最性感的工作”后，数据科学引起了公众的兴趣。许多人对这份工作很感兴趣，想知道自己如何才能成为数据科学家。有很多工具、课程和应用程序可供人们学习数据科学，但让我们面对现实：对于不熟悉该领域的人来说，所有这些选项似乎都是一个复杂信息的丛林。
作为太空专家，DataCamp团队决定将我们关于成为数据科学家的所有知识综合为8个步骤。我们创建了一个信息图表，既面向第一次对学习数据科学感兴趣的人，也面向希望磨练技能的现有数据科学家。你可以在此处下载完整的信息图，也可以在下面查看：
成为一名数据科学家需要时间和个人投资，但这段旅程令人兴奋，值得一试！如果你想知道如何开始，我们有很多推荐课程可以让你走上正轨。
As experts in the space, the DataCamp team decided to synthesize everything we know about becoming a data scientist into 8 steps. We created an infographic meant both for those interested in learning data science for the first time, and existing data scientists looking to hone their skills. You can download the full infographic here, as well as view it below:
Becoming a data scientist takes time and personal investment, but the journey is exciting and well worth it! If you’re wondering how to get started, we have plenty of recommended courses to set you on the right track.
在被《哈佛商业评论》（Harvard Business Review）称为“21世纪最性感的工作”后，数据科学引起了公众的兴趣。许多人对这份工作很感兴趣，想知道自己如何才能成为数据科学家。有很多工具、课程和应用程序可供人们学习数据科学，但让我们面对现实：对于不熟悉该领域的人来说，所有这些选项似乎都是一个复杂信息的丛林。
作为太空专家，DataCamp团队决定将我们关于成为数据科学家的所有知识综合为8个步骤。我们创建了一个信息图表，既面向第一次对学习数据科学感兴趣的人，也面向希望磨练技能的现有数据科学家。你可以在此处下载完整的信息图，也可以在下面查看：
成为一名数据科学家需要时间和个人投资，但这段旅程令人兴奋，值得一试！如果你想知道如何开始，我们有很多推荐课程可以让你走上正轨。
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