初学者
Python数据科学:数据分析和可视化

Python数据科学:
数据分析与可视化

This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming 和 want to take it to the next level. It introduces how to work with different data structures in Python 和 covers the most popular data analytics 和 visualization modules, 包括numpy, scipy, 熊猫, matplotlib, 和seaborn. We use Ipython notebook to demonstrate the results of codes 和 change codes interactively throughout the class.

* Tuition paid for part-time courses can be applied to the 数据科学赌博10大排行网站营s if admitted within 9 months.
为应对COVID-19,国家重新开放, 我们所有的课程都可以在现场或远程/在线学习. 请以电邮方式注明您的选择 (电子邮件保护) 在我们班注册之后

课程日期

 
1月会议

2022年1月9日至2月13日
周日
1:00-5:00pm

$1590.00
现在招收
Earlybird结束于02/04
3月会议

2022年3月6日至4月3日
周日
1:00-5:00pm

$1590.00
$1590.00
$1510.50
现在招收
Earlybird在3月25日结束
4月会议

2022年4月24日至5月22日
周日
1:00-5:00pm

$1590.00
$1590.00
$1510.50
现在招收
了解更多有关我们专业发展课程的信息.
下载课程信息

产品描述

课程概述

This class is a comprehensive introduction to Python for 数据分析与可视化. This class targets people who have some basic knowledge of programming 和 want to take it to the next level. It introduces how to work with different data structures in Python 和 covers the most popular Python data analysis 和 visualization modules, 包括numpy, scipy, 熊猫, matplotlib, 和seaborn. We use Ipython notebook to demonstrate the results of codes 和 change codes interactively throughout the class.

先决条件

如果你对基本数据类型(如.g. 字符串,数字),数据结构(例如.g. 列表, 元组, dictionary) 和 are familiar with concepts of 列表 comprehension 和 for/while loop, you are good to go with the Python for 数据分析与可视化 course. 我们也将在课程中涵盖这些基本的Python编程主题, 但移动速度相对较快.

证书

证书s are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework 和 final project (where applicable). Students who complete 80% of the homework 和 attend a minimum of 85% of all classes are eligible for the certificate of completion.

捆绑起来,学习更多,节省更多!
浏览包
捆绑起来,学习更多,节省更多!
浏览包

演示讲座

Python中的基本对象
模块
介绍了Python
教练
哈桑Aljabbouli
描述
纽约市数据科学研究院's 教练, 哈桑Aljabbouli, walks through a lecture on Python string.

教学大纲

第1单元:Python入门

Python是一种高级编程语言. 您将学习Python的基本语法和数据结构. 我们在Ipython笔记本中演示和运行代码, which is a great tool providing a robust 和 productive environment for interactive 和 exploratory computing.

  • Ipython笔记本简介
  • Python中的基本对象
  • 变量和自定义函数
  • 控制流
  • 数据结构

第二单元:深入探索Python

Python是一种面向对象编程(OOP)语言. Having some basic knowledge of OOP will help you underst和 how Python codes work. More often than not, you will have to deal with data that is dirty 和 unstructured. You will learn many ways to clean your data such as applying regular expressions.
面向对象编程导论

  • 如何处理文件
  • 运行Python脚本
  • 处理和处理字符串

第三单元:科学计算工具

There are two modules for scientific computation that make Python powerful for data analysis: Numpy 和 Scipy. Numpy是Python中科学计算的基本包. SciPy is an exp和ing collection of packages addressing scientific computing.

  • Numpy
  • Scipy

第四单元:数据可视化

Python还可以使用“Matplotlib”和“Seaborn”轻松生成图形. Matplotlib is the most popular Python library for producing plots 和 other 2D data visualizations. Seaborn是一个基于matplotlib的Python可视化库. 它提供了绘制统计图形的高级接口.

  • Seaborn
  • Matplotlib

第五单元:使用熊猫进行数据处理

熊猫 provides rich data structures 和 functions for working with structured data. 熊猫中的“DataFrame”对象就像“data”一样.frame”对象在R. 熊猫可以进行数据操作(过滤、选择、分组、聚合等).)和R一样简单.

  • 熊猫
  • 最终项目

我们的校友反馈

我来自金融领域,在编程方面几乎没有经验. 在我工作的地方,我曾涉猎过一些VBA, 但我绝对不能说我知道如何编程. 话虽如此,我觉得这门课为我提供了一个很好的基础 Python. The in class exercises were also helpful to glue the concepts together 和 homework was also given for more practice. The one thing I could have suggested in terms of the weekend class itself is to perhaps allow for a longer day so the teacher do not have to rush over any particular topic. 整体, I really enjoyed this class 和 would recommend it to anyone who is looking to get their h和s dirty with coding 和 data analysis.
雷蒙德梁
这是一次很好的亲身学习经历. 我曾尝试使用在线资源学习Python一段时间, 但我总是不能挤出时间来做这件事. Although the class is only 5 weeks long, I feel like I learn a lot than I expected. 高度 recommend this course to anyone who wants to take a well organized intro class for Python.
杰米黄
周末班非常有帮助. 你周日花了5个小时,尽可能多地学习 在这些时间. 因为它是用朱庇特笔记本来教的, 它真的很容易掌握,并在接下来的一周重新学习. My weekend cohort consists of recent MBA grads who are looking to lead teams that work closely with software engineers 和 data scientists. 你也会看到来自咨询/咨询公司的风险实践人员. You can also see people who are in the IT department making a transition to the field of Data Science. 最后但同样重要的是, you'll also have people in graduate school or even college who would dedicate their 周日 afternoon to refine their skills in Python. It is an investment that will pay dividends in your career if you are determined to bring some data science to your toolbox 和 your workplace.
撒母耳毛
我真的很喜欢这门课,学到了很多. As someone who already had an introductory underst和ing of Python, this class helped me 加强对基础知识的理解. 从那时起,我喜欢涵盖从Python脚本编写到各种各样的主题, 解析, 清洁, 和图形数据. This course can be challenging because there is a new topic discussed each week, 所以没有很多时间来完善新的技能. I thought Tony was a great teacher 和 he always made himself available to answer questions. 整体 I feel like it gave me all the tools I need to approach data science problems analytically 和 with confidence.
埃文乡绅
This course was not only extremely cutting-edge for all of today's industries 和 work areas but it gave me a great deal of confidence to continue my data 和 computer science 下一阶段的研究. This course has actually inspired me to not only enroll in other NYC Data Science Classes but also think longer-term about continuing graduate level work in CS. This was my first class at 纽约市数据科学研究院 和 all I an say is I am extremely grateful to have had Dr. 安东尼·施瓦茨是一名讲师. Anthony keep the material vibrant 和 fun with colorful analogies that made the subject matter easy to digest 和 remember. This allowed for both an esoteric underst和ing of what was happening "inside the code" coupled with real-world applications that began to streamline 和 automate a lot of my day-to-day work right after Class 1. 关于赌博10大排行网站和他的博士,我每天都无法看到足够多的好消息. 舒尔茨 !!
鲍勃的里雅斯特
我和托尼一起学习Python很愉快. 我们以足够的细节和速度把事情过了一遍. I thought the course was thorough 和 concise without much extra unnecessary info. 我喜欢这些家庭作业的问题,觉得它们很有挑战性. I would recommend this class in the future to people looking to beef up their data analysis skills.
Naveen拉马钱德兰
我和安东尼年代chultz一起参加了为期5周的Python课程 . The syllabus was extremely comprehensive 和 provided a very well structured approach to Python 和 its applications. Anthony was a fantastic teacher 和 effectively covered a wide range of concepts 和主题在短时间内. I enjoyed the weekly homework problems as well - they cemented what was learnt in class 和 really made me think. I feel a lot more comfortable in my coding abilities 和 would highly recommend this course.
Pranati耆那教徒的
I came across 纽约市数据科学研究院 when I was looking for certification courses with classroom learning 和 I am glad I made a decision to take it up. 这门课安排得很好,共五个星期天. 我们的导师,安东尼·舒尔茨, was extremely knowledgeable 和 passionate about teaching Python which made the whole course a very enjoyable experience. The course content had in depth coverage with examples to elaborate each concept, 让我们有机会在进步中学习. 本课程结束时, 你会很好地掌握Python,你可以在日常工作中应用它.
Manjula Rimmalapudi
The course “Python数据科学:数据分析和可视化” is perfect if you are fairly new to “Data Science”. It begins with a general overview of basic knowledge in python before going to the analysis content. 你会学到Numpy, 熊猫, 在你完成课程后,可视化和海波恩. The instructor 安东尼年代chultz introduced every chapter in a slow 和 comprehensive pace. 课程笔记组织得很好. You can ask any questions during the class 和 Anthony will explain your question with great amount of details. I would love to recommend to take this class if you are planning to pursuing your career in Data Science. 五颗星!!
HF
I took the Python:数据分析和可视化 class taught by Tony Schultz this summer. 课程内容全面, 在很短的时间内形成并覆盖了许多领域. 托尼很擅长解释所有的概念. 经常 times he covered more than just one way to solve a problem 和 encouraged us to develop our own coding styles. Definitely recommend this class to all working professionals interested in learning Data Science using Python.
Devika
I enrolled in the five-weekend course for 数据分析与可视化 with Python taught by Tony Schultz that spanned from June to July 2019. Tony is experienced, energetic 和 hard working 和 did a great job in presenting the material. 他还 very helpful before/after class answering questions related to the homework as well as more general topics related to data science. Of note I appreciated that he covered various ways of solving classroom 和 homework problems which helped highlight Python's flexibility. 这门课程帮助我建立了坚实的Python基础. 像往常一样, to get the most of this class you do have to spend several hours outside of class to review the material covered in the prior class before attempting to do the homework.
阿尔弗雷多Pinel

“大课程! 学到了很多!"

Anthony was great - really got into the practical uses of python for data analysis 和 had really useful analogies to underst和ing different topics 和 concepts. Really enjoyed the class 和 felt like I could take something practical away from it.
Nikhil Krishnan,战略伙伴关系经理

“好起动器”

In the past I've used a lot of online courses to try 和 learn how to use python in my day to day work but I never felt like I "got it." This in person experience was well organized, provided relevant material 和 challenging homework. The first day of the class really scared me 和 had me thinking I bit off more than I can chew, but by the end I felt like I'd learned a lot 和 am thankful to the instructor Tony for his in class comments 和 examples. I would recommend this course to anyone who is already conducting data analytics but is looking to branch out to python. The course provides a lot of food for thought 和 made me feel like I have a solid foundation in python now.
安东尼年代. Romano,研究科学家

“当今所有行业的尖端技术”

This course was not only extremely cutting-edge for all of today's industries 和 work areas but it gave me a great deal of confidence to continue my data 和 computer science 下一阶段的研究. This course has actually inspired me to not only enroll in other NYC Data Science Classes but also think longer-term about continuing graduate level work in CS. This was my first class at 纽约市数据科学研究院 和 all I an say is I am extremely grateful to have had Dr. 安东尼·施瓦茨是一名讲师. Anthony keep the material vibrant 和 fun with colorful analogies that made the subject matter easy to digest 和 remember. This allowed for both an esoteric underst和ing of what was happening "inside the code" coupled with real-world applications that began to streamline 和 automate a lot of my day-to-day work right after Class 1. 对于赌博10大排行网站和他的博士,我要说太多的好话. 舒尔茨 !!
鲍勃·里雅斯特,股票和外汇交易员

在学习任何东西的时候,掌握基本知识是很重要的. 如果你养成坏习惯, 以后要解决这些问题会变得很困难, 特别是当你已经养成了很多坏习惯的时候. 这就是为什么当我想开始学习数据科学的时候, I chose to take this course to help me make the right choices from the very beginning.

我得说我得到了我想要的. 托尼是一个很好的教师. 他能以理解的方式表达复杂的概念, 和 I would definitely say that now I underst和 enough about the Python ecosystem that I could start learning on my own if I wanted.

John Chen,软件工程师

伟大的类. 仅仅5周的课程就非常全面. Covers the basics 和 commonly used libraries used in python for data analysis as well has how to use them. 课堂上使用的笔记本是课程结束后很好的参考资源. Also a great community of data professionals 和 networking if you are thinking about a new gig.

亚伦欧阳
我来自金融领域,在编程方面几乎没有经验. 在我工作的地方,我曾涉猎过一些VBA, 但我绝对不能说我知道如何编程. 话虽如此,我觉得这门课为我提供了一个很好的基础 Python. The in class exercises were also helpful to glue the concepts together 和 homework was also given for more practice. The one thing I could have suggested in terms of the weekend class itself is to perhaps allow for a longer day so the teacher do not have to rush over any particular topic. 整体, I really enjoyed this class 和 would recommend it to anyone who is looking to get their h和s dirty with coding 和 data analysis.
雷蒙德梁
这是一次很好的亲身学习经历. 我曾尝试使用在线资源学习Python一段时间, 但我总是不能挤出时间来做这件事. Although the class is only 5 weeks long, I feel like I learn a lot than I expected. 高度 recommend this course to anyone who wants to take a well organized intro class for Python.
杰米黄
周末班非常有帮助. 你周日花了5个小时,尽可能多地学习 在这些时间. 因为它是用朱庇特笔记本来教的, 它真的很容易掌握,并在接下来的一周重新学习. My weekend cohort consists of recent MBA grads who are looking to lead teams that work closely with software engineers 和 data scientists. 你也会看到来自咨询/咨询公司的风险实践人员. You can also see people who are in the IT department making a transition to the field of Data Science. 最后但同样重要的是, you'll also have people in graduate school or even college who would dedicate their 周日 afternoon to refine their skills in Python. It is an investment that will pay dividends in your career if you are determined to bring some data science to your toolbox 和 your workplace.
撒母耳毛
我真的很喜欢这门课,学到了很多. As someone who already had an introductory underst和ing of Python, this class helped me 加强对基础知识的理解. 从那时起,我喜欢涵盖从Python脚本编写到各种各样的主题, 解析, 清洁, 和图形数据. This course can be challenging because there is a new topic discussed each week, 所以没有很多时间来完善新的技能. I thought Tony was a great teacher 和 he always made himself available to answer questions. 整体 I feel like it gave me all the tools I need to approach data science problems analytically 和 with confidence.
埃文乡绅
This course was not only extremely cutting-edge for all of today's industries 和 work areas but it gave me a great deal of confidence to continue my data 和 computer science 下一阶段的研究. This course has actually inspired me to not only enroll in other NYC Data Science Classes but also think longer-term about continuing graduate level work in CS. This was my first class at 纽约市数据科学研究院 和 all I an say is I am extremely grateful to have had Dr. 安东尼·施瓦茨是一名讲师. Anthony keep the material vibrant 和 fun with colorful analogies that made the subject matter easy to digest 和 remember. This allowed for both an esoteric underst和ing of what was happening "inside the code" coupled with real-world applications that began to streamline 和 automate a lot of my day-to-day work right after Class 1. 关于赌博10大排行网站和他的博士,我每天都无法看到足够多的好消息. 舒尔茨 !!
鲍勃的里雅斯特
我和托尼一起学习Python很愉快. 我们以足够的细节和速度把事情过了一遍. I thought the course was thorough 和 concise without much extra unnecessary info. 我喜欢这些家庭作业的问题,觉得它们很有挑战性. I would recommend this class in the future to people looking to beef up their data analysis skills.
Naveen拉马钱德兰
我和安东尼年代chultz一起参加了为期5周的Python课程 . The syllabus was extremely comprehensive 和 provided a very well structured approach to Python 和 its applications. Anthony was a fantastic teacher 和 effectively covered a wide range of concepts 和主题在短时间内. I enjoyed the weekly homework problems as well - they cemented what was learnt in class 和 really made me think. I feel a lot more comfortable in my coding abilities 和 would highly recommend this course.
Pranati耆那教徒的
I came across 纽约市数据科学研究院 when I was looking for certification courses with classroom learning 和 I am glad I made a decision to take it up. 这门课安排得很好,共五个星期天. 我们的导师,安东尼·舒尔茨, was extremely knowledgeable 和 passionate about teaching Python which made the whole course a very enjoyable experience. The course content had in depth coverage with examples to elaborate each concept, 让我们有机会在进步中学习. 本课程结束时, 你会很好地掌握Python,你可以在日常工作中应用它.
Manjula Rimmalapudi
The course “Python数据科学:数据分析和可视化” is perfect if you are fairly new to “Data Science”. It begins with a general overview of basic knowledge in python before going to the analysis content. 你会学到Numpy, 熊猫, 在你完成课程后,可视化和海波恩. The instructor 安东尼年代chultz introduced every chapter in a slow 和 comprehensive pace. 课程笔记组织得很好. You can ask any questions during the class 和 Anthony will explain your question with great amount of details. I would love to recommend to take this class if you are planning to pursuing your career in Data Science. 五颗星!!
HF
I took the Python:数据分析和可视化 class taught by Tony Schultz this summer. 课程内容全面, 在很短的时间内形成并覆盖了许多领域. 托尼很擅长解释所有的概念. 经常 times he covered more than just one way to solve a problem 和 encouraged us to develop our own coding styles. Definitely recommend this class to all working professionals interested in learning Data Science using Python.
Devika
I enrolled in the five-weekend course for 数据分析与可视化 with Python taught by Tony Schultz that spanned from June to July 2019. Tony is experienced, energetic 和 hard working 和 did a great job in presenting the material. 他还 very helpful before/after class answering questions related to the homework as well as more general topics related to data science. Of note I appreciated that he covered various ways of solving classroom 和 homework problems which helped highlight Python's flexibility. 这门课程帮助我建立了坚实的Python基础. 像往常一样, to get the most of this class you do have to spend several hours outside of class to review the material covered in the prior class before attempting to do the homework.
阿尔弗雷多Pinel

“大课程! 学到了很多!"

Anthony was great - really got into the practical uses of python for data analysis 和 had really useful analogies to underst和ing different topics 和 concepts. Really enjoyed the class 和 felt like I could take something practical away from it.
Nikhil Krishnan,战略伙伴关系经理

“好起动器”

In the past I've used a lot of online courses to try 和 learn how to use python in my day to day work but I never felt like I "got it." This in person experience was well organized, provided relevant material 和 challenging homework. The first day of the class really scared me 和 had me thinking I bit off more than I can chew, but by the end I felt like I'd learned a lot 和 am thankful to the instructor Tony for his in class comments 和 examples. I would recommend this course to anyone who is already conducting data analytics but is looking to branch out to python. The course provides a lot of food for thought 和 made me feel like I have a solid foundation in python now.
安东尼年代. Romano,研究科学家

“当今所有行业的尖端技术”

This course was not only extremely cutting-edge for all of today's industries 和 work areas but it gave me a great deal of confidence to continue my data 和 computer science 下一阶段的研究. This course has actually inspired me to not only enroll in other NYC Data Science Classes but also think longer-term about continuing graduate level work in CS. This was my first class at 纽约市数据科学研究院 和 all I an say is I am extremely grateful to have had Dr. 安东尼·施瓦茨是一名讲师. Anthony keep the material vibrant 和 fun with colorful analogies that made the subject matter easy to digest 和 remember. This allowed for both an esoteric underst和ing of what was happening "inside the code" coupled with real-world applications that began to streamline 和 automate a lot of my day-to-day work right after Class 1. 对于赌博10大排行网站和他的博士,我要说太多的好话. 舒尔茨 !!
鲍勃·里雅斯特,股票和外汇交易员

在学习任何东西的时候,掌握基本知识是很重要的. 如果你养成坏习惯, 以后要解决这些问题会变得很困难, 特别是当你已经养成了很多坏习惯的时候. 这就是为什么当我想开始学习数据科学的时候, I chose to take this course to help me make the right choices from the very beginning.

我得说我得到了我想要的. 托尼是一个很好的教师. 他能以理解的方式表达复杂的概念, 和 I would definitely say that now I underst和 enough about the Python ecosystem that I could start learning on my own if I wanted.

John Chen,软件工程师

伟大的类. 仅仅5周的课程就非常全面. Covers the basics 和 commonly used libraries used in python for data analysis as well has how to use them. 课堂上使用的笔记本是课程结束后很好的参考资源. Also a great community of data professionals 和 networking if you are thinking about a new gig.

亚伦欧阳

学校的位置

纽约第八大道500号905室,邮编10018
附近的地铁
1 2 3 34、中央火车站
A C E 34、中央火车站
N Q R B D F M 34,先驱广场

教练

Drace詹
Drace詹
数据科学老师
Drace詹 has honed the bulk of his communication skills by teaching math 和 reading skills to high school 和 college graduates since 2007. 将深奥的概念翻译成容易理解的术语的能手, he entered the field of data science around the year end of 2016 和 now joined 纽约市数据科学研究院. 他是一个代码、猫和探索问题的爱好者.

会议日程安排

 
1月会议

2022年1月9日- 2月13日(星期日)
  • 12022年1月9日
  • 22022年1月23日
  • 32022年1月30日
  • 42022年2月6日
  • 52022年2月13日
1:00-5:00pm

$1590.00
现在招收
Earlybird结束于02/04
3月会议

2022年3月6日- 4月3日(星期日)
  • 12022年3月6日
  • 22022年3月13日,
  • 32022年3月20日
  • 42022年3月27日,
  • 52022年4月3日
1:00-5:00pm

$1590.00
$1590.00
$1510.50
现在招收
Earlybird在3月25日结束
4月会议

2022年4月24日- 5月22日(星期日)
  • 12022年4月24日
  • 22022年5月1日
  • 32022年5月8日
  • 42022年5月15日
  • 52022年5月22日,
1:00-5:00pm

$1590.00
$1590.00
$1510.50
现在招收

通过注册一个捆绑包来节省更多

赌博10大排行网站营准备
Python入门
Python入门
Python数据科学:数据分析和可视化
Python数据科学:数据分析和可视化
数据科学与R:数据分析与可视化
数据科学与R:数据分析与可视化
$5370.00
总: $5370.00$5000.00
Python数据科学
Python入门
Python入门
Python数据科学:数据分析和可视化
Python数据科学:数据分析和可视化
数据科学与Python:机器学习
数据科学与Python:机器学习
$5170.00
总: $5170.00$4732.00
数据科学Launchpad与Python
Python入门
Python入门
Python数据科学:数据分析和可视化
Python数据科学:数据分析和可视化
数据科学与Python:机器学习
数据科学与Python:机器学习
$5170.00
总: $5170.00$4770.00