独家 | R语言技能打造课程震撼登陆！金融，数据分析和市场营销三位行业大牛首度联合授课，只为教会你神技能“R”！（内含福利）

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回复“秋招”，了解专属于你的求职计划

秋招正在火热进行中！

还在紧张地找工作？

投了无数简历没有回应？

你还在等什么？！

赶紧给简历上添一个必不可少的神技能吧，

提升你的行业竞争力！

马云说：“人类正在从IT时代进入DT（Data Technology）时代，21世纪必将是DT的世纪！” 作为21世纪的主人，如果再不懂得如何处理数据做数据分析，那你就Out了！

R，这个字母这对于许多人来说或许并不陌生，无论你申请金融、咨询、IT、市场销、数据分析等职位，无一例外总会出现R programming required or Preferred的要求。

What is R？

R是一个用于统计分析、绘图的语言和操作环境。R是一个自由、免费、源代码开放的软件。

What can R do？

R语言是一个集统计分析与图形显示于一体的,用于统计计算和统计制图的优秀工具。它可以运行于UNIX, Windows和Macintosh的操作系统上。

Why learning R？

R已被金融、会计、IT、咨询、市场营销等众多领域广泛运用，已逐渐成为求职的一个必备技能。
R是自由软件。这意味着它是完全免费,开放源代码的。与SAS高昂的License费用相比的最大优势。
R是一种可编程的语言。作为一个开放的统计编程环境,语法通俗易懂,很容易学会和掌握语言的语法。
R具有很强的互动性。输出的图形可以直接保存为JPG,BMP,PNG等图片格式,还可以直接保存为PDF文件。另外,和其他编程语言和数据库之间有很好的接口。

Is R difficult？

The answer is absolutely NO.

许多同学听到编程二字就对R忘而却步，实际上R是相对简单的，它可以在短时间很快入门，再加以实践，基本上就能解决大部分的工作问题。

继暑期SQL集训课程收获满满的好评后，

应广大小伙伴们的要求，

北美职通卡特邀

Finance - Citigroup VP of Business Analytics，

Data Analytics - Data Scientist at Avvo, Inc

Marketing - KPMG Innovation IT Engineer

三位不同领域的行业大牛联合授课。

无论你对R一无所知，还是略知一二，

甚至有了基础，

在我们为你精心打造的9次R集训课程里

你都可以学你想学，取你所需，

全方位无死角地掌握R在各个领域的应用

并掌握针对R的面试技能！

课程目标

学习我们精心打造的9次课程，你将会：

用最短的时间，让你从零基础到熟练掌握核心R语句，并能解决真实职场中大大部分问题；
用最直接的方式，让你学会用R分析数据，建立模型，优化模型，评估预测, 制作图表等等；
用最真实的工作范例，让你直观体验如何用R解决职场实际问题。

课程形式

网络授课，全程录制，满足学生需要复习的要求；
每节课后答疑，布置作业；
行业案例分析；
导师制作精美PPT。

课程特色

课程不仅涉及理论，更从实践出发，学练结合，应用性强，运用第三方平台R Studio进行真实演练；
三位行业经验丰富的导师联合授课，全方位覆盖金融、市场营销和咨询等行业；
课程从Basic到Advanced，层次分明，学生选择多元，适合初学者和有基础者；
用实例剖析R在金融、数据分析和市场营销领域中的应用。

课程导师介绍

Education:

Dual Master Degree in Economics and Statistics

Experience:

Citigroup, JP Morgan

Steven have a strong background in Data Analysis, Machine Learning as well as Business Analysis. Currently Steven is working as a VP of Business Analysis Manager at Citigroup Credit Card Decision Management division, Steven is also working as a data scientist, which focus on Machine Learning model build to optimize channel and customer segments, he is also working closely with risk management team focus on Financial forecasting. Before this he was working with JPMORGAN Asset Management Big data group. He worked as a technical analyst to develop different machine learning algorithm and text mining (NLP).

Education:

Information Technology at Cornell

Experience:

Quality Assurance Associate, KPMG

Xi graduated from Cornell University majored in Operations Research and InformationTechnology, with a minor in business. She is currently working as a quality assurance(QA) associate at KPMG focusing on client-facing tax applications. She is extensivelyusing SQL, R, and many other data analytic tools at her work to manipulate customerdata, create specific interactive dashboard/report, conduct market research and evaluate applications.

Education：

Master of Statistics at University of Washington

Experience:

Data Scientist, Avvo, Inc

David got a MS degree of Statistics from University of Washington, before that he got a bachelor degree of Mathematics. During school, he worked as a data scientist at Philips America. He got different offers as data scientist from different industry: Internet, Finance, Consulting and so on. He is now working as an insight analyst for data science at Avvo. Inc. Doing data pre-processing, analytics and modeling for the online business for the company. He has also taught several students who successfully find ideal job in data science industry.

课程详情

课程报名

Basic Only

（Class 1 – Class 6）

Early Bird Package

(Ended on September 30, 2016 )

$380

Regular Price

$420

Advanced Only

(Class 4 – Class 9)

Early Bird Package

(Ended on September 30, 2016)

$400

Regular Price

$440

Full Package

(All 9 Classes)

Early Bird Package

(Ended on September 30, 2016 )

$580

Regular Price

$660

额外福利

赠送软件安装包，详细的R Cheat Sheet, R经典入门教材。

带上一个小伙伴每人立减$20美金，

带上两个小伙伴每人立减30美金！！

报名方式

方式一

长按下方二维码即可登录报名页面

方式二

点击文末左下角链接“阅读原文”即可报名

方式三

长按下方二维码，进入R课程咨询群，三位导师将近期在群里做Info Session，你有任何对课程的疑问都可以在群里和导师互动哦~

课时安排

Lesson 1

Introduction to R, Install, configure, and explore the R environment, including R Studio

Use basic R syntax, functions: Importing data, indexing, basic calculations and overview of graphing and forecasting functions

Lesson 2

Use common R functions, and learn to write your own: nrow(), summary(), subset(), grep(), loops and summarizes

Lesson 3

Plot data and extend your graphical capabilities with reading the plots: hist(), boxplot(), plot(xdata, y data), ACF Plots, QQ Plots, VIF, residual plots etc.

Lesson 4

Statistical Models: fits to simple linear models, multi-linear regression, variable transformations

Lesson 5

Accessing models and forecasting: How to access the data and graphs (advanced class of Lesson3 and Lesson 4): R-squared, variance, normally distributed etc.)

Lesson 6

How to access a model and find a best fit model, how to do forecasting. More about forecasting and prediction

Lesson 7

Data Manipulation using dplyr package

Lesson 8

Data visualization using ggplot2 package

Lesson 9

Working example (e.g.: Stock analysis using R) & Interview Tips

往期课程回顾