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所在平台: Udemy |
课程主页: https://www.udemy.com/course/business-analytics-with-r/
课程评论:没有评论
课程名称:R语言数据科学与机器学习大师班 课程概述: 你是否计划在今年开展数据科学的职业生涯?你知道数据科学家的平均年薪为10万美元吗?在未来三年内,数据科学领域将创造超过1000万个新工作机会。如果你是学生、在职人员或求职者,现在正是进入数据科学的最佳时机!数据科学在2018-2019年被视为全球“最热门”职业之一。我们提供了一些理由,说明为什么你应该转向数据科学,从而抓住这一炙手可热的就业市场!从本课程中,你将获得成为数据科学大师所需的所有知识。 本课程涵盖了数据科学现在不可或缺的原因:多个知名公司(如谷歌、苹果、脸书、NASA 和微软)都在利用数据科学和机器学习来推动业务决策和技术创新。因此,深入了解数据科学和机器学习将提升你的薪资水平。 为什么选择这个R语言数据科学课程? 我们不仅教授"如何"做,还会解释"为什么"要这样做,通过实际示例进行理论讲解!这门课程时长超过15小时,涵盖100多个数据科学主题的学习资料,提供可下载的代码模板,帮助你节省时间。 你将从这个数据科学大师班课程中学到: - 数据科学的定义及其对现代世界的帮助 - 数据科学、机器学习和人工智能的优势 - 应用R编程解决数据科学相关问题 - 为什么R是数据科学、人工智能和机器学习的必备工具 - 成为数据科学家的正确指导及面试准备指南 - 如何转行进入数据科学 - R的数据结构:矩阵、数组、数据框、因子、列表 - 使用R的条件语句、函数和循环 - 系统探索数据 - 数据科学包:Dplyr、GGPlot2 - 数据的索引、切片和子集 - 从CSV、Excel、数据库、网页、文本数据中进出数据 - 数据可视化:绘制不同类型的数据并提取见解(包括折线图、条形图、饼图、直方图等) - 数据操作:使用apply函数、mutate()、filter()、arrange()、summarise()和groupby()等 - 统计学:数据科学必备 - 数据科学中的假设检验 加入我们,开启你的数据科学学习之旅吧!
Are you planing to build your career in Data Science in This Year?Do you the the Average Salary of a Data Scientist is $100,000/yr?Do you know over 10 Million+ New Job will be created for the Data Science Filed in Just Next 3 years??If you are a Student / a Job Holder/ a Job Seeker then it is the Right time for you to go for Data Science!Do you Ever Wonder that Data Science is the "Most Hottest" Job Globally in 2018 - 2019!Above, we just give you a very few examples why you Should move into Data Science and Test the Hot Demanding Job Market Ever Created!The Good News is That From this Hands On Data Science and Machine Learning in R course You will Learn All the Knowledge what you need to be a MASTER in Data Science.Why Data Science is a MUST HAVE for Now A Days?The Answer Why Data Science is a Must have for Now a days will take a lot of time to explain. Let's have a look into the Company name who are using Data Science and Machine Learning. Then You will get the Idea How it BOOST your Salary if you have Depth Knowledge in Data Science & Machine Learning!Here we list a Very Few Companies: -Google - For Advertise Serving, Advertise Targeting, Self Driving Car, Super Computer, Google Home etc. Google use Data Science + ML + AI to Take DecisionApple: Apple Use Data Science in different places like: Siri, Face Detection etcFacebook: Data Science , Machine Learning and AI used in Graph Algorithm for Find a Friend, Photo Tagging, Advertising Targeting, Chatbot, Face Detection etcNASA: Use Data Science For different PurposeMicrosoft: Amplifying human ingenuity with Data ScienceSo From the List of the Companies you can Understand all Big Giant to Very Small Startups all are chessing Data Science and Artificial Intelligence and it the Opportunity for You!Why Choose This Data Science with R Course?We not only "How" to do it but also Cover "WHY" to do it?Theory explained by Hands On Example!15+ Hours Long Data Science Course100+ Study Materials on Each and Every Topic of Data Science! Code Templates are Ready to Download! Save a lot of TimeWhat You Will Learn From The Data Science MASTERCLASS Course:Learn what is Data science and how Data Science is helping the modern world!What are the benefits of Data Science , Machine Learning and Artificial Intelligence Able to Solve Data Science Related Problem with the Help of R ProgrammingWhy R is a Must Have for Data Science , AI and Machine Learning!Right Guidance of the Path if You want to be a Data Scientist + Data Science Interview Preparation GuideHow to switch career in Data Science?R Data Structure - Matrix, Array, Data Frame, Factor, ListWork with R's conditional statements, functions, and loopsSystematically explore data in RData Science Package: Dplyr , GGPlot 2Index, slice, and Subset DataGet your data in and out of R - CSV, Excel, Database, Web, Text DataData Science - Data Visualization: plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic PlotData Science - Data Manipulation - Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in RStatistics - A Must have for Data SciecneData Science - Hypothesis Testing