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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-r-programming-and-data-science-through-exercises/
课程评论：没有评论
课程名称：通过练习学习R编程与数据基础 课程概述： 本课程旨在教授R编程语言和数据科学的基础知识，特别适合对数据科学、R编程以及科技创业感兴趣的学习者。讲师拥有教授14种编程语言（包括Java, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, JavaScript）的经验，并拥有成功的数据科学项目和R应用开发经验。 讲师认为，学习编程最有效的方式是“动手实践”。许多现有课程过于偏重理论，缺乏实际操作，导致学习效率低下。本课程强调通过大量练习来教授R编程的语法和数据结构。 课程内容将涵盖R编程的基础语法，以及更高级的数据科学结构和数据类型，包括列表（Lists）、数据框（Data Frames）、向量（Vectors）、矩阵（Matrices）和因子（Factors）。讲师将通过详细的练习讲解，帮助学员理解这些数据结构和语法。课程的第一部分将介绍这些基本概念，随后会通过两节专门的练习课来深入解决实际问题，例如如何用Python编程以及如何利用R语言和数据科学解决问题的核心思路，从而掌握R编程和数据科学的强大能力。 讲师承诺本课程物超所值，既能节省金钱，又能高效利用时间。课程涵盖了R编程的基础内容，鼓励学员加入，一起学习如何利用R这一强大的数据科学语言在创业领域取得成功。 教学方式： 采用“边学边练”的沉浸式学习方法，通过大量实际练习来教授编程的语法和解决问题的思路。 课程优势： * 强调实践，通过大量练习掌握R编程。 * 覆盖R编程的基础语法、数据结构和数据科学的核心概念。 * 讲师经验丰富，在数据科学和编程领域有实际成功案例。 * 教授解决问题的编程思维，而非仅仅是语法。 * 旨在帮助学员在科技创业领域运用R语言。
You are interested in learning R Programming and getting into the wide realm of data science and R programming and intense Tech Entrepreneurship. You have probably wondered what is the most practical way of learning Python (which to be frank, gives you the key to ruling the technology industry). I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script. I have also had a successful freelancing career conducting data science projects and programming data science and R applications. Since technology and data is changing every day, I have to learn something new every time. The best way that you can learn how to program is "to program". Yet, nobody teaches in this manner and I suffer from the same pain when learning something new every time. Most courses are not designed to help you learn by example (immersion is the most potent way of learning in humans). Rather they bathe you with inapplicable information that you have to learn over and over again anyways.This course covers not only the basics of syntax in R programming, but also covers the more advanced data science structures and data types like Lists, Data Frames, Vectors, Matrices, and Factors. I develop details of the data structures and syntax through exercises that I walk you through in the course. The first part of the course is the introduction to these structures and the syntax. There are 2 lectures on solving tough exercises on each subject so that you can understand not only the syntax and how to the program python, but also what the crux of programming in terms of how we solve problems programmatically and harness the POWER of R Programming and Data Science.There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. This course encompasses the basics of R programming and I urge you to join me on this journey to learn how to dominate the entrepreneurial world with one of the most powerful data science language: R.
