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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-absolute-beginners-guide-to-data-science/
课程评论：没有评论
课程名称：初学者的数据科学指南 课程概述： 在本课程中，您将建立数据科学的基础，通过基础培训项目“数据科学基础模块”（DS1），学习数学、统计学和机器学习的基本知识。课程内容包括描述性与推断统计、数据可视化、Python编程、离散/连续数据分布、矩阵代数、坐标几何与微积分、CRISP-DM框架、机器学习基础、Python编程高级课程，以及简单与多元线性回归的案例研究。 数据科学家的职责广泛，不仅负责业务分析，还参与数据产品和软件平台的构建，以及数据可视化和机器学习算法的开发。数据分析师的职业前景不仅取决于编程能力，同样重要的是能够影响企业的决策。作为组织的一员，您将提高沟通能力，能够通过解释数据来改善业务，推动业务决策。 数据分析师需要掌握的关键技能包括：高水平的数学能力；熟悉SQL、Oracle和Python等编程语言；数据分析、建模和解释的能力；解决问题的能力；系统化和逻辑化的工作方法；以及计划工作和遵守截止日期的能力。 此外，本课程还包括“R语言数据科学”部分，教授如何使用R进行数据科学。您将学习如何导入数据、转换数据、可视化数据和建模。这部分实用技能的掌握将为您的数据科学工作提供支持。 为什么要学习这个课程？因为机器学习已无处不在，像Facebook、Google和Amazon等公司多年来一直在使用自学习的机器。现在是掌控这些机器的时候了。 您将获得的内容： - 互动问答支持 - 获取成为数据科学家的所有知识 - 数据科学学习者社区 - 完成证书 - 未来更新的访问权限 - 解决真实商业案例，助您求职 学员评价： - “课程讲解非常清晰，是学习数据科学的先修课程。” ~ Sridhar Sathyanarayanan - “我学习了数据科学的概念及其在现实世界中的应用。” ~ Yusuf Ridwan - “讲师不仅关注概念教学，还努力覆盖实际应用。” ~ Felix Akwerh - “这门课程的基础知识讲解非常到位，十分感谢讲师的努力。” ~ Md Zahid A A Sayed - “对录制讲座和演示的清晰度非常满意。” ~ Ruwantha de Saram 通过本课程，您将为数据科学的职业生涯奠定坚实的基础。
What will I Learn and Apply post-program: We build your foundation by going through the basics of Mathematics, Statistics and Machine Learning using our foundation training program on Data Science - DS1 Module: In our DS1 Module You will Learn: 1)Descriptive & Inferential Statistics2)Data Visualization3)Python Programming4)Data Distributions - Discrete/Continuous5)Matrix Algebra, Coordinate geometry & Calculus 6)CRISP-DM Framework 7)Machine Learning - Part 1 8)Python Programming - Adv 9)Simple & Multiple Linear regression with case studiesA Data Scientist dons many hats in his/her workplace. Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithmsData Analytics career prospects depend not only on how good are you with programming -equally important is the ability to influence companies to take action. As you work for an organization, you will improve your communication skills.A Data Analyst interprets data and turns it into information that can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends - as such a Data Analyst job description should highlight the analytical nature of the role.Key skills for a data analystA high level of mathematical ability.Programming languages, such as SQL, Oracle, and Python.The ability to analyze, model and interpret data.Problem-solving skills.A methodical and logical approach.The ability to plan work and meet deadlines.Accuracy and attention to detail.R for Data Science:This session is for "R for Data Science". We will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it. In this session, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you'll learn how to clean data and draw plots-and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You'll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You'll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualizing and exploring data.Why learn it?Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines.***What you get***Active Q & A supportAll the knowledge to get hired as a data scientistA community of data science learnersA certificate of completionAccess to future updatesSolve real-life business cases that will get you the jobTestimonials:Very well explained. Its kind of pre-requisite for Data Science Learning...We can call this course Data Science Pre-requisites for dummies.. ~ Sridhar SathyanarayananI was able to learn the concept of data science and how it can be applied to the real world. ~ Yusuf RidwanThe instructor is not only concerned with teaching the concepts he also tries to cover practical aspects as well~ Felix AkwerhOMG!! What ever I say will not suffice to the knowledge and explanation and the efforts he has taken to explain these fundamentals. I am really thankful to the course instructor for making it easy for me. I would definitely recommend to all to go through this course before joining any DS, ML, AI courses. ~ Md Zahid A A SayedVery Happy with the recorded lectures and the clarity of the presentation. ~ Ruwantha de Saram
