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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-road-map-for-data-science-ml-for-begineers/
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课程名称：数据科学与机器学习完整学习路线图（初学者） 课程概述：为什么学习数据科学？在开始数据科学的完整路线图之前，学员首先应明确其学习目标。你是因为想追求“21世纪最性感的职业”而学习数据科学吗？还是为了完成大学的学术项目？亦或是为了长期职业发展，甚至希望转行成为数据科学家？明确目标至关重要。例如，若你想为学术项目学习数据科学，掌握基础知识即可；而若打算建立长期职业则需学习更专业和高级的内容。 如何学习数据科学？数据科学家往往来自不同的教育和工作背景，理想情况下应在四个关键领域具备较强的能力：领域知识、数学技能、计算机科学和沟通能力。 领域知识：很多人认为领域知识在数据科学中不重要，但实际上非常关键。如果你想在银行业成为数据科学家，了解金融和股票交易的知识将为你带来优势，雇主会更倾向于选择这些具备相关知识的申请者。 数学技能：线性代数、多元微积分与优化技术这三项知识非常重要，它们帮助理解多种机器学习算法，这些算法在数据科学中起着重要作用。同时，统计学的理解也至关重要，因为它是数据分析的一部分，而概率论是掌握机器学习的先决条件之一。 本课程将帮助学员清晰了解学习数据科学的目标和必需掌握的技能，为后续的学习奠定坚实基础。
Why Data Science? (Decide the Goal First?)So before jumping into the complete Roadmap of Data Science one should have a clear goal in his/her mind that why he/she wants to learn Data Science? Is it for the phrase "The Sexiest Job of the 21st Century"? Is it for your college academic projects? or is it for your long-term career? or do you want to switch your career to the data scientist world? So first make a clear goal. Why do you want to learn Data Science? For example, if you want to learn Data Science for your college Academic projects then it's enough to just learn the beginner things in Data Science. Similarly, if you want to build your long-term career then you should learn professional or advanced things also. You have to cover all the prerequisite things in detail. So it's on your hand and it's your decision why you want to learn Data Science.How to Learn Data Science?Usually, data scientists come from various educational and work experience backgrounds, most should be proficient in, or in an ideal case be masters in four key areas.Domain KnowledgeMath SkillsComputer ScienceCommunication SkillDomain KnowledgeMost people thinking that domain knowledge is not important in data science, but it is very important. Let's take an example: If you want to be a data scientist in the banking sector, and you have much more information about the banking sector like stock trading, know about finance, etc. so this is going to be very beneficial for you and the bank itself will give more preference to these type of applicants more than a normal applicant.Math SkillsLinear Algebra, Multivariable Calculus & Optimization Technique, these three things are very important as they help us in understanding various machine learning algorithms that play an important role in Data Science. Similarly, understanding Statistics is very significant as this is a part of Data analysis. Probability is also significant to statistics and it is considered a prerequisite for mastering machine learning.
