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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-science-machine-learning/
课程评论：没有评论
课程名称：从零开始学习数据科学与机器学习的Python 概述：本课程旨在通过实践和动手操作，教授如何使用Python进行数据科学和机器学习编程。课程涵盖数据分析、可视化以及如何实际应用这些数据。我们的主要目标是帮助你不仅理解Python编程语言在数据科学与机器学习中的细节，还能成为一名专业的Python数据科学家，并顺利找到第一份工作。 课程内容包括一些最重要的Python库，如NumPy、Pandas和Matplotlib： - **NumPy**：简化多种数学和统计操作的库，也是Pandas库许多特性的基础。 - **Pandas**：专为处理数据而创建的Python库，是许多Python数据科学工作的核心。 - **Matplotlib**：数据可视化库，可以生成如同Excel或Google Sheets中的图表。 课程将理论与实践相结合，从Python编程基础到高级技巧，全面提升你的技能。此外，我们还将探讨机器学习的基本概念，包括监督学习与非监督学习，以及统计建模与机器学习之间的关系。 课程结构分为五大部分： 1. **数据科学与机器学习课程介绍**：概述数据科学行业、工作机会及薪资、数据科学职位角色等。 2. **Python数据分析与可视化**：通过动手训练深入学习数据分析与可视化的基础知识。 3. **数据科学数学基础**：介绍数据科学必需的数学知识，如统计学与概率。 4. **机器学习基础**：包括监督学习与非监督学习的全面介绍，并提供实践指导。 5. **开启数据科学职业生涯**：指导如何撰写简历、求职信，建立个人品牌及网络。 通过本课程的学习，你将成为一名专业的数据科学家，能够自信地申请工作，并具备扎实的技能与知识基础。
Learn Python for Data Science & Machine Learning from A-ZIn this practical, hands-on course you'll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner. Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job.We'll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib +NumPy - A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library.Pandas - A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work.NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that makes graphs as you'd find in Excel or Google Sheets. Blending practical work with solid theoretical training, we take you from the basics of Python Programming for Data Science to mastery.This Machine Learning with Python course dives into the basics of machine learning using Python. You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.We understand that theory is important to build a solid foundation, we understand that theory alone isn't going to get the job done so that's why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the Python programming language, this course is for you!Python coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding Python coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.Together we're going to give you the foundational education that you need to know not just on how to write code in Python, analyze and visualize data and utilize machine learning algorithms but also how to get paid for your newly developed programming skills.The course covers 5 main areas:1: PYTHON FOR DS+ML COURSE INTROThis intro section gives you a full introduction to the Python for Data Science and Machine Learning course, data science industry, and marketplace, job opportunities and salaries, and the various data science job roles.Intro to Data Science + Machine Learning with PythonData Science Industry and MarketplaceData Science Job OpportunitiesHow To Get a Data Science JobMachine Learning Concepts & Algorithms2: PYTHON DATA ANALYSIS/VISUALIZATIONThis section gives you a full introduction to the Data Analysis and Data Visualization with Python with hands-on step by step training.Python Crash CourseNumPy Data AnalysisPandas Data Analysis3: MATHEMATICS FOR DATA SCIENCEThis section gives you a full introduction to the mathematics for data science such as statistics and probability. Descriptive Statistics Measure of VariabilityInferential StatisticsProbabilityHypothesis Testing4: MACHINE LEARNINGThis section gives you a full introduction to Machine Learning including Supervised & Unsupervised ML with hands-on step-by-step training.Intro to Machine LearningData PreprocessingLinear RegressionLogistic RegressionK-Nearest NeighborsDecision TreesEnsemble LearningSupport Vector MachinesK-Means ClusteringPCA5: STARTING A DATA SCIENCE CAREERThis section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training.Creating a ResumeCreating a Cover LetterPersonal BrandingFreelancing + Freelance websitesImportance of Having a WebsiteNetworkingBy the end of the course you'll be a professional Data Scientist with Python and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.
