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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-and-machine-learning-for-beginners-with-python-c/
课程评论：没有评论
课程名称：数据科学与机器学习基础（Python） 课程概览： 数据科学是对数据的研究，包括记录、存储和分析数据的方法，以有效提取有用信息。数据在我们的日常工作中至关重要，无论是客户洞察，还是指导产品、政策或系统开发的信息。大企业、社交媒体、金融以及公共部门都依赖数据科学家来分析数据并挖掘有助于业务发展的见解。Python是一种现代面向对象的动态编程语言，易于学习，适用于各种规模的任务。作为一种高级编程语言，Python更接近人类语言，并因其灵活性而被称为通用编程语言，尤其在数据科学领域应用广泛。 机器学习涉及多种概念、编程语言和框架，其核心在于赋予计算机自主编写规则或算法的能力，从而独立学习新知识。本课程将探讨一些基本的机器学习概念，并加载数据进行预测，同时使用SQL与PostgreSQL数据库进行数据交互。 您将学习到的内容包括： - 理解数据科学生命周期 - 使用Kaggle数据集 - 进行概率抽样 - 探索和使用表格数据 - 操作Pandas DataFrame进行数据清理 - 数据可视化及定性数据可视化 - 探索机器学习框架 - 理解监督学习 - 使用机器学习预测房屋价值 - 使用Scikit-Learn加载数据集并进行预测 - 理解Python表达式和语句 - 理解Python数据类型及类型转换 - 理解Python变量和数据结构 - 理解Python条件流和函数 - 学习SQL与PostgreSQL - 在PostgreSQL数据库上执行CRUD操作 - 使用SQL进行数据过滤和排序 - 理解大数据术语 数据科学家可以从事的职位包括：数据分析师、机器学习工程师、业务分析师、数据工程师、IT系统分析师、数据分析顾问及数字营销经理。
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information. Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development. Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it's flexibility. Python is used a lot in data science. Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions.We will also be using SQL to interact with data inside a PostgreSQL Database.What you'll learnUnderstand Data Science Life CycleUse Kaggle Data SetsPerform Probability SamplingExplore and use Tabular DataExplore Pandas DataFrameManipulate Pandas DataFramePerform Data CleaningPerform Data VisualizationVisualize Qualitative DataExplore Machine Learning FrameworksUnderstand Supervised Machine LearningUse machine learning to predict value of a houseUse Scikit-LearnLoad datasetsMake Predictions using machine learningUnderstand Python Expressions and StatementsUnderstand Python Data Types and how to cast data typesUnderstand Python Variables and Data StructuresUnderstand Python Conditional Flow and FunctionsLearn SQL with PostgreSQLPerform SQL CRUD Operations on PostgreSQL DatabaseFilter and Sort Data using SQLUnderstand Big Data TerminologiesA Data Scientist can work as the following:data analyst.machine learning engineer.business analyst.data engineer.IT system analyst.data analytics consultant.digital marketing manager.
