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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineering-with-python/
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课程名称：使用Python进行数据工程 课程概述：计算机与人工智能学院自豪地推出课程“使用Python进行数据工程”。该课程由一支专家团队（博士、博士候选人、高级讲师、顾问、研究人员）和行业专家共同开发，旨在回应2020年IT/计算机科学/工程/数据科学领域中最受欢迎和高薪的工作及技能的讨论。为了使课程更具互动性，我们还提供了代码演示，逐步讲解如何应用每个概念和原则。 课程要求： - 一台计算机（包括设置和安装说明） - 学习的热情 - 课程提供所需的一切 课程内容： - 理解Python编程基础及数据科学与机器学习基础 - 逐步指导机器学习与数据科学应用 - 提升核心编程技能至高级水平 - 设置Python机器学习环境 - 数据理解与统计学基本知识 - 数据预处理：文件读取、数据维度检查、数据统计摘要、属性间相关性分析 - 数据预处理：Python中的缩放、归一化、二值化、标准化及特征选择技术 - 使用Python进行数据可视化，包括条形图、直方图、饼图等 - 构建人工神经网络及Keras教程：逐步开发人工神经网络 - 深度学习项目：手写数字识别（完整项目） - Naive Bayes分类器、线性回归、逻辑回归及聚类（K-均值聚类）入门 - Python编程基础：环境设置、变量、列表、元组、字典、布尔运算、条件、循环等 - Python中的文件处理、流程图、算法及模块化设计 - 软件设计与问题解决方法的介绍，及流程图的应用 课程更新：我们会不断更新课程内容。 疑问支持：提供全面支持，解答您所有的问题。 无风险承诺：本课程提供30天退款保证。 适合人群： - 初学者，希望获得第一份编程工作的必要技能 - 希望掌握Python编程技能，以便进一步学习机器学习、数据科学和人工智能的人员 - 希望通过学习Python数据工程技能来提升职业发展的人员
Academy of Computing & Artificial Intelligence proudly present you the course "Data Engineering with Python". It all started when the expert team of Academy of Computing & Artificial Intelligence (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts. hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020. To make the course more interactive, we have also provided a code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance].RequirementsHere's the checklist:A computer - Setup and installation instructions are included.Your enthusiasm to learn Everything else needed is already included in the course.At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning.The course will have step by step guidance for machine learning & Data Science with Python.You can enhance your core programming skills to reach the advanced level. Setting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques: Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]Naive Bayes Classifier with Python [Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering [K - Means Clustering ]K - Means ClusteringPython ProgrammingSetting up the environmentPython For Absolute Beginners: Setting up the Environment: AnacondaPython For Absolute Beginners: Variables , Lists, Tuples , DictionaryBoolean operationsConditions , Loops(Sequence , Selection, Repetition/Iteration)FunctionsFile Handling in PythonFlow ChartsAlgorithmsModular DesignIntroduction to Software Design - Problem SolvingSoftware Design - Flowcharts - SequenceSoftware Design - Modular DesignSoftware Design - RepetitionFlowcharts Questions and Answers # Problem SolvingDoes the course get updated?We continually update the course as well.What if you have questions?we offer full support, answering any questions you have.There's no risk!This course comes with a full 30 day money-back guarantee. Who this course is for:Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.Who want to improve their career options by learning the Python Data Engineering skills.
