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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-numpy-data-analysis-for-data-scientist-ai-ml-dl/
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课程名称：Python Numpy数据分析与数据科学家AI、ML、DL 课程概述： 本课程为想要成为数据科学家的学习者提供了Python Numpy数据分析的基础知识，涉及人工智能、机器学习和深度学习等领域。课程已吸引数千名学员报名，并获得积极反馈。课程内容涵盖了数组创建与访问、数组维度的索引与切片、ndarray对象等主题。学习者将掌握数据类型、转换及数组属性，并深入了解广播、数组操作（合并、分割、转置等）。课程还将介绍Numpy二元运算符、位运算、字符串函数、数学函数和三角函数，以及算术运算、统计函数和计数函数的应用。学完本课程后，学习者将熟练运用Python Numpy进行数据分析，并具备应对数据科学行业挑战的能力。 学习内容： - Numpy介绍与环境设置 - 数组的创建及访问、索引与切片、数组的不同维度 - ndarray对象与数据类型，数据类型转换 - 数组属性及创建方式，包括从已有数据创建和使用范围函数创建 - 广播及数组更新方法 - 数组操作，包括合并、转置、分割等 - Numpy二元运算符及位运算操作 - 字符串函数、数学函数与三角函数的应用 - 算术运算与统计、计数函数 - 排序及视图与拷贝的不同处理方法 讲师介绍： Faisal Zamir是一位经验丰富的程序员和计算机科学专家，拥有计算机科学硕士学位，具有超过7年的教学经验。他在各类项目中积累了丰富的编程语言和计算机相关知识，特别是在PHP、Java和Python等语言中的应用。他的教学风格结合理论与实际案例，帮助学生将所学知识应用于实际场景中。 总结： 本课程将帮助学习者提升在数据科学、人工智能、机器学习和深度学习领域中的Python数据分析技能，具有很高的学习价值，是希望提升个人能力的学员的理想选择。
Introduction to Python Numpy Data Analysis for Data Scientist AI ML DLWould want to become a Data Scientist? This course will make your foundation for Data Science, Machine, Learning etc. As this course contains thousands of students enrolled with positive feedback!The Python Numpy Data Analysis for Data Scientist course is designed to equip learners with the necessary skills for data analysis in the fields of artificial intelligence, machine learning, and deep learning. This course covers an array of topics such as creating/accessing arrays, indexing, and slicing array dimensions, and ndarray object. Learners will also be taught data types, conversion, and array attributes. The course further delves into broadcasting, array manipulation, joining, splitting, and transposing operations. Learners will gain insight into Numpy binary operators, bitwise operations, left and right shifts, string functions, mathematical functions, and trigonometric functions. Additionally, the course covers arithmetic operations, statistical functions, and counting functions. Sorting, view, copy, and the differences among all copy methods are also covered. By the end of the course, learners will be proficient in using Python Numpy for data analysis, making them ready to take on the challenges of the data science industry.What you can do with Pandas PythonData analysis: Pandas is often used in data analysis to perform tasks such as data cleaning, manipulation, and exploration.Data visualization: Pandas can be used with visualization libraries such as Matplotlib and Seaborn to create visualizations from data.Machine learning: Pandas is often used in machine learning workflows to preprocess data before training models.Financial analysis: Pandas is used in finance to analyze and manipulate financial data.Social media analysis: Pandas can be used to analyze and manipulate social media data.Scientific computing: Pandas is used in scientific computing to manipulate and analyze large amounts of data.Business intelligence: Pandas can be used in business intelligence to analyze and manipulate data for decision-making.Web scraping: Pandas can be used in web scraping to extract data from web pages and analyze it. Instructors Experiences and Education: Faisal Zamir is an experienced programmer and an expert in the field of computer science. He holds a Master's degree in Computer Science and has over 7 years of experience working in schools, colleges, and university. Faisal is a highly skilled instructor who is passionate about teaching and mentoring students in the field of computer science.As a programmer, Faisal has worked on various projects and has experience in multiple programming languages, including PHP, Java, and Python. He has also worked on projects involving web development, software engineering, and database management. This broad range of experience has allowed Faisal to develop a deep understanding of the fundamentals of programming and the ability to teach complex concepts in an easy-to-understand manner.As an instructor, Faisal has a proven track record of success. He has taught students of all levels, from beginners to advanced, and has a passion for helping students achieve their goals. Faisal has a unique teaching style that combines theory with practical examples, which allows students to apply what they have learned in real-world scenarios.Overall, Faisal Zamir is a skilled programmer and a talented instructor who is dedicated to helping students achieve their goals in the field of computer science. With his extensive experience and proven track record of success, students can trust that they are learning from an expert in the field.What you will learn in this course Python Numpy Data Analysis for Data ScientistThese are the outlines, you can read that will be covered in the course:Outlines: Introduction to Numpy - Numpy Environment SetupCreating / Accessing Arrays - Indexing & Slicing, Array Dimensions (1, 2, 3,..N), ndarray Object, Data Types, Data Type ConversionArray Attributes - Array ndarray Object Attributes, Array Creation in Different Ways, Array from Existing Data, Array from Range FunctionBroadcasting - Array Iteration, Update Array Values, Broadcasting IterationArray Manipulation Operations - Array Joining Operations, Array Transpose Operations, Array Splitting Operations, More Array OperationsNumpy Binary Operators - Binary Operations - bitwise_and, bitwise_or, numpy.invert(), left_shift, right_shiftString Functions - Mathematical Functions, Trigonometric FunctionsArithmetic Operations - Add, Subtract, Multiply, Divide, floor_divide, Power, Mod, Remainder, Reciprocal, Negative, Absolute, Statistical Functions, Counting FunctionsSorting - sort(), argsort(), lexsort(), searchsorted(), partition(), argpartition()View - CopyThis shows the confidence of the course provider in the quality of their content, and it gives you the opportunity to try out the course risk-free. So if you're looking to improve your skills in Python data analysis for data science, AI, ML, or DL, this course is definitely worth considering.Thank youFaisal Zamir
