|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-data-science-with-python/
课程评论：没有评论
课程名称：数据科学与机器学习：实用指南 课程概述：解锁数据科学和可视化的Python力量。欢迎参加Selfcode Academy精心设计的综合Python编程课程，适合数据科学和可视化爱好者。无论您是初学者还是希望扩展技能，这门课程将为您提供所需的知识。 课程内容： - **Python基础**：从零开始学习Python基础知识，了解变量、数据类型及编程逻辑，探索条件语句和循环，深入重要的数据结构，如列表、元组、字典和集合，发现函数的世界，包括强大的lambda函数，熟悉面向对象编程（OOP）概念。 - **Python在数据科学中的作用**：无缝过渡到数据科学，使用Python的datetime模块操作日期和时间，利用正则表达式（regex）处理复杂的文本模式，使用Python内置函数，掌握NumPy进行高效的数值计算，精通Pandas及其数据结构（如Series和DataFrames），学会数据清洗技能以处理缺失值和异常值，驾驭Pandas进行数据操作，包括索引、分组、排序和合并，通过Matplotlib进行数据可视化，创建引人注目的图形。 - **高级数据科学与可视化**：深入探索探索性数据分析（EDA）技术，使用Pandas Profiling、DABL和Sweetviz自动化数据分析，完善数据清洗和预处理技术，使用Seaborn制作迷人的可视化图，通过Plotly创建各种图表，从线图、面积图到散点图和小提琴图，利用地理可视化展示数据。 - **统计与假设检验**：深入描述性统计，包括集中趋势和离散程度，掌握推断统计，包括抽样、置信区间和假设检验，学习使用Python库进行假设检验。 - **综合项目**：将您的技能应用于一个真实的商业数据科学项目，定义商业问题并构建分析框架，全面总结您的发现。 完成本课程后，您将掌握数据科学和可视化所需的Python编程基础，能够自信地进行数据清洗、分析和可视化，为数据驱动决策提供支持。不要错过这个开启数据科学旅程的机会，立即注册，释放Python在数据探索与可视化中的潜力！
Unlock the Power of Python for Data Science and VisualizationWelcome to a comprehensive Python programming course tailored by Selfcode Academy for data science and visualization enthusiasts. Whether you're a beginner or looking to expand your skill set, this course will equip you with the knowledge you need.Master the Python Basics:Start from scratch with Python fundamentals.Learn about variables, data types, and the logic behind programming.Explore conditional statements and loops.Dive into essential data structures like lists, tuples, dictionaries, and sets.Discover the world of functions, including powerful lambda functions.Get familiar with Object-Oriented Programming (OOP) concepts.Python's Role in Data Science:Transition to data science seamlessly.Manipulate dates and times using Python's datetime module.Tackle complex text patterns with regular expressions (regex).Harness the power of built-in Python functions.Embrace NumPy for efficient numerical computing.Master Pandas and its data structures, including Series and DataFrames.Acquire data cleaning skills to handle missing values and outliers.Excel at data manipulation with Pandas, including indexing, grouping, sorting, and merging.Dive into data visualization with Matplotlib to create compelling graphs.Advanced Data Science and Visualization:Uncover insights through Exploratory Data Analysis (EDA) techniques.Automate data analysis with Pandas Profiling, DABL, and Sweetviz.Perfect your data cleaning and preprocessing techniques.Craft captivating visualizations using Seaborn.Create various plots, from lines and areas to scatter and violin plots with Plotly.Take your data to the map with geographical visualizations.Statistics and Hypothesis Testing:Dive into descriptive statistics, including central tendency and dispersion.Master inferential statistics, covering sampling, confidence intervals, and hypothesis testing.Learn to conduct hypothesis tests using Python libraries.Capstone Project:Apply your skills to a real-world data science project.Define a business problem and structure your analysis.Summarize your findings in a comprehensive report.Upon completing this course, you'll have a strong foundation in Python programming for data science and visualization. You'll possess the expertise to clean, analyze, and visualize data, empowering you to make data-driven decisions confidently.Don't miss this opportunity to embark on your data science journey. Enroll now and unleash the potential of Python for data exploration and visualization!
