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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analyst-bootcamp/
课程评论：没有评论
课程名称：数据分析师训练营 2025：准备成为数据分析师 课程概述：加入数据分析师训练营 2025，开启成为高效数据分析师的转变之旅。本课程全面覆盖了数据分析领域所需的基本技能，包括 Python 编程、SQL 查询、数据分析技巧等，通过实用示例、挑战和真实项目进行学习。 您将学习的内容包括： - **Python 数据分析**：Python 基础、控制流、函数和面向对象编程，增强编码能力的 Python 挑战，包含聊天机器人、文件管理器、数据提取等项目。 - **SQL 数据分析**：从基础到高级的 SQL，学习联接、聚合、窗口函数，进行真实项目，掌握 SQL 数据清理与查询优化。 - **数据整理与准备**：清理杂乱的数据集，处理缺失值、异常值和重复值，利用 Pandas 进行探索性数据分析（EDA）。 - **数据可视化**：可视化趋势、相关性和 KPI，使用 Matplotlib 和 Seaborn 绘图，为利益相关者创建洞察。 - **统计学**：描述性和推断统计，假设检验，概率分布和置信区间。 - **机器学习**：使用 Scikit-learn 创建 ML 模型，推荐系统与 NMF，时间序列预测项目。 - **真实世界项目**：数据清理与可视化、SQL 项目（电商、人力资源和销售）、使用 ChatGPT/OpenAI 自动化分析任务、利用 Python 进行时间序列预测和 AI 驱动的仪表板。 - **职业准备**：项目组合的构建、简历技巧与面试练习、使用 ChatGPT 编写 SQL 查询、报告和总结。 课程结构：本训练营包含 35 以上个模块，逻辑清晰，适合初学者。内容包括 Python 编程介绍、动手 Python 项目、Numpy 与 Pandas 深入、初级到高级 SQL 项目、数据准备与清理、EDA 与可视化、统计学、分析师的机器学习、AI 工具（如 ChatGPT 和自动化）以及从头到尾的真实项目和职业导向模块。 每个模块包括： - 视频讲座（简短、清晰且引人入胜） - 作业与测验 - 源代码和数据集 - 适合展示的项目 - 就业搜索的额外资源 您将使用的工具：Python 3 和 Jupyter Notebook、SQL（MySQL 或 PostgreSQL）、Pandas、Numpy、Seaborn、Matplotlib、Scikit-learn（机器学习）、Statsmodels（统计与机器学习）、ChatGPT 和 OpenAI（自动化与 AI 任务）、来自 Kaggle 的数据、网络爬虫和 CSV。 为何选择 Python 和 SQL？Python 和 SQL 是每位成功数据分析师和数据科学家的基础。这一强大的组合使您能够轻松地从各种来源获取、组织、分析和可视化数据。Python 简单易用，库丰富，而 SQL 使数据从数据库的高效检索成为可能，助力深入分析。这些备受青睐的技能在 Google、Facebook、Amazon 等顶级企业中具备极高的价值。 从顶级讲师学习：获得来自具有真实世界经验和行业知识的资深讲师的见解，在他们的指导下提升您的职业机会，成为数据分析的英雄。 现在就报名，开始您的学习之旅：本课程适合希望进入数据分析领域的初学者以及希望扩展 Python 和 SQL 技能的中级分析师。今天就启动您的旅程，开启数据驱动的机会之门。
Join the Data Analyst Bootcamp 2025 and embark on a transformative journey towards becoming a proficient data analyst. This comprehensive Udemy course equips you with the essential skills needed to excel in the field of data analysis. Learn Python programming, SQL querying, data analysis techniques, and more, all while engaging in practical examples, challenges, and real-world projects.What You'll Learn:- Python for Data Analysis:Python Basics, Control Flow, Functions & OOPPython Challenges to boost coding skillsPython Projects: Chat Bots, File Manager, Data Extraction & More- SQL for Data Analytics:SQL Basics to Advanced: Joins, Aggregations, Window Functions.Real Project.SQL for Data Cleaning & Query Optimization.- Data Wrangling & Preparation:Cleaning Messy DatasetsDealing with Missing Values, Outliers, DuplicatesExploratory Data Analysis (EDA) using Pandas- Data Visualization:Visualizing trends, correlations, and KPIsPlotting using Matplotlib and SeabornCreating insights for stakeholders- Statistics for Data Science:Descriptive & Inferential StatsHypothesis TestingProbability Distributions & Confidence Intervals- Machine Learning:Building ML models with Scikit-learnRecommender Systems with NMFTime Series Forecasting Projects- Real-World Projects:Data Cleaning & Visualization of Scraped DataSQL Projects: E-commerce, HR, and SalesUsing ChatGPT/OpenAI to Automate Analytics TasksTime Series Forecasting with PythonAI-Powered Dashboards- Career Preparation:Portfolio Building with ProjectsResume Tips & Job Interview PracticeUsing ChatGPT to Write SQL Queries, Reports, and SummariesCourse Structure (What You Get):This Bootcamp includes over 35+ sections, organized in a logical, beginner-friendly flow:Python Programming Introduction.Hands-On Python Projects.Numpy & Pandas Deep Dive.SQL for Beginners to Advanced.SQL Aggregations, Joins & Functions.Intermediate SQL Projects.Data Preparation & Cleaning.EDA & Visualization.Statistics.Machine Learning for Analysts.AI Tools for Analysts (ChatGPT + Automation).Real-World End-to-End Projects.Career-Focused Modules.Each module includes:Video lectures (short, clear, and engaging)Assignments and quizzesSource code and datasetsPortfolio-ready projectsBonus resources for job searchTools You'll Use:Python 3 & Jupyter NotebookSQL (MySQL or PostgreSQL)Pandas, Numpy, Seaborn, MatplotlibScikit-learn (Machine Learning)Statsmodels (Statistics & Machine Learning)ChatGPT & OpenAI (Automation & AI Tasks)Data from Kaggle, Web Scraping, and CSVsWhy Python and SQL?Python and SQL are the backbone of every successful data analyst and data scientist. This powerful combination empowers you to gather, organize, analyze, and visualize data from various sources effortlessly.Python's simplicity and vast library ecosystem make it the go-to language for data-related tasks, while SQL enables efficient data retrieval from databases, enabling deeper analysis.These highly sought-after skills are valued by top employers like Google, Facebook, Amazon, and more. With this course, you'll acquire job-ready data superpowers to propel your career forward.Learn from a Top-Rated Instructor:Gain insights from an experienced instructor with real-world expertise and industry knowledge. Benefit from their guidance as you level up your career opportunities and become a data analysis hero.Enroll Now and Get Started:This course caters to beginners looking to enter the field of data analysis, as well as intermediate analysts aiming to expand their Python and SQL skills. Kick-start your journey today and unlock a world of data-driven opportunities.
