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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-using-python-with-9-projects-in-hindi/
课程评论：没有评论
**课程名称：** 使用 Python 进行数据分析 [2025]，含 9 个项目（印地语授课） **课程概述：** 此课程（于 2025 年 5 月 19 日更新）旨在帮助学员掌握使用 Python 编程语言进行数据分析和获取宝贵见解所需的技能和知识。课程专门针对 2025 年，整合了最新的数据分析工具、技术和行业最佳实践。通过实际项目，学员将有机会应用所学知识，发展出色的数据分析实操能力。 **课程时长：** 这是一门为期 15 小时以上的密集课程，涵盖了使用 Python 进行数据分析的广泛主题。课程结构清晰，学员可以循序渐进地从基础概念过渡到高级技术。 **目标学员：** 本课程适合初次接触数据分析和 Python 的学生。无需任何相关经验。课程由经验丰富的数据科学家授课，教学风格清晰且引人入胜。 **课程亮点：** * **9 个实践项目：** 学生将有机会将所学知识应用于九个实践项目中，内容涵盖： 1. 员工薪资数据插补 2. FIFA19 数据集的数据清洗和缺失值插补 3. 维拉特·科利表现分析 4. 电影推荐系统 5. 智能手表数据分析 6. 印度初创企业增长分析 7. 使用 Python 和机器学习进行虚假新闻检测 8. 反馈数据集的数据清洗 9. 酒店预订需求数据集 * **全面的技能培养：** 课程旨在帮助学生发展成为数据分析师所需的技能。学完课程后，学生将能够： * 收集和清洗数据 * 使用统计和机器学习方法进行数据分析 * 以清晰且信息量大的方式可视化数据 * 构建可用于预测的数据模型 **课程优势：** * 学习数据分析和 Python 的基础知识。 * 通过九个实践项目应用所学内容。 * 培养成为数据分析师所需的技能。 * 获得流行数据科学工具和库的实操经验。 * 向经验丰富的数据科学家学习。 **总结：** “使用 Python 进行数据分析 [2025]，含 9 个项目”课程是一份宝贵的资源，适合有志于深入学习数据分析和 Python 的学生。本课程内容全面、注重实践，并由经验丰富的数据科学家授课。
** Course updated on May 19, 2025. **The Data Analytics using Python [2025] course is designed to equip participants with the necessary skills and knowledge to perform data analysis and gain valuable insights using Python programming language. This course is specifically tailored for the year 2025 and incorporates the latest tools, techniques, and industry best practices in data analytics. Through hands-on projects, participants will have the opportunity to apply their learning and develop practical data analytics skills.Course Duration: This is an intensive 15+ hours course that covers a wide range of topics related to data analytics using Python. The course is structured in a way that allows participants to progress from foundational concepts to advanced techniques gradually.The course is designed for students who are new to data analytics and Python. No prior experience with either is required. The course is taught by experienced data scientists who use a clear and engaging teaching style.The course includes nine hands-on projects that give students the opportunity to apply what they have learned. The projects cover a variety of topics, including:Project 1 - Imputing Data Employee SalaryProject 2 - Data Cleaning and Imputing Missing Values in FIFA19 DatasetProject 3- Virat Kohli Performance AnalysisProject 4 -Movie Recommender SystemProject 5- Smartwatch Data AnalysisProject 6- Analyzing the Growth of Indian StartupsProject 7 - Fake News Detection using Python and Machine LearningProject 8 - Data Cleaning on Feedback DatasetProject 9 - Hotel Demand Booking DatasetThe course is designed to help students develop the skills they need to become data analysts. By the end of the course, students will be able to:Collect and clean dataAnalyze data using statistical and machine learning methodsVisualize data in a clear and informative wayBuild data models that can be used to make predictionsThe Data Analytics using Python [2025] with 9 Projects course is a valuable resource for students who are interested in learning more about data analytics and Python. The course is comprehensive, hands-on, and taught by experienced data scientists.Here are some of the benefits of taking this course:Learn the basics of data analysis and PythonApply what you learn in nine hands-on projectsDevelop the skills you need to become a data analystGet hands-on experience with popular data science tools and librariesLearn from experienced data scientists
