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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-real-world-use-cases-hands-on-python/
课程评论：没有评论
课程名称：数据分析真实案例 - 实践Python 课程概述：这是第一门通过Python进行实践数据分析项目的课程。该课程专注于真实的案例，使学生能够直接应用所学知识。 学生评价： - Shan Singh表示，教师非常出色，项目逐步讲解，内容易于理解，是最好的数据分析课程。 - Nicholas Nita指出，这是想要成为数据分析师或数据科学家的初学者的理想课程，能够将理论与实践结合，使用重要的数据分析包（如Pandas、Matplotlib、Plotly等）。 - Mirza Hyder Baig认为课程内容丰富，讲师在讲解技术知识的同时也简要明了地介绍Python命令的执行流程。 - Tal Ioffe称赞讲师热情友好，能够理解初学者的困难，讲解生动易懂。 常见问题解答：对于Python初学者，很多人问：“我需要精通Python编码才能开始数据分析项目吗？”答案是“不需要！只需掌握一些Python基础即可。” 如果你主要希望将Python用于数据科学/数据分析或替代Excel，这门课程非常适合你。 为什么选择这门课程？ - 它讲解真实数据分析项目，避免玩弄虚拟数据，是成为数据分析师或数据科学家的最佳途径。 - 包含完整的真实数据分析流程，包括数据导入、清理、合并、分组、探索性数据分析，以及为统计、数据分析、机器学习和数据展示准备和处理数据。 - 提供大量实践机会，让你在实践中学习。 在真实的数据分析项目中，编码与业务理解同样重要。这可能是唯一教授深入Python编程和全局思考（如如何通过数据分析得出结论）的课程。 课程保证：如果不满意，可以享受30天退款保证。
This is the first course that gives hands-on Data Analysis Projects using Python..Student Testimonials:Shan Singh is absolutely amazing! Step-by-step projects with clear explanations. Easy to understand. Real-world Data Analysis projects. Simply the best course on Data Analysis that I could find on Udemy! After the course you can easily start your career as a Data Analyst.- Nicholas NitaThis is the best course for people who have just learnt python basics(prerequisite for this course) and want to become Data Analyst/Data Scientist. This will act as bridge between fundamental theoretical python syntax to its application by using most important data analysis packages(Pandas, Matplotlib, Plotly etc). - Mirza Hyder BaigVery good course, on one side the instructor elaborates on technic general knowledge like what is integer (signed/un-signed and what it contains) on the other side he is very short and to the chase with the python commands and the requirements execution flow - Tal Ioffesuperb... what a good soul he is...his voice is filled with love and humbleness and understanding....he knows the pains of a begineer...when he explains it fells like he is explaining to a 5 year old kid..-Can you start right now?A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?"The clear answer is: "No!You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays that you can learn from my Free Python course 'Basics Of Python'As a Summary, if you primarily want to use Python for Data Science/Data Analytics or as a replacement for Excel, then this course is a perfect match!Why should you take this Course?It explains Real-world Data Analysis Projects on real Data. No toy data! This is the simplest & best way to become a Data Analyst/Data ScientistIt shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Data Analysis , Machine Learning and Data Presentation.It gives you plenty of opportunities to practice and code on your own. Learning by doing.In real-world Data Analysis projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion by doing Data Analysis..Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
