|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-projects-python/
课程评论：没有评论
课程名称：Python与R的真实数据分析项目 课程概述： 本课程是第一门提供实操数据分析项目的课程，使用Python和R进行学习。通过这一课程，学生可以获得真实的项目经验，掌握在数据分析领域所需的技能。 学生评价： 许多学员对课程给予了高度评价，称这是一个极好的项目，尤其是对想要开始或转型为数据分析职业的学习者。学员们纷纷表示课程内容简单易懂，讲解清晰，讲师在答疑方面也反应迅速。课程涵盖了数据清洗、数据处理和数据可视化的知识，使用的Plotly库更是提升了数据可视化的体验。学员们通过五个项目，从零基础到掌握相关知识，感到自己的信心大增。 课程特色： - 该课程不需要学生成为Python或R的专家，基础知识即可开始。 - 课程以真实数据为基础，解决现实世界的数据科学和数据分析问题。 - 学习涵盖了从导入杂乱数据、数据清洗、数据合并到分组和聚合数据，以及探索性数据分析，最终准备数据进行统计分析、机器学习和数据展示的全过程。 - 课程既注重编程技能，也强调商业思维，教会学员如何利用数据可视化得出结论。 适合对象： 此课程适合那些接触数据但尚未能充分利用其价值的专业人士，以及希望基于数据做出决策的产品经理等。 学习方式： 课程中提供大量的实践机会，鼓励通过动手编码来学习，确保学生能够在真实的项目中掌握技能。 保证满意：若不满意可享受30天退款保证。 若您希望通过Python在数据科学或数据分析领域有所作为，这门课程无疑是一个理想的选择！
This is the first course that gives hands-on Data Analysis Projects using Python and R..Student Testimonials:Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahatonice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu QI love how in 5 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results! Also all my questions were answered! Amazin course 110/100 - María Fernanda Villegas CascoUThe course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q & A as well.- Abhishek GajbhiyeCan you start right now?A frequently asked question of Python Beginners is: "Do I need to become an expert in Python or R coding before I can start working on Data Analytics Projects ? "The clear answer is: "No!You just require some Python or R 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 Analysis or as a replacement for Excel, then this course is a perfect match!Why should you take this Course?It explains Projects on Real Data and real-world Data Science/Data Analytics Problems. 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 Analytics , Machine Learning and Data Presentation.Professionals who are exposed to data but can't yet leverage its powerProduct managers who want to make data-driven decisionsIt gives you plenty of opportunities to practice and code on your own. Learning by doing.In real-world Data Analytics 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 using various Data VisualisationGuaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
