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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-course-for-data-analysis-numpy-pandas-matplotlib/
课程评论：没有评论
《数据科学：使用 Pandas 进行 Python 数据分析训练营》 本课程专为初学者设计，时长 6.5 小时，旨在教授大家如何使用 Python 和 Pandas 进行数据分析。课程通过教授“为什么”来帮助学员深入理解概念，并提供与初学者节奏相匹配的学习体验，避免不必要的冗余内容。 **课程亮点：** * **实操性强：** 课程将带领学员实际操作 Pandas 库来处理数据，而非仅限于理论讲解。 * **循序渐进：** 每个模块后都设有小测验，帮助检验学习效果。课程还包含一个综合性编码作业，旨在提升学员的实践能力和信心。 * **内容充实：** 课程涵盖 Python 基础、NumPy 包、Python 数据类型、Pandas 数据框创建、数据选择与过滤、数据合并与聚合、日期时间处理、高级数据操作、循环与函数，以及数据可视化。 * **实践案例：** 课程将使用 Fitbit 用户活动数据进行实践练习。 **课程目标：** 完成本课程后，学员将能够熟练地进行数据处理和可视化操作。 **学习承诺：** 鼓励学员积极完成所有 13 个分布式在各模块中的测验以及最终的综合性作业，通过实践提升编程技能。 **退款保证：** 提供 30 天内零风险的 100% 退款保证。 立即报名，踏上 Python 数据分析的学习之旅！
Hello and welcome to the course!I hope you are exited to start this journey of learning python for data analysis.By the end of this course you be able to comfortably manipulate and visualize your data.I just want a commitment from you that you will attempt all the 13 quizzes that are distributed across each of the modules and also solve the Final assignment honestly. Why ? Because the more you practice the better you code.Why you should take this course:It's Memorable: You'll learn the "why" behind everything you do, so you remember the concepts and can use them on your own later.It's the Perfect Length: The course is just 6.5 hours long, so you'll actually be able to finish it and get your certificate.It Goes at the Perfect Pace: You will learn the Python fundamentals at a pace tailored to beginners. This means you won't get left behind, and won't waste time on irrelevant filler.It's Practical: You actually use Pandas to manipulate data. It's not just dry theory. You can see you've understood by solving Quizes at the end of each section. There is a mega coding assignment to give you a hands on flavour and make you more confident in this skill. Over time i will keep on adding more coding assignmet for your practice.Now, let's have a look at the course outline.We will start by laying some foundation with the below lectures:Basic Introduction to Python.Numpy Package, which forms the foundation of Pandas Package.Then, we will learn about:Data Types in Python to store collections of data. Then we will start with the following: Create Dataframe in Pandas from different file formats.Data Selection and Filtering.Merging and aggregations which forms the back bone of the dataframe analysis.Working with Datetime using pandas.Advance Data Manipulation.Loops and Functions.Data Visualization.Assignment - Work Fitbit User Activity data.Try out the course for a full 30 days, with a Udemy-approved Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!Enroll in the Python for Data Analysis course Now! - You'll be glad that you did!
