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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-with-pandas-python/
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课程名称：全面掌握数据分析与Pandas：动手实践Pandas Python 概述：加入超过40,000名成功学生的行列，掌握Python和Pandas技能（数据分析库），参与我的畅销热门课程。课程受到了学员们的一致好评，许多学生表示，讲师Ankit对数据处理的解释清晰易懂，能有效回答他们在问答环节中的提问。此外，讲师对课程内容掌握全面，授课节奏恰到好处，使得学习体验愉快。 课程更新：新增数据可视化库Matplotlib和Seaborn的部分，以及NumPy库的内容。 如果您希望掌握当前市场上最受欢迎的数据分析库Pandas，欢迎阅读以下内容。我是Ankit，一名在Udemy上畅销的作者，教授多门关于数据科学、Python、Pandas、PySpark和模型部署的课程。通过本课程，您将能够应用Pandas工具对各种数据集进行大多数数据分析功能，包括探索性数据分析、数据转换、数据整理、时间序列数据分析和可视化分析等。 如今，微软Excel的时代即将结束，您是否希望学习一种下一代、功能强大的数据处理工具，这是数据分析师、数据科学家和数据工程师所需的热门技能？那么这门课程正是为您量身定制的。课程内容从Pandas库的基础知识开始，涵盖数据处理和分析的主要概念，帮助您在使用Pandas进行数据处理时建立信心。 课程内容包括： - Pandas库的基础知识 - Python快速入门课程（供需要复习Python基本概念的学员） - Python Anaconda和Pandas的安装 - Pandas库中两种重要数据结构的详细理解：系列数据类型和数据框数据类型 - 如何对数据进行分组以便于更好的分析 - 如何使用Pandas进行文本处理 - 使用Pandas内置可视化工具进行数据可视化 - Pandas中的多级索引 - 时间序列分析 - 数值计算库：NumPy - 数据可视化的Matplotlib和Seaborn - 机器学习理论基础 - 完整的机器学习模型实现（使用Scikit-learn API，从数据导入到数据拆分、模型拟合和评估，以及如何提升机器学习模型性能） - 从不同类型的文件中导入数据 课程结束后，您将获得： - 150+小时的高清质量视频讲座 - 16小时以上的课程内容 - 讨论论坛以解决您的疑问 - 测验以测试您的理解能力 该课程仍在持续更新中，我会不断添加更多与数据处理和Pandas功能相关的内容、测验和项目。所以请保持关注，立即报名参加吧！ 问候，Ankit Mistry
JOIN OTHER 40,000 SUCCESSFUL STUDENTS WHO HAVE ALREADY ENROLLED & MASTERED PYTHON & PANDAS SKILLS (DATA ANALYSIS LIBRARY) WITH ONE OF MY BEST SELLING, TOP RATED COURSE.Student Testimonial: Great going, ankit is good at explanation of data processing stuff. i bought many of his course related to python and machine learning. - JayEvery concept is clearly explained and the tutor of this course replies to every question asked in Q & A section. - Mukka AkshayIt was very good session. The instructor has enough knowledge and able to make me understand clearly. Thank you Ankit! - Bibek BaniyaThis is an amazing course if you want to understand the extent of the power of Pandas. - Venkat RajIt's one of the best course!!! Most of the topics has been covered and explained up to the expectation - Ankur SInghit is a good match with what i was looking for, the instructor is quite knowledgeable. - Shivi DhirThis class is not too fast or too slow, the way he teaches is perfect. - Frankie YIt is excellent - Rakhshee Misbahgood experience - Weiting------------------------------------------------------Update: New section on Data visualization library Matplotlib and Seaborn added.Update: New section on Numpy Library get added.------------------------------------------------------If you want to master most in-demand data analysis library pandas, carry on reading.Hi, I am Ankit, one of the Best Selling author on Udemy, taught various courses on Data Science, Python, Pandas, PySpark, Model Deployment.By the end of this course, you will able to apply all majority of Data analysis function on various different datasets with built in function available in pandas. Analysis techniques like exploratory data analysis, data transformation, data wrangling, time series data analysis, analysis through visualization and many more. Carry on reading to know more about course.The era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer.Then this course is for you, welcome to the course on data analysis with python's most powerful data processing library Pandas.Why this course?Data scientist is one of the hottest skill of 21st century and many organisation are switching their project from Excel to Pandas the advanced Data analysis tool.This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.What is this course?This course coversBasics of Pandas libraryPython crash course for any of you want refresh basic concept of pythonPython anaconda and Pandas installationDetail understanding about two important data structure available in a Pandas librarySeries data typeData frame data typeHow you can group the data for better analysisHow to use Pandas for text processingHow to visualize the data with Pandas inbuilt visualization toolMultilevel index in Pandas.Time series analysisNumerical Python: NumPy LibraryMatplotlib and Seaborn for Data visualizationMachine Learning Theoretical backgroundComplete end to end Machine Learning Model implementation with Scikit-learn API(from Importing Data to Splitting data, Fitting data and Evaluating Data) & How to Improve Machine Learning ModelImporting Data from various different kind of fileYou will get following after enrolling in this course.150+ HD quality video lecture16+ hours of contentDiscussion forum to resolve your query.quizzes to to test your understandingThis course is still in a draft mode. I am still adding more and more content, quiz, projects related to data processing with different functionalities of Pandas. So stay tuned and enroll now.RegardsAnkit Mistry
