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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-pandas-full-course/
课程评论：没有评论
**Data Analysis with Pandas: A Comprehensive Python Course** This course provides a thorough introduction to Pandas, a powerful open-source library built for data analysis and manipulation in Python. Pandas is an essential tool for professionals in fields such as statistics, finance, neuroscience, economics, web analytics, and advertising, enabling efficient data cleaning, transformation, and loading. **Key Learnings:** * **Data Manipulation and Analysis:** Learn to effectively analyze and manipulate data using Pandas, a task crucial for Data Science. * **Data Loading and Reading:** Master the ability to load and read datasets from various formats including Excel, CSV, JSON, and XML. * **Data Cleaning:** Acquire skills to clean data by handling incorrect formats, removing duplicates, and addressing missing values (NaN, NA, NaTC). * **DataFrame and Series Operations:** Explore Pandas DataFrames and Series, including inserting and deleting columns, grouping rows/columns, and combining data structures. * **Advanced Features:** Understand and implement operations such as indexing, selecting multiple columns, iterating over rows and columns, sorting, handling duplicates, and performing string and date/time operations. * **Data Visualization:** Learn to plot DataFrames to visualize your data insights. * **Practical Application:** The course features over 100 live coding examples to solidify understanding of each lesson. **Course Structure Includes:** * Introduction to Pandas and its features. * Installation and setup. * Creating and manipulating DataFrames and Series. * Working with categorical data. * Reading and writing various file formats. * Indexing, selection, and data cleaning techniques. * Grouping, aggregation, and statistical functions. * String and date/time operations. * Data visualization with Pandas. * An online quiz to reinforce learning. This course is designed to equip learners with the practical skills needed to effectively work with data using Python and Pandas.
Welcome to the Pandas Full Course by Studyopedia.Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.FeaturesAnalyze DataManipulate DataColumns can be inserted and deleted from DataFrameGroup the rows/ columns of a DataFrame/ SeriesPlotting is possibleRead CSV/ JSONFix the inaccurate dataClean the Data completelyEasy to handle the missing data in the form: NaN, NA, or NaTCourse LessonsPandas - Introduction & FeaturesInstall & Setup PandasCreate a Pandas DataFrame (Run first program)Pandas DataFrames - Attributes & MethodsJoin Pandas DataFrameConcatenate Pandas DataFramesCreate a Pandas SeriesPandas Series - Attributes & MethodsCombine two Pandas seriesCategorical Data in PandasWorking with Categories in PandasRead CSV in PandasRead Excel in PandasIndexing in PandasSelect multiple columns in PandasAdd a new column in PandasDelete rows/ columns in PandasIterate over rows and columns in PandasSorting in PandasHandle Duplicates in PandasClean the Data in PandasString Operations in PandasDate Time Operations in PandasRemove Whitespace in PandasGroup the Data in PandasStatistical Functions in PandasPlot a DataFrame in PandasQuizWe have also provided an Online Quiz to polish your Pandas skills after completing the lessons.100+ live coding examples are covered to make each lesson easier for the students.Hit the Enroll button!
