Python Pandas Full Course

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.