Master Data Analysis with Python – Selecting Subsets of Data

Best practices from pandas expert Ted Petrou author of Master Data Analysis with PythonSelect subsets of data from DataFrames with just the brackets, loc, and ilocLearn how to simultaneously select rows and columnsLearn how to filter for specific criteria using boolean selectionLearn a more intuitive procedure for filtering data with the query methodTake a challenging Certification Exam to validate your knowledge gainedMaster Data Analysis with Python – Selecting Subsets of Data targets those who want to completely master doing data analysis with pandas. This is the second course in the Master Data Analysis with Python series and provides extremely detailed coverage of how to do any type of subset selection within a pandas DataFrame or Series.Exercises and a Free Certification ExamOver 100 exercises with detailed solutions are available for you to practice. Additionally, there is a free challenging certification exam offered for those who want to validate their knowledge gained.Expert InstructorThis course is taught by expert instructor Ted Petrou, author of the highly-rated text books Pandas Cookbook and Master Data Analysis with Python. Ted has taught over 1,000 hours of live in-person data science courses that use the pandas library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library. All of the material and exercises are written in Jupyter Notebooks available for you to download. This allows you to read the notes, run the code, and write solutions to the exercises all in a single place. Become an ExpertThis course targets those who have an interest in becoming experts and completely mastering the pandas library for data analysis in a professional environment. This course does not cover all of the pandas library, just a small and fundamental portion of it. If you are looking for a brief introduction of the entire pandas library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful using pandas for data analysis in a professional environment.The Master Data Analysis with Python SeriesSelecting Subsets of Data is second in the Master Data Analysis with Python series which includes the following sequence of courses:Intro to PandasSelecting Subsets of Data with PandasEssential Pandas CommandsGrouping Data with PandasTime Series with PandasCleaning Data with PandasJoining Data with PandasData VisualizationAdvanced PandasExploratory Data AnalysisThis course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python.Who this course is for:Those who want to begin a comprehensive path for mastering the pandas library with best practices to analyze dataThose who want to test their knowledge gained by taking a challenging certification exam