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description=Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.;

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universities skip to main content en home python track data manipulation in python updated 03 2026 take the pain out of data manipulation using pandas you ll learn how to transform sort and filter data in dataframes ready for quick analysis start track for free included with premium or teams python data manipulation 16 hr 30 681 create your free account or email address password visible start learning for free by continuing you accept our terms of use our privacy policy and that your data is stored in the usa loved by learners at thousands of companies group training 2 or more people try datacamp for business track description data manipulation in python master data manipulation with python s most powerful libraries unlock the full potential of your data with python s essential data manipulation libraries pandas and numpy in this track you ll learn how to efficiently clean reshape and analyze real world datasets using the most popular tools in the python data ecosystem by the end of the track you ll have the skills to tackle any data manipulation challenge that comes your way become a pandas power user dive deep into the pandas library and learn how to import and clean data from various sources like csv excel and sql databases calculate statistics and create informative visualizations reshape data from wide to long format for efficient analysis combine multiple datasets using advanced joining and merging techniques work with hierarchical data using multi index dataframes streamline your workflow with numpy discover the power of numpy the foundation of python s data science stack you ll learn how to create sort filter and update numpy arrays while efficiently performing complex mathematical operations on large datasets additionally you ll explore how to integrate numpy with pandas to create a seamless data manipulation workflow and optimize your code for improved speed and performance hands on learning with real datasets practice your new skills on real world data including new york city s tree census customer purchase data stock market prices online review datasets by working with authentic datasets you ll gain practical experience that directly translates to your own data manipulation projects advance your data science journey whether you re an aspiring data scientist or an experienced analyst looking to upgrade your skills mastering data manipulation is essential the techniques you ll learn in this track serve as the foundation for machine learning data visualization and statistical analysis by honing your data manipulation skills you ll be prepared to tackle advanced data science concepts and real world challenges start manipulating data with confidence take the first step towards becoming a data manipulation expert with a combination of interactive exercises real world datasets and hands on projects this track provides a comprehensive learning experience by the end of the track you ll have the confidence and skills to wrangle any dataset and uncover valuable insights start your journey to mastering data manipulation today prerequisites there are no prerequisites for this track course ai native 1 data manipulation with pandas learn how to import and clean data calculate statistics and create visualizations with pandas project bonus getting a good night s sleep dive into sleep data and gain insights about factors that impact sleep quality course 3 reshaping data with pandas reshape dataframes from a wide to long format stack and unstack rows and columns and wrangle multi index dataframes course 4 joining data with pandas learn to combine data from multiple tables by joining data together using pandas course 5 introduction to numpy master your skills in numpy by learning how to create sort filter and update arrays using nyc s tree census skill assessment bonus data manipulation with python data manipulation in python 4 courses track complete earn statement of accomplishment add this credential to your linkedin profile 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